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3932 papers:

POPLPOPL-2020-ZouZXFZS #fault #float
Detecting floating-point errors via atomic conditions (DZ, MZ, YX, ZF, LZ0, ZS), p. 27.
ASPLOSASPLOS-2020-0001SWWKK #debugging #memory management #persistent #source code
Cross-Failure Bug Detection in Persistent Memory Programs (SL0, KS, YW, TFW, AK, SK), pp. 1187–1202.
ICSAICSA-2019-AlamGPAB #framework
A Framework for Tunable Anomaly Detection (MRA, IG, CP, AA, TB), pp. 201–210.
EDMEDM-2019-AlexandronVP #identification #online #towards
Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses (GA, JARV, DEP).
EDMEDM-2019-BotelhoBH #behaviour #re-engineering #student
Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect (AFB, RSB, NTH).
EDMEDM-2019-GuoB #analysis #collaboration #using
Collaboration Analysis Using Object Detection (ZG, RB).
EDMEDM-2019-HowlinD #approach #behaviour #clustering #fuzzy #student #using
Detecting Outlier Behaviors in Student Progress Trajectories Using a Repeated Fuzzy Clustering Approach (CPH, CDD).
EDMEDM-2019-JensenHD #dataset #modelling #student
Generalizability of Sensor-Free Affect Detection Models in a Longitudinal Dataset of Tens of Thousands of Students (EJ, SH, SKD).
EDMEDM-2019-OwenRTBJKB #education #effectiveness #game studies #persistent
Detecting Wheel Spinning and Productive Persistence in Educational Games (VEO, MHR, KPT, VB, DJ, EK, RSB).
EDMEDM-2019-ShilloHG #geometry
Detecting Creativity in an Open Ended Geometry Environment (RS, NH, KG).
EDMEDM-2019-SmeetsBB #education
Affect detection in home-based educational software for young children (RS, FLB, EB).
EDMEDM-2019-YangBSHL #learning #student
Active Learning for Student Affect Detection (TYY, RSB, CS, NTH, ASL).
EDMEDM-2019-ZhangHWLFSFHA #comparison #modelling
Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations (CZ, YH, JW, DL, WF, JCS, SF, KH, VA).
EDMEDM-2019-ZingleRXGXPKA
Detecting Suggestions in Peer Assessments (GZ, BR, YX, EFG, ZX, FP, GK, AA).
ICPCICPC-2019-AlrubayeM0 #information retrieval #java #library #migration #on the #using
On the use of information retrieval to automate the detection of third-party Java library migration at the method level (HA, MWM, AO0), pp. 347–357.
ICPCICPC-2019-LiuYJZS #clone detection #contract
Enabling clone detection for ethereum via smart contract birthmarks (HL0, ZY, YJ0, WZ, JS), pp. 105–115.
ICPCICPC-2019-MizouchiSII #adaptation #named #online #using
PADLA: a dynamic log level adapter using online phase detection (TM, KS, TI, KI), pp. 135–138.
ICPCICPC-2019-PecorelliPNL #heuristic #machine learning #smell
Comparing heuristic and machine learning approaches for metric-based code smell detection (FP, FP, DDN, ADL), pp. 93–104.
ICPCICPC-2019-YuLCLXW #semantics
Neural detection of semantic code clones via tree-based convolution (HY, WL, LC, GL, TX, QW), pp. 70–80.
ICSMEICSME-2019-AlrubayeM0 #automation #java #library #migration #named
MigrationMiner: An Automated Detection Tool of Third-Party Java Library Migration at the Method Level (HA, MWM, AO0), pp. 414–417.
ICSMEICSME-2019-GaoJJ00G #contract #debugging #named
SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding (ZG, VJ, LJ, XX0, DL0, JCG), pp. 394–397.
ICSMEICSME-2019-GaoWLYSC #approach #clone detection #named
TECCD: A Tree Embedding Approach for Code Clone Detection (YG, ZW, SL, LY, WS, YC), pp. 145–156.
ICSMEICSME-2019-Imran #analysis #design #java #open source #smell
Design Smell Detection and Analysis for Open Source Java Software (AI), pp. 644–648.
ICSMEICSME-2019-MihanceaS #adaptation #fault
CodeSonar (R) Extension for Copy-Paste-(Mis) Adapt Error Detection (PFM, RS), pp. 386–389.
MSRMSR-2019-AmannNNNM
Investigating next steps in static API-misuse detection (SA, HAN, SN, TNN, MM), pp. 265–275.
MSRMSR-2019-PerezC #abstract syntax tree #clone detection #learning #syntax
Cross-language clone detection by learning over abstract syntax trees (DP, SC), pp. 518–528.
MSRMSR-2019-ScalabrinoBLLO #android #api #data-driven #empirical
Data-driven solutions to detect API compatibility issues in Android: an empirical study (SS, GB, MLV, ML, RO), pp. 288–298.
SANERSANER-2019-ArcelliCP #automation #modelling #performance #refactoring #uml
Automating Performance Antipattern Detection and Software Refactoring in UML Models (DA, VC, DDP), pp. 639–643.
SANERSANER-2019-BuchA #abstract syntax tree #clone detection #recursion #syntax
Learning-Based Recursive Aggregation of Abstract Syntax Trees for Code Clone Detection (LB, AA0), pp. 95–104.
SANERSANER-2019-ChaparroFSM #debugging #query
Reformulating Queries for Duplicate Bug Report Detection (OC, JMF, US, AM), pp. 218–229.
SANERSANER-2019-ChenBJLH #consistency
Detecting Data Races Caused by Inconsistent Lock Protection in Device Drivers (QLC, JJB, ZMJ, JL, SMH0), pp. 366–376.
SANERSANER-2019-Farmahinifarahani #clone detection #on the #precise #tool support
On Precision of Code Clone Detection Tools (FF, VS, DY, HS, CVL), pp. 84–94.
SANERSANER-2019-Li00LML #android #game studies #image
Characterizing and Detecting Inefficient Image Displaying Issues in Android Apps (WL, YJ0, CX0, YL, XM, JL0), pp. 355–365.
SANERSANER-2019-MaFRWJZLS #online #virtual machine
EVM*: From Offline Detection to Online Reinforcement for Ethereum Virtual Machine (FM, YF, MR, MW, YJ0, KZ, HL, XS), pp. 554–558.
SANERSANER-2019-MuscedereHAADG #analysis #lightweight #using
Detecting Feature-Interaction Symptoms in Automotive Software using Lightweight Analysis (BJM, RH, DA, JMA, IJD, MWG), pp. 175–185.
SANERSANER-2019-ThallerLE #design pattern #representation
Feature Maps: A Comprehensible Software Representation for Design Pattern Detection (HT, LL, AE), pp. 207–217.
SANERSANER-2019-WangWZL #multi
Software Multiple-Level Change Detection Based on Two-Step MPAT Matching (TW, DW, YZ, BL), pp. 4–14.
SANERSANER-2019-XiongL #design pattern #implementation #java
Accurate Design Pattern Detection Based on Idiomatic Implementation Matching in Java Language Context (RX, BL), pp. 163–174.
SANERSANER-2019-Zhan0T #android #case study #comparative
A Comparative Study of Android Repackaged Apps Detection Techniques (XZ, TZ0, YT), pp. 321–331.
FMFM-2019-SinghPDD #kernel #static analysis
Static Analysis for Detecting High-Level Races in RTOS Kernels (AS, RP, DD, MD), pp. 337–353.
SEFMSEFM-2019-PappTB #behaviour #towards
Towards Detecting Trigger-Based Behavior in Binaries: Uncovering the Correct Environment (DP, TT, LB), pp. 491–509.
SEFMSEFM-2019-StillB #c++ #parallel #source code
Local Nontermination Detection for Parallel C++ Programs (VS, JB), pp. 373–390.
CHI-PLAYCHI-PLAY-2019-GielisVTA #case study #game studies
Age? It's in the Game: An Exploratory Study on Detection of Cognitive Aging through Card Games (KG, KV, JT, VVA), pp. 651–664.
CIKMCIKM-2019-ChenSHG #network
Attention-Residual Network with CNN for Rumor Detection (YC, JS, LH, WG), pp. 1121–1130.
CIKMCIKM-2019-CuiSW0L #named
dEFEND: A System for Explainable Fake News Detection (LC, KS, SW, DL0, HL0), pp. 2961–2964.
CIKMCIKM-2019-DongZHSL #graph #multi #network
Multiple Rumor Source Detection with Graph Convolutional Networks (MD, BZ, NQVH, HS, GL), pp. 569–578.
CIKMCIKM-2019-GiurgiuS #multi
Additive Explanations for Anomalies Detected from Multivariate Temporal Data (IG, AS), pp. 2245–2248.
CIKMCIKM-2019-GongZ00XWH #community #developer #learning #online #using
Detecting Malicious Accounts in Online Developer Communities Using Deep Learning (QG, JZ, YC0, QL0, YX, XW, PH), pp. 1251–1260.
CIKMCIKM-2019-GozuacikBBC #classification #concept
Unsupervised Concept Drift Detection with a Discriminative Classifier (ÖG, AB, HRB, FC), pp. 2365–2368.
CIKMCIKM-2019-HanMNKURNS #image #learning #using
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images (CH, KM, TN, YK, FU, LR, HN, SS), pp. 119–127.
CIKMCIKM-2019-HouFZYLWWXS #android #graph #named #robust
αCyber: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model (SH, YF, YZ, YY, JL, WW, JW, QX, FS), pp. 609–618.
CIKMCIKM-2019-HuangYX #graph #learning
System Deterioration Detection and Root Cause Learning on Time Series Graphs (HH, SY, YX), pp. 2537–2545.
CIKMCIKM-2019-HwangYKK #ambiguity #precise
Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling (WSH, JHY, JK, HK), pp. 2241–2244.
CIKMCIKM-2019-JiangWZSLL #graph #learning #representation
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning (ZJ, JW, LZ, CS, YL, XL), pp. 289–298.
CIKMCIKM-2019-LiHLDZ #named #network
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks (YL, XH, JL, MD, NZ), pp. 2233–2236.
CIKMCIKM-2019-LiQLYL #graph #network #overview
Spam Review Detection with Graph Convolutional Networks (AL, ZQ, RL, YY, DL), pp. 2703–2711.
CIKMCIKM-2019-MueenCM #metric #social
Taming Social Bots: Detection, Exploration and Measurement (AM, NC, AJM), pp. 2967–2968.
CIKMCIKM-2019-NeutatzMA #fault #learning #named
ED2: A Case for Active Learning in Error Detection (FN, MM, ZA), pp. 2249–2252.
CIKMCIKM-2019-Pasca #approximate #lightweight #wiki
Approximate Definitional Constructs as Lightweight Evidence for Detecting Classes Among Wikipedia Articles (MP), pp. 2373–2376.
CIKMCIKM-2019-ShanahanD #pipes and filters #realtime
Realtime Object Detection via Deep Learning-based Pipelines (JGS, LD), pp. 2977–2978.
CIKMCIKM-2019-ShaposhnikovBGD
Labelling for Venue Visit Detection by Matching Wi-Fi Hotspots with Businesses (DS, AAB, EG, AD), pp. 2281–2284.
CIKMCIKM-2019-SiddiqueeAM #named
SeiSMo: Semi-supervised Time Series Motif Discovery for Seismic Signal Detection (MAS, ZA, AM), pp. 99–108.
CIKMCIKM-2019-TianKA0C #adaptation #concept #health #monitoring #online
Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring (HT, NLDK, AA, YW0, FC0), pp. 2813–2821.
CIKMCIKM-2019-TrittenbachB #learning #multi
One-Class Active Learning for Outlier Detection with Multiple Subspaces (HT, KB), pp. 811–820.
CIKMCIKM-2019-YangJGZL #interactive #online
Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments (WY, WJ, WG, XZ, YL), pp. 1241–1250.
ECIRECIR-p1-2019-GhaderyMSFS #approach #independence #named
LICD: A Language-Independent Approach for Aspect Category Detection (EG, SM, MJS, HF, AS), pp. 575–589.
ECIRECIR-p1-2019-KimA #online
Unsupervised Explainable Controversy Detection from Online News (YK, JA), pp. 836–843.
ECIRECIR-p1-2019-KodeljaBF
Exploiting a More Global Context for Event Detection Through Bootstrapping (DK, RB, OF), pp. 763–770.
ECIRECIR-p2-2019-LosadaCP #internet #risk management
Early Detection of Risks on the Internet: An Exploratory Campaign (DEL, FC, JP), pp. 259–266.
ECIRECIR-p2-2019-PalodPBBG #metadata
Misleading Metadata Detection on YouTube (PP, AP, SB, SB, PG), pp. 140–147.
ECIRECIR-p2-2019-SyedIGSV #induction #learning #natural language #query
Inductive Transfer Learning for Detection of Well-Formed Natural Language Search Queries (BS, VI, MG0, MS0, VV), pp. 45–52.
ICMLICML-2019-ChungL
Weak Detection of Signal in the Spiked Wigner Model (HWC, JOL), pp. 1233–1241.
ICMLICML-2019-Huang0 #algorithm #community #correlation
Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm (KH, XF0), pp. 2859–2868.
ICMLICML-2019-NguyenLKB #multi #predict
Anomaly Detection With Multiple-Hypotheses Predictions (DTN, ZL, MK, TB), pp. 4800–4809.
ICMLICML-2019-RothKH #statistics
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples (KR, YK, TH), pp. 5498–5507.
ICMLICML-2019-TzengW #distributed #graph
Distributed, Egocentric Representations of Graphs for Detecting Critical Structures (RCT, SHW), pp. 6354–6362.
KDDKDD-2019-ChowdhurySM
Structured Noise Detection: Application on Well Test Pressure Derivative Data (FAC, SS, AM), pp. 2952–2960.
KDDKDD-2019-FauvelMFFT #machine learning #towards
Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection (KF, VM, ÉF, PF, AT), pp. 3051–3059.
KDDKDD-2019-FedoryszakFRZ #data type #realtime #social
Real-time Event Detection on Social Data Streams (MF, BF, VR, CZ), pp. 2774–2782.
KDDKDD-2019-HulsebosHBZSKDH #approach #data type #learning #named #semantics
Sherlock: A Deep Learning Approach to Semantic Data Type Detection (MH, KZH, MAB, EZ, AS, TK, ÇD, CAH), pp. 1500–1508.
KDDKDD-2019-LiHWL #approach #community #named
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection (PZL, LH, CDW, JHL), pp. 479–487.
KDDKDD-2019-OhI #learning #using
Sequential Anomaly Detection using Inverse Reinforcement Learning (MhO, GI), pp. 1480–1490.
KDDKDD-2019-PangSH #network
Deep Anomaly Detection with Deviation Networks (GP, CS, AvdH), pp. 353–362.
KDDKDD-2019-RamakrishnanSLS #e-commerce
Anomaly Detection for an E-commerce Pricing System (JR, ES, CL, MAS), pp. 1917–1926.
KDDKDD-2019-RenXWYHKXYTZ
Time-Series Anomaly Detection Service at Microsoft (HR, BX, YW, CY, CH, XK, TX, MY, JT, QZ), pp. 3009–3017.
KDDKDD-2019-ShuCW0L #named
dEFEND: Explainable Fake News Detection (KS, LC, SW, DL0, HL0), pp. 395–405.
KDDKDD-2019-SuZNLSP #multi #network #probability #robust
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network (YS, YZ, CN, RL, WS, DP), pp. 2828–2837.
KDDKDD-2019-TaoLZZWFC #game studies #multi #named #network #online
MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games (JT, JL, SZ, SZ, RW, CF, PC), pp. 2536–2546.
KDDKDD-2019-TariqLSLJCW #multi #probability #using
Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA (ST, SL, YS, MSL, OJ, DC, SSW), pp. 2123–2133.
KDDKDD-2019-WagstaffDDACCDP
Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft (KLW, GD, AD, SA, SC, MC, ID, CAP), pp. 2191–2201.
KDDKDD-2019-XiaLGLCS #case study #mobile #network #privacy #social
Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study (ZX, CL, NZG, QL0, YC0, DS), pp. 2012–2022.
KDDKDD-2019-YelundurCM #composition #multi #overview
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition (ARY, VC, BM), pp. 2134–2144.
KDDKDD-2019-YoonHSF #approach #graph #performance
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach (MY, BH, KS, CF), pp. 647–657.
KDDKDD-2019-ZafaraniZSL #problem #research
Fake News Research: Theories, Detection Strategies, and Open Problems (RZ, XZ, KS, HL0), pp. 3207–3208.
KDDKDD-2019-ZhaoWSNHJSNBRPL #power management #smarttech
Raise to Speak: An Accurate, Low-power Detector for Activating Voice Assistants on Smartwatches (SZ, BW, SS, HN, RH, MJ, KS, BN, MB, SR, TP, KL, CG), pp. 2736–2744.
KDDKDD-2019-ZheSX #community #network #scalability
Community Detection on Large Complex Attribute Network (CZ, AS, XX), pp. 2041–2049.
OOPSLAOOPSLA-2019-GencRXB #bound #concurrent #predict
Dependence-aware, unbounded sound predictive race detection (KG, JR, YX, MDB), p. 30.
OOPSLAOOPSLA-2019-LiWNN #debugging #learning #network #representation
Improving bug detection via context-based code representation learning and attention-based neural networks (YL, SW0, TNN, SVN), p. 30.
OOPSLAOOPSLA-2019-SongLO #automation #fault #functional #logic #programming #scalability
Automatic and scalable detection of logical errors in functional programming assignments (DS, ML, HO), p. 30.
OOPSLAOOPSLA-2019-WangZS #contract #debugging #nondeterminism
Detecting nondeterministic payment bugs in Ethereum smart contracts (SW, CZ, ZS), p. 29.
PLDIPLDI-2019-KhanZPMK #hybrid #named
Huron: hybrid false sharing detection and repair (TAK, YZ, GP, BM, BK), pp. 453–468.
POPLPOPL-2019-GorogiannisOS #theorem
A true positives theorem for a static race detector (NG, PWO, IS), p. 29.
ASEASE-2019-FengYLBWTSYXPXH #named #off the shelf #open source #reuse
B2SFinder: Detecting Open-Source Software Reuse in COTS Software (MF, ZY, FL, GB, SW, QT, HS, CY, JX, AP, JX, WH), pp. 1038–1049.
ASEASE-2019-HortonP #named #performance #python
V2: Fast Detection of Configuration Drift in Python (EH, CP), pp. 477–488.
ASEASE-2019-JiaLYLWLL #debugging #fault #specification
Detecting Error-Handling Bugs without Error Specification Input (ZJ, SL, TY, XL, JW, XL, YL), pp. 213–225.
ASEASE-2019-Kellogg #image
Compile-Time Detection of Machine Image Sniping (MK), pp. 1256–1258.
ASEASE-2019-Laguna #exception #float #gpu #named
FPChecker: Detecting Floating-Point Exceptions in GPU Applications (IL), pp. 1126–1129.
ASEASE-2019-LiuW0B0X #android #named
DaPanda: Detecting Aggressive Push Notifications in Android Apps (TL, HW, LL0, GB, YG0, GX), pp. 66–78.
ASEASE-2019-LiW0ZCM #clustering #effectiveness #fault #named #spreadsheet
SGUARD: A Feature-Based Clustering Tool for Effective Spreadsheet Defect Detection (DL, HW, CX0, RZ, SCC, XM), pp. 1142–1145.
ASEASE-2019-MengZYL0Y #concurrent #effectiveness #named
CONVUL: An Effective Tool for Detecting Concurrency Vulnerabilities (RM, BZ, HY, HL, YC0, ZY), pp. 1154–1157.
ASEASE-2019-NafiKRRS #api #clone detection #documentation #named #using
CLCDSA: Cross Language Code Clone Detection using Syntactical Features and API Documentation (KWN, TSK, BR, CKR, KAS), pp. 1026–1037.
ASEASE-2019-PiskachevDJB #automation #named
SWAN_ASSIST: Semi-Automated Detection of Code-Specific, Security-Relevant Methods (GP, LNQD, OJ, EB), pp. 1094–1097.
ASEASE-2019-Xiao #android #approach
An Image-Inspired and CNN-Based Android Malware Detection Approach (XX), pp. 1259–1261.
ASEASE-2019-ZhengLZLZD #feedback #named #online #realtime #scalability
iFeedback: Exploiting User Feedback for Real-Time Issue Detection in Large-Scale Online Service Systems (WZ, HL, YZ, JL, HZ, YD), pp. 352–363.
ESEC-FSEESEC-FSE-2019-AwadhutkarSHK #algorithm #complexity #named
DISCOVER: detecting algorithmic complexity vulnerabilities (PA, GRS, BH, SK), pp. 1129–1133.
ESEC-FSEESEC-FSE-2019-BiagiolaSMRT #dependence #web
Web test dependency detection (MB, AS, AM, FR, PT), pp. 154–164.
ESEC-FSEESEC-FSE-2019-CaiZMYHSL #concurrent #memory management
Detecting concurrency memory corruption vulnerabilities (YC, BZ, RM, HY, LH, PS, BL0), pp. 706–717.
ESEC-FSEESEC-FSE-2019-FuRMSYJLS #named #testing
EVMFuzzer: detect EVM vulnerabilities via fuzz testing (YF, MR, FM, HS, XY, YJ0, HL, XS), pp. 1110–1114.
ESEC-FSEESEC-FSE-2019-He19a #comprehension #debugging #fault #performance
Tuning backfired? not (always) your fault: understanding and detecting configuration-related performance bugs (HH), pp. 1229–1231.
ESEC-FSEESEC-FSE-2019-JiaLYLW #automation
Automatically detecting missing cleanup for ungraceful exits (ZJ, SL, TY, XL, JW), pp. 751–762.
ESEC-FSEESEC-FSE-2019-KimHK #composition #debugging #effectiveness #refinement #summary #testing
Target-driven compositional concolic testing with function summary refinement for effective bug detection (YK, SH, MK), pp. 16–26.
ESEC-FSEESEC-FSE-2019-LiXCWZXWL #adaptation #effectiveness #fuzzing #named
Cerebro: context-aware adaptive fuzzing for effective vulnerability detection (YL, YX, HC, XW, CZ, XX, HW, YL0), pp. 533–544.
ESEC-FSEESEC-FSE-2019-MordahlOKWG #debugging #empirical #tool support #variability
An empirical study of real-world variability bugs detected by variability-oblivious tools (AM, JO, UK, SW, PG), pp. 50–61.
ESEC-FSEESEC-FSE-2019-SongZH #android #named
ServDroid: detecting service usage inefficiencies in Android applications (WS0, JZ, JH0), pp. 362–373.
ESEC-FSEESEC-FSE-2019-Sonnekalb #source code
Machine-learning supported vulnerability detection in source code (TS), pp. 1180–1183.
ESEC-FSEESEC-FSE-2019-StallenbergP #injection #named #search-based #web #xml
JCOMIX: a search-based tool to detect XML injection vulnerabilities in web applications (DMS, AP), pp. 1090–1094.
ESEC-FSEESEC-FSE-2019-ZhangXLQZDXYCLC #robust
Robust log-based anomaly detection on unstable log data (XZ, YX, QL, BQ, HZ0, YD, CX, XY, QC, ZL, JC0, XH, RY, JGL, MC, FS, DZ), pp. 807–817.
ICSE-2019-AryaWGC #analysis #open source
Analysis and detection of information types of open source software issue discussions (DA, WW, JLCG, JC), pp. 454–464.
ICSE-2019-ChangDGW0H
Detecting atomicity violations for event-driven Node.js applications (XC, WD, YG, JW, JW0, TH0), pp. 631–642.
ICSE-2019-FanWS0ZZ #memory management #named #scalability
Smoke: scalable path-sensitive memory leak detection for millions of lines of code (GF, RW, QS, XX0, JZ, CZ), pp. 72–82.
ICSE-2019-GhorbaniGM #architecture #consistency #java #nondeterminism
Detection and repair of architectural inconsistencies in Java (NG, JG, SM), pp. 560–571.
ICSE-2019-LiC0S #named #smell
Dlfinder: characterizing and detecting duplicate logging code smells (ZL, TH(C, JY0, WS), pp. 152–163.
ICSE-2019-LickerR
Detecting incorrect build rules (NL, AR), pp. 1234–1244.
ICSE-2019-PhamLQT #debugging #learning #library #locality #named #validation
CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries (HVP, TL, WQ, LT0), pp. 1027–1038.
ICSE-2019-SainiFLY0SBL #automation #clone detection #precise #towards
Towards automating precision studies of clone detectors (VS, FF, YL, DY, PM0, HS, PB, CVL), pp. 49–59.
ICSE-2019-WangD00Z #mutation testing #network #testing
Adversarial sample detection for deep neural network through model mutation testing (JW, GD, JS0, XW0, PZ), pp. 1245–1256.
ICSE-2019-WeiLC #android #correlation #learning #named
Pivot: learning API-device correlations to facilitate Android compatibility issue detection (LW, YL, SCC), pp. 878–888.
SLESLE-2019-KhelladiKE #consistency #nondeterminism
Detecting and exploring side effects when repairing model inconsistencies (DEK, RK, AE), pp. 113–126.
ASPLOSASPLOS-2019-BaiLTH #automation #fault #kernel #linux #named
DCNS: Automated Detection Of Conservative Non-Sleep Defects in the Linux Kernel (JJB, JL, WT, SMH0), pp. 287–299.
ASPLOSASPLOS-2019-OsterlundKOBBG #execution #kernel #multi #named
kMVX: Detecting Kernel Information Leaks with Multi-variant Execution (, KK, PO, AB, HB, CG), pp. 559–572.
CASECASE-2019-0003L
Supervisory Control for Delayed Detectability of Discrete Event Systems (XY0, SL), pp. 480–485.
CASECASE-2019-AdamidesMKS #collaboration #proximity
A Time-of-Flight On-Robot Proximity Sensing System to Achieve Human Detection for Collaborative Robots (OAA, ASM, SK, FS), pp. 1230–1236.
CASECASE-2019-AhmedG0 #approach #generative #named #online
O-LoMST: An Online Anomaly Detection Approach And Its Application In A Hydropower Generation Plant (IA, TG, YD0), pp. 762–767.
CASECASE-2019-AzefackPAGCBX #approach #behaviour #smarttech
An Approach for Behavioral Drift Detection in a Smart Home (CA, RP, VA, GG, CMC, RB, XX), pp. 727–732.
CASECASE-2019-BaltaTB #framework #modelling #monitoring #performance
A Digital Twin Framework for Performance Monitoring and Anomaly Detection in Fused Deposition Modeling (ECB, DMT, KB), pp. 823–829.
CASECASE-2019-ChangLH #coordination #network #realtime #using
Real-Time Object Coordinate Detection and Manipulator Control Using Rigidly Trained Convolutional Neural Networks (YMC, CHGL, YFH), pp. 1347–1352.
CASECASE-2019-ChengJM #monitoring #process #robust
Data-Efficient Process Monitoring and Failure Detection for Robust Robotic Screwdriving (XC, ZJ, MTM), pp. 1705–1711.
CASECASE-2019-CrowleyZAS #predict
Set-Based Predictive Control for Collision Detection and Evasion (JC, YZ, BA, RGS), pp. 541–546.
CASECASE-2019-HenniSLR #framework
Improved dynamic object detection within evidential grids framework (AHH, AS, RL, NR), pp. 1080–1086.
CASECASE-2019-HeWDZB #adaptation #fault
An Adaptive Interval Forecast CNN Model for Fault Detection Method (JH, JW, LD, JZ, JB), pp. 602–607.
CASECASE-2019-KazmiNVRC #learning #recognition #using
Vehicle tire (tyre) detection and text recognition using deep learning (WK, IN, GV, PR, AC), pp. 1074–1079.
CASECASE-2019-LaiL #learning #using
Video-Based Windshield Rain Detection and Wiper Control Using Holistic-View Deep Learning (CCL, CHGL), pp. 1060–1065.
CASECASE-2019-LiGZYWSZ #fault #using
Detection model of invisible weld defects using magneto-optical imaging induced by rotating magnetic field (YL, XG, YZ, DY, CW, YS, NZ), pp. 1–5.
CASECASE-2019-Morales-ValdezL
Damage detection of building structure based on vibration data and hysteretic model (JMV, MAL, WY), pp. 608–613.
CASECASE-2019-NiuLNLW #fault #generative #named #network #using
DefectGAN: Weakly-Supervised Defect Detection using Generative Adversarial Network (SN, HL, TN, BL, XW), pp. 127–132.
CASECASE-2019-PengZZZ #analysis #component #fault #kernel #markov #multi #process
Hidden Markov Model Combined with Kernel Principal Component Analysis for Nonlinear Multimode Process Fault Detection (PP, JZ, YZ, HZ), pp. 1586–1591.
CASECASE-2019-PerdomoPMMKP #2d #named #performance
c-M2DP: A Fast Point Cloud Descriptor with Color Information to Perform Loop Closure Detection (LP, DP, MM, RM, MLK, EP), pp. 1145–1150.
CASECASE-2019-PotluriD #injection #learning #performance #process
Deep Learning based Efficient Anomaly Detection for Securing Process Control Systems against Injection Attacks (SP, CD), pp. 854–860.
CASECASE-2019-SunLY #network #using
Railway Joint Detection Using Deep Convolutional Neural Networks (YS, YL, CY), pp. 235–240.
CASECASE-2019-TaheritanjaniSB #automation #process
Automatic Damage Detection of Fasteners in Overhaul Processes (ST, RS, BB), pp. 1289–1295.
CASECASE-2019-WuMDXTIC #2d #automation #estimation #multi
Multi-Mosquito Object Detection and 2D Pose Estimation for Automation of PfSPZ Malaria Vaccine Production (HW, JM, TD, MX, RHT, II, GSC), pp. 411–417.
CASECASE-2019-XiaoH0HZ #fault #using
Surface Defect Detection using Hierarchical Features (LX, TH, BW0, YH, JZ), pp. 1592–1596.
CASECASE-2019-XuGWBCS #image
U-Net with optimal thresholding for small blob detection in medical images (YX, FG0, TW, KMB, JRC, SS), pp. 1761–1767.
CASECASE-2019-YanYS #fault #monitoring #process
Image-based Process Monitoring via Adversarial Autoencoder with Applications to Rolling Defect Detection (HY, HMY, NS), pp. 311–316.
CASECASE-2019-ZhangCZXL #fault #learning
Weld Defect Detection Based on Deep Learning Method (HZ, ZC, CZ, JX, XL), pp. 1574–1579.
CASECASE-2019-Zhao0Z #fault
Detecting Intermittent Faults with Moving Average Techniques (YZ, XH0, DZ), pp. 1712–1717.
CGOCGO-2019-LiuSWDL #named
CSOD: Context-Sensitive Overflow Detection (HL, SS, XW, LD, TL), pp. 50–60.
FASEFASE-2019-NicholsEH #clone detection
Structural and Nominal Cross-Language Clone Detection (LN, ME, BH), pp. 247–263.
ICSTICST-2019-LamOSM0 #framework #named #testing
iDFlakies: A Framework for Detecting and Partially Classifying Flaky Tests (WL, RO, AS, DM, TX0), pp. 312–322.
ICSTICST-2019-MonniPP
An RBM Anomaly Detector for the Cloud (CM, MP, GP), pp. 148–159.
ICSTICST-2019-WuLSCX #analysis #android #order #precise
Precise Static Happens-Before Analysis for Detecting UAF Order Violations in Android (DW, JL0, YS, SC0, JX), pp. 276–287.
ICTSSICTSS-2019-VinarskiiLKYZ #approach #model checking
A Model Checking Based Approach for Detecting SDN Races (EV, JL, NK, NY, DZ), pp. 194–211.
JCDLJCDL-2018-MeuschkeGSBKG #adaptation #approach
An Adaptive Image-based Plagiarism Detection Approach (NM, CG, DS, CB, DAK, BG), pp. 131–140.
EDMEDM-2018-BotelhoBOH #using
Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors (AFB, RSB, JO, NTH).
ICPCICPC-2018-GaoMSSZMMDDZC #c #c++ #debugging #named
CoBOT: static C/C++ bug detection in the presence of incomplete code (QG, SM, SS, YS, GZ, LM, XM, FD, XD, SZ, XC), pp. 385–388.
ICPCICPC-2018-MaL0T0L #android #named
LESdroid: a tool for detecting exported service leaks of Android applications (JM0, SL, YJ0, XT, CX0, JL0), pp. 244–254.
ICSMEICSME-2018-IshioMSI #distance #normalisation #using
Cloned Buggy Code Detection in Practice Using Normalized Compression Distance (TI, NM, KS, KI), pp. 591–594.
ICSMEICSME-2018-JansenHT #case study #energy #evolution #network #predict #spreadsheet
Detecting and Predicting Evolution in Spreadsheets - A Case Study in an Energy Network Company (BJ, FH, ET), pp. 645–654.
ICSMEICSME-2018-KissM #design #towards
Towards Feature Envy Design Flaw Detection at Block Level (ÁK, PFM), pp. 544–548.
ICSMEICSME-2018-PalombaZL #automation #information retrieval #smell #using
Automatic Test Smell Detection Using Information Retrieval Techniques (FP, AZ, ADL), pp. 311–322.
ICSMEICSME-2018-YueSMT00 #android #named #runtime #user interface
RegionDroid: A Tool for Detecting Android Application Repackaging Based on Runtime UI Region Features (SY, QS, JM0, XT, CX0, JL0), pp. 323–333.
MSRMSR-2018-CiborowskaKD #behaviour #developer #reuse #using #web
Detecting and characterizing developer behavior following opportunistic reuse of code snippets from the web (AC, NAK, KD), pp. 94–97.
MSRMSR-2018-NayrollesH #clone detection #fault #industrial #metric #named #scalability
CLEVER: combining code metrics with clone detection for just-in-time fault prevention and resolution in large industrial projects (MN, AHL), pp. 153–164.
MSRMSR-2018-Soto-ValeroBB #analysis #behaviour #debugging #process
Detection and analysis of behavioral T-patterns in debugging activities (CSV, JB, BB), pp. 110–113.
SANERSANER-2018-BritoXHV18a #api #named
APIDiff: Detecting API breaking changes (AB, LX, ACH, MTV), pp. 507–511.
SANERSANER-2018-FakhouryANKA #learning #question #smell
Keep it simple: Is deep learning good for linguistic smell detection? (SF, VA, CN, FK, GA), pp. 602–611.
SANERSANER-2018-LaverdiereM #evolution
Detection of protection-impacting changes during software evolution (MAL, EM), pp. 434–444.
SANERSANER-2018-NucciPTSL #machine learning #question #smell #using
Detecting code smells using machine learning techniques: Are we there yet? (DDN, FP, DAT, AS, ADL), pp. 612–621.
SANERSANER-2018-RoyC #benchmark #clone detection #metric
Benchmarks for software clone detection: A ten-year retrospective (CKR, JRC), pp. 26–37.
SANERSANER-2018-SantosCPHA #fault #modelling #syntax #using
Syntax and sensibility: Using language models to detect and correct syntax errors (EAS, JCC, DP, AH, JNA), pp. 311–322.
SANERSANER-2018-SilvaPM #stack overflow
Duplicate question detection in stack overflow: A reproducibility study (RFGdS, KVRP, MdAM), pp. 572–581.
SANERSANER-2018-VislavskiRCB #clone detection #named
LICCA: A tool for cross-language clone detection (TV, GR, NC, ZB), pp. 512–516.
SANERSANER-2018-XuWDYG00 #spreadsheet
Detecting faulty empty cells in spreadsheets (LX, SW, WD, BY, CG, JW0, TH0), pp. 423–433.
SANERSANER-2018-ZhangDZHYY0 #android #library #precise
Detecting third-party libraries in Android applications with high precision and recall (YZ0, JD, XZ, SH, ZY, MY0, HC0), pp. 141–152.
SCAMSCAM-2018-IslamIMRRS #research #transitive #using
[Research Paper] Detecting Evolutionary Coupling Using Transitive Association Rules (MAI, MMI, MM, BR, CKR, KAS), pp. 113–122.
SCAMSCAM-2018-KoschkeSB #clone detection
[Engineering Paper] Built-in Clone Detection in Meta Languages (RK, UBS, BJB), pp. 165–170.
SCAMSCAM-2018-NafiRRS #api #documentation #research #similarity #using
[Research Paper] CroLSim: Cross Language Software Similarity Detector Using API Documentation (KWN, BR, CKR, KAS), pp. 139–148.
SCAMSCAM-2018-SakuraiAG #concurrent #parallel #research
[Research Paper] POI: Skew-Aware Parallel Race Detection (YS, YA, KG), pp. 215–224.
SCAMSCAM-2018-SasBF #automation #java #library #research
[Research Paper] Automatic Detection of Sources and Sinks in Arbitrary Java Libraries (DS, MB, FAF), pp. 103–112.
FMFM-2018-AzadbakhtBV #concurrent
Deadlock Detection for Actor-Based Coroutines (KA, FSdB, EPdV), pp. 39–54.
FDGFDG-2018-RingerN #game studies #multi #video
Deep unsupervised multi-view detection of video game stream highlights (CR, MAN), p. 6.
CIKMCIKM-2018-AllerhandYYA #interactive #question
Detecting Parkinson's Disease from Interactions with a Search Engine: Is Expert Knowledge Sufficient? (LIA, BY, EYT, DA), pp. 1539–1542.
CIKMCIKM-2018-CaoCCTLL #assessment #behaviour #community #enterprise #network
Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks (CC, ZC, JC, LAT, CL, ZL), pp. 1977–1985.
CIKMCIKM-2018-ChenXM #framework #social #social media
An Encoder-Memory-Decoder Framework for Sub-Event Detection in Social Media (GC, NX, WM), pp. 1575–1578.
CIKMCIKM-2018-DeutchGM #privacy #using
Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX (DD, YG, TM), pp. 1935–1938.
CIKMCIKM-2018-FanSW #network
Abnormal Event Detection via Heterogeneous Information Network Embedding (SF, CS, XW0), pp. 1483–1486.
CIKMCIKM-2018-GuoCZGL #network #social
Rumor Detection with Hierarchical Social Attention Network (HG, JC, YZ, JG, JL), pp. 943–951.
CIKMCIKM-2018-HoangVN #benchmark #dataset #metric #named #topic
W2E: A Worldwide-Event Benchmark Dataset for Topic Detection and Tracking (TAH, KDV, WN), pp. 1847–1850.
CIKMCIKM-2018-HooiAEPJPF #graph #locality #named #online
ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph (BH, LA, DE, AP, MJ, LTP, CF), pp. 507–516.
CIKMCIKM-2018-KuoLK #correlation #metric
Detecting Outliers in Data with Correlated Measures (YHK, ZL, DK), pp. 287–296.
CIKMCIKM-2018-LinCCT0CL #collaboration #ranking
Collaborative Alert Ranking for Anomaly Detection (YL, ZC, CC, LAT, KZ0, WC, ZL), pp. 1987–1995.
CIKMCIKM-2018-LinmansVK #robust #scalability #semantics #using #web
Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions (JL, BvdV, EK), pp. 1647–1650.
CIKMCIKM-2018-LiuCYZLS #graph #network
Heterogeneous Graph Neural Networks for Malicious Account Detection (ZL, CC, XY, JZ, XL, LS), pp. 2077–2085.
CIKMCIKM-2018-ShaabaniM #dependence #performance
Improving the Efficiency of Inclusion Dependency Detection (NS, CM), pp. 207–216.
CIKMCIKM-2018-TangTDJG #on the #realtime
On Real-time Detecting Passenger Flow Anomalies (BT, HT, XD, BJ, TG), pp. 1053–1062.
CIKMCIKM-2018-WangSZWL #multi
Multi-View Group Anomaly Detection (HW, PS, MZ, HW, GL), pp. 277–286.
CIKMCIKM-2018-WuWL18a #collaboration #learning #microblog #social
Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging (FW, CW, JL), pp. 1791–1794.
CIKMCIKM-2018-XuWCWM #category theory #set
Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data (HX, YW, LC, YW, XM), pp. 17–26.
CIKMCIKM-2018-YeCZ #community #matrix
Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection (FY, CC, ZZ), pp. 1393–1402.
CIKMCIKM-2018-Zhang0T
Smooth q-Gram, and Its Applications to Detection of Overlaps among Long, Error-Prone Sequencing Reads (HZ, QZ0, HT), pp. 267–276.
CIKMCIKM-2018-ZhongS0 #automation #multi #privacy #towards
Toward Automated Multiparty Privacy Conflict Detection (HZ, ACS, DJM0), pp. 1811–1814.
ECIRECIR-2018-0001TJ
To Cite, or Not to Cite? Detecting Citation Contexts in Text (MF0, AT, AJ), pp. 598–603.
ECIRECIR-2018-AgrawalA #learning #multi #platform #social #social media
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms (SA, AA), pp. 141–153.
ECIRECIR-2018-DeySK #topic #twitter #using
Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention (KD, RS, SK), pp. 529–536.
ECIRECIR-2018-FaniBZBA #streaming
Stopword Detection for Streaming Content (HF, MB, FZ, EB, FAO), pp. 737–743.
ECIRECIR-2018-Martinez-Castano #approach #modelling #realtime #social #social media
A Micromodule Approach for Building Real-Time Systems with Python-Based Models: Application to Early Risk Detection of Depression on Social Media (RMC, JCP, DEL, FC), pp. 801–805.
ECIRECIR-2018-MeladianosXNV #approach #optimisation #summary #twitter
An Optimization Approach for Sub-event Detection and Summarization in Twitter (PM, CX, GN, MV), pp. 481–493.
ECIRECIR-2018-StihecZP #approach #hybrid #semantics
Simplified Hybrid Approach for Detection of Semantic Orientations in Economic Texts (JS, MZ, SP), pp. 692–698.
ECIRECIR-2018-TrikhaZB #mining #topic
Topic-Association Mining for User Interest Detection (AKT, FZ, EB), pp. 665–671.
ICMLICML-2018-BoracchiCCM #data type #multi #named
QuantTree: Histograms for Change Detection in Multivariate Data Streams (GB, DC, CC, DM), pp. 638–647.
ICMLICML-2018-JanzingS #linear #modelling #multi
Detecting non-causal artifacts in multivariate linear regression models (DJ, BS), pp. 2250–2258.
ICMLICML-2018-KnoblauchD #online
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection (JK, TD), pp. 2723–2732.
ICMLICML-2018-LiptonWS #black box #predict
Detecting and Correcting for Label Shift with Black Box Predictors (ZCL, YXW, AJS), pp. 3128–3136.
ICMLICML-2018-LiuGDFH
Open Category Detection with PAC Guarantees (SL, RG, TGD, AF, DH), pp. 3175–3184.
ICMLICML-2018-MazharRFH #clustering
Bayesian Model Selection for Change Point Detection and Clustering (OM, CRR, CF, MRH), pp. 3430–3439.
ICPRICPR-2018-AbdeldayemB #automation #using
Automatically Detecting Arrhythmia-related Irregular Patterns using the Temporal and Spectro-Temporal Textures of ECG Signals (SSA, TB), pp. 2301–2307.
ICPRICPR-2018-AbdeltawabSSMEG #3d
A New 3D CNN-based CAD System for Early Detection of Acute Renal Transplant Rejection (HA, MS, AS0, SM, MEB, MG, YA, MAEG, ACD, MTEM, AEB), pp. 3898–3903.
ICPRICPR-2018-AlshawaqfehKS #robust
Robust Fussed Lasso Model for Recurrent Copy Number Variation Detection (MA, AAK, ES), pp. 3772–3777.
ICPRICPR-2018-AnnadaniJ #adaptation #approach #image
Augment and Adapt: A Simple Approach to Image Tampering Detection (YA, CVJ), pp. 2983–2988.
ICPRICPR-2018-ArtaudSDOD #contest #exclamation
Find it! Fraud Detection Contest Report (CA, NS, AD, JMO, VPD), pp. 13–18.
ICPRICPR-2018-BallottaBVC #image #network
Fully Convolutional Network for Head Detection with Depth Images (DB, GB, RV, RC), pp. 752–757.
ICPRICPR-2018-CaoGWXW #learning
Gaze-Aided Eye Detection via Appearance Learning (LC, CG, KW, GX, FYW0), pp. 1965–1970.
ICPRICPR-2018-CaoLL0JJC #image #learning
Deep Learning Based Bioresorbable Vascular Scaffolds Detection in IVOCT Images (YC, YL, JL, RZ0, QJ, JJ, YC), pp. 3778–3783.
ICPRICPR-2018-CaoLZSLS #named #network #performance
ThinNet: An Efficient Convolutional Neural Network for Object Detection (SC, YL, CZ, QSS, PL, SS), pp. 836–841.
ICPRICPR-2018-ChenHZLQ #analysis #multi #video
Video Salient Object Detection via Multiple Time-scale Analysis (YC, LH, WZ, XL, GQ), pp. 2184–2189.
ICPRICPR-2018-ChenLT #algorithm #approximate #memory management
An Approximate Bayesian Long Short- Term Memory Algorithm for Outlier Detection (CC, XL, GT), pp. 201–206.
ICPRICPR-2018-DahlDTG
Layered Surface Detection for Virtual Unrolling (VAD, ABD, CHT, CG), pp. 3074–3080.
ICPRICPR-2018-DaiHGX0GQ #multi #network #segmentation
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection (YD, ZH, YG, YX, KC0, JG, WQ), pp. 3604–3609.
ICPRICPR-2018-DehzangiBI #multi #process #using
Activity Detection using Fusion of Multi-Pressure Sensors in Insoles (OD, BAB, OI), pp. 3315–3321.
ICPRICPR-2018-DehzangiT #network #representation #using
Driver Distraction Detection using MEL Cepstrum Representation of Galvanic Skin Responses and Convolutional Neural Networks (OD, MT), pp. 1481–1486.
ICPRICPR-2018-DengLLZL #composition #rank
Low-Rank and Sparse Decomposition on Contrast Map for Small Infrared Target Detection (XD, WL0, LL, WZ, XL), pp. 2682–2687.
ICPRICPR-2018-DingLZ #framework
A Selective Tracking and Detection Framework with Target Enhanced Feature (XD, LL, XZ), pp. 1924–1928.
ICPRICPR-2018-DingZXBBLDPZ #contest #image
ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18) (JD, ZZ, GSX, XB, SJB, JL, MD, MP, LZ), pp. 1–6.
ICPRICPR-2018-FengHYL #segmentation
Scene Text Detection with Recurrent Instance Segmentation (WF, WH, FY, CLL), pp. 2227–2232.
ICPRICPR-2018-FuGA #learning #scalability
Simultaneous Context Feature Learning and Hashing for Large Scale Loop Closure Detection (ZF, YG, WA), pp. 1689–1694.
ICPRICPR-2018-FuWZ #image
Context-Aware and Depthwise-based Detection on Orbit for Remote Sensing Image (YF, FW, JZ), pp. 1725–1730.
ICPRICPR-2018-GalteriBSB #algorithm #video
Video Compression for Object Detection Algorithms (LG, MB, LS, ADB), pp. 3007–3012.
ICPRICPR-2018-GuoDGB #multi #named
MSFD: Multi-Scale Receptive Field Face Detector (QG, YD, YG, HB), pp. 1869–1874.
ICPRICPR-2018-GuptaJAMM #video
Pentuplet Loss for Simultaneous Shots and Critical Points Detection in a Video (NG, AJ, PA, SM, SM), pp. 2392–2397.
ICPRICPR-2018-JiangZWYLWFL
R2 CNN: Rotational Region CNN for Arbitrarily-Oriented Scene Text Detection (YJ, XZ, XW, SY, WL, HW, PF, ZL), pp. 3610–3615.
ICPRICPR-2018-JinZWJ #behaviour #clustering #representation
Sparse Representation and Weighted Clustering Based Abnormal Behavior Detection (DJ, SZ, SW, XYJ), pp. 1574–1579.
ICPRICPR-2018-KataokaOIS #image
Occlusion Handling Human Detection with Refocused Images (HK, SO, KI, YS), pp. 1701–1706.
ICPRICPR-2018-LiaoZWN #named #network #recognition
Uniface: A Unified Network for Face Detection and Recognition (ZL, PZ, QW, BN), pp. 3531–3536.
ICPRICPR-2018-LiCZC #network
Mammographic mass detection based on convolution neural network (YL, HC, LZ, LC), pp. 3850–3855.
ICPRICPR-2018-LiW18a #semantics #using #visual notation
Visual Relationship Detection Using Joint Visual-Semantic Embedding (BL, YW0), pp. 3291–3296.
ICPRICPR-2018-LiYL #clustering #documentation #image #predict
Page Object Detection from PDF Document Images by Deep Structured Prediction and Supervised Clustering (XL, FY, CLL), pp. 3627–3632.
ICPRICPR-2018-LuLLZZ #fuzzy
Botnet Detection based on Fuzzy Association Rules (JL, FL, QHL, MZ, XZ), pp. 578–584.
ICPRICPR-2018-LyuYCZZ #classification #learning
Learning Fixation Point Strategy for Object Detection and Classification (JL0, ZY, DC, YZ, HZ), pp. 2081–2086.
ICPRICPR-2018-MaSLGX #image #novel
A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images (MM, YS, WL, YG0, JX), pp. 3892–3897.
ICPRICPR-2018-MaWWW #multi #named #network #performance
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection (WM, YW, ZW, GW), pp. 2510–2515.
ICPRICPR-2018-MeiJSH #dependence #multi
Region and Temporal Dependency Fusion for Multi-label Action Unit Detection (CM, FJ, RS, QH), pp. 848–853.
ICPRICPR-2018-MingCLVB #interactive #liveness #named #network #verification
FaceLiveNet: End-to-End Networks Combining Face Verification with Interactive Facial Expression-Based Liveness Detection (ZM, JC, MML, MV, JCB), pp. 3507–3512.
ICPRICPR-2018-MohantyDG #performance #using
An Efficient System for Hazy Scene Text Detection using a Deep CNN and Patch-NMS (SM, TD, HPG), pp. 2588–2593.
ICPRICPR-2018-MohantyDG18a #network #robust
Robust Scene Text Detection with Deep Feature Pyramid Network and CNN based NMS Model (SM, TD, HPG), pp. 3741–3746.
ICPRICPR-2018-MoTWW #approach #performance
An Efficient Approach for Polyps Detection in Endoscopic Videos Based on Faster R-CNN (XM, KT, QW, GW), pp. 3929–3934.
ICPRICPR-2018-MustaniemiKSMH #metric #performance #using
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements (JM, JK, SS, JM, JH), pp. 3068–3073.
ICPRICPR-2018-NabilIMSQS #network #random
Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters (MN, MI0, MMEAM, MS, KAQ, ES), pp. 740–745.
ICPRICPR-2018-NadeemHS #algorithm #automation #image #segmentation #using
An automated airway segmentation algorithm for CT images using topological leakage detection and volume freezing (SAN, EAH, PKS), pp. 1181–1186.
ICPRICPR-2018-PengLMSL #image #learning #sequence #video
Driving Maneuver Detection via Sequence Learning from Vehicle Signals and Video Images (XP, RL, YLM, SS, YL), pp. 1265–1270.
ICPRICPR-2018-PengSCCXJ #architecture #multi #using
Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture (DP, ZS, ZC, ZC, LX, LJ), pp. 2528–2533.
ICPRICPR-2018-RaghavendraVRGB #multi #recognition
Detecting Disguise Attacks on Multi-spectral Face Recognition Through Spectral Signatures (RR, NV, KBR, RSG, CB), pp. 3371–3377.
ICPRICPR-2018-RazinkovSM #algorithm #named
ALFA: Agglomerative Late Fusion Algorithm for Object Detection (ER, IS, JM), pp. 2594–2599.
ICPRICPR-2018-ShengCWL #image #multi #ranking
Weakly Supervised Vehicle Detection in Satellite Images via Multiple Instance Ranking (YS, LC, CW0, JL), pp. 2765–2770.
ICPRICPR-2018-ShevchenkoEK
Fish Detection from Low Visibility Underwater Videos (VS, TE, AK), pp. 1971–1976.
ICPRICPR-2018-SongCHSC #refinement #semantics
Scene Text Detection via Deep Semantic Feature Fusion and Attention-based Refinement (YS, YC, HH, SS, XC), pp. 3747–3752.
ICPRICPR-2018-SuiZYC #framework #learning #novel #recognition
A Novel Integrated Framework for Learning both Text Detection and Recognition (WS, QZ, JY, WC), pp. 2233–2238.
ICPRICPR-2018-Sun0L #image #multimodal
Multimodal Face Spoofing Detection via RGB-D Images (XS0, LH0, CL), pp. 2221–2226.
ICPRICPR-2018-SunZWJ #behaviour #learning
Weak Supervised Learning Based Abnormal Behavior Detection (XS, SZ, SW, XYJ), pp. 1580–1585.
ICPRICPR-2018-TlustyAB #clustering #estimation
Unsupervised clustering of mammograms for outlier detection and breast density estimation (TT, GA, RBA), pp. 3808–3813.
ICPRICPR-2018-TuggenerESPS #classification #dataset #segmentation
DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects (LT, IE, JS, MP, TS), pp. 3704–3709.
ICPRICPR-2018-WangF #using
Saliency Detection using Iterative Dynamic Guided Filtering (CW, YF), pp. 3396–3401.
ICPRICPR-2018-WangLLL #multi #network
Anchor Free Network for Multi-Scale Face Detection (CW, ZL, SL, SL), pp. 1554–1559.
ICPRICPR-2018-WangWLW0 #identification
Temporal Action Detection by Joint Identification-Verification (WW, YW, HL, SW, JC0), pp. 2026–2031.
ICPRICPR-2018-WangXLTXX #multi #network
Multi-scale Fusion with Context-aware Network for Object Detection (HW, JX, LL, YT, DX, SX), pp. 2486–2491.
ICPRICPR-2018-WangXZ #encoding
Global Context Encoding for Salient Objects Detection (JW, YX, GZ), pp. 2337–2342.
ICPRICPR-2018-WangZGW #image #multi #network #parametricity #using
Fully convolutional neural networks for prostate cancer detection using multi-parametric magnetic resonance images: an initial investigation (YW, BZ, DG, JW), pp. 3814–3819.
ICPRICPR-2018-WangZL #generative #network
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks (CW, YMZ, CLL), pp. 1121–1126.
ICPRICPR-2018-WuYWWX #recognition
Facial Expression Recognition for Different Pose Faces Based on Special Landmark Detection (WW, YY, YW, XW, DX), pp. 1524–1529.
ICPRICPR-2018-XieW #multi #segmentation #semantics
Multi-scale Semantic Segmentation Enriched Features for Pedestrian Detection (XX, ZW), pp. 2196–2201.
ICPRICPR-2018-XuD #modelling #using
Human Routine Change Detection using Bayesian Modelling (YX, DD), pp. 1833–1838.
ICPRICPR-2018-XuZH
Densely Connected Single-Shot Detector (PX, XZ, KH), pp. 2178–2183.
ICPRICPR-2018-Yang0CF #analysis #canonical #correlation #image #using
Heterogeneous image change detection using Deep Canonical Correlation Analysis (JY, YZ0, YC, LF), pp. 2917–2922.
ICPRICPR-2018-YangQKCF
Object Detection in Equirectangular Panorama (WY, YQ, JKK, FC, LF), pp. 2190–2195.
ICPRICPR-2018-YangQLZZLWS #estimation
A Light CNN based Method for Hand Detection and Orientation Estimation (LY, ZQ, ZL, SZ, YZ, HL0, JW, LS), pp. 2050–2055.
ICPRICPR-2018-YangZWQ #analysis #classification #image #quality #recognition
Quality Classified Image Analysis with Application to Face Detection and Recognition (FY, QZ0, MW, GQ), pp. 2863–2868.
ICPRICPR-2018-YanJY #3d #generative #network
3D Convolutional Generative Adversarial Networks for Detecting Temporal Irregularities in Videos (MY, XJ, JY), pp. 2522–2527.
ICPRICPR-2018-YanXAK #3d #fault #feature model
Accumulated Aggregation Shifting Based on Feature Enhancement for Defect Detection on 3D Textured Low-Contrast Surfaces (YY, SX, HA, SK), pp. 2965–2970.
ICPRICPR-2018-YaoDHB
Dense Receptive Field for Object Detection (YY, YD, ZH, HB), pp. 1815–1820.
ICPRICPR-2018-YinLLCS #multi #realtime
Cross Modal Multiscale Fusion Net for Real-time RGB-D Detection (KY, SL0, RL, YC, KS), pp. 2386–2391.
ICPRICPR-2018-YuanCLYL
Detecting Phishing Websites and Targets Based on URLs and Webpage Links (HY, XC0, YL, ZY, WL), pp. 3669–3674.
ICPRICPR-2018-YuLLW
A Fusion Strategy for the Single Shot Text Detector (ZY, SL, YL, PSPW), pp. 3687–3691.
ICPRICPR-2018-ZhangDKQL #multi #network
Global Contrast Enhancement Detection via Deep Multi-Path Network (CZ, DD, LK, HQ, SL), pp. 2815–2820.
ICPRICPR-2018-ZhangGX #automation #towards
Towards Automatic Detection of Monkey Faces (MZ, SG, XX), pp. 2564–2569.
ICPRICPR-2018-ZhangHLZ #network
Attention-based Neural Network for Traffic Sign Detection (JZ, LH, JL, YZ), pp. 1839–1844.
ICPRICPR-2018-ZhangWGWXL #effectiveness #learning #network
An Effective Deep Learning Based Scheme for Network Intrusion Detection (HZ, CQW, SG, ZW, YX, YL), pp. 682–687.
ICPRICPR-2018-ZhangYLQZC #network
Single Shot Feature Aggregation Network for Underwater Object Detection (LZ, XY0, ZL, LQ, HZ, CC), pp. 1906–1911.
ICPRICPR-2018-ZhangZZL #bound #image #performance
Boundary-based Image Forgery Detection by Fast Shallow CNN (ZZ, YZ, ZZ, JL), pp. 2658–2663.
ICPRICPR-2018-ZhengWXHG #adaptation #multi #self
A Noise-Robust Self-Adaptive Multitarget Speaker Detection System (SZ, JW, JX, WNH, JRG), pp. 1068–1072.
ICPRICPR-2018-ZhouKHSL
A Co-occurrence Background Model with Hypothesis on Degradation Modification for Object Detection in Strong Background Changes (WZ, SK, MH, YS, DL), pp. 1743–1748.
ICPRICPR-2018-ZhouMMB #learning
Learning Training Samples for Occlusion Edge Detection and Its Application in Depth Ordering Inference (YZ0, JM, AM, XB), pp. 541–546.
ICPRICPR-2018-ZhouYCK #image
Blurred Image Region Detection based on Stacked Auto-Encoder (YZ0, JY, YC, SYK), pp. 2959–2964.
ICPRICPR-2018-ZhuD #robust
Sliding Line Point Regression for Shape Robust Scene Text Detection (YZ, JD), pp. 3735–3740.
ICPRICPR-2018-ZhuZ #network
A Comprehensive Study on Upper-Body Detection with Deep Neural Networks (YZ, LZ), pp. 171–176.
ICPRICPR-2018-ZuninoMCAPBVBM #analysis #gesture #video
Video Gesture Analysis for Autism Spectrum Disorder Detection (AZ, PM, AC, CA, JP, FB, EV, CB, VM), pp. 3421–3426.
KDDKDD-2018-BorisyukGS #image #named #recognition #scalability
Rosetta: Large Scale System for Text Detection and Recognition in Images (FB, AG, VS), pp. 71–79.
KDDKDD-2018-ChungCHLE #behaviour #visual notation
Detection of Apathy in Alzheimer Patients by Analysing Visual Scanning Behaviour with RNNs (JC, SAC, NH, KLL, ME), pp. 149–157.
KDDKDD-2018-ConteMSGMV #community #named #network #scalability
D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes (AC, TDM, DDS, RG, AM, LV), pp. 1272–1281.
KDDKDD-2018-EswaranFGM #graph #named #streaming
SpotLight: Detecting Anomalies in Streaming Graphs (DE, CF, SG, NM), pp. 1378–1386.
KDDKDD-2018-FanHZYA #exclamation
Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection System (YF, SH, YZ, YY, MA), pp. 253–262.
KDDKDD-2018-He0LRLTZ #using
Detecting Vehicle Illegal Parking Events using Sharing Bikes' Trajectories (TH, JB0, RL, SR, YL, CT, YZ0), pp. 340–349.
KDDKDD-2018-HundmanCLCS #parametricity #using
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding (KH, VC, CL, IC, TS), pp. 387–395.
KDDKDD-2018-LiuSZ
Where Will Dockless Shared Bikes be Stacked?: - Parking Hotspots Detection in a New City (ZL, YS, YZ), pp. 566–575.
KDDKDD-2018-LiuYH
Adversarial Detection with Model Interpretation (NL, HY, XH), pp. 1803–1811.
KDDKDD-2018-NaKY #data type #effectiveness #memory management #named #performance
DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams (GSN, DHK, HY), pp. 1993–2002.
KDDKDD-2018-PangCCL #learning #random
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection (GP, LC, LC, HL), pp. 2041–2050.
KDDKDD-2018-QahtanEFO0 #named #robust
FAHES: A Robust Disguised Missing Values Detector (AAQ, AKE, RCF, MO, NT0), pp. 2100–2109.
KDDKDD-2018-RouxPMVF #approach #machine learning #using
Tax Fraud Detection for Under-Reporting Declarations Using an Unsupervised Machine Learning Approach (DdR, BP, AM, MDPV, CF), pp. 215–222.
KDDKDD-2018-SatoNHMHAM #learning
Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition (IS, YN, SH, SM, NH, OA, YM), pp. 695–704.
KDDKDD-2018-ShashikumarSCN #bidirectional #network #using
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks (SPS, AJS, GDC, SN), pp. 715–723.
KDDKDD-2018-TaoXGLFZ #framework #game studies #named
NGUARD: A Game Bot Detection Framework for NetEase MMORPGs (JT, JX, LG, YL, CF, ZZ), pp. 811–820.
KDDKDD-2018-Valdez-VivasGKF #distributed #framework #performance #realtime
A Real-time Framework for Detecting Efficiency Regressions in a Globally Distributed Codebase (MVV, CG, AK, EF, KG, SC), pp. 821–829.
KDDKDD-2018-WangMJYXJSG #multi #named #network
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection (YW, FM, ZJ, YY0, GX, KJ, LS, JG0), pp. 849–857.
KDDKDD-2018-XieCS #online
False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled Experiments (YX, NC, XS), pp. 876–885.
KDDKDD-2018-YuCAZCW #approach #flexibility #named #network
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks (WY, WC, CCA, KZ0, HC, WW0), pp. 2672–2681.
ECMFAECMFA-2018-Ramadan0SRJ #modelling #process #requirements #security
Detecting Conflicts Between Data-Minimization and Security Requirements in Business Process Models (QR, DS, MS, VR, JJ), pp. 179–198.
ECOOPECOOP-2018-MezzettiMT #library #testing
Type Regression Testing to Detect Breaking Changes in Node.js Libraries (GM, AM, MTT), p. 24.
OOPSLAOOPSLA-2018-BlackshearGOS #composition #concurrent #named
RacerD: compositional static race detection (SB, NG, PWO, IS), p. 28.
OOPSLAOOPSLA-2018-MathurK0 #concurrent #power of #predict #what
What happens-after the first race? enhancing the predictive power of happens-before based dynamic race detection (UM, DK, MV0), p. 29.
OOPSLAOOPSLA-2018-PradelS #approach #debugging #learning #named
DeepBugs: a learning approach to name-based bug detection (MP, KS), p. 25.
PADLPADL-2018-AnandCN #automation #consistency #logic #nondeterminism #using
An Automated Detection of Inconsistencies in SBVR-based Business Rules Using Many-sorted Logic (KA, PKC, RN), pp. 80–96.
PLDIPLDI-2018-DuckY #c #c++ #effectiveness #fault #memory management #named #using
EffectiveSan: type and memory error detection using dynamically typed C/C++ (GJD, RHCY), pp. 181–195.
PLDIPLDI-2018-PengGD #named
CURD: a dynamic CUDA race detector (YP, VG, JD), pp. 390–403.
PLDIPLDI-2018-RoemerGB #bound #concurrent #predict
High-coverage, unbounded sound predictive race detection (JR, KG, MDB), pp. 374–389.
POPLPOPL-2018-GrossmanAGMRSZ #contract #effectiveness #online
Online detection of effectively callback free objects with applications to smart contracts (SG, IA, GGG, YM, NR, MS, YZ), p. 28.
ASEASE-2018-HabibP18a #case study #debugging #how
How many of all bugs do we find? a study of static bug detectors (AH, MP), pp. 317–328.
ASEASE-2018-He0WZLX #android #comprehension
Understanding and detecting evolution-induced compatibility issues in Android apps (DH, LL0, LW, HZ, GL, JX), pp. 167–177.
ASEASE-2018-HuangWLC #android #comprehension
Understanding and detecting callback compatibility issues for Android applications (HH, LW, YL, SCC), pp. 532–542.
ASEASE-2018-JiangLC #contract #fuzzing #named
ContractFuzzer: fuzzing smart contracts for vulnerability detection (BJ, YL, WKC), pp. 259–269.
ASEASE-2018-LiuHZLLPZ #named #similarity
αDiff: cross-version binary code similarity detection with DNN (BL, WH, CZ0, WL, FL, AP, WZ), pp. 667–678.
ASEASE-2018-LiuXZ #learning
Deep learning based feature envy detection (HL, ZX, YZ), pp. 385–396.
ASEASE-2018-MoranWHPP #evolution #mobile #user interface
Detecting and summarizing GUI changes in evolving mobile apps (KM, CW, JH, GP, DP), pp. 543–553.
ASEASE-2018-Vera-PerezMB #named #pseudo #tool support
Descartes: a PITest engine to detect pseudo-tested methods: tool demonstration (OLVP, MM, BB), pp. 908–911.
ESEC-FSEESEC-FSE-2018-0006WR #android #energy
Detection of energy inefficiencies in Android wear watch faces (HZ0, HW, AR), pp. 691–702.
ESEC-FSEESEC-FSE-2018-AdamsenMAT #ajax #concurrent #javascript #web
Practical AJAX race detection for JavaScript web applications (CQA, AM, SA, FT), pp. 38–48.
ESEC-FSEESEC-FSE-2018-BianLSH0 #debugging #named
NAR-miner: discovering negative association rules from code for bug detection (PB, BL0, WS, JH0, YC0), pp. 411–422.
ESEC-FSEESEC-FSE-2018-DongWLGBLXK #android #automation #named
FraudDroid: automated ad fraud detection for Android apps (FD, HW, LL0, YG0, TFB, TL, GX, JK), pp. 257–268.
ESEC-FSEESEC-FSE-2018-GadelhaMCN #debugging #performance #towards
Towards counterexample-guided k-induction for fast bug detection (MYRG, FRM, LCC, DAN), pp. 765–769.
ESEC-FSEESEC-FSE-2018-GuoWW #execution #symbolic computation
Adversarial symbolic execution for detecting concurrency-related cache timing leaks (SG, MW, CW0), pp. 377–388.
ESEC-FSEESEC-FSE-2018-KateOZEX #consistency #named #nondeterminism #physics #probability
Phys: probabilistic physical unit assignment and inconsistency detection (SK, JPO, XZ, SGE, ZX), pp. 563–573.
ESEC-FSEESEC-FSE-2018-KiniM0 #concurrent
Data race detection on compressed traces (DK, UM, MV0), pp. 26–37.
ESEC-FSEESEC-FSE-2018-LiuYLJZS #clone detection #named #semantics #sketching #transaction
EClone: detect semantic clones in Ethereum via symbolic transaction sketch (HL, ZY, CL, YJ0, WZ, JS), pp. 900–903.
ESEC-FSEESEC-FSE-2018-SainiFLBL #named
Oreo: detection of clones in the twilight zone (VS, FF, YL, PB, CVL), pp. 354–365.
ESEC-FSEESEC-FSE-2018-WoodRAM #debugging #developer #speech
Detecting speech act types in developer question/answer conversations during bug repair (AW, PR, AA, CM), pp. 491–502.
ESEC-FSEESEC-FSE-2018-YangYSLC #automation #ide #named #web
PowerStation: automatically detecting and fixing inefficiencies of database-backed web applications in IDE (JY, CY, PS, SL, AC), pp. 884–887.
ICSE-2018-BellLHEYM #automation #named #testing
DeFlaker: automatically detecting flaky tests (JB0, OL, MH, LE, TY, DM), pp. 433–444.
ICSE-2018-CalefatoLMN #development #sentiment
Sentiment polarity detection for software development (FC, FL, FM, NN), p. 128.
ICSE-2018-GarciaHM #android #identification #lightweight #obfuscation #product line
Lightweight, obfuscation-resilient detection and family identification of Android malware (JG, MH, SM), p. 497.
ICSE-2018-PapadakisSYB #correlation #empirical #fault #scalability
Are mutation scores correlated with real fault detection?: a large scale empirical study on the relationship between mutants and real faults (MP, DS0, SY, DHB), pp. 537–548.
ICSE-2018-ShanNS #android #behaviour #self
Self-hiding behavior in Android apps: detection and characterization (ZS, IN, RS), pp. 728–739.
ICSE-2018-TsantalisMEMD #commit #performance #refactoring
Accurate and efficient refactoring detection in commit history (NT, MM, LME, DM, DD), pp. 483–494.
ICSE-2018-WangSWXR #clone detection #named
CCAligner: a token based large-gap clone detector (PW, JS, YW, YX, CKR), pp. 1066–1077.
ICSE-2018-YanSCX #approach #reduction
Spatio-temporal context reduction: a pointer-analysis-based static approach for detecting use-after-free vulnerabilities (HY, YS, SC0, JX), pp. 327–337.
GPCEGPCE-2018-VolanschiSC #domain-specific language #implementation
Implementing a semi-causal domain-specific language for context detection over binary sensors (NV, BPS, CC), pp. 66–78.
ASPLOSASPLOS-2018-DavidPY #named #precise #static analysis
FirmUp: Precise Static Detection of Common Vulnerabilities in Firmware (YD, NP, EY), pp. 392–404.
ASPLOSASPLOS-2018-HuN #android #static analysis
Static Detection of Event-based Races in Android Apps (YH, IN), pp. 257–270.
ASPLOSASPLOS-2018-LiuWLLYT #automation #debugging #named
FCatch: Automatically Detecting Time-of-fault Bugs in Cloud Systems (HL, XW, GL, SL, FY, CT0), pp. 419–431.
CASECASE-2018-AhmedDB0 #generative
Outlier Detection for Hydropower Generation Plant (IA, AD, AB, YD0), pp. 193–198.
CASECASE-2018-AshouriHNS #approximate #energy #performance #using
Energy Performance Based Anomaly Detection in Non-Residential Buildings Using Symbolic Aggregate Approximation (AA, YH, GRN, WS0), pp. 1400–1405.
CASECASE-2018-DasWSP #adaptation #interactive #using
Whole Body Human-Robot Collision Detection Using Base-sensor Neuroadaptive Interaction (SKD, IW, MNS, DOP), pp. 278–283.
CASECASE-2018-ElHadyP #correlation #towards
Towards Sensor Failure Detection in Ambient Assisted Living: Sensors Correlations (NEE, JP), pp. 378–383.
CASECASE-2018-GaoXDCSG #using
Detection of Weld Cracks Using Magneto-optical Imaging (XG, YX, LD, ZC, YS, PPG), pp. 559–564.
CASECASE-2018-GohSHSS #automation #clustering
Semi-Automatic Snore Detection in Polysomnography based on Hierarchical Clustering (CFG, LBS, MHH, GLGS, KS), pp. 1116–1122.
CASECASE-2018-GonzalezCPS #interface #multi
Obstacle Detection and Avoidance Device for Multirotor UAVs through interface with Pixhawk Flight Controller (JG, AC, JAP, CS), pp. 110–115.
CASECASE-2018-GuptaKKN
Vision-based deformation and wrinkle detection for semi-finished fiber products on curved surfaces (KG, MK, FK, HN), pp. 618–623.
CASECASE-2018-HaghighiRATMC #using
Depth-based Object Detection using Hierarchical Fragment Matching Method (RH, MR, SMA, KPT, AAM0, CMC), pp. 780–785.
CASECASE-2018-JalalianLWAC #approach #automation #fault #statistics #visual notation
An Automatic Visual Inspection Method based on Statistical Approach for Defect Detection of Ship Hull Surfaces (AJ, WFL, FSW, SMA, CMC), pp. 445–450.
CASECASE-2018-SeichterESG #how #learning
How to Improve Deep Learning based Pavement Distress Detection while Minimizing Human Effort (DS, ME0, RS, HMG), pp. 63–70.
CASECASE-2018-WangKZY #concept #data type #learning #multi
A Multiscale Concept Drift Detection Method for Learning from Data Streams (XW, QK, MZ, SY), pp. 786–790.
CASECASE-2018-Wu #approach #automation #clustering #multi #online
CASE 2018 Special Session Presentation-Only Abstract Submission Form: A Sequential Bayesian Partitioning Approach for Online Steady State Detection of Multivariate Systems (JW), pp. 1308–1309.
CASECASE-2018-ZhangM #data-driven
Data-driven Downtime Bottleneck Detection in Open Flow Lines (MZ, AM), pp. 1513–1518.
CASECASE-2018-ZhangZY #algorithm #distributed #fault
A Distributed Algorithm for Sensor Fault Detection (ZZ, QZ, WY), pp. 756–761.
CGOCGO-2018-0001LQDL #android #distributed #logic #using
Resilient decentralized Android application repackaging detection using logic bombs (QZ0, LL, ZQ, XD, ZL), pp. 50–61.
CGOCGO-2018-FuLJ #android #named
nAdroid: statically detecting ordering violations in Android applications (XF, DL, CJ), pp. 62–74.
CGOCGO-2018-RoySKL #lightweight
Lightweight detection of cache conflicts (PR, SLS, SK, XL0), pp. 200–213.
FASEFASE-2018-KorogluS #android #named #testing
TCM: Test Case Mutation to Improve Crash Detection in Android (YK, AS0), pp. 264–280.
ICSTICST-2018-GambiBZ #dependence
Practical Test Dependency Detection (AG, JB0, AZ), pp. 1–11.
ICSTICST-2018-RyouR #automation #fault #html #layout #web
Automatic Detection of Visibility Faults by Layout Changes in HTML5 Web Pages (YR, SR), pp. 182–192.
ICSTICST-2018-TimperleyAKHG #debugging #question #simulation
Crashing Simulated Planes is Cheap: Can Simulation Detect Robotics Bugs Early? (CST, AA, DSK, JMH, CLG), pp. 331–342.
TAPTAP-2018-VorobyovKS #c #case study #experience #runtime #security #using #verification
Detection of Security Vulnerabilities in C Code Using Runtime Verification: An Experience Report (KV, NK, JS), pp. 139–156.
CSEETCSEET-2017-JoL #case study #education #keyword #re-engineering #video #word
A Study of Keywords Based on the Word Frequency Effect Theory in Video Lectures of Software Engineering Education for Detecting Mind (JJ, HL), pp. 241–245.
EDMEDM-2017-HuttHBSRD
Gaze-based Detection of Mind Wandering during Lecture Viewing (SH, JH, RB, AS, EFR, SD).
EDMEDM-2017-PatikornSHBZ #multi #using
Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects (TP, DS, NTH, JB, JZ).
EDMEDM-2017-StewartBD
Generalizability of Face-Based Mind Wandering Detection Across Task Contexts (AS, NB, SD).
EDMEDM-2017-TatoND #automation #network #reasoning
Convolutional Neural Network for Automatic Detection of Sociomoral Reasoning Level (AANT, RN, AD).
EDMEDM-2017-YinBPHZ #empirical #personalisation
Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments (BY, AFB, TP, NTH, JZ).
EDMEDM-2017-ZengCB #online
Learner Affect Through the Looking Glass: Characterization and Detection of Confusion in Online Courses (ZZ, SC, SB).
ICPCICPC-2017-HozanoGAFC #developer #exclamation #performance #smell
Smells are sensitive to developers!: on the efficiency of (un)guided customized detection (MH, AG, NA, BF, EdBC), pp. 110–120.
ICPCICPC-2017-HuZLG #architecture #clone detection #compilation
Binary code clone detection across architectures and compiling configurations (YH, YZ0, JL, DG), pp. 88–98.
ICPCICPC-2017-LiPG #automation
Automatically detecting integrity violations in database-centric applications (BL, DP, MG), pp. 251–262.
ICPCICPC-2017-NguyenJQ #android #mining #repository
Android repository mining for detecting publicly accessible functions missing permission checks (HHN, LJ, TTQ), pp. 324–327.
ICPCICPC-2017-SousaSFFB #composition #flexibility #named #smell
FindSmells: flexible composition of bad smell detection strategies (BLS, PPS, EF, KAMF, MASB), pp. 360–363.
ICPCICPC-2017-YueFM0TXL #android #automation #named
RepDroid: an automated tool for Android application repackaging detection (SY, WF, JM0, YJ0, XT, CX0, JL0), pp. 132–142.
ICSMEICSME-2017-EbertCNS #code review
Confusion Detection in Code Reviews (FE, FC, NN, AS), pp. 549–553.
ICSMEICSME-2017-GuoWXL #adaptation #consistency #named #nondeterminism #scheduling
GEAS: Generic Adaptive Scheduling for High-Efficiency Context Inconsistency Detection (BG, HW, CX0, JL0), pp. 137–147.
ICSMEICSME-2017-LiFZMR #approach #clone detection #named
CCLearner: A Deep Learning-Based Clone Detection Approach (LL, HF, WZ, NM, BGR), pp. 249–260.
ICSMEICSME-2017-PanM
Detecting DOM-Sourced Cross-Site Scripting in Browser Extensions (JP, XM), pp. 24–34.
MSRMSR-2017-SilvaV #named #refactoring #version control
RefDiff: detecting refactorings in version histories (DS, MTV), pp. 269–279.
SANERSANER-2017-Kirda #approach #automation #named #scalability
UNVEIL: A large-scale, automated approach to detecting ransomware (keynote) (EK), p. 1.
SANERSANER-2017-MizobuchiT #stack overflow
Two improvements to detect duplicates in Stack Overflow (YM, KT), pp. 563–564.
SANERSANER-2017-PalombaNPZL #lightweight #smell
Lightweight detection of Android-specific code smells: The aDoctor project (FP, DDN, AP, AZ, ADL), pp. 487–491.
SANERSANER-2017-ZhangLKXLS #git #repository
Detecting similar repositories on GitHub (YZ0, DL0, PSK, XX0, QL, JS), pp. 13–23.
SCAMSCAM-2017-NagyC #embedded #java #query #smell #sql
A Static Code Smell Detector for SQL Queries Embedded in Java Code (CN0, AC), pp. 147–152.
SCAMSCAM-2017-NashaatAM #object-oriented #php #security #source code
Detecting Security Vulnerabilities in Object-Oriented PHP Programs (MN, KA0, JM0), pp. 159–164.
SCAMSCAM-2017-RuizCM #source code
Working Around Loops for Infeasible Path Detection in Binary Programs (JR, HC, MDM), pp. 1–10.
CoGCIG-2017-BurnsT #game studies #using
Detecting flow in games using facial expressions (AB, JRT), pp. 45–52.
CoGVS-Games-2017-MaltezosDI #3d #modelling #visualisation
Improving the visualisation of 3D textured models via shadow detection and removal (EM, AD, CI), pp. 161–164.
CIKMCIKM-2017-CaiLZ #behaviour #modelling #social
Detecting Social Bots by Jointly Modeling Deep Behavior and Content Information (CC, LL, DZ), pp. 1995–1998.
CIKMCIKM-2017-CavallariZCCC #community #graph #learning
Learning Community Embedding with Community Detection and Node Embedding on Graphs (SC, VWZ, HC, KCCC, EC), pp. 377–386.
CIKMCIKM-2017-ChenDWXCCM #learning #spreadsheet
Spreadsheet Property Detection With Rule-assisted Active Learning (ZC, SD, RW, GX, DC, MJC, JDM), pp. 999–1008.
CIKMCIKM-2017-FanZYLZ #automation #case study #social #social media #twitter
Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies (YF, YZ, YY, XL, WZ), pp. 1259–1267.
CIKMCIKM-2017-HagenPAFS #retrieval #reuse
Source Retrieval for Web-Scale Text Reuse Detection (MH, MP, PA, EF, BS0), pp. 2091–2094.
CIKMCIKM-2017-KhandpurJJ0LR #crowdsourcing #social #social media #using
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media (RPK, TJ, STKJ, GW0, CTL, NR), pp. 1049–1057.
CIKMCIKM-2017-LiCHCGPY
Public Transportation Mode Detection from Cellular Data (GL, CJC, SYH, AJC, XG, WCP, CWY), pp. 2499–2502.
CIKMCIKM-2017-LiHPG #framework #machine learning #named
DeMalC: A Feature-rich Machine Learning Framework for Malicious Call Detection (YL, DH, AP, ZG), pp. 1559–1567.
CIKMCIKM-2017-LiuHF #named
HoloScope: Topology-and-Spike Aware Fraud Detection (SL, BH, CF), pp. 1539–1548.
CIKMCIKM-2017-MengMJ
Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection (ZM, LM, ZJ), pp. 2203–2206.
CIKMCIKM-2017-MeuschkeSHSG
Analyzing Mathematical Content to Detect Academic Plagiarism (NM, MS, FH, TS, BG), pp. 2211–2214.
CIKMCIKM-2017-Mihalcea
Deception Detection: When Computers Become Better than Humans (RM), p. 3.
CIKMCIKM-2017-PangXCZ #category theory #learning
Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data (GP, HX, LC, WZ), pp. 807–816.
CIKMCIKM-2017-PatwariGB #classification #multi #named
TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates (AP, DG, SB), pp. 2259–2262.
CIKMCIKM-2017-PersiaBH #framework #interactive #modelling #video
An Interactive Framework for Video Surveillance Event Detection and Modeling (FP, FB, SH), pp. 2515–2518.
CIKMCIKM-2017-ProskurniaM0AC #documentation #performance #topic #using
Efficient Document Filtering Using Vector Space Topic Expansion and Pattern-Mining: The Case of Event Detection in Microposts (JP, RM, CC0, KA, PCM), pp. 457–466.
CIKMCIKM-2017-RuchanskySL #hybrid #named
CSI: A Hybrid Deep Model for Fake News Detection (NR, SS, YL0), pp. 797–806.
CIKMCIKM-2017-SunSGOC #approach #community #symmetry
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection (BJS, HS, JG, WO, XC), pp. 597–606.
CIKMCIKM-2017-TengLW #learning #multi #network #using
Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning (XT, YRL, XW), pp. 827–836.
CIKMCIKM-2017-WilliamsZ #interactive #modelling #sequence
Does That Mean You're Happy?: RNN-based Modeling of User Interaction Sequences to Detect Good Abandonment (KW, IZ), pp. 727–736.
CIKMCIKM-2017-WuSZ #approach #behaviour #modelling #performance
A Fast Trajectory Outlier Detection Approach via Driving Behavior Modeling (HW0, WS, BZ), pp. 837–846.
CIKMCIKM-2017-WuUBG #network
Conflict of Interest Declaration and Detection System in Heterogeneous Networks (SW, LHU, SSB, WG), pp. 2383–2386.
CIKMCIKM-2017-YuanSCZG0 #multi #sequence
Detecting Multiple Periods and Periodic Patterns in Event Time Sequences (QY0, JS, XC, CZ0, XG, JH0), pp. 617–626.
CIKMCIKM-2017-YuanWLL #network
Spectrum-based Deep Neural Networks for Fraud Detection (SY, XW, JL, AL), pp. 2419–2422.
CIKMCIKM-2017-ZhangCYL #community #enterprise #learning #named
BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion (JZ, LC, PSY, YL), pp. 859–868.
CIKMCIKM-2017-ZhuAMZH
Outlier Detection in Sparse Data with Factorization Machines (MZ, CCA, SM0, HZ, JH), pp. 817–826.
ECIRECIR-2017-AlviSC #obfuscation
Plagiarism Detection in Texts Obfuscated with Homoglyphs (FA, MS, PDC), pp. 669–675.
ECIRECIR-2017-Anand0P #exclamation #network #what
We Used Neural Networks to Detect Clickbaits: You Won't Believe What Happened Next! (AA, TC0, NP), pp. 541–547.
ECIRECIR-2017-GarbaceaK #analysis #summary
A Systematic Analysis of Sentence Update Detection for Temporal Summarization (CG, EK), pp. 424–436.
ECIRECIR-2017-HuangHC #network
Irony Detection with Attentive Recurrent Neural Networks (YHH, HHH, HHC), pp. 534–540.
ECIRECIR-2017-QinWLT
Counteracting Novelty Decay in First Story Detection (YQ, DW, VL, CT), pp. 555–560.
ICMLICML-2017-AksoylarOS
Connected Subgraph Detection with Mirror Descent on SDPs (CA, LO, VS), pp. 51–59.
ICMLICML-2017-FutomaHH #classification #learning #multi #process
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier (JF, SH, KAH), pp. 1174–1182.
ICMLICML-2017-HonerNBMG #robust #trust
Minimizing Trust Leaks for Robust Sybil Detection (JH, SN, AB0, KRM, NG), pp. 1520–1528.
KDDKDD-2017-CaoZZYPZARL #mobile #modelling #named #type system
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection (BC, LZ, CZ, PSY, AP, JZ, OA, KR, ADL), pp. 747–755.
KDDKDD-2017-DadkhahiM #embedded #learning #network
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices (HD, BMM), pp. 1773–1781.
KDDKDD-2017-FuA0TX #automation #interactive #named
REMIX: Automated Exploration for Interactive Outlier Detection (YF, CCA, SP0, DST, HX), pp. 827–835.
KDDKDD-2017-HassanALT #automation #towards
Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster (NH, FA, CL, MT), pp. 1803–1812.
KDDKDD-2017-HouYSA #android #named #network
HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network (SH, YY, YS, MA), pp. 1507–1515.
KDDKDD-2017-MaurusP #using
Let's See Your Digits: Anomalous-State Detection using Benford's Law (SM, CP), pp. 977–986.
KDDKDD-2017-SaveskiPSDGXA #network #random
Detecting Network Effects: Randomizing Over Randomized Experiments (MS, JPA, GSJ, WD, SG, YX, EMA), pp. 1027–1035.
KDDKDD-2017-ShinHKF #incremental #named
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams (KS, BH, JK, CF), pp. 1057–1066.
KDDKDD-2017-SifferFTL
Anomaly Detection in Streams with Extreme Value Theory (AS, PAF, AT, CL), pp. 1067–1075.
KDDKDD-2017-WangFLHA #process
Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes (PW, YF, GL, WH, CCA), pp. 495–503.
KDDKDD-2017-WangGZOXLG #network
Adversary Resistant Deep Neural Networks with an Application to Malware Detection (QW, WG, KZ, AGOI, XX, XL, CLG), pp. 1145–1153.
KDDKDD-2017-WuAL
Structural Event Detection from Log Messages (FW0, PA, ZL), pp. 1175–1184.
KDDKDD-2017-YanCKR #big data #distributed
Distributed Local Outlier Detection in Big Data (YY, LC, CK, EAR), pp. 1225–1234.
KDDKDD-2017-YanCR #scalability
Scalable Top-n Local Outlier Detection (YY, LC, EAR), pp. 1235–1244.
KDDKDD-2017-ZhangLLYZH0 #named #online #twitter
TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams (CZ0, LL, DL, QY0, HZ, TH, JH0), pp. 595–604.
KDDKDD-2017-ZhengBLL #learning #metric
Contextual Spatial Outlier Detection with Metric Learning (GZ, SLB, TL, ZL), pp. 2161–2170.
KDDKDD-2017-ZhouP #robust
Anomaly Detection with Robust Deep Autoencoders (CZ, RCP), pp. 665–674.
ECOOPECOOP-2017-HuangR #concurrent #performance #perspective #precise #what
What's the Optimal Performance of Precise Dynamic Race Detection? - A Redundancy Perspective (JH, AKR), p. 22.
OOPSLAOOPSLA-2017-AdamsenMT #concurrent #javascript #web
Practical initialization race detection for JavaScript web applications (CQA, AM, FT), p. 22.
OOPSLAOOPSLA-2017-RiceAJJPA #fault
Detecting argument selection defects (AR, EA, CJ, EJ, MP, YAP), p. 22.
OOPSLAOOPSLA-2017-WoodCBG #bias #concurrent
Instrumentation bias for dynamic data race detection (BPW, MC, MDB, DG), p. 31.
LOPSTRLOPSTR-2017-AlbertGI #concurrent #effectiveness #generative
Generation of Initial Contexts for Effective Deadlock Detection (EA, MGZ, MI), pp. 3–19.
LOPSTRLOPSTR-2017-LaneveG #bytecode #concurrent #java
Deadlock Detection of Java Bytecode (CL, AG), pp. 37–53.
PEPMPEPM-2017-MatsushitaS
Detecting code clones with gaps by function applications (TM, IS), pp. 12–22.
PLDIPLDI-2017-RhodesFF #concurrent #named #static analysis
BigFoot: static check placement for dynamic race detection (DR, CF, SNF), pp. 141–156.
PLDIPLDI-2017-SanthiarK #c# #concurrent #source code
Static deadlock detection for asynchronous C# programs (AS, AK), pp. 292–305.
POPLPOPL-2017-LidburyD #concurrent
Dynamic race detection for C++11 (CL, AFD), pp. 443–457.
ASEASE-2017-ChenODL #static analysis #web
Static detection of asymptotic resource side-channel vulnerabilities in web applications (JC, OO, ID, CL), pp. 229–239.
ASEASE-2017-FazziniO #automation #consistency #mobile #nondeterminism #platform
Automated cross-platform inconsistency detection for mobile apps (MF, AO), pp. 308–318.
ASEASE-2017-LeeHR #all about #injection #process #semantics
All about activity injection: threats, semantics, and detection (SL, SH, SR), pp. 252–262.
ASEASE-2017-LeeYSNM #android #named #security #visualisation
SEALANT: a detection and visualization tool for inter-app security vulnerabilities in Android (YKL, PY, AS, DN, NM), pp. 883–888.
ASEASE-2017-MathisASBZ #data flow
Detecting information flow by mutating input data (BM, VA, EOS, MB, AZ), pp. 263–273.
ASEASE-2017-OcarizaP0 #consistency #nondeterminism #web
Detecting unknown inconsistencies in web applications (FSOJ, KP, AM0), pp. 566–577.
ASEASE-2017-RatolR
Detecting fragile comments (IKR, MPR), pp. 112–122.
ASEASE-2017-ZhouSLCL #named
UNDEAD: detecting and preventing deadlocks in production software (JZ, SS, HL, YC0, TL), pp. 729–740.
ESEC-FSEESEC-FSE-2017-AliabadiKGP #cyber-physical #invariant #named #security
ARTINALI: dynamic invariant detection for cyber-physical system security (MRA, AAK, JGS, KP), pp. 349–361.
ESEC-FSEESEC-FSE-2017-ChaparroLZMPMBN #debugging
Detecting missing information in bug descriptions (OC, JL, FZ, LM, MDP, AM, GB, VN), pp. 396–407.
ESEC-FSEESEC-FSE-2017-GuoCY #concurrent #execution #named #thread
AtexRace: across thread and execution sampling for in-house race detection (YG, YC0, ZY), pp. 315–325.
ESEC-FSEESEC-FSE-2017-Mujahid #android #case study #smarttech
Detecting wearable app permission mismatches: a case study on Android wear (SM), pp. 1065–1067.
ESEC-FSEESEC-FSE-2017-PastoreM #automation #fault #named
VART: a tool for the automatic detection of regression faults (FP, LM), pp. 964–968.
ICSE-2017-ChenJ #anti
Characterizing and detecting anti-patterns in the logging code (BC, ZM(J), pp. 71–81.
ICSE-2017-ChoudharyLP #concurrent #generative #performance #safety #testing #thread
Efficient detection of thread safety violations via coverage-guided generation of concurrent tests (AC, SL, MP), pp. 266–277.
ICSE-2017-GaoBB #debugging #javascript
To type or not to type: quantifying detectable bugs in JavaScript (ZG, CB, ETB), pp. 758–769.
ICSE-2017-HawkinsD #named #php
ZenIDS: introspective intrusion detection for PHP applications (BH, BD), pp. 232–243.
ICSE-2017-LiWWWWLXH #android #library #named #precise #scalability
LibD: scalable and precise third-party library detection in android markets (ML, WW, PW0, SW0, DW, JL, RX, WH), pp. 335–346.
ICSE-2017-PadhyeS #dynamic analysis #named #traversal
Travioli: a dynamic analysis for detecting data-structure traversals (RP, KS), pp. 473–483.
ICSE-2017-RodegheroJAM #developer #summary
Detecting user story information in developer-client conversations to generate extractive summaries (PR, SJ, AA, CM), pp. 49–59.
ICSE-2017-ThomeSBB #constraints #string #theorem proving
Search-driven string constraint solving for vulnerability detection (JT, LKS, DB, LCB), pp. 198–208.
ICSE-2017-VendomeVBPGP #exception #machine learning #open source
Machine learning-based detection of open source license exceptions (CV, MLV, GB, MDP, DMG, DP), pp. 118–129.
ICSE-2017-ZhouGCHPG #api #documentation #fault
Analyzing APIs documentation and code to detect directive defects (YZ0, RG, TC, ZH, SP, HCG), pp. 27–37.
ASPLOSASPLOS-2017-LiuLLLLGT #automation #concurrent #debugging #distributed #named
DCatch: Automatically Detecting Distributed Concurrency Bugs in Cloud Systems (HL, GL, JFL, JL, SL, HSG, CT0), pp. 677–691.
ASPLOSASPLOS-2017-ZhangJL #concurrent #named
ProRace: Practical Data Race Detection for Production Use (TZ, CJ, DL), pp. 149–162.
CASECASE-2017-ChenWWWC #big data #classification #fault #multi
Big data analytic for multivariate fault detection and classification in semiconductor manufacturing (YJC, BCW, JZW, YCW, CFC), pp. 731–736.
CASECASE-2017-ChenZ #automation #multi #using
An automatic seizure detection method using multi-channel EEG signals (SC, XZ0), pp. 94–95.
CASECASE-2017-HanCZ #approach #matrix
Matrix approach to detectability of discrete event systems under partial observation (XH, ZC, JZ), pp. 187–192.
CASECASE-2017-JiaSYCYG #big data #data analysis #multi
Big-data analysis of multi-source logs for anomaly detection on network-based system (ZJ, CS0, XY, YC, TY, XG), pp. 1136–1141.
CASECASE-2017-KimV #adaptation #fault
Quadruple adaptive redundancy with fault detection estimator (DK, RMV), pp. 542–547.
CASECASE-2017-LuanWZCZ #fault #process
Porosity defect detection based on FastICA-RBF during pulsed TIG welding process (RL, GW, RZ, ZC, ZZ), pp. 548–553.
CASECASE-2017-LuLAHH
Generalized Haar filter based CNN for object detection in traffic scenes (KL, JL, XA, HH, XH0), pp. 1657–1662.
CASECASE-2017-LuRSW #learning #visual notation
Visual guided deep learning scheme for fall detection (NL, XR, JS, YW), pp. 801–806.
CASECASE-2017-RonB #clustering
Density based clustering for detection of robotic operations (MR, PB), pp. 314–319.
CASECASE-2017-SaezMBT #analysis #cyber-physical
Anomaly detection and productivity analysis for cyber-physical systems in manufacturing (MS, FPM, KB, DMT), pp. 23–29.
CASECASE-2017-TanGCCT #automation
Automated vision based detection of blistering on metal surface: For robot (WCT, PCG, AC, IMC, HKT), pp. 74–79.
CASECASE-2017-ZhaoSY
Obstacle detection and avoidance for autonomous bicycles (MZ, SS, YY), pp. 1310–1315.
CASECASE-2017-ZouZ #analysis
Occupancy detection in elevator car by fusing analysis of dual videos (JZ, QZ), pp. 906–911.
CCCC-2017-BiswasCZBW #concurrent #lightweight
Lightweight data race detection for production runs (SB, MC, MZ, MDB, BPW), pp. 11–21.
CGOCGO-2017-ErbCG
Dynamic buffer overflow detection for GPGPUs (CE, MC, JLG), pp. 61–73.
CGOCGO-2017-JimboreanWEKR #automation
Automatic detection of extended data-race-free regions (AJ, JW, PE, SK, AR), pp. 14–26.
CADECADE-2017-0001SUP #consistency #first-order #knowledge base #nondeterminism #scalability
Detecting Inconsistencies in Large First-Order Knowledge Bases (SS0, GS, JU, AP), pp. 310–325.
CAVCAV-2017-AlurDLS #gpu #named #source code
GPUDrano: Detecting Uncoalesced Accesses in GPU Programs (RA, JD, OSNL, NS), pp. 507–525.
CAVCAV-2017-SinghBM #debugging #fault #formal method #locality #named #validation
E-QED: Electrical Bug Localization During Post-silicon Validation Enabled by Quick Error Detection and Formal Methods (ES, CWB, SM), pp. 104–125.
ICSTICST-2017-Gay #fault #generative #search-based #testing
The Fitness Function for the Job: Search-Based Generation of Test Suites That Detect Real Faults (GG), pp. 345–355.
ICSTICST-2017-TangCZGXHBM #android #automation #named #verification
NIVAnalyzer: A Tool for Automatically Detecting and Verifying Next-Intent Vulnerabilities in Android Apps (JT, XC, ZZ0, SG, XSX, CH, TB, BM), pp. 492–499.
VMCAIVMCAI-2017-CuoqRC #alias #strict
Detecting Strict Aliasing Violations in the Wild (PC, LR, AC), pp. 14–33.
VMCAIVMCAI-2017-MukherjeeKD #kernel
Detecting All High-Level Dataraces in an RTOS Kernel (SM, AK, DD), pp. 405–423.
ECSAECSA-2016-KaptoEKT #analysis #approach #architecture #evolution #source code
Inferring Architectural Evolution from Source Code Analysis - A Tool-Supported Approach for the Detection of Architectural Tactics (CK, GEB, SK, CT), pp. 149–165.
WICSAWICSA-2016-FontanaRZRC #architecture #case study #experience
An Experience Report on Detecting and Repairing Software Architecture Erosion (FAF, RR, MZ, CR, RC), pp. 21–30.
WICSAWICSA-2016-YuanM #architecture #component #interactive #mining #security
Mining Software Component Interactions to Detect Security Threats at the Architectural Level (EY, SM), pp. 211–220.
EDMEDM-2016-BlanchardDOSKSW #automation #education
Semi-Automatic Detection of Teacher Questions from Human-Transcripts of Audio in Live Classrooms (NB, PJD, AO, BS, SK, XS, BW, MN, SKD), pp. 288–291.
EDMEDM-2016-HuttMWDD #learning
The Eyes Have It: Gaze-based Detection of Mind Wandering during Learning with an Intelligent Tutoring System (SH, CM, SW, PJD, SKD), pp. 86–93.
EDMEDM-2016-MatsudaCS #how #question
How quickly can wheel spinning be detected? (NM, SC, JCS), pp. 607–608.
EDMEDM-2016-MillsBWD #automation
Automatic Gaze-Based Detection of Mind Wandering during Film Viewing (CM, RB, XW, SKD), pp. 30–37.
ICPCICPC-2016-MakiharaIYFI #behaviour #programming
Detecting exploratory programming behaviors for introductory programming exercises (EM, HI, NY, KF, HI), pp. 1–4.
ICPCICPC-2016-OguraYHHK #exclamation #injection #java
Hey! Are you injecting side effect?: A tool for detecting purity changes in java methods (NO, JY, KH, YH, SK), pp. 1–3.
ICPCICPC-2016-PalombaPLOZ #smell
A textual-based technique for Smell Detection (FP, AP, ADL, RO, AZ), pp. 1–10.
ICPCICPC-2016-VasquezHP #android #automation #on the
On automatically detecting similar Android apps (MLV, AH, DP), pp. 1–10.
ICSMEICSME-2016-FontanaPRZ #architecture #automation #smell
Automatic Detection of Instability Architectural Smells (FAF, IP, RR, MZ), pp. 433–437.
ICSMEICSME-2016-Palomba #smell
Alternative Sources of Information for Code Smell Detection: Postcards from Far Away (FP), pp. 636–640.
ICSMEICSME-2016-PuntVZ16a #css #refactoring
A Tool for Detecting and Refactoring the A?B*A Pattern in CSS (LP, SV, VZ), p. 613.
ICSMEICSME-2016-RostamiEMT #javascript
Detecting Function Constructors in JavaScript (SR, LME, DM, NT), pp. 488–492.
ICSMEICSME-2016-SvajlenkoR #clone detection #evaluation #framework #named
BigCloneEval: A Clone Detection Tool Evaluation Framework with BigCloneBench (JS, CKR), pp. 596–600.
ICSMEICSME-2016-WuHTW #web
Detect Cross-Browser Issues for JavaScript-Based Web Applications Based on Record/Replay (GW, MH, HT, JW0), pp. 78–87.
MSRMSR-2016-AhmedBCHS #case study #effectiveness #experience #performance #tool support #web
Studying the effectiveness of application performance management (APM) tools for detecting performance regressions for web applications: an experience report (TMA, CPB, THC, AEH, WS), pp. 1–12.
MSRMSR-2016-AmannNNNM #benchmark #metric #named
MUBench: a benchmark for API-misuse detectors (SA, SN, HAN, TNN, MM), pp. 464–467.
MSRMSR-2016-GomezRAS #android #automation #mining #performance #repository #user interface
Mining test repositories for automatic detection of UI performance regressions in Android apps (MG0, RR, BA, LS), pp. 13–24.
MSRMSR-2016-IshioKKGI #component #java #reuse
Software ingredients: detection of third-party component reuse in Java software release (TI, RGK, TK0, DMG, KI), pp. 339–350.
MSRMSR-2016-MantylaADGO #mining #question
Mining valence, arousal, and dominance: possibilities for detecting burnout and productivity? (MM, BA, GD, DG, MO), pp. 247–258.
SANERSANER-2016-MloukiKA #android #ecosystem #on the
On the Detection of Licenses Violations in the Android Ecosystem (OM, FK, GA), pp. 382–392.
SCAMSCAM-2016-HollandSAK #algorithm #complexity #dynamic analysis #tool support
Statically-Informed Dynamic Analysis Tools to Detect Algorithmic Complexity Vulnerabilities (BH, GRS, PA, SK), pp. 79–84.
DLTDLT-2016-Basten #ambiguity #automaton #multi #using
Context-Free Ambiguity Detection Using Multi-stack Pushdown Automata (HJSB), pp. 1–12.
FMFM-2016-BohmMJ #concurrent #reduction
State-Space Reduction of Non-deterministically Synchronizing Systems Applicable to Deadlock Detection in MPI (SB, OM, PJ), pp. 102–118.
IFM-2016-AlbertGI #concurrent #static analysis #testing
Combining Static Analysis and Testing for Deadlock Detection (EA, MGZ, MI), pp. 409–424.
CoGCIG-2016-IkedaVS
Detection and labeling of bad moves for coaching go (KI, SV, NS), pp. 1–8.
CIKMCIKM-2016-0064NRR #framework #identification #learning #multi
A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events (WW0, YN, HR, NR), pp. 509–518.
CIKMCIKM-2016-AlabdulmohsinHS #graph
Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph (IMA, YH, YS, XZ0), pp. 2395–2400.
CIKMCIKM-2016-HeindorfPSE
Vandalism Detection in Wikidata (SH, MP, BS0, GE), pp. 327–336.
CIKMCIKM-2016-JangFDA #probability
Probabilistic Approaches to Controversy Detection (MJ, JF, SDH, JA), pp. 2069–2072.
CIKMCIKM-2016-JinFF #approach #collaboration
A Context-aware Collaborative Filtering Approach for Urban Black Holes Detection (LJ, ZF, LF), pp. 2137–2142.
CIKMCIKM-2016-LiangP #robust
Robust Contextual Outlier Detection: Where Context Meets Sparsity (JL, SP0), pp. 2167–2172.
CIKMCIKM-2016-LiuLNFTAKVPWMDV #realtime #scalability #twitter #verification
Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time News Events from Twitter (XL, QL, AN, RF, MT, KA, RK, MV, SP, RW, RM, JD, AV, WK, SS), pp. 207–216.
CIKMCIKM-2016-LiuLZZMYL #query
Detecting Promotion Campaigns in Query Auto Completion (YL, YL, KZ0, MZ0, SM, YY, HL), pp. 125–134.
CIKMCIKM-2016-LiuZCC #graph #statistics #topic
Graph Topic Scan Statistic for Spatial Event Detection (YL, BZ, FC0, DWC), pp. 489–498.
CIKMCIKM-2016-SampsonMWL #social #social media
Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection (JS, FM, LW0, HL0), pp. 2377–2382.
CIKMCIKM-2016-SuyehiraS #named #wiki
DePP: A System for Detecting Pages to Protect in Wikipedia (KS, FS), pp. 2081–2084.
CIKMCIKM-2016-TutekGSMB #concept #knowledge base #ranking #using
Detecting and Ranking Conceptual Links between Texts Using a Knowledge Base (MT, GG, JS, NMF, BDB), pp. 2077–2080.
CIKMCIKM-2016-Wang0PB #algorithm #cpu #online #self
A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing (XW0, JL0, NP, MB), pp. 1823–1832.
CIKMCIKM-2016-WangZHZ #fault #wiki
Error Link Detection and Correction in Wikipedia (CW0, RZ0, XH, AZ), pp. 307–316.
ECIRECIR-2016-PotthastKSH
Clickbait Detection (MP, SK, BS0, MH), pp. 810–817.
ECIRECIR-2016-SochenkovZTSSSO
Exactus Like: Plagiarism Detection in Scientific Texts (IS, DZ, IT, IS, AS, RS, GSO), pp. 837–840.
ICMLICML-2016-GuhaMRS #random #robust
Robust Random Cut Forest Based Anomaly Detection on Streams (SG, NM, GR, OS), pp. 2712–2721.
ICMLICML-2016-SangnierGR #proximity #reliability #representation #using
Early and Reliable Event Detection Using Proximity Space Representation (MS, JG, AR), pp. 2310–2319.
ICMLICML-2016-ZhaiCLZ #energy #modelling
Deep Structured Energy Based Models for Anomaly Detection (SZ, YC, WL, ZZ), pp. 1100–1109.
ICPRICPR-2016-0003BP #3d #symmetry
Detection and characterization of Intrinsic symmetry of 3D shapes (AM0, SMB, FP), pp. 1815–1820.
ICPRICPR-2016-AbdicFBARMS #approach #learning
Detecting road surface wetness from audio: A deep learning approach (IA, LF, DEB, WA, BR, EM, BWS), pp. 3458–3463.
ICPRICPR-2016-AghaeiDR #interactive #social
With whom do I interact? Detecting social interactions in egocentric photo-streams (MA, MD, PR), pp. 2959–2964.
ICPRICPR-2016-Altamirano-Gomez #algebra #geometry
Conformal Geometric Algebra method for detection of geometric primitives (GEAG, EBC), pp. 4190–4195.
ICPRICPR-2016-AnZH #online
Online RGB-D tracking via detection-learning-segmentation (NA, XZ, ZGH), pp. 1231–1236.
ICPRICPR-2016-BillingsAB #analysis #image
Ultrasound image analysis for myopathy detection (SB, JA, PB), pp. 1461–1465.
ICPRICPR-2016-BlondelPPLL #collaboration
Dynamic collaboration of far-infrared and visible spectrum for human detection (PB, AP, CP, RL, DL), pp. 698–703.
ICPRICPR-2016-BrownF #smarttech #using
Enhanced face detection using body part detections for wearable cameras (LMB, QF), pp. 715–720.
ICPRICPR-2016-BulatovS #segmentation
Segmentation methods for detection of stationary vehicles in combined elevation and optical data (DB, HS), pp. 603–608.
ICPRICPR-2016-CapuaNP #network #social
Unsupervised cyber bullying detection in social networks (MDC, EDN, AP), pp. 432–437.
ICPRICPR-2016-ChenGLZY
Appearance changes detection during tracking (WC, XG0, XL, EZ, JY), pp. 1821–1826.
ICPRICPR-2016-ChenWHF #estimation #learning
Deep learning for integrated hand detection and pose estimation (TYC, MYW, YHH, LCF), pp. 615–620.
ICPRICPR-2016-ChoiKPS #multi #network
Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks (HC, SK, KP, KS), pp. 621–626.
ICPRICPR-2016-DupontMG #recognition
Detecting low-quality reference time series in stream recognition (MD, PFM, NG), pp. 2556–2561.
ICPRICPR-2016-EggertWZL
Saliency-guided selective magnification for company logo detection (CE, AW, DZ, RL), pp. 651–656.
ICPRICPR-2016-FengSZ #multi
Scene text detection based on multi-scale SWT and edge filtering (YF, YS, YZ0), pp. 645–650.
ICPRICPR-2016-GabrE #runtime
Enhancing the runtime of JUDOCA detector (MG, RE), pp. 669–674.
ICPRICPR-2016-GligorijevicPZ #community #graph #multi
Fusion and community detection in multi-layer graphs (VG, YP, SZ), pp. 1327–1332.
ICPRICPR-2016-GouWWWJ
Learning-by-synthesis for accurate eye detection (CG, YW0, KW, FYW0, QJ), pp. 3362–3367.
ICPRICPR-2016-GuoDFS #robust #using
A robust UAV landing site detection system using mid-level discriminative patches (XG, SD, CF, SS), pp. 1659–1664.
ICPRICPR-2016-HuangWL
Egocentric hand detection via region growth (SH, WW, KL), pp. 639–644.
ICPRICPR-2016-IshiiSIMSIN #classification #multi
Detection by classification of buildings in multispectral satellite imagery (TI, ESS, SI, YM, AS, HI0, RN), pp. 3344–3349.
ICPRICPR-2016-IwataOWK #recognition #retrieval #video
Recognition and transition frame detection of Arabic news captions for video retrieval (SI, WO, TW, FK), pp. 4005–4010.
ICPRICPR-2016-JeongKKN
Facial landmark detection based on an ensemble of local weighted regressors during real driving situation (MJ, JYK, BK, JYN), pp. 2198–2203.
ICPRICPR-2016-JordaoSS #approach #multi
A late fusion approach to combine multiple pedestrian detectors (AJ, JSdS, WRS), pp. 4250–4255.
ICPRICPR-2016-KerautretKDL16a
Centerline detection on partial mesh scans by confidence vote in accumulation map (BK, AK, IDR, JOL), pp. 1376–1381.
ICPRICPR-2016-KilicarslanZR
Pedestrain detection from motion (MK, JYZ, KR), pp. 1857–1863.
ICPRICPR-2016-KimP #approach #network #using
A shape preserving approach for salient object detection using convolutional neural networks (JK, VP), pp. 609–614.
ICPRICPR-2016-KondratevS #automation #constraints #geometry #image #using
Automatic detection of laser-induced structures in live cell fluorescent microscopy images using snakes with geometric constraints (AYK, DVS), pp. 331–336.
ICPRICPR-2016-KovvuriNS #modelling
Segment-based models for event detection and recounting (RK, RN, CGMS), pp. 3868–3873.
ICPRICPR-2016-KuranukiP
Minimal filtered channel features for pedestrian detection (YK, IP), pp. 681–686.
ICPRICPR-2016-LangenkamperN #architecture #classification #learning #online #realtime
COATL - a learning architecture for online real-time detection and classification assistance for environmental data (DL, TWN), pp. 597–602.
ICPRICPR-2016-LeHWO #performance
Temporally subsampled detection for accurate and efficient face tracking and diarization (NL, AH, DW0, JMO), pp. 1792–1797.
ICPRICPR-2016-LeZZLS #robust
Robust hand detection in Vehicles (THNL, CZ, YZ, KL, MS), pp. 573–578.
ICPRICPR-2016-LiH #approach #image #performance
A fast approach for traffic panel detection from natural scene images (ZML, LLH), pp. 579–584.
ICPRICPR-2016-LiKZYP #anti
Generalized face anti-spoofing by detecting pulse from face videos (XL, JK, GZ, PCY, MP), pp. 4244–4249.
ICPRICPR-2016-LuYLLZ
Edge chain detection by applying Helmholtz principle on gradient magnitude map (XL, JY, LL0, YL, WZ), pp. 1364–1369.
ICPRICPR-2016-MaioranoP
Granular trajectory based anomaly detection for surveillance (FM, AP), pp. 2066–2072.
ICPRICPR-2016-MinciulloC #analysis #automation
Fully automated shape analysis for detection of Osteoarthritis from lateral knee radiographs (LM, TFC), pp. 3787–3791.
ICPRICPR-2016-MollerNN16a #clustering #image #using
Change detection in marine observatory image streams using Bi-Domain Feature Clustering (TM, IN, TWN), pp. 793–798.
ICPRICPR-2016-MuthuswamyR
Salient object detection in tracking shots (KM, DR), pp. 1780–1785.
ICPRICPR-2016-NakamuraOB #process
Detection of groups in crowd considering their activity state (KN, TO, NB), pp. 277–282.
ICPRICPR-2016-Ohn-BarT #locality #modelling #multi
Detection and localization with multi-scale models (EOB, MMT), pp. 1382–1387.
ICPRICPR-2016-Ohn-BarT16a
To boost or not to boost? On the limits of boosted trees for object detection (EOB, MMT), pp. 3350–3355.
ICPRICPR-2016-OrtellsM #case study
Detection of duplicate identities in streams of biometric samples: A gait-based case study (JO, RAM), pp. 2983–2988.
ICPRICPR-2016-PalaniappanPAVF #using
Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering (KP, MP, HA, RV, JF, FB, AB, SS, EB, RMR, GS), pp. 2830–2835.
ICPRICPR-2016-PangN #3d #multi #network
3D point cloud object detection with multi-view convolutional neural network (GP, UN), pp. 585–590.
ICPRICPR-2016-PeiYKY #multi
Multi-orientation scene text detection with multi-information fusion (WYP, CY, LJK, XCY), pp. 657–662.
ICPRICPR-2016-Prado-RomeroA
Detecting contextual collective anomalies at a Glance (MAPR, AGA), pp. 2532–2537.
ICPRICPR-2016-QinSLPT #categorisation #recognition #video
Video scene text frames categorization for text detection and recognition (LQ, PS, TL, UP0, CLT), pp. 3886–3891.
ICPRICPR-2016-QuachtranHS #learning #using
Detection of Intracranial Hypertension using Deep Learning (BQ, RBH, FS), pp. 2491–2496.
ICPRICPR-2016-Ren0YZH0 #novel #recognition
A novel text structure feature extractor for Chinese scene text detection and recognition (XR, KC0, XY, YZ0, JH, JS0), pp. 3380–3385.
ICPRICPR-2016-Sahbi #image #interactive
Misalignment resilient CCA for interactive satellite image change detection (HS), pp. 3326–3331.
ICPRICPR-2016-SalaunMM16a #multi #robust
Multiscale line segment detector for robust and accurate SfM (YS, RM, PM), pp. 2000–2005.
ICPRICPR-2016-ShanXS #video
A new method for spatiotemporal textual saliency detection in video (SS, HX, FS), pp. 3240–3245.
ICPRICPR-2016-SidibeRM #multi #on the #using
On spatio-temporal saliency detection in videos using multilinear PCA (DS, MR, FM), pp. 1876–1880.
ICPRICPR-2016-SinghTSV
Detection of glare in night photography (MS, RKT, KS, AV), pp. 865–870.
ICPRICPR-2016-SuCHH #image #modelling #recognition #symmetry #using
Moment-based symmetry detection for scene modeling and recognition using RGB-D images (JYS, SCC, JWH, THH), pp. 3621–3626.
ICPRICPR-2016-SukS #analysis #retrieval
Solar flare retrieval, detection and analysis (TS, SS), pp. 1183–1188.
ICPRICPR-2016-SunBTTH #learning #locality #using
Tattoo detection and localization using region-based deep learning (ZS, JB, PT, MT, AH), pp. 3055–3060.
ICPRICPR-2016-SunHL #image #using
Context based face spoofing detection using active near-infrared images (XS0, LH0, CL), pp. 4262–4267.
ICPRICPR-2016-SwamiDKV #image #robust
A robust flash image shadow detection method and seamless recovery of shadow regions (KS, SKD, GK, AV), pp. 2836–2841.
ICPRICPR-2016-TakabeTKSMNY #consistency #using
Moving object detection from a point cloud using photometric and depth consistencies (AT, HT, NK, TS, TM, SN, NY), pp. 561–566.
ICPRICPR-2016-TakezawaHT #documentation #image #using
Camera-captured document image perspective distortion correction using vanishing point detection based on Radon transform (YT, MH, ST), pp. 3968–3974.
ICPRICPR-2016-TianMO #embedded #low cost #recognition #using
Spoofing detection for embedded face recognition system using a low cost stereo camera (GT, TM, YO), pp. 1017–1022.
ICPRICPR-2016-Triantafyllidou #incremental #learning #network
Face detection based on deep convolutional neural networks exploiting incremental facial part learning (DT, AT), pp. 3560–3565.
ICPRICPR-2016-VandoniHA #process
Crack detection based on a Marked Point Process model (JV, SLHM, EA), pp. 3933–3938.
ICPRICPR-2016-VoTPV #classification #modelling
Model-based classification and novelty detection for point pattern data (BNV, NQT, DQP, BTV), pp. 2622–2627.
ICPRICPR-2016-WangZQL #framework
RGB-D saliency detection under Bayesian framework (STW, ZZ, HBQ, BL), pp. 1881–1886.
ICPRICPR-2016-WangZYP #classification
Anomaly detection in crowded scenes by SL-HOF descriptor and foreground classification (SW, EZ, JY, FP), pp. 3398–3403.
ICPRICPR-2016-Yamada #network
Pedestrian detection with a resolution-aware convolutional network (KY), pp. 591–596.
ICPRICPR-2016-YamashitaFYF #multi #network #using
Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network (TY, HF, YY, HF), pp. 3500–3505.
ICPRICPR-2016-YangN #multi #network
A multi-scale cascade fully convolutional network face detector (ZY, RN), pp. 633–638.
ICPRICPR-2016-YangSZ #network
A joint facial point detection method of deep convolutional network and shape regression (TY, CS, NZ), pp. 543–548.
ICPRICPR-2016-YunLYKC
Attention-inspired moving object detection in monocular dashcam videos (KY, JL, SY, SWK, JYC0), pp. 2706–2711.
ICPRICPR-2016-ZayeneHTMHIA #contest #recognition #video
ICPR2016 contest on Arabic Text detection and Recognition in video frames - AcTiVComp (OZ, NH, SMT, SBM, JH, RI, NEBA), pp. 187–191.
ICPRICPR-2016-ZemeneTPP #clustering #set #using
Simultaneous clustering and outlier detection using dominant sets (EZ, YTT, AP0, MP), pp. 2325–2330.
ICPRICPR-2016-ZhangHMCP #3d #analysis #image
Face spoofing detection based on 3D lighting environment analysis of image pair (XZ, XH, MM, CC0, SP), pp. 2995–3000.
ICPRICPR-2016-ZhangXLPQ #image #robust
Robust road detection from a single image (JZ, SYX, KL, HP, AKQ), pp. 859–864.
ICPRICPR-2016-ZhangZ #effectiveness #video
Effective real-scenario Video Copy Detection (YZ, XZ), pp. 3951–3956.
ICPRICPR-2016-ZhangZZB #symmetry
Symmetry-based object proposal for text detection (XZ, ZZ, CZ, XB), pp. 709–714.
KDDKDD-2016-BurgessGKWWHG #reuse
The Legislative Influence Detector: Finding Text Reuse in State Legislation (MB, EG, JKS, JW, DW, LH, RG), pp. 57–66.
KDDKDD-2016-DuLZHX #scalability
Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records (BD, CL, WZ, ZH, HX), pp. 87–96.
KDDKDD-2016-HeLMCSY #community #composition
Joint Community and Structural Hole Spanner Detection via Harmonic Modularity (LH0, CTL, JM, JC, LS, PSY), pp. 875–884.
KDDKDD-2016-HuVQ #performance
Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detection (HH, JVG, GJQ), pp. 905–914.
KDDKDD-2016-ManzoorMA #graph #performance #streaming
Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs (EAM, SMM, LA), pp. 1035–1044.
KDDKDD-2016-MelnykBMO #markov #modelling
Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems (IM, AB, BLM, NCO), pp. 1065–1074.
KDDKDD-2016-NandiMADB #control flow #execution #graph #mining #using
Anomaly Detection Using Program Control Flow Graph Mining From Execution Logs (AN, AM, SA, GBD, SB), pp. 215–224.
KDDKDD-2016-PaparrizosWH
Detecting Devastating Diseases in Search Logs (JP, RWW, EH), pp. 559–568.
KDDKDD-2016-ReisFMB #incremental #online #performance #using
Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test (DMdR, PAF, SM, GEAPAB), pp. 1545–1554.
KDDKDD-2016-XuYYXZ #network
Talent Circle Detection in Job Transition Networks (HX, ZY0, JY, HX, HZ), pp. 655–664.
KDDKDD-2016-ZhaoATBDBKD #approach #parametricity #strict #using
A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines (YZ, BA, TT, KEB, JGD, CEB, RK, OD), pp. 373–382.
ICMTICMT-2016-StrueberPA #clone detection #graph #model transformation #transformation language
Clone Detection for Graph-Based Model Transformation Languages (DS, JP, VA), pp. 191–206.
MoDELSMoDELS-2016-DeVriesC #analysis #automation #requirements
Automatic detection of incomplete requirements via symbolic analysis (BD, BHCC), pp. 385–395.
OOPSLAOOPSLA-2016-HuangR #concurrent #precise
Precise and maximal race detection from incomplete traces (JH0, AKR), pp. 462–476.
AdaEuropeAdaEurope-2016-LaaliLHSS #fault #online #testing #using
Test Case Prioritization Using Online Fault Detection Information (ML, HL, MH, MS, HWS), pp. 78–93.
PLDIPLDI-2016-EizenbergHPD #named #online #virtual machine
Remix: online detection and repair of cache contention for the JVM (AE, SH, GP, JD), pp. 251–265.
ASEASE-2016-ChengPJZYZ #mining
Mining revision histories to detect cross-language clones without intermediates (XC, ZP, LJ, HZ, HY, JZ), pp. 696–701.
ASEASE-2016-DegiovanniRACA #satisfiability
Goal-conflict detection based on temporal satisfiability checking (RD, NR, DA, PFC, NA), pp. 507–518.
ASEASE-2016-DemuthRE #consistency #developer #multi #nondeterminism #performance
Efficient detection of inconsistencies in a multi-developer engineering environment (AD, MRE, AE), pp. 590–601.
ASEASE-2016-LinZCZ #api #java #named
LockPeeker: detecting latent locks in Java APIs (ZL, HZ, YC, JZ), pp. 368–378.
ASEASE-2016-PeldszusKLS #design #evolution #incremental #multi #object-oriented #pattern matching #source code #using
Continuous detection of design flaws in evolving object-oriented programs using incremental multi-pattern matching (SP, GK, ML, SS), pp. 578–589.
ASEASE-2016-VojdaniARSVV #approach #concurrent
Static race detection for device drivers: the Goblint approach (VV, KA, VR, HS, VV, RV), pp. 391–402.
ASEASE-2016-WangCMT #debugging #modelling #n-gram #named
Bugram: bug detection with n-gram language models (SW, DC, DMA, LT), pp. 708–719.
ASEASE-2016-WeiLC #android
Taming Android fragmentation: characterizing and detecting compatibility issues for Android apps (LW, YL, SCC), pp. 226–237.
ASEASE-2016-WhiteTVP #clone detection #learning
Deep learning code fragments for code clone detection (MW, MT, CV, DP), pp. 87–98.
ASEASE-2016-WuLDYZ #android #effectiveness #named #static analysis
Relda2: an effective static analysis tool for resource leak detection in Android apps (TW, JL, XD, JY, JZ), pp. 762–767.
FSEFSE-2016-CaiZCL #concurrent
A deployable sampling strategy for data race detection (YC0, JZ, LC, JL), pp. 810–821.
FSEFSE-2016-DhokR #generative #testing
Directed test generation to detect loop inefficiencies (MD, MKR), pp. 895–907.
FSEFSE-2016-DouCGXXW #smell #spreadsheet
Detecting table clones and smells in spreadsheets (WD, SCC, CG, CX0, LX, JW0), pp. 787–798.
FSEFSE-2016-GyoriLSLM #api #debugging #java #named #specification
NonDex: a tool for detecting and debugging wrong assumptions on Java API specifications (AG, BL, AS, OL, DM), pp. 993–997.
FSEFSE-2016-HuangZT #analysis #correlation
Detecting sensitive data disclosure via bi-directional text correlation analysis (JH0, XZ0, LT0), pp. 169–180.
FSEFSE-2016-Kellogg #debugging #generative #testing
Combining bug detection and test case generation (MK), pp. 1124–1126.
FSEFSE-2016-LiuXCT #android #comprehension
Understanding and detecting wake lock misuses for Android applications (YL, CX0, SCC, VT), pp. 396–409.
FSEFSE-2016-SuBHSKJ
Code relatives: detecting similarly behaving software (FHS, JB0, KH, SS, GEK, TJ), pp. 702–714.
FSEFSE-2016-WangZHXZ0 #fault #float
Detecting and fixing precision-specific operations for measuring floating-point errors (RW, DZ, XH, YX, LZ0, GH0), pp. 619–630.
FSEFSE-2016-Xu0ZX #analysis #debugging #predict #python
Python predictive analysis for bug detection (ZX, PL0, XZ0, BX), pp. 121–132.
FSEFSE-2016-YogaNG #concurrent #parallel #source code
Parallel data race detection for task parallel programs with locks (AY, SN, AG), pp. 833–845.
FSEFSE-2016-ZhanH #concurrent #ide #named
ECHO: instantaneous in situ race detection in the IDE (SZ, JH0), pp. 775–786.
FSEFSE-2016-ZhouW #analysis #api #web
API deprecation: a retrospective analysis and detection method for code examples on the web (JZ, RJW), pp. 266–277.
ICSE-2016-CheungCLX #automation #clustering #named #smell #spreadsheet #using
CUSTODES: automatic spreadsheet cell clustering and smell detection using strong and weak features (SCC, WC, YL, CX0), pp. 464–475.
ICSE-2016-LiuCB #dynamic analysis #fault #named #performance #precise
DoubleTake: fast and precise error detection via evidence-based dynamic analysis (TL, CC, EDB), pp. 911–922.
ICSE-2016-SajnaniSSRL #clone detection #named #scalability
SourcererCC: scaling code clone detection to big-code (HS, VS, JS, CKR, CVL), pp. 1157–1168.
ICSE-2016-SlavinWHHKBBN #android #framework #policy #privacy #towards
Toward a framework for detecting privacy policy violations in android application code (RS, XW, MBH, JH, RK, JB, TDB, JN0), pp. 25–36.
ASPLOSASPLOS-2016-ZhangLJ #concurrent #hardware #memory management #named #performance #transaction #using
TxRace: Efficient Data Race Detection Using Commodity Hardware Transactional Memory (TZ, DL, CJ), pp. 159–173.
CASECASE-2016-FernandesYDS #privacy #smarttech #social
Detection of privacy-sensitive situations for social robots in smart homes (FEFJ, GY, HMD, WS), pp. 727–732.
CASECASE-2016-GonzalezF #online #process
MEMS accelerometer-based system for inexpensive online CNC milling process chatter detection (DMOG, JCEF), pp. 978–983.
CASECASE-2016-LiZHS #fault #identification
Fusing system configuration information for building cooling plant Fault Detection and severity level identification (DL, YZ, GH, CJS), pp. 1319–1325.
CASECASE-2016-SyJDD #clustering #graph
Graph-based clustering for detecting frequent patterns in event log data (ES, SAJ, AD, YD0), pp. 972–977.
CASECASE-2016-WangG #fault #online
On-line fault detection and diagnosis for chiller system (PW, RG), pp. 1313–1318.
CCCC-2016-NgY #concurrent #graph #synthesis
Static deadlock detection for concurrent go by global session graph synthesis (NN, NY), pp. 174–184.
CCCC-2016-RodriguesPA #representation
Sparse representation of implicit flows with applications to side-channel detection (BR, FMQP, DFA), pp. 110–120.
CCCC-2016-WuYR #android #energy #fault #static analysis
Static detection of energy defect patterns in Android applications (HW, SY, AR), pp. 185–195.
CGOCGO-2016-LiuL #effectiveness #named
Cheetah: detecting false sharing efficiently and effectively (TL, XL0), pp. 1–11.
CGOCGO-2016-TymburibaMP #branch
Inference of peak density of indirect branches to detect ROP attacks (MT, REAM, FMQP), pp. 150–159.
FASEFASE-2016-WeckesserLSRS #automation #bound #exclamation #feature model #modelling
Mind the Gap! Automated Anomaly Detection for Potentially Unbounded Cardinality-Based Feature Models (MW, ML, TS, BR, AS), pp. 158–175.
ICSTICST-2016-AlameerMH #web
Detecting and Localizing Internationalization Presentation Failures in Web Applications (AA, SM, WGJH), pp. 202–212.
ICSTICST-2016-ArcainiGV #automation #consistency #fault #feature model #modelling
Automatic Detection and Removal of Conformance Faults in Feature Models (PA, AG, PV), pp. 102–112.
ICSTICST-2016-ShiGLM #implementation #nondeterminism #specification
Detecting Assumptions on Deterministic Implementations of Non-deterministic Specifications (AS, AG, OL, DM), pp. 80–90.
ICSTICST-2016-YeZWL #debugging #empirical
An Empirical Study on Detecting and Fixing Buffer Overflow Bugs (TY, LZ, LW, XL), pp. 91–101.
ECSAECSA-2015-HansenM #automation #community #composition #using
(Automated) Software Modularization Using Community Detection (KMH, KM), pp. 95–102.
WICSAWICSA-2015-BangM #design #higher-order
Proactive Detection of Higher-Order Software Design Conflicts (JYB, NM), pp. 155–164.
WICSAWICSA-2015-MoCKX #architecture #automation #smell
Hotspot Patterns: The Formal Definition and Automatic Detection of Architecture Smells (RM, YC, RK, LX), pp. 51–60.
DocEngDocEng-2015-BarabucciBIMM #documentation #modelling #visualisation
Document Changes: Modeling, Detection, Storage and Visualization (DChanges 2015) (GB, UMB, ADI, SM, EVM), pp. 227–228.
DocEngDocEng-2015-WuS #evolution
Detecting XSLT Rules Affected by Schema Evolution (YW, NS), pp. 143–146.
DRRDRR-2015-DeMDC #documentation #image
Detection of electrical circuit elements from documents images (PD, SM, AKD, BC).
HTHT-2015-KumarDCC #social #social media
Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides (MK, MD, GC, MDC), pp. 85–94.
HTHT-2015-SchulzSS
Small-Scale Incident Detection based on Microposts (AS, BS, TS), pp. 3–12.
SIGMODSIGMOD-2015-YanZHSMZM #distributed #using
Distributed Outlier Detection using Compressive Sensing (YY, JZ, BH, XS, JM, ZZ, TM), pp. 3–16.
TPDLTPDL-2015-AlNoamanyWN #topic #web
Detecting Off-Topic Pages in Web Archives (YA, MCW, MLN), pp. 225–237.
VLDBVLDB-2015-ChuWLHP #clustering #named #scalability
ALID: Scalable Dominant Cluster Detection (LC, SW, SL, QH, JP), pp. 826–837.
VLDBVLDB-2015-PotharajuCHNWZJ #automation #knowledge base #named
ConfSeer: Leveraging Customer Support Knowledge Bases for Automated Misconfiguration Detection (RP, JC, LH, CNR, MW, LZ, NJ), pp. 1828–1839.
VLDBVLDB-2015-WangWYZ #benchmark #community #framework #metric #network #social
Community Detection in Social Networks: An In-depth Benchmarking Study with a Procedure-Oriented Framework (MW, CW, JXY, JZ), pp. 998–1009.
VLDBVLDB-2015-WuJLZ #community #robust
Robust Local Community Detection: On Free Rider Effect and Its Elimination (YW, RJ, JL, XZ), pp. 798–809.
EDMEDM-2015-ChenBD #learning
Video-Based Affect Detection in Noninteractive Learning Environments (YC, NB, SKD), pp. 440–443.
EDMEDM-2015-Garcia-SaizZ #consistency #performance
Detection of Learners with a Performance Inconsistent with Their Effort (DGS, MEZ), pp. 606–607.
EDMEDM-2015-JohnPM #graph #problem #question #semantics #similarity #word
Semantic Similarity Graphs of Mathematics Word Problems: Can Terminology Detection Help? (RJLJ, RJP, TSM), pp. 452–455.
EDMEDM-2015-KaiPBBDOSV #comparison #physics
A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground (SK, LP, RSB, NB, SKD, JO, VS, MV), pp. 77–84.
EDMEDM-2015-KoprinskaSY #student
Students at Risk: Detection and Remediation (IK, JS, KY), pp. 512–515.
EDMEDM-2015-MillsD #online #realtime #towards
Toward a Real-time (Day) Dreamcatcher: Detecting Mind Wandering Episodes During Online Reading (CM, SKD), pp. 69–76.
EDMEDM-2015-PaquetteRBMLDBS #comparison #multi
Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection (LP, JPR, RSB, BWM, JCL, JD, KWB, RAS, VG), pp. 93–100.
SCAMSCAM-J-2013-CeruloPBCC15 #markov #named
Irish: A Hidden Markov Model to detect coded information islands in free text (LC, MDP, AB, MC, GC), pp. 26–43.
ICPCICPC-2015-BenomarASPS #development #evolution #process
Detection of software evolution phases based on development activities (OB, HA, HAS, PP, MAS), pp. 15–24.
ICPCICPC-2015-SohTAW #android #user interface
Detecting clones in Android applications through analyzing user interfaces (CS, HBKT, YLA, LW), pp. 163–173.
ICSMEICSME-2015-Aniche #development #smell #web
Detection strategies of smells in web software development (MFA), pp. 598–601.
ICSMEICSME-2015-LuciaDGR #automation #behaviour #design pattern #dynamic analysis #towards
Towards automating dynamic analysis for behavioral design pattern detection (ADL, VD, CG, MR), pp. 161–170.
ICSMEICSME-2015-LuciaDGRP #behaviour #design pattern #named
ePadEvo: A tool for the detection of behavioral design patterns (ADL, VD, CG, MR, CP), pp. 327–329.
ICSMEICSME-2015-PoluriR #concurrent
Deterministic dynamic race detection across program versions (SVP, MKR), pp. 181–190.
ICSMEICSME-2015-SvajlenkoR #clone detection #tool support
Evaluating clone detection tools with BigCloneBench (JS, CKR), pp. 131–140.
ICSMEICSME-2015-VasquezVLP #android #developer #how #performance
How developers detect and fix performance bottlenecks in Android apps (MLV, CV, QL, DP), pp. 352–361.
MSRMSR-2015-SinhaSDPM #repository #source code
Detecting and Mitigating Secret-Key Leaks in Source Code Repositories (VSS, DS, PD, RP, SM), pp. 396–400.
MSRMSR-2015-WuMKGI #consistency #nondeterminism #open source #scalability
A Method to Detect License Inconsistencies in Large-Scale Open Source Projects (YW, YM, TK, DMG, KI), pp. 324–333.
SANERSANER-2015-AggarwalRTHGS #debugging #re-engineering
Detecting duplicate bug reports with software engineering domain knowledge (KA, TR, FT, AH, RG, ES), pp. 211–220.
SANERSANER-2015-HeroldEBCC #modelling
Detection of violation causes in reflexion models (SH, ME, JB, SC, MÓC), pp. 565–569.
SANERSANER-2015-Keivanloo0Z #clone detection #java #repository #scalability
Threshold-free code clone detection for a large-scale heterogeneous Java repository (IK, FZ, YZ), pp. 201–210.
SANERSANER-2015-SassoML #problem
Misery loves company: CrowdStacking traces to aid problem detection (TDS, AM, ML), pp. 131–140.
SANERSANER-2015-YangMT #design pattern #quality
Measuring the quality of design pattern detection results (SY, AM, VT), pp. 53–62.
SCAMSCAM-2015-FenskeSMS #smell #variability
When code smells twice as much: Metric-based detection of variability-aware code smells (WF, SS, DM, GS), pp. 171–180.
SCAMSCAM-2015-NicolayNRM #javascript
Detecting function purity in JavaScript (JN, CN, CDR, WDM), pp. 101–110.
FMFM-2015-BagheriKMJ #android #bound #design #protocol #verification
Detection of Design Flaws in the Android Permission Protocol Through Bounded Verification (HB, EK, SM, DJ), pp. 73–89.
FDGFDG-2015-ReuterGS #automation #game studies #multi #petri net #using
Detecting structural deadlocks in Multiplayer Games using automatically generated Petri Nets (CR0, SG0, RS).
CoGVS-Games-2015-Cejka #using
Continuous Collision Detection Using Tetrahedral Structures (JC), pp. 1–4.
GaMGaM-2015-KulcsarDLVS #graph transformation
Improved Conflict Detection for Graph Transformation with Attributes (GK, FD, ML, GV, AS), pp. 97–112.
GaMGaM-2015-RadwanH #refactoring #smell
Detecting and Refactoring Operational Smells within the Domain Name System (MR, RH), pp. 113–128.
GaMGaM-2015-Wijs #confluence #lts
Confluence Detection for Transformations of Labelled Transition Systems (AW), pp. 1–15.
CHICHI-2015-GoelZVP #flexibility #gesture #named #using
Tongue-in-Cheek: Using Wireless Signals to Enable Non-Intrusive and Flexible Facial Gestures Detection (MG, CZ, RV, SNP), pp. 255–258.
CHICHI-2015-HuberLP
Detecting User Intention at Public Displays from Foot Positions (BH, JHL, JHP), pp. 3899–3902.
CHICHI-2015-KimCD #interactive #monitoring
Sensors Know When to Interrupt You in the Car: Detecting Driver Interruptibility Through Monitoring of Peripheral Interactions (SK, JC, AKD), pp. 487–496.
CHICHI-2015-LiYS #interactive #named
IDSense: A Human Object Interaction Detection System Based on Passive UHF RFID (HL, CY, APS), pp. 2555–2564.
CHICHI-2015-ManciniHAG #interface #multi
Re-Centering Multispecies Practices: A Canine Interface for Cancer Detection Dogs (CM, RH, BA, CG), pp. 2673–2682.
CHICHI-2015-OhCKL #documentation #named
ScanShot: Detecting Document Capture Moments and Correcting Device Orientation (JO, WC, JK, UL), pp. 953–956.
CSCWCSCW-2015-AzariaRK
An Agent for Deception Detection in Discussion Based Environments (AA, AR, SK), pp. 218–227.
CSCWCSCW-2015-FreitasD15a #multi #using
Using Multiple Contexts to Detect and Form Opportunistic Groups (AAdF, AKD), pp. 1612–1621.
HCIHCI-IT-2015-BrahnamRNSB #design
Design of a Bullying Detection/Alert System for School-Wide Intervention (SB, JJR, LN, CLS, SLB), pp. 695–705.
HCIHCI-IT-2015-FukumotoTE #using
Improvement of Accuracy in Remote Gaze Detection for User Wearing Eyeglasses Using Relative Position Between Centers of Pupil and Corneal Sphere (KF, TT, YE), pp. 13–23.
HCIHCI-UC-2015-SanchezA #automation #interface #internet
Automatic Deformations Detection in Internet Interfaces: ADDII (LS, PTAJ), pp. 43–53.
HCIHIMI-IKC-2015-SotokawaMNSI #evaluation
Driving Evaluation of Mild Unilateral Spatial Neglect Patients-Three High-Risk Cases Undetected by BIT After Recovery (TS, TM, JN, YS, MI), pp. 253–261.
HCILCT-2015-Ai #automation #fault #feedback #generative
Automatic Pronunciation Error Detection and Feedback Generation for CALL Applications (RA), pp. 175–186.
HCILCT-2015-CastilloDSTC #student
Model for Detecting Student Difficulties in Solving Formative Assessments (CC, NDD, AS, VT, DAOC), pp. 199–207.
HCISCSM-2015-Kanawati #community #network
Ensemble Selection for Community Detection in Complex Networks (RK), pp. 138–147.
CAiSECAiSE-2015-KhelladiHBRG #evolution #metamodelling
Detecting Complex Changes During Metamodel Evolution (DEK, RH, RB, JR, MPG), pp. 263–278.
CAiSECAiSE-2015-WeilerGS #performance #runtime #twitter
Run-Time and Task-Based Performance of Event Detection Techniques for Twitter (AW, MG, MHS), pp. 35–49.
ICEISICEIS-v1-2015-BedoBOCCRTT #effectiveness #image #performance #social #social media
Techniques for Effective and Efficient Fire Detection from Social Media Images (MVNB, GB, WDO, MTC, AFC, JFRJ, AJMT, CTJ), pp. 34–45.
ICEISICEIS-v1-2015-Xylogiannopoulos #roadmap
Discretization Method for the Detection of Local Extrema and Trends in Non-discrete Time Series (KFX, PK, RA), pp. 346–352.
ICEISICEIS-v2-2015-AlahmadiLN #internet #process #profiling #using
Using Internet Activity Profiling for Insider-threat Detection (BAA, PAL, JRCN), pp. 709–720.
ICEISICEIS-v2-2015-CostaMAO #automation #consistency #named #nondeterminism
Fixture — A Tool for Automatic Inconsistencies Detection in Context-aware SPL (PAdSC, FGM, RMdCA, TO), pp. 114–125.
CIKMCIKM-2015-CeroniGF #automation
Improving Event Detection by Automatically Assessing Validity of Event Occurrence in Text (AC, UKG, MF), pp. 1815–1818.
CIKMCIKM-2015-ChaeKCK #api #named
DAAV: Dynamic API Authority Vectors for Detecting Software Theft (DKC, SWK, SjC, YK), pp. 1819–1822.
CIKMCIKM-2015-DoanRSML #profiling
Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment (MTD, SR, MS, MM, CL), pp. 1827–1830.
CIKMCIKM-2015-GribelBA #approach #clustering
A Clustering-based Approach to Detect Probable Outcomes of Lawsuits (DLG, MGdB, LGA), pp. 1831–1834.
CIKMCIKM-2015-HassanLT
Detecting Check-worthy Factual Claims in Presidential Debates (NH, CL, MT), pp. 1835–1838.
CIKMCIKM-2015-KhudaBukhshBW #case study #classification #effectiveness #query #self
Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection (ARK, PNB, RWW), pp. 1735–1738.
CIKMCIKM-2015-MaGWLW #information management #microblog #social #using
Detect Rumors Using Time Series of Social Context Information on Microblogging Websites (JM, WG0, ZW, YL, KFW), pp. 1751–1754.
CIKMCIKM-2015-MiyauchiK #algorithm #community #network #novel #quality #what
What Is a Network Community?: A Novel Quality Function and Detection Algorithms (AM0, YK), pp. 1471–1480.
CIKMCIKM-2015-WuSHY #microblog #social
Social Spammer and Spam Message Co-Detection in Microblogging with Social Context Regularization (FW, JS, YH, ZY), pp. 1601–1610.
CIKMCIKM-2015-ZafaraniL
10 Bits of Surprise: Detecting Malicious Users with Minimum Information (RZ, HL0), pp. 423–431.
ECIRECIR-2015-BuitinckATR #multi
Multi-emotion Detection in User-Generated Reviews (LB, JvA, ET, MdR), pp. 43–48.
ECIRECIR-2015-CaoC #analysis #behaviour #social #social media
Detecting Spam URLs in Social Media via Behavioral Analysis (CC, JC), pp. 703–714.
ECIRECIR-2015-Dori-HacohenA #automation #web
Automated Controversy Detection on the Web (SDH, JA), pp. 423–434.
ECIRECIR-2015-HagenPBS #classification #sentiment #twitter #using
Twitter Sentiment Detection via Ensemble Classification Using Averaged Confidence Scores (MH, MP, MB, BS), pp. 741–754.
ECIRECIR-2015-LiangCC #approach #social #social media
A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media (YL, JC, CC), pp. 233–244.
ECIRECIR-2015-LimCLK #community #constraints #using
Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints (KHL, JC, CL, SK), pp. 489–494.
ECIRECIR-2015-YangLW
Detecting the Eureka Effect in Complex Search (HY, JL, CW), pp. 734–740.
ICMLICML-2015-AvronH #community #personalisation #rank #using
Community Detection Using Time-Dependent Personalized PageRank (HA, LH), pp. 1795–1803.
ICMLICML-2015-ChangYXY #semantics #using
Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM (XC, YY, EPX, YY), pp. 1348–1357.
ICMLICML-2015-GornitzBK #markov
Hidden Markov Anomaly Detection (NG, MLB, MK), pp. 1833–1842.
ICMLICML-2015-HockingRB #learning #named #segmentation
PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data (TH, GR, GB), pp. 324–332.
KDDKDD-2015-BeutelAF #behaviour #graph #modelling #predict
Graph-Based User Behavior Modeling: From Prediction to Fraud Detection (AB, LA, CF), pp. 2309–2310.
KDDKDD-2015-FakhraeiFSG #evolution #multi #network #social
Collective Spammer Detection in Evolving Multi-Relational Social Networks (SF, JRF, MVSS, LG), pp. 1769–1778.
KDDKDD-2015-HayashiMTK #realtime #topic #twitter
Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering (KH, TM, MT, KiK), pp. 417–426.
KDDKDD-2015-LaptevAF #automation #framework #scalability
Generic and Scalable Framework for Automated Time-series Anomaly Detection (NL, SA, IF), pp. 1939–1947.
KDDKDD-2015-LiuC #challenge #social #social media
Social Media Anomaly Detection: Challenges and Solutions (YL, SC), pp. 2317–2318.
KDDKDD-2015-MitzenmacherPPT #clique #network #scalability
Scalable Large Near-Clique Detection in Large-Scale Networks via Sampling (MM, JP, RP, CET, SCX), pp. 815–824.
KDDKDD-2015-NairRKBSKHD #learning #monitoring
Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues (VN, AR, SK, VB, SS, SSK, SH, SD), pp. 2029–2038.
KDDKDD-2015-QahtanAWZ #data type #framework #multi
A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams (AAQ, BA, SW, XZ), pp. 935–944.
KDDKDD-2015-RayanaA #metadata #network #overview
Collective Opinion Spam Detection: Bridging Review Networks and Metadata (SR, LA), pp. 985–994.
KDDKDD-2015-ShaoHYZ #community #distance
Community Detection based on Distance Dynamics (JS, ZH, QY, TZ), pp. 1075–1084.
KDDKDD-2015-TsengYHKC #framework #named
FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection (VST, JCY, CWH, YK, KTC), pp. 2157–2166.
SEKESEKE-2015-HughesDH #streaming
Detecting Reporting Anomalies in Streaming Sensing Systems (SH, YD, JOH), pp. 427–432.
SEKESEKE-2015-LinYX #automation #generative #parametricity #testing
Automatic Detection of Parameter Shielding for Test Case Generation (JL, JY, JX), pp. 571–574.
SEKESEKE-2015-SaharAA #approach #case study #image #modelling #prototype
A Case Study Approach: Iterative Prototyping Model Based Detection of Macular Edema in Retinal OCT Images (SS, SA, MUA), pp. 266–271.
SEKESEKE-2015-SalehianF #embedded #monitoring #realtime
Embedded Real Time Blink Detection System for Driver Fatigue Monitoring (SS, BF), pp. 188–194.
SEKESEKE-2015-SunSWZ #analysis #data flow #fault #integer #using
Improving the Accuracy of Integer Signedness Error Detection Using Data Flow Analysis (HS, CS, YW, QZ), pp. 601–606.
SEKESEKE-2015-WanderleyP #folksonomy #learning
Learning Folksonomies for Trend Detection in Task-Oriented Dialogues (GW, ECP), pp. 483–488.
SEKESEKE-2015-WangSZ #execution #symbolic computation
Statically-Guided Fork-based Symbolic Execution for Vulnerability Detection (YW, HS, QZ), pp. 536–539.
SIGIRSIGIR-2015-ChenC #web
Opinion Spammer Detection in Web Forum (YRC, HHC), pp. 759–762.
SIGIRSIGIR-2015-DijkTR #community #topic
Early Detection of Topical Expertise in Community Question Answering (DvD, MT, MdR), pp. 995–998.
SIGIRSIGIR-2015-Dori-Hacohen #analysis
Controversy Detection and Stance Analysis (SDH), p. 1057.
SIGIRSIGIR-2015-HeindorfPSE #analysis #corpus #knowledge base #towards
Towards Vandalism Detection in Knowledge Bases: Corpus Construction and Analysis (SH, MP, BS, GE), pp. 831–834.
MoDELSMoDELS-2015-StephanC #clone detection #identification #using
Identification of Simulink model antipattern instances using model clone detection (MS, JRC), pp. 276–285.
SPLCSPLC-2015-SoutoGdMKB #debugging #feature model #modelling #performance #product line
Faster bug detection for software product lines with incomplete feature models (SS, DG, Md, DM, SK, DSB), pp. 151–160.
ECOOPECOOP-2015-FangDX #named #performance #problem
PerfBlower: Quickly Detecting Memory-Related Performance Problems via Amplification (LF, LD, G(X), pp. 296–320.
OOPSLAOOPSLA-2015-AchourR #approximate
Approximate computation with outlier detection in Topaz (SA, MCR), pp. 711–730.
OOPSLAOOPSLA-2015-BielikRV #android #concurrent #scalability
Scalable race detection for Android applications (PB, VR, MTV), pp. 332–348.
OOPSLAOOPSLA-2015-HagueLO #approach #css #html
Detecting redundant CSS rules in HTML5 applications: a tree rewriting approach (MH, AWL, CHLO), pp. 1–19.
PLDIPLDI-2015-OlivoDL #debugging #performance #static analysis #traversal
Static detection of asymptotic performance bugs in collection traversals (OO, ID, CL), pp. 369–378.
PPDPPPDP-2015-StievenartNMR #abstract interpretation #concurrent #debugging #higher-order #source code
Detecting concurrency bugs in higher-order programs through abstract interpretation (QS, JN, WDM, CDR), pp. 232–243.
REFSQREFSQ-2015-DaunWP #embedded #requirements
Detecting and Correcting Outdated Requirements in Function-Centered Engineering of Embedded Systems (MD, TW, KP), pp. 65–80.
ASEASE-2015-KhatchadourianR #using
Detecting Broken Pointcuts Using Structural Commonality and Degree of Interest (N) (RK, AR, HM, TW), pp. 641–646.
ASEASE-2015-WalshMK #automation #fault #layout #web
Automatic Detection of Potential Layout Faults Following Changes to Responsive Web Pages (N) (TAW, PM, GMK), pp. 709–714.
ASEASE-2015-WilcoxFFF #array #concurrent #precise
Array Shadow State Compression for Precise Dynamic Race Detection (T) (JRW, PF, CF, SNF), pp. 155–165.
ESEC-FSEESEC-FSE-2015-BellKMD #dependence #java #performance
Efficient dependency detection for safe Java test acceleration (JB, GEK, EM, MD), pp. 770–781.
ESEC-FSEESEC-FSE-2015-CaiC #effectiveness #java #precise #source code
Effective and precise dynamic detection of hidden races for Java programs (YC, LC), pp. 450–461.
ESEC-FSEESEC-FSE-2015-MutluTL #javascript #matter
Detecting JavaScript races that matter (EM, ST, BL), pp. 381–392.
ESEC-FSEESEC-FSE-2015-NguyenNDKN #execution #semantics #variability
Detecting semantic merge conflicts with variability-aware execution (HVN, MHN, SCD, CK, TNN), pp. 926–929.
ESEC-FSEESEC-FSE-2015-RajagopalanH #concurrent #named
RDIT: race detection from incomplete traces (AKR, JH), pp. 914–917.
ESEC-FSEESEC-FSE-2015-SafiSHM
Detecting event anomalies in event-based systems (GS, AS, WGJH, NM), pp. 25–37.
ESEC-FSEESEC-FSE-2015-SamakR #testing
Synthesizing tests for detecting atomicity violations (MS, MKR), pp. 131–142.
ICSEICSE-v1-2015-LiBBKTARBOM #android #component #named #privacy
IccTA: Detecting Inter-Component Privacy Leaks in Android Apps (LL, AB, TFB, JK, YLT, SA, SR, EB, DO, PM), pp. 280–291.
ICSEICSE-v1-2015-NistorCRL #named #performance #problem
CARAMEL: Detecting and Fixing Performance Problems That Have Non-Intrusive Fixes (AN, PCC, CR, SL), pp. 902–912.
ICSEICSE-v1-2015-OcarizaP0 #consistency #javascript #mvc #nondeterminism
Detecting Inconsistencies in JavaScript MVC Applications (FSOJ, KP, AM), pp. 325–335.
ICSEICSE-v1-2015-PapadakisJHT #compilation #effectiveness #empirical #equivalence #performance #scalability
Trivial Compiler Equivalence: A Large Scale Empirical Study of a Simple, Fast and Effective Equivalent Mutant Detection Technique (MP, YJ, MH, YLT), pp. 936–946.
ICSEICSE-v1-2015-PastoreM #named
ZoomIn: Discovering Failures by Detecting Wrong Assertions (FP, LM), pp. 66–76.
ICSEICSE-v1-2015-ZouWXZSM #algorithm #float #search-based
A Genetic Algorithm for Detecting Significant Floating-Point Inaccuracies (DZ, RW, YX, LZ, ZS, HM), pp. 529–539.
ICSEICSE-v2-2015-FooJAHZF #automation #case study #industrial #performance
An Industrial Case Study on the Automated Detection of Performance Regressions in Heterogeneous Environments (KCF, ZMJ, BA, AEH, YZ, PF), pp. 159–168.
ICSEICSE-v2-2015-Hecht #android #approach
An Approach to Detect Android Antipatterns (GH), pp. 766–768.
ICSEICSE-v2-2015-HerzigN #empirical #using
Empirically Detecting False Test Alarms Using Association Rules (KH, NN), pp. 39–48.
ICSEICSE-v2-2015-HollandDKMR #android #novel #security
Security Toolbox for Detecting Novel and Sophisticated Android Malware (BH, TD, SK, JM, NR), pp. 733–736.
ICSEICSE-v2-2015-Palomba #analysis #smell
Textual Analysis for Code Smell Detection (FP), pp. 769–771.
SACSAC-2015-AlvesMM #case study #fault #impact analysis #refactoring #test coverage
Test coverage and impact analysis for detecting refactoring faults: a study on the extract method refactoring (ELGA, TM, PDdLM), pp. 1534–1540.
SACSAC-2015-AttiaTHKTC
On-device anomaly detection for resource-limited systems (MBA, CT, AHL, BK, VT, MC), pp. 548–554.
SACSAC-2015-AwadBESAS #anti #approach #process #runtime
Runtime detection of business process compliance violations: an approach based on anti patterns (AA, AB, AE, RES, AA, SS), pp. 1203–1210.
SACSAC-2015-BezuBRVVF #component #multi #similarity #web
Multi-component similarity method for web product duplicate detection (RvB, SB, RR, JV, DV, FF), pp. 761–768.
SACSAC-2015-ColantonioPPS #overview #platform #visual notation
Visual detection of singularities in review platforms (AC, RDP, MP, AS), pp. 1294–1295.
SACSAC-2015-DabainMT #design pattern #using
Design pattern detection using FINDER (HD, AM, VT), pp. 1586–1593.
SACSAC-2015-FernandesPCRP #metaheuristic #network #statistics
Statistical, forecasting and metaheuristic techniques for network anomaly detection (GF, EHMP, LFC, JJPCR, MLPJ), pp. 701–707.
SACSAC-2015-GotoT #communication #network #visual notation
Anomalous network communication detection system by visual pattern on a client computer (HG, TT), pp. 1263–1269.
SACSAC-2015-HozanoFSFC #developer #feedback #smell #using
Using developers’ feedback to improve code smell detection (MH, HF, ICLS, BF, EC), pp. 1661–1663.
SACSAC-2015-KrutzMS #analysis #effectiveness #using
Examining the effectiveness of using concolic analysis to detect code clones (DEK, SAM, ES), pp. 1610–1615.
SACSAC-2015-MongioviGFPT #analysis #approach #data flow #hybrid #java
Combining static and dynamic data flow analysis: a hybrid approach for detecting data leaks in java applications (MM, GG, AF, GP, ET), pp. 1573–1579.
SACSAC-2015-OliveiraQMM #community #complexity #using
Community detection, with lower time complexity, using coupled Kuramoto oscillators (JEMdO, MGQ, MDNM, EENM), pp. 1160–1166.
SACSAC-2015-RegoMP #approach #folksonomy #learning
A supervised learning approach to detect subsumption relations between tags in folksonomies (ASdCR, LBM, CESP), pp. 409–415.
SACSAC-2015-Rekha #big data #performance #using
A fast support vector data description system for anomaly detection using big data (AGR), pp. 931–932.
SACSAC-2015-SantiagoPH #approach #modelling
A modeling approach for credit card fraud detection in electronic payment services (GPS, AMP, RHJ), pp. 2328–2331.
SACSAC-2015-SantosM
Exploring decision drivers on god class detection in three controlled experiments (JAMS, MGM), pp. 1472–1479.
CASECASE-2015-AntonelloGM #fault
Autonomous robotic system for thermographic detection of defects in upper layers of carbon fiber reinforced polymers (MA, SG, EM), pp. 634–639.
CASECASE-2015-BrisimiAZCP
Sensing and classifying roadway obstacles: The street bump anomaly detection and decision support system (TSB, SA, YZ, CGC, ICP), pp. 1288–1293.
CASECASE-2015-ButtersGS #network
Detecting and reducing redundancy in alarm networks (TDB, SG, JLS), pp. 1224–1229.
CASECASE-2015-DamesK #automation #locality #multi #smarttech
Automated detection, localization, and registration of smart devices with multiple robots (PD, VK), pp. 564–571.
CASECASE-2015-KreutzerRREL #automation #metric #using
Automatically detecting fluid intake using conductivity measurements of beverages in a cup (JFK, SR, SMFR, KE, TCL), pp. 1546–1551.
CASECASE-2015-SathishRB #approach #industrial #simulation
A simulation based approach to detect wear in industrial robots (VS, SR, SB), pp. 1570–1575.
CASECASE-2015-SundarkumarRNG #api #machine learning #modelling #topic
Malware detection via API calls, topic models and machine learning (GGS, VR, IN, VG), pp. 1212–1217.
CASECASE-2015-WuDZW
Kalman filter based DNS cache poisoning attack detection (HW, XD, LZ, LW), pp. 1594–1600.
CASECASE-2015-ZhangHZ #fault #metric
Fault detection for wireless networked systems with compressed measurements (JZ, XH, DHZ), pp. 356–361.
CASECASE-2015-ZonEHJVSB #delivery #multi #realtime #using
Real-time collision detection for multiple packaging robots using monotonicity of configuration subspaces (RvZ, DE, DH, IJ, RV, RIS, KB), pp. 1638–1643.
CGOCGO-2015-StepanovS #c++ #memory management #named #performance
MemorySanitizer: fast detector of uninitialized memory use in C++ (ES, KS), pp. 46–55.
DACDAC-2015-CampbellLMC #debugging #fault #hybrid #synthesis #using #validation
Hybrid quick error detection (H-QED): accelerator validation and debug using high-level synthesis principles (KAC, DL, SM, DC), p. 6.
DACDAC-2015-CampbellVPC #fault #low cost #synthesis
High-level synthesis of error detecting cores through low-cost modulo-3 shadow datapaths (KAC, PV, DZP, DC), p. 6.
DACDAC-2015-LiuHWSJHL #assessment #smarttech
Impact assessment of net metering on smart home cyberattack detection (YL, SH, JW, YS, YJ, YH, XL), p. 6.
DACDAC-2015-RajendranVK
Detecting malicious modifications of data in third-party intellectual property cores (JR, VV, RK), p. 6.
DACDAC-2015-YoonSMC #behaviour #embedded #heatmap #memory management #realtime #using
Memory heat map: anomaly detection in real-time embedded systems using memory behavior (MKY, LS, SM, JC), p. 6.
DACDAC-2015-ZhouAZYUGUJ #embedded #hardware #using
Detecting hardware trojans using backside optical imaging of embedded watermarks (BZ, RA, MZ, TY, AU, BBG, MSÜ, AJ), p. 6.
DATEDATE-2015-CakirM #clustering #correlation #hardware #using
Hardware Trojan detection for gate-level ICs using signal correlation based clustering (, SM), pp. 471–476.
DATEDATE-2015-CornaFNS #android
Occupancy detection via iBeacon on Android devices for smart building management (AC, LF, AAN, DS), pp. 629–632.
DATEDATE-2015-CourbonLFT #hardware #performance
A high efficiency hardware trojan detection technique based on fast SEM imaging (FC, PLM, JJAF, AT), pp. 788–793.
DATEDATE-2015-FrancqF #hardware
Introduction to hardware trojan detection methods (JF, FF), pp. 770–775.
DATEDATE-2015-HollerKRRK #compilation #evaluation
Evaluation of diverse compiling for software-fault detection (AH, NK, TR, KR, CK), pp. 531–536.
DATEDATE-2015-KanounS #big data #concept #data type #learning #online #scheduling #streaming
Big-data streaming applications scheduling with online learning and concept drift detection (KK, MvdS), pp. 1547–1550.
DATEDATE-2015-KumarAL #fault #monitoring
Operational fault detection and monitoring of a memristor-based LUT (TNK, HAFA, FL), pp. 429–434.
DATEDATE-2015-LiaperdosAT #estimation #fault #probability #testing
A method for the estimation of defect detection probability of analog/RF defect-oriented tests (JL, AA, YT), pp. 1395–1400.
DATEDATE-2015-LinSKRM #debugging #effectiveness #fault #performance #testing #validation
Quick error detection tests with fast runtimes for effective post-silicon validation and debug (DL, ES, SK, ER, SM), pp. 1168–1173.
DATEDATE-2015-NgoEBDGNRR #hardware #metric
Hardware trojan detection by delay and electromagnetic measurements (XTN, IE, SB, JLD, SG, ZN, JBR, BR), pp. 782–787.
DATEDATE-2015-RenTB #learning #statistics
Detection of illegitimate access to JTAG via statistical learning in chip (XR, VGT, RD(B), pp. 109–114.
DATEDATE-2015-TaatizadehN #automation #design #embedded #validation
A methodology for automated design of embedded bit-flips detectors in post-silicon validation (PT, NN), pp. 73–78.
DATEDATE-2015-ZwergerG #symmetry
Detection of asymmetric aging-critical voltage conditions in analog power-down mode (MZ, HEG), pp. 1269–1272.
HPCAHPCA-2015-OzsoyDGAP #framework #online #performance
Malware-aware processors: A framework for efficient online malware detection (MO, CD, IG, NBAG, DVP), pp. 651–661.
HPDCHPDC-2015-BerrocalBDLC #data analysis #lightweight #runtime
Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications (EB, LABG, SD, ZL, FC), pp. 275–278.
PDPPDP-2015-El-KazzazE #framework #scalability #ubiquitous #using
A Hadoop-Based Framework for Large-Scale Landmine Detection Using Ubiquitous Big Satellite Imaging Data (SEK, AEM), pp. 274–278.
PDPPDP-2015-GiitsidisKGS #image
Human and Fire Detection from High Altitude UAV Images (TG, EGK, AG, GCS), pp. 309–315.
PDPPDP-2015-GuthmullerQC #distributed #legacy #similarity #verification
System-Level State Equality Detection for the Formal Dynamic Verification of Legacy Distributed Applications (MG, MQ, GC), pp. 451–458.
PDPPDP-2015-NazarianRMCG #control flow #fault
Bit-Flip Aware Control-Flow Error Detection (GN, DGR, ÁFM, LC, GG), pp. 215–221.
PDPPDP-2015-SkovorodaG #mobile #overview
Review of the Mobile Malware Detection Approaches (AS, DG), pp. 600–603.
PDPPDP-2015-ZhangEHLJ #fault
A Routing-Level Solution for Fault Detection, Masking, and Tolerance in NoCs (XZ, ME, LH, GL, AJ), pp. 365–369.
PPoPPPPoPP-2015-DasSR #communication #concurrent #program analysis #thread
Section based program analysis to reduce overhead of detecting unsynchronized thread communication (MD, GS, JR), pp. 283–284.
PPoPPPPoPP-2015-McPhersonNSC #legacy #source code
Fence placement for legacy data-race-free programs via synchronization read detection (AJM, VN, SS, MC), pp. 249–250.
ESOPESOP-2015-CalzavaraBCS #fine-grained
Fine-Grained Detection of Privilege Escalation Attacks on Browser Extensions (SC, MB, SC, ES), pp. 510–534.
ESOPESOP-2015-ChengR #spreadsheet #static analysis
Static Analysis of Spreadsheet Applications for Type-Unsafe Operations Detection (TC, XR), pp. 26–52.
FASEFASE-2015-FedyukovichDHS #bound #dependence #model checking
Symbolic Detection of Assertion Dependencies for Bounded Model Checking (GF, ACD, AEJH, NS), pp. 186–201.
ICSTICST-2015-ArcainiGV #fault #feature model #generative #modelling #testing
Generating Tests for Detecting Faults in Feature Models (PA, AG, PV), pp. 1–10.
ICSTICST-2015-BardinDDKPTM #requirements
Sound and Quasi-Complete Detection of Infeasible Test Requirements (SB, MD, RD, NK, MP, YLT, JYM), pp. 1–10.
ICSTICST-2015-MahajanH #html #locality #using
Detection and Localization of HTML Presentation Failures Using Computer Vision-Based Techniques (SM, WGJH), pp. 1–10.
ICSTICST-2015-WanJLH #android #energy
Detecting Display Energy Hotspots in Android Apps (MW, YJ, DL, WGJH), pp. 1–10.
ICSTICST-2015-XuLCK #approach #bound #lightweight #thread
A Lightweight, Static Approach to Detecting Unbounded Thread-Instantiation Loops (JX, YL, RHC, DCK), pp. 1–10.
ISSTAISSTA-2015-GyoriSHM #dependence #reliability #testing
Reliable testing: detecting state-polluting tests to prevent test dependency (AG, AS, FH, DM), pp. 223–233.
ISSTAISSTA-2015-HayTP #android #communication
Dynamic detection of inter-application communication vulnerabilities in Android (RH, OT, MP), pp. 118–128.
ISSTAISSTA-2015-ShenLPG #automation #performance #profiling #search-based #using
Automating performance bottleneck detection using search-based application profiling (DS, QL, DP, MG), pp. 270–281.
ISSTAISSTA-2015-WangGMC #android #approach #clone detection #named #scalability
WuKong: a scalable and accurate two-phase approach to Android app clone detection (HW, YG, ZM, XC), pp. 71–82.
ISSTAISSTA-2015-XueWLXSC #behaviour #classification #javascript #modelling
Detection and classification of malicious JavaScript via attack behavior modelling (YX, JW, YL, HX, JS, MC), pp. 48–59.
ISSTAISSTA-2015-ZhangE #fault
Proactive detection of inadequate diagnostic messages for software configuration errors (SZ, MDE), pp. 12–23.
ICSTSAT-2015-AnsoteguiGLS #community #using
Using Community Structure to Detect Relevant Learnt Clauses (CA, JGC, JL, LS), pp. 238–254.
CBSECBSE-2014-DidierM #approach #component
A new approach to detect potential race conditions in component-based systems (JYD, MM), pp. 97–106.
ECSAECSA-2014-PalmaMTG #specification #web #web service
Specification and Detection of SOA Antipatterns in Web Services (FP, NM, GT, YGG), pp. 58–73.
QoSAQoSA-2014-WertOHF #anti #automation #component #performance
Automatic detection of performance anti-patterns in inter-component communications (AW, MO, CH, RF), pp. 3–12.
DocEngDocEng-2014-BarabucciBIMM #documentation #modelling #visualisation
Document changes: modeling, detection, storage and visualization (DChanges 2014) (GB, UMB, ADI, SM, EVM), pp. 207–208.
DocEngDocEng-2014-DohrnR #documentation #fine-grained
Fine-grained change detection in structured text documents (HD, DR), pp. 87–96.
DocEngDocEng-2014-FerilliGRE #order
Abstract argumentation for reading order detection (SF, DG, DR, FE), pp. 45–48.
HTHT-2014-HerzigMR #social #social media #topic
An author-reader influence model for detecting topic-based influencers in social media (JH, YM, HR), pp. 46–55.
JCDLJCDL-2014-KoopmanW #similarity #what
Where should I publish? Detecting journal similarity based on what have been published there (RK, SW), pp. 483–484.
JCDLJCDL-2014-MeuschkeG #retrieval #using
Reducing computational effort for plagiarism detection by using citation characteristics to limit retrieval space (NM, BG), pp. 197–200.
JCDLJCDL-2014-SmithCDSW #modelling #reuse
Detecting and modeling local text reuse (DAS, RC, EMD, NS, JW), pp. 183–192.
SIGMODSIGMOD-2014-Dev #algorithm #community #interactive #network #online #social
A user interaction based community detection algorithm for online social networks (HD), pp. 1607–1608.
SIGMODSIGMOD-2014-Dev14a #community #graph #precise #privacy #social
Privacy preserving social graphs for high precision community detection (HD), pp. 1615–1616.
SIGMODSIGMOD-2014-ShaoCC #parallel #performance
Efficient cohesive subgraphs detection in parallel (YS, LC, BC), pp. 613–624.
VLDBVLDB-2014-ChenNC #performance #sql
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel (ZC, VRN, SC), pp. 1417–1428.
VLDBVLDB-2014-GuptaSGGZLL #graph #online #realtime #recommendation #scalability #twitter
Real-Time Twitter Recommendation: Online Motif Detection in Large Dynamic Graphs (PG, VS, AG, SG, VZ, QL, JL), pp. 1379–1380.
VLDBVLDB-2014-LondheGZNS #community
Matching Titles with Cross Title Web-Search Enrichment and Community Detection (NL, VG, AZ, HQN, RKS), pp. 1167–1178.
VLDBVLDB-2014-YuYWLC #big data #classification #design #power management
Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes (MCY, TY, SCW, CJL, EYC), pp. 1429–1440.
EDMEDM-2014-BakerO #effectiveness #scalability
Cost-Effective, Actionable Engagement Detection at Scale (RSB, JO), pp. 345–346.
EDMEDM-2014-NiznanPR #problem #using
Using Problem Solving Times and Expert Opinion to Detect Skills (JN, RP, JR), pp. 433–434.
EDMEDM-2014-PaquetteCBO #case study #game studies #process #re-engineering
Reengineering the Feature Distillation Process: A case study in detection of Gaming the System (LP, AMJBdC, RSB, JO), pp. 284–287.
EDMEDM-2014-PeroH #how #programming #question #source code #student
How patterns in source codes of students can help in detection of their programming skills? (SP, TH), pp. 371–372.
EDMEDM-2014-RoweBAKH #automation #learning
Building Automated Detectors of Gameplay Strategies to Measure Implicit Science Learning (ER, RSB, JAC, EK, WJH), pp. 337–338.
EDMEDM-2014-Schneider #collaboration #learning #multimodal #towards
Toward Collaboration Sensing: Multimodal Detection of the Chameleon Effect in Collaborative Learning Settings (BS), pp. 435–437.
EDMEDM-2014-ToussaintLT #automation #behaviour #similarity #towards #using
Towards Using Similarity Measure for Automatic Detection of Significant Behaviors from Continuous Data (BMT, VL, JT), pp. 427–428.
EDMEDM-2014-WixonAMBRW #scalability
The Opportunities and Limitations of Scaling Up Sensor-Free Affect Detection (MW, IA, KM, WB, DR, BPW), pp. 145–152.
SIGITESIGITE-2014-IhantolaSV #automation #programming
Automatically detectable indicators of programming assignment difficulty (PI, JS, AV), pp. 33–38.
SANERCSMR-WCRE-2014-DingZT #branch
Detecting infeasible branches based on code patterns (SD, HZ, HBKT), pp. 74–83.
SANERCSMR-WCRE-2014-MondalRS14a
Improving the detection accuracy of evolutionary coupling by measuring change correspondence (MM, CKR, KAS), pp. 358–362.
SANERCSMR-WCRE-2014-UjhelyiHVCSVF #comparison #query
Anti-pattern detection with model queries: A comparison of approaches (ZU, ÁH, DV, NIC, GS, LV, RF), pp. 293–302.
SANERCSMR-WCRE-2014-VidacsBTSG #approach #fault #locality #reduction #testing
Test suite reduction for fault detection and localization: A combined approach (LV, ÁB, DT, IS, TG), pp. 204–213.
ICPCICPC-2014-TianZLFZY #parallel #thread
Plagiarism detection for multithreaded software based on thread-aware software birthmarks (ZT, QZ, TL, MF, XZ, ZY), pp. 304–313.
ICSMEICSME-2014-AbreuCFMPS14a #fault #locality #smell
FaultySheet Detective: When Smells Meet Fault Localization (RA, JC, JPF, PM, AP, JS), pp. 625–628.
ICSMEICSME-2014-BauerVJ #approach #novel
A Novel Approach to Detect Unintentional Re-implementations (VB, TV, EJ), pp. 491–495.
ICSMEICSME-2014-Kumar #collaboration #source code
Detecting Collaborative Patterns in Programs (KK), p. 664.
ICSMEICSME-2014-Palma #specification
Specification and Detection of SOA Antipatterns (FP), p. 670.
ICSMEICSME-2014-PonzanelliMBLF #quality #stack overflow
Improving Low Quality Stack Overflow Post Detection (LP, AM, AB, ML, DF), pp. 541–544.
ICSMEICSME-2014-Stephan #analysis #clone detection #evaluation #mutation testing #using
Model Clone Detector Evaluation Using Mutation Analysis (MS), pp. 633–638.
ICSMEICSME-2014-SvajlenkoR #clone detection #tool support
Evaluating Modern Clone Detection Tools (JS, CKR), pp. 321–330.
MSRMSR-2014-KleinCK #debugging
New features for duplicate bug detection (NK, CSC, NAK), pp. 324–327.
MSRMSR-2014-LazarRS #debugging #metric #similarity #using
Improving the accuracy of duplicate bug report detection using textual similarity measures (AL, SR, BS), pp. 308–311.
SCAMSCAM-2014-MurtazaHKC #automation
Total ADS: Automated Software Anomaly Detection System (SSM, AHL, WK, MC), pp. 83–88.
SEFMSEFM-2014-AlrajehC #automation #composition #specification
Automated Error-Detection and Repair for Compositional Software Specifications (DA, RC), pp. 111–127.
SEFMSEFM-2014-ChristakisMW #invariant #testing
Synthesizing Parameterized Unit Tests to Detect Object Invariant Violations (MC, PM, VW), pp. 65–80.
SFMSFM-2014-GiachinoL #concurrent #linear #recursion #source code
Deadlock Detection in Linear Recursive Programs (EG, CL), pp. 26–64.
CHICHI-2014-HautasaariYG #communication #quote
“Maybe it was a joke”: emotion detection in text-only communication by non-native english speakers (AMJH, NY, GG), pp. 3715–3724.
CHICHI-2014-MinDWAZH #named #quality #smarttech
Toss-n-turn: smartphone as sleep and sleep quality detector (JKM, AD, JW, SA, JZ, JIH), pp. 477–486.
CHICHI-2014-SunPC #named
MouStress: detecting stress from mouse motion (DS, PP, JC), pp. 61–70.
HCIDUXU-DI-2014-Al-SalhieAA #multi
Multimedia Surveillance in Event Detection: Crowd Analytics in Hajj (LAS, MAZ, AAW), pp. 383–392.
HCIDUXU-DI-2014-GencerBZV #machine learning #mobile
Detection of Churned and Retained Users with Machine Learning Methods for Mobile Applications (MG, GB, ÖZ, TV), pp. 234–245.
HCIDUXU-DI-2014-HeZL #fault #feature model #image #segmentation
Aluminum CT Image Defect Detection Based on Segmentation and Feature Extraction (NH, LZ, KL), pp. 446–454.
HCIHCI-AIMT-2014-HottaHOK #estimation #fault #multi
Detecting Address Estimation Errors from Users’ Reactions in Multi-user Agent Conversation (RH, HHH, SO, KK), pp. 245–253.
HCIHCI-AIMT-2014-RoyC #artificial reality #invariant #markov #using
View-Invariant Human Detection from RGB-D Data of Kinect Using Continuous Hidden Markov Model (SR, TC), pp. 325–336.
HCIHCI-AIMT-2014-TewsOFK #interface #research
Current and New Research Perspectives on Dynamic Facial Emotion Detection in Emotional Interface (TKT, MO, HF, TK), pp. 779–787.
HCILCT-TRE-2014-YamaguchiSYNSM #collaboration #distance #learning
Posture and Face Detection with Dynamic Thumbnail Views for Collaborative Distance Learning (TY, HS, MY, YN, HS, TM), pp. 227–236.
HCISCSM-2014-Ahangama #realtime #social #social media #twitter #using
Use of Twitter Stream Data for Trend Detection of Various Social Media Sites in Real Time (SA), pp. 151–159.
HCISCSM-2014-Kanawati #community #network
Seed-Centric Approaches for Community Detection in Complex Networks (RK), pp. 197–208.
CAiSECAiSE-2014-PadilhaPFAGS #effectiveness #empirical #metric #on the #smell
On the Effectiveness of Concern Metrics to Detect Code Smells: An Empirical Study (JP, JAP, EF, JMA, AG, CS), pp. 656–671.
ICEISICEIS-v1-2014-Lenz
Data Fraud Detection (HJL), p. XV.
ICEISICEIS-v1-2014-MezghaniPZAS #social
Analyzing Tagged Resources for Social Interests Detection (MM, AP, CAZ, IA, FS), pp. 340–345.
ICEISICEIS-v1-2014-SilvaNMFMM #algorithm #distributed #performance #pipes and filters #using
Efficient and Distributed DBScan Algorithm Using MapReduce to Detect Density Areas on Traffic Data (TLCdS, ACAN, RPM, VAEdF, JAFdM, JCM), pp. 52–59.
ICEISICEIS-v2-2014-GippMBPN #semantics #similarity #using #visualisation
Web-based Demonstration of Semantic Similarity Detection Using Citation Pattern Visualization for a Cross Language Plagiarism Case (BG, NM, CB, JP, AN), pp. 677–683.
ICEISICEIS-v2-2014-JulianoTS #metric #object-oriented #using
Detection of Software Anomalies Using Object-oriented Metrics (RCJ, BANT, MSS), pp. 241–248.
ICEISICEIS-v2-2014-ThorntonCPHM #health
Outlier-based Health Insurance Fraud Detection for U.S. Medicaid Data (DT, GvC, MP, JvH, RMM), pp. 684–694.
CIKMCIKM-2014-AnchuriSS #architecture
Hotspot Detection in a Service-Oriented Architecture (PA, RS, SS), pp. 1749–1758.
CIKMCIKM-2014-KiselevaCBD #modelling #user satisfaction
Modelling and Detecting Changes in User Satisfaction (JK, EC, RB, RD), pp. 1449–1458.
CIKMCIKM-2014-LefortierSR #online
Online Exploration for Detecting Shifts in Fresh Intent (DL, PS, MdR), pp. 589–598.
CIKMCIKM-2014-OuyangSTN #crowdsourcing
Truth Discovery in Crowdsourced Detection of Spatial Events (WRO, MBS, AT, TJN), pp. 461–470.
CIKMCIKM-2014-ShihKRCGSP #component #network
Component Detection in Directed Networks (YKS, SK, YR, JC, AG, TS, SP), pp. 1729–1738.
CIKMCIKM-2014-ShuLLYT
Deal or deceit: detecting cheating in distribution channels (KS, PL, WL, PY, LT), pp. 1419–1428.
CIKMCIKM-2014-TakayamaTIOFC #probability
A Word-Scale Probabilistic Latent Variable Model for Detecting Human Values (YT, YT, EI, DWO, KRF, ASC), pp. 1489–1498.
CIKMCIKM-2014-TangWPTL #approach
An Appliance-Driven Approach to Detection of Corrupted Load Curve Data (GT, KW, JP, JT, JL), pp. 1429–1438.
CIKMCIKM-2014-WangWC #community #named #network #social
CoDEM: An Ingenious Tool of Insight into Community Detection in Social Networks (MW, CW, JC), pp. 2006–2008.
CIKMCIKM-2014-YangLLLH #automation #clustering #multi #social #using
Automatic Social Circle Detection Using Multi-View Clustering (YY, CL, XL, BL, JH), pp. 1019–1028.
ECIRECIR-2014-CorneyMG #twitter
Spot the Ball: Detecting Sports Events on Twitter (DC, CJM, AG), pp. 449–454.
ECIRECIR-2014-GalleR
Boilerplate Detection and Recoding (MG, JMR), pp. 462–467.
ECIRECIR-2014-PanemBGV #realtime #topic #twitter #using
Entity Tracking in Real-Time Using Sub-topic Detection on Twitter (SP, RB, MG, VV), pp. 528–533.
ECIRECIR-2014-SchallerHE #smarttech
Detecting Event Visits in Urban Areas via Smartphone GPS Data (RS, MH, DE), pp. 681–686.
ECIRECIR-2014-ThumaRO #query #retrieval
Detecting Missing Content Queries in an SMS-Based HIV/AIDS FAQ Retrieval System (ET, SR, IO), pp. 247–259.
ICMLICML-c1-2014-ChenSMKWK #adaptation
Active Detection via Adaptive Submodularity (YC, HS, CFM, LPK, SW, AK), pp. 55–63.
ICMLICML-c2-2014-AhmedTBZDKB #random
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations (BA, TT, KB, YZ, OD, RK, CEB), pp. 1080–1088.
ICMLICML-c2-2014-HarelMEC #concept
Concept Drift Detection Through Resampling (MH, SM, REY, KC), pp. 1009–1017.
ICPRICPR-2014-0005ZTS #segmentation
Human Hair Segmentation and Length Detection for Human Appearance Model (YW, ZZ, EKT, BS), pp. 450–454.
ICPRICPR-2014-AkinM #learning #online
Online Learning and Detection with Part-Based, Circulant Structure (OA, KM), pp. 4229–4233.
ICPRICPR-2014-AlyuzGA #3d #recognition #robust
Detection of Realistic Facial Occlusions for Robust 3D Face Recognition (NA, BG, LA), pp. 375–380.
ICPRICPR-2014-BalntasTM
Improving Object Tracking with Voting from False Positive Detections (VB, LT, KM), pp. 1928–1933.
ICPRICPR-2014-BartoliLKBB #adaptation #multi #performance
Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection (FB, GL, SK, ADB, ADB), pp. 3534–3539.
ICPRICPR-2014-BayramogluKEANKH #approach #image #machine learning #using
Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach (NB, MK, LE, MA, MN, JK, JH), pp. 3345–3350.
ICPRICPR-2014-BiswasZLMV #analysis #image #using
Lesion Detection in Breast Ultrasound Images Using Tissue Transition Analysis (SB, FZ, XL, RM, VV), pp. 1185–1188.
ICPRICPR-2014-BougueliaBB #classification #data type #novel #performance
Efficient Active Novel Class Detection for Data Stream Classification (MRB, YB, AB), pp. 2826–2831.
ICPRICPR-2014-BrownFP #self #using
Temporal Non-maximum Suppression for Pedestrian Detection Using Self-Calibration (LMGB, RSF, SP), pp. 2239–2244.
ICPRICPR-2014-BuiNLYK #order #statistics #using
Boosted Stable Path for Staff-Line Detection Using Order Statistic Downscaling and Coarse-to-Fine Technique (HNB, ISN, GL, HJY, SHK), pp. 522–526.
ICPRICPR-2014-CechFM #3d #approach #refinement
A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking (JC, VF, JM), pp. 2173–2178.
ICPRICPR-2014-ChenH #composition
Implicit Rank-Sparsity Decomposition: Applications to Saliency/Co-saliency Detection (YLC, CTH), pp. 2305–2310.
ICPRICPR-2014-ChenLHLLH #using
Vision-Based Road Bump Detection Using a Front-Mounted Car Camcorder (HTC, CYL, CCH, SYL, BSPL, CPH), pp. 4537–4542.
ICPRICPR-2014-ChenLLYH #adaptation #forensics
Anti-forensics of JPEG Detectors via Adaptive Quantization Table Replacement (CC, HL, WL, RY, JH), pp. 672–677.
ICPRICPR-2014-ChenSPS #energy #statistics
Statistical Anomaly Detection in Mean and Variation of Energy Consumption (BC, MS, JP, AS), pp. 3570–3575.
ICPRICPR-2014-ChenWCN #fault #modelling #network
Confusion Network Based Recurrent Neural Network Language Modeling for Chinese OCR Error Detection (JC, YW, HC, PN), pp. 1266–1271.
ICPRICPR-2014-Climent-PerezMR #multi #using
Multi-view Event Detection in Crowded Scenes Using Tracklet Plots (PCP, DNM, PR), pp. 4370–4375.
ICPRICPR-2014-ContiFAAMCT #distance #evaluation
Evaluation of Time Series Distance Functions in the Task of Detecting Remote Phenology Patterns (JCC, FAF, JA, BA, LPCM, LC, RdST), pp. 3126–3131.
ICPRICPR-2014-DingM #approach #image
An Accurate Approach for Microaneurysm Detection in Digital Fundus Images (SD, WM), pp. 1846–1851.
ICPRICPR-2014-ElmikatyS #image #multi #using
Car Detection in High-Resolution Urban Scenes Using Multiple Image Descriptors (ME, TS), pp. 4299–4304.
ICPRICPR-2014-FerisBPS
Appearance-Based Object Detection Under Varying Environmental Conditions (RF, LMGB, SP, MTS), pp. 166–171.
ICPRICPR-2014-FiratCV #learning #representation
Representation Learning for Contextual Object and Region Detection in Remote Sensing (OF, GC, FTYV), pp. 3708–3713.
ICPRICPR-2014-FradiD #recognition
Sparse Feature Tracking for Crowd Change Detection and Event Recognition (HF, JLD), pp. 4116–4121.
ICPRICPR-2014-FrucciGNRB #mobile #named
IDEM: Iris DEtection on Mobile Devices (MF, CG, MN, DR, GSdB), pp. 1752–1757.
ICPRICPR-2014-FuGYGY #graph
Graph Construction for Salient Object Detection in Videos (KF, IYHG, YY, CG, JY), pp. 2371–2376.
ICPRICPR-2014-GomezK #realtime
MSER-Based Real-Time Text Detection and Tracking (LG, DK), pp. 3110–3115.
ICPRICPR-2014-HedjamCK #documentation #energy #image #multi #self
Constrained Energy Maximization and Self-Referencing Method for Invisible Ink Detection from Multispectral Historical Document Images (RH, MC, MK), pp. 3026–3031.
ICPRICPR-2014-HtikeH #adaptation #performance #video
Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes (KKH, DCH), pp. 654–659.
ICPRICPR-2014-HuWSC #framework #robust #using
Robust Head-Shoulder Detection Using a Two-Stage Cascade Framework (RH, RW, SS, XC), pp. 2796–2801.
ICPRICPR-2014-JhuoL #learning #multi #video
Video Event Detection via Multi-modality Deep Learning (IHJ, DTL), pp. 666–671.
ICPRICPR-2014-KamberovBKK #video
Unsupervised Detection of Video Sub-scenes (GK, MB, LK, OK), pp. 1934–1939.
ICPRICPR-2014-KawarabukiO
Snowfall Detection in a Foggy Scene (HK, KO), pp. 877–882.
ICPRICPR-2014-LablackDBD #approach
A Local Approach for Negative Emotion Detection (AL, TD, IMB, CD), pp. 417–420.
ICPRICPR-2014-LemesSBS #authentication
Dynamic Pore Filtering for Keypoint Detection Applied to Newborn Authentication (RdPL, MPS, ORPB, LS), pp. 1698–1703.
ICPRICPR-2014-LiangLLFL #modelling
Accurate Facial Landmarks Detection for Frontal Faces with Extended Tree-Structured Models (AL, WL, LL, MRF, VL), pp. 538–543.
ICPRICPR-2014-LiewY #feature model #novel #performance #robust
Generalized BRIEF: A Novel Fast Feature Extraction Method for Robust Hand Detection (CFL, TY), pp. 3014–3019.
ICPRICPR-2014-LimKLC #similarity
Crowd Saliency Detection via Global Similarity Structure (MKL, VJK, CCL, CSC), pp. 3957–3962.
ICPRICPR-2014-LinCCLH #analysis
Left-Luggage Detection from Finite-State-Machine Analysis in Static-Camera Videos (KL, SCC, CSC, DTL, YPH), pp. 4600–4605.
ICPRICPR-2014-LiuCL #segmentation
Exploring Depth Information for Object Segmentation and Detection (TLL, KYC, SHL), pp. 4340–4345.
ICPRICPR-2014-LiuZZL #realtime
Real-Time Scene Text Detection Based on Stroke Model (YL, DZ, YZ, SL), pp. 3116–3120.
ICPRICPR-2014-LuWMST #modelling
Anomaly Detection through Spatio-temporal Context Modeling in Crowded Scenes (TL, LW, XM, PS, CLT), pp. 2203–2208.
ICPRICPR-2014-LuWW #summary
Audiotory Movie Summarization by Detecting Scene Changes and Sound Events (TL, YW, GW), pp. 756–760.
ICPRICPR-2014-MaB #incremental #random
Compound Exemplar Based Object Detection by Incremental Random Forest (KM, JBA), pp. 2407–2412.
ICPRICPR-2014-MatsuoSY #image #using
Vehicle Driver Face Detection in Various Sunlight Environments Using Composed Face Images (HM, TS, NY), pp. 1687–1691.
ICPRICPR-2014-MatveevG #approximate #segmentation
Iris Segmentation System Based on Approximate Feature Detection with Subsequent Refinements (IM, KG), pp. 1704–1709.
ICPRICPR-2014-MekonnenLHB #optimisation #people
People Detection with Heterogeneous Features and Explicit Optimization on Computation Time (AAM, FL, AH, CB), pp. 4322–4327.
ICPRICPR-2014-MeloLMS #approach
An Optimized Sliding Window Approach to Pedestrian Detection (VHCdM, SL, DM, WRS), pp. 4346–4351.
ICPRICPR-2014-MolderCCH #automation #reduction #using
Automatic Detection of Embryo Location in Medical Imaging Using Trigonometric Rotation for Noise Reduction (ALM, SC, NC, GH), pp. 3239–3244.
ICPRICPR-2014-MoriKNK #using #video
Video Content Detection with Single Frame Level Accuracy Using Dynamic Thresholding Technique (MM, TK, HN, KK), pp. 2560–2565.
ICPRICPR-2014-MuddamsettySTM #using
Spatio-temporal Saliency Detection in Dynamic Scenes Using Local Binary Patterns (SMM, DS, AT, FM), pp. 2353–2358.
ICPRICPR-2014-NilssonAGF #using
Pedestrian Detection Using Augmented Training Data (JN, PA, IYHG, JF), pp. 4548–4553.
ICPRICPR-2014-NilufarP #learning #programming
Learning to Detect Contours with Dynamic Programming Snakes (SN, TJP), pp. 984–989.
ICPRICPR-2014-OzkanEA #video #visual notation
Visual Group Binary Signature for Video Copy Detection (, EE, GBA), pp. 3945–3950.
ICPRICPR-2014-PakKA #probability
Improvement of Benign and Malignant Probability Detection Based on Non-subsample Contourlet Transform and Super-resolution (FP, HRK, AA), pp. 895–899.
ICPRICPR-2014-PanagiotakisK #automation #fault
Automatic Enhancement and Detection of Active Sea Faults from Bathymetry (CP, EK), pp. 855–860.
ICPRICPR-2014-PedagadiOB
Integral Line Scan Features for Pedestrian Detection (SP, JO, BAB), pp. 2383–2388.
ICPRICPR-2014-PistocchiCBFC #3d #classification #kernel
Kernelized Structural Classification for 3D Dogs Body Parts Detection (SP, SC, SB, NF, RC), pp. 1993–1998.
ICPRICPR-2014-RahmanHZ
Information Divergence Based Saliency Detection with a Global Center-Surround Mechanism (IMHR, CH, MZ), pp. 3428–3433.
ICPRICPR-2014-RamirezOT #multi
Go with the Flow: Improving Multi-view Vehicle Detection with Motion Cues (AR, EOB, MMT), pp. 4140–4145.
ICPRICPR-2014-RazakarivonyJ
Discriminative Autoencoders for Small Targets Detection (SR, FJ), pp. 3528–3533.
ICPRICPR-2014-RiabchenkoKC14a
Density-Aware Part-Based Object Detection with Positive Examples (ER, JKK, KC), pp. 2814–2819.
ICPRICPR-2014-SantoshWAT #image #scalability
Scalable Arrow Detection in Biomedical Images (KCS, LW, SA, GRT), pp. 3257–3262.
ICPRICPR-2014-SariE #analysis #fault #independence #using
Texture Defect Detection Using Independent Vector Analysis in Wavelet Domain (LS, AE), pp. 1639–1644.
ICPRICPR-2014-SchubertM #robust
Robust Registration and Filtering for Moving Object Detection in Aerial Videos (FS, KM), pp. 2808–2813.
ICPRICPR-2014-SinghKZ #difference #image #markov #multi #scalability
A Multilayer Markovian Model for Change Detection in Aerial Image Pairs with Large Time Differences (PS, ZK, JZ), pp. 924–929.
ICPRICPR-2014-SmedtBTG #combinator #multi
The Combinator: Optimal Combination of Multiple Pedestrian Detectors (FDS, KVB, TT, TG), pp. 3522–3527.
ICPRICPR-2014-SongSLZZC #image
Corner Detection in Images Under Different Noise Levels (YS, YS, SL, CZ, JZ, HC), pp. 906–911.
ICPRICPR-2014-SuL
High-Stakes Deception Detection Based on Facial Expressions (LS, MDL), pp. 2519–2524.
ICPRICPR-2014-SunHJC #image #network #robust
Robust Text Detection in Natural Scene Images by Generalized Color-Enhanced Contrasting Extremal Region and Neural Networks (LS, QH, WJ, KC), pp. 2715–2720.
ICPRICPR-2014-SunZL #adaptation
An Adaptive-Profile Active Shape Model for Facial-Feature Detection (KS, HZ, KML), pp. 2849–2854.
ICPRICPR-2014-TaniH #robust #using
Robust Human Detection to Pose and Occlusion Using Bag-of-Words (YT, KH), pp. 4376–4381.
ICPRICPR-2014-TavanaiSGCH
Context Aware Detection and Tracking (AT, MS, FG, AGC, DCH), pp. 2197–2202.
ICPRICPR-2014-TuXN #analysis #process
Computational Auditory Scene Analysis Based Voice Activity Detection (MT, XX, XN), pp. 797–802.
ICPRICPR-2014-UbukataSTMKMU #image #performance #segmentation
Fast Human Detection Combining Range Image Segmentation and Local Feature Based Detection (TU, MS, KT, AM, TK, GM, KU), pp. 4281–4286.
ICPRICPR-2014-WangFC
Traffic Camera Anomaly Detection (YKW, CTF, JFC), pp. 4642–4647.
ICPRICPR-2014-WangFH0KH #image #performance
Fast and Accurate Text Detection in Natural Scene Images with User-Intention (LW, WF, YH, JS, YK, YH), pp. 2920–2925.
ICPRICPR-2014-WangLSSC #evaluation
Evaluation of Feature Detectors and Descriptors for Motion Detection from Aerial Videos (CW, SL, YS, YS, HC), pp. 2596–2601.
ICPRICPR-2014-WuJ #learning
Learning the Deep Features for Eye Detection in Uncontrolled Conditions (YW, QJ), pp. 455–459.
ICPRICPR-2014-YunJKHC #modelling #performance #self
Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection (SY, HJ, WSK, BH, JYC), pp. 4246–4250.
ICPRICPR-2014-YunJYKC #interactive #video
Motion Interaction Field for Accident Detection in Traffic Surveillance Video (KY, HJ, KMY, SWK, JYC), pp. 3062–3067.
ICPRICPR-2014-YuSZ #artificial reality #image #realtime #sequence
Real Time Fingertip Detection with Kinect Depth Image Sequences (YY, YS, YZ), pp. 550–555.
ICPRICPR-2014-ZhangKBC
Center-Surround Contrast Features for Pedestrian Detection (SZ, DAK, CB, ABC), pp. 2293–2298.
ICPRICPR-2014-ZhangLYQWTZ #statistics
Sufficient Statistics Feature Mapping over Deep Boltzmann Machine for Detection (CZ, XL, JY, SQ, YW, CT, YZ), pp. 827–832.
ICPRICPR-2014-ZhangM #adaptation
Improving Object Tracking by Adapting Detectors (LZ, LvdM), pp. 1218–1223.
ICPRICPR-2014-ZhangM14a #learning #multi
Simultaneous Detection of Multiple Facial Action Units via Hierarchical Task Structure Learning (XZ, MHM), pp. 1863–1868.
KDDKDD-2014-BabaieCA #online
Sleep analytics and online selective anomaly detection (TB, SC, RGA), pp. 362–371.
KDDKDD-2014-ChenN #graph #parametricity #social #social media #statistics
Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs (FC, DBN), pp. 1166–1175.
KDDKDD-2014-DuanSLL #community #correlation #graph
Community detection in graphs through correlation (LD, WNS, YL, HL), pp. 1376–1385.
KDDKDD-2014-FortunySMMPM
Corporate residence fraud detection (EJdF, MS, JM, BM, FJP, DM), pp. 1650–1659.
KDDKDD-2014-GunnemannGF #evolution #probability #rating #robust
Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution (SG, NG, CF), pp. 841–850.
KDDKDD-2014-KlosterG #community #kernel
Heat kernel based community detection (KK, DFG), pp. 1386–1395.
KDDKDD-2014-PerozziASM #clustering #graph #scalability
Focused clustering and outlier detection in large attributed graphs (BP, LA, PIS, EM), pp. 1346–1355.
KDDKDD-2014-RozenshteinAGT #network #process
Event detection in activity networks (PR, AA, AG, NT), pp. 1176–1185.
KDDKDD-2014-SchubertWK #named #scalability #topic
SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds (ES, MW, HPK), pp. 871–880.
KDDKDD-2014-TamersoyRC #graph #mining #scalability
Guilt by association: large scale malware detection by mining file-relation graphs (AT, KAR, DHC), pp. 1524–1533.
KDDKDD-2014-YuCRW
Detecting moving object outliers in massive-scale trajectory streams (YY, LC, EAR, QW), pp. 422–431.
KDDKDD-2014-YuH0 #analysis #named #social #social media
GLAD: group anomaly detection in social media analysis (QRY, XH, YL), pp. 372–381.
KDIRKDIR-2014-NagwanshiM #semantics #sentiment #using
Sarcasm Detection using Sentiment and Semantic Features (PN, CEVM), pp. 418–424.
KDIRKDIR-2014-PassonneauRX #mining #scalability
Company Mention Detection for Large Scale Text Mining (RJP, TR, BX), pp. 512–520.
MLDMMLDM-2014-AndreaSVU #performance
A New Measure of Outlier Detection Performance (KA, GS, NV, AU), pp. 190–197.
MLDMMLDM-2014-KhasnabishSDS #learning #programming language #source code #using
Detecting Programming Language from Source Code Using Bayesian Learning Techniques (JNK, MS, JD, GS), pp. 513–522.
MLDMMLDM-2014-YuST #modelling #realtime
Semi-supervised Time Series Modeling for Real-Time Flux Domain Detection on Passive DNS Traffic (BY, LS, MT), pp. 258–271.
RecSysRecSys-2014-TavakolB #topic
Factored MDPs for detecting topics of user sessions (MT, UB), pp. 33–40.
SEKESEKE-2014-CostaMM #diagrams #equivalence #semantics #uml
Detecting Semantic Equivalence in UML Class Diagrams (VOC, RM, LM), pp. 318–323.
SEKESEKE-2014-LiuTA #database
Detecting Anomaly in the Usage of Database Attribute (KL, HBKT, YA), pp. 705–710.
SEKESEKE-2014-Otunba0 #approximate #named
APT: Approximate Period Detection in Time Series (RO, JL), pp. 490–494.
SEKESEKE-2014-SantosM #identification
Identifying strategies on god class detection in two controlled experiments (JAMS, MGM), pp. 244–249.
SEKESEKE-2014-SolariM #empirical #fault #testing
A Controlled Experiment to Explore Potentially Undetectable Defects for Testing Techniques (MS, SM), pp. 106–109.
SIGIRSIGIR-2014-HuTL #microblog
Leveraging knowledge across media for spammer detection in microblogging (XH, JT, HL), pp. 547–556.
SIGIRSIGIR-2014-KumarJF #twitter #using
Where not to go?: detecting road hazards using twitter (AK, MJ, YF), pp. 1223–1226.
SIGIRSIGIR-2014-ParkS #higher-order #modelling #probability
Second order probabilistic models for within-document novelty detection in academic articles (LAFP, SS), pp. 1103–1106.
SIGIRSIGIR-2014-SpinaGA #learning #monitoring #online #similarity #topic
Learning similarity functions for topic detection in online reputation monitoring (DS, JG, EA), pp. 527–536.
SIGIRSIGIR-2014-ZhangKQH #semantics #word
Continuous word embeddings for detecting local text reuses at the semantic level (QZ, JK, JQ, XH), pp. 797–806.
SIGIRSIGIR-2014-ZhouKWAD #recommendation
Detection of abnormal profiles on group attacks in recommender systems (WZ, YSK, JW, SA, GD), pp. 955–958.
MODELSMoDELS-2014-ChavarriagaNCJ #multi #process
Propagating Decisions to Detect and Explain Conflicts in a Multi-step Configuration Process (JC, CN, RC, VJ), pp. 337–352.
OOPSLAOOPSLA-2014-SamakR #concurrent #parallel #synthesis #thread
Multithreaded test synthesis for deadlock detection (MS, MKR), pp. 473–489.
PLATEAUPLATEAU-2014-SadowskiY #concurrent #developer #how #tool support
How Developers Use Data Race Detection Tools (CS, JY), pp. 43–51.
LOPSTRLOPSTR-2014-SinghK #java #partial evaluation
Partial Evaluation for Java Malware Detection (RS, AK), pp. 133–147.
PEPMPEPM-2014-0008E #c++ #fault
Early detection of type errors in C++ templates (SC, ME), pp. 133–144.
PLDIPLDI-2014-DimitrovRVK #commutative #concurrent
Commutativity race detection (DD, VR, MTV, EK), p. 33.
PLDIPLDI-2014-HsiaoPYPNCKF #concurrent #mobile
Race detection for event-driven mobile applications (CHH, CP, JY, GP, SN, PMC, ZK, JF), p. 35.
PLDIPLDI-2014-HuangMR #abstraction #concurrent #control flow #predict
Maximal sound predictive race detection with control flow abstraction (JH, POM, GR), p. 36.
PLDIPLDI-2014-MaiyaKM #android #concurrent
Race detection for Android applications (PM, AK, RM), p. 34.
PLDIPLDI-2014-TavarageriKS #fault #memory management
Compiler-assisted detection of transient memory errors (ST, SK, PS), p. 24.
RERE-2014-AdedjoumaSB #approach #automation #case study
Automated detection and resolution of legal cross references: Approach and a study of Luxembourg’s legislation (MA, MS, LCB), pp. 63–72.
ASEASE-2014-LiuSLZWDW #automation #case study #documentation #fault
Automatic early defects detection in use case documents (SL, JS, YL, YZ, BW, JSD, XW), pp. 785–790.
ASEASE-2014-ThungKL #debugging #named #tool support
DupFinder: integrated tool support for duplicate bug report detection (FT, PSK, DL), pp. 871–874.
FSEFSE-2014-BaeCLR #api #named #web
SAFEWAPI: web API misuse detector for web applications (SB, HC, IL, SR), pp. 507–517.
FSEFSE-2014-BanerjeeC0R #debugging #energy #mobile
Detecting energy bugs and hotspots in mobile apps (AB, LKC, SC, AR), pp. 588–598.
FSEFSE-2014-Bell #dependence #testing
Detecting, isolating, and enforcing dependencies among and within test cases (JB), pp. 799–802.
FSEFSE-2014-EslamimehrP #concurrent #named #scalability #source code
Sherlock: scalable deadlock detection for concurrent programs (ME, JP), pp. 353–365.
FSEFSE-2014-FengADA #android #named #semantics #static analysis
Apposcopy: semantics-based detection of Android malware through static analysis (YF, SA, ID, AA), pp. 576–587.
FSEFSE-2014-HuoC #quality #testing
Improving oracle quality by detecting brittle assertions and unused inputs in tests (CH, JC), pp. 621–631.
FSEFSE-2014-Kasi #scheduling
Minimizing software conflicts through proactive detection of conflicts and task scheduling (BKK), pp. 807–810.
FSEFSE-2014-LuoMW0Z #comparison #obfuscation #semantics #similarity
Semantics-based obfuscation-resilient binary code similarity comparison with applications to software plagiarism detection (LL, JM, DW, PL, SZ), pp. 389–400.
FSEFSE-2014-MileaJK #abstraction #refactoring #scalability
Vector abstraction and concretization for scalable detection of refactorings (NAM, LJ, SCK), pp. 86–97.
FSEFSE-2014-MirakhorliFGWC #architecture #monitoring #named
Archie: a tool for detecting, monitoring, and preserving architecturally significant code (MM, AF, AG, MW, JCH), pp. 739–742.
FSEFSE-2014-SamakR #concurrent #java #library #parallel #precise #thread
Omen+: a precise dynamic deadlock detector for multithreaded Java libraries (MS, MKR), pp. 735–738.
FSEFSE-2014-Xiao #architecture #debugging
Detecting and preventing the architectural roots of bugs (LX), pp. 811–813.
ICSEICSE-2014-ChenLZ #android #scalability
Achieving accuracy and scalability simultaneously in detecting application clones on Android markets (KC, PL, YZ), pp. 175–186.
ICSEICSE-2014-ChenSJHNF #anti #performance #using
Detecting performance anti-patterns for applications developed using object-relational mapping (THC, WS, ZMJ, AEH, MNN, PF), pp. 1001–1012.
ICSEICSE-2014-DouCW #ambiguity #smell #spreadsheet
Is spreadsheet ambiguity harmful? detecting and repairing spreadsheet smells due to ambiguous computation (WD, SCC, JW), pp. 848–858.
ICSEICSE-2014-HuangZTWL #android #behaviour #named #user interface
AsDroid: detecting stealthy behaviors in Android applications by user interface and program behavior contradiction (JH, XZ, LT, PW, BL), pp. 1036–1046.
ICSEICSE-2014-JungLRP #automation #memory management
Automated memory leak detection for production use (CJ, SL, ER, SP), pp. 825–836.
ICSEICSE-2014-LeeJP #behaviour #machine learning #memory management #modelling #using
Detecting memory leaks through introspective dynamic behavior modelling using machine learning (SL, CJ, SP), pp. 814–824.
ICSEICSE-2014-LinXXLPSZ #difference #multi
Detecting differences across multiple instances of code clones (YL, ZX, YX, YL, XP, JS, WZ), pp. 164–174.
ICSEICSE-2014-LiuXC #debugging #performance #smarttech
Characterizing and detecting performance bugs for smartphone applications (YL, CX, SCC), pp. 1013–1024.
ICSEICSE-2014-NegaraCDJ #fine-grained #mining
Mining fine-grained code changes to detect unknown change patterns (SN, MC, DD, REJ), pp. 803–813.
SACSAC-2014-ChenLFCCK #algorithm #design #effectiveness #health #implementation #monitoring
Design and implementation of a personal health monitoring system with an effective SVM-based PVC detection algorithm in cardiology (HC, GTL, YCF, BCC, CMC, TCK), pp. 33–35.
SACSAC-2014-ChenZW #named #testing
Crashmaker: an improved binary concolic testing tool for vulnerability detection (BC, QZ, WW), pp. 1257–1263.
SACSAC-2014-Cooper #android #research #student
Student research abstract: android malware detection based on Kullback-Leibler divergence (VNC), pp. 1695–1696.
SACSAC-2014-FerreiraBBAG #architecture #case study #effectiveness
Detecting architecturally-relevant code anomalies: a case study of effectiveness and effort (MF, EAB, IMB, RA, AG), pp. 1158–1163.
SACSAC-2014-FreitasVHBV #twitter
Pathways for irony detection in tweets (LAdF, AAV, DNH, MNB, RV), pp. 628–633.
SACSAC-2014-IencoBPP #category theory #data type #evolution
Change detection in categorical evolving data streams (DI, AB, BP, PP), pp. 792–797.
SACSAC-2014-JunAK #using
DDoS attack detection by using packet sampling and flow features (JHJ, CWA, SHK), pp. 711–712.
SACSAC-2014-KawsarAL #multimodal #process #smarttech #using
Smartphone based multimodal activity detection system using plantar pressure sensors (FAK, SIA, RL), pp. 468–469.
SACSAC-2014-KimK #community #mobile #network #social
A detection of overlapping community in mobile social network (PK, SK), pp. 175–179.
SACSAC-2014-MazelFF #comparison #diagrams #network #visual notation
Visual comparison of network anomaly detectors with chord diagrams (JM, RF, KF), pp. 473–480.
SACSAC-2014-NabeezathP #algorithm #performance
Global value numbering for redundancy detection: a simple and efficient algorithm (SN, VP), pp. 1609–1611.
SACSAC-2014-PalVCS #smarttech #using
Improved heart rate detection using smart phone (AP, AV, ADC, AS), pp. 8–13.
SACSAC-2014-PengYYHKH #3d #multi #using
3D cloud detection and tracking for solar forecast using multiple sky imagers (ZP, SY, DY, DH, PK, JH), pp. 512–517.
SACSAC-2014-ZandVYK
Extracting probable command and control signatures for detecting botnets (AZ, GV, XY, CK), pp. 1657–1662.
ASPLOSASPLOS-2014-WoodCG #low level
Low-level detection of language-level data races with LARD (BPW, LC, DG), pp. 671–686.
ASPLOSASPLOS-2014-ZhangRZGBXZ #correlation #named
EnCore: exploiting system environment and correlation information for misconfiguration detection (JZ, LR, XZ, NG, VB, TX, YZ), pp. 687–700.
CASECASE-2014-CanaliCCSEC #assembly #automation #industrial
An automatic assembly parts detection and grasping system for industrial manufacturing (CC, FC, FC, GS, AE, DGC), pp. 215–220.
CASECASE-2014-CaoMDZ #performance #visual notation
A gabor based fast interest point detector for image-based robot visual servo control (ZC, FM, JSD, JZ), pp. 883–888.
CASECASE-2014-ChiuC #bound #image
A variance-reduction method for thyroid nodule boundary detection on ultrasound images (LYC, AC), pp. 681–685.
CASECASE-2014-KuoSLW #3d #estimation #image
3D object detection and pose estimation from depth image for robotic bin picking (HYK, HRS, SHL, CCW), pp. 1264–1269.
CASECASE-2014-YuM #approach #data-driven #statistics
Data-driven bottleneck detection in manufacturing systems: A statistical approach (CY, AM), pp. 710–715.
CGOCGO-2014-SureshS #algorithm #automation #fault #grid #problem
Automated Algorithmic Error Resilience for Structured Grid Problems Based on Outlier Detection (AS, JS), p. 240.
CGOCGO-2014-YanXYR #memory management #named
LeakChecker: Practical Static Memory Leak Detection for Managed Languages (DY, G(X, SY, AR), p. 87.
CGOCGO-2014-YeSX #analysis
Accelerating Dynamic Detection of Uses of Undefined Values with Static Value-Flow Analysis (DY, YS, JX), p. 154.
DACDAC-2014-CuiMSW #hardware #runtime #synthesis
High-Level Synthesis for Run-Time Hardware Trojan Detection and Recovery (XC, KM, LS, KW), p. 6.
DACDAC-2014-HernandezA #fault #named #safety
LiVe: Timely Error Detection in Light-Lockstep Safety Critical Systems (CH, JA), p. 6.
DACDAC-2014-LiuHM #hardware #statistics
Hardware Trojan Detection through Golden Chip-Free Statistical Side-Channel Fingerprinting (YL, KH, YM), p. 6.
DACDAC-2014-RaiHST #fault #framework #performance #realtime
An Efficient Real Time Fault Detection and Tolerance Framework Validated on the Intel SCC Processor (DR, PH, NS, LT), p. 6.
DACDAC-2014-VaidyanathanDP #reliability #stack #using
Detecting Reliability Attacks during Split Fabrication using Test-only BEOL Stack (KV, BPD, LP), p. 6.
DACDAC-2014-XiaCK #algorithm #automation #development
An Automobile Detection Algorithm Development for Automated Emergency Braking System (LX, TDC, KAAK), p. 6.
DATEDATE-2014-AndradesRC #design
Signature indexing of design layouts for hotspot detection (CA, MAR, CCC), pp. 1–6.
DATEDATE-2014-BardizbanyanSWL #data flow #dependence #energy
Reducing set-associative L1 data cache energy by early load data dependence detection (ELD3) (AB, MS, DBW, PLE), pp. 1–4.
DATEDATE-2014-Fu0PJZ #data flow #fault #parallel #thread
A fault detection mechanism in a Data-flow scheduled Multithreaded processor (JF, QY, RP, CRJ, CZ), pp. 1–4.
DATEDATE-2014-JunsangsriLH #concurrent #hybrid
A hybrid non-volatile SRAM cell with concurrent SEU detection and correction (PJ, FL, JH), pp. 1–4.
DATEDATE-2014-KordesVDW #fault #hybrid #network #robust
Startup error detection and containment to improve the robustness of hybrid FlexRay networks (AK, BV, AKD, MGW), pp. 1–6.
DATEDATE-2014-Maurer #algorithm #symmetry
A universal symmetry detection algorithm (PMM), pp. 1–4.
DATEDATE-2014-MurilloWCLA #automation #concurrent #constraints #debugging
Automatic detection of concurrency bugs through event ordering constraints (LGM, SW, JC, RL, GA), pp. 1–6.
DATEDATE-2014-NathanS #fault #low cost #named
Nostradamus: Low-cost hardware-only error detection for processor cores (RN, DJS), pp. 1–6.
DATEDATE-2014-ZussaDTDMGCT #fault #injection #performance
Efficiency of a glitch detector against electromagnetic fault injection (LZ, AD, KT, JMD, PM, LGS, JC, AT), pp. 1–6.
HPCAHPCA-2014-HuangHFS #concurrent #data transformation #metadata #runtime
Low-overhead and high coverage run-time race detection through selective meta-data management (RCH, EH, AF, GES), pp. 96–107.
HPCAHPCA-2014-QiMAT
Dynamically detecting and tolerating IF-Condition Data Races (SQ, AM, WA, JT), pp. 120–131.
OSDIOSDI-2014-ChenMXHPSZ
Detecting Covert Timing Channels with Time-Deterministic Replay (AC, WBM, HX, AH, LTXP, MS, WZ), pp. 541–554.
PDPPDP-2014-YalcinSHVWFUCF #energy #fault #memory management #transaction
Combining Error Detection and Transactional Memory for Energy-Efficient Computing below Safe Operation Margins (GY, AS, DH, AV, JTW, PF, OSÜ, AC, CF), pp. 248–255.
PPoPPPPoPP-2014-Bautista-GomezC #monitoring
Detecting silent data corruption through data dynamic monitoring for scientific applications (LABG, FC), pp. 381–382.
PPoPPPPoPP-2014-LiuTHB #named #predict
PREDATOR: predictive false sharing detection (TL, CT, ZH, EDB), pp. 3–14.
PPoPPPPoPP-2014-SamakR #concurrent
Trace driven dynamic deadlock detection and reproduction (MS, MKR), pp. 29–42.
STOCSTOC-2014-Massoulie #community
Community detection thresholds and the weak Ramanujan property (LM), pp. 694–703.
TACASTACAS-2014-BozzanoCGT #component #design #fault #identification #logic #using
Formal Design of Fault Detection and Identification Components Using Temporal Epistemic Logic (MB, AC, MG, ST), pp. 326–340.
TACASTACAS-2014-FinkbeinerT #distributed #specification
Detecting Unrealizable Specifications of Distributed Systems (BF, LT), pp. 78–92.
ICSTICST-2014-HongPK #concurrent #fault #java #web
Detecting Concurrency Errors in Client-Side Java Script Web Applications (SH, YP, MK), pp. 61–70.
ICTSSICTSS-2014-Bures #automation #maintenance #testing
Change Detection System for the Maintenance of Automated Testing (MB), pp. 192–197.
ISSTAISSTA-2014-AlshahwanH #fault #testing
Coverage and fault detection of the output-uniqueness test selection criteria (NA, MH), pp. 181–192.
ISSTAISSTA-2014-ChoudharyPO14a #consistency #named #nondeterminism #testing #web
X-PERT: a web application testing tool for cross-browser inconsistency detection (SRC, MRP, AO), pp. 417–420.
ISSTAISSTA-2014-MileaJK #refactoring #scalability
Scalable detection of missed cross-function refactorings (NAM, LJ, SCK), pp. 138–148.
ISSTAISSTA-2014-ZhangC #automation #exception #information management #lightweight
Lightweight automated detection of unsafe information leakage via exceptions (BZ, JC), pp. 327–338.
ICSTSAT-2014-BiereBLM #constraints
Detecting Cardinality Constraints in CNF (AB, DLB, EL, NM), pp. 285–301.
DocEngDocEng-2013-BarabucciBIM #documentation #modelling #visualisation
Document changes: modeling; detection; storing and visualization (DChanges) (GB, UMB, ADI, SM), pp. 281–282.
DocEngDocEng-2013-NevesZM #adaptation #algorithm #documentation #image
An adaptive thresholding algorithm based on edge detection and morphological operations for document images (RFdPN, CZ, CABM), pp. 107–110.
DocEngDocEng-2013-WilliamsG #library
Near duplicate detection in an academic digital library (KW, CLG), pp. 91–94.
DRRDRR-2013-LiWTL #comprehension #image
Comic image understanding based on polygon detection (LL, YW, ZT, DL).
DRRDRR-2013-RazaAS #image #multi
Multilingual artificial text detection and extraction from still images (AR, AA, IS).
DRRDRR-2013-SalahRP #adaptation #assessment #automation #quality
Adaptive detection of missed text areas in OCR outputs: application to the automatic assessment of OCR quality in mass digitization projects (ABS, NR, TP).
HTHT-2013-JarukasemratanaML #algorithm #community #distance #network
Community detection algorithm based on centrality and node distance in scale-free networks (SJ, TM, XL), pp. 258–262.
ICDARICDAR-2013-AlaeiDG #probability #representation #using
Logo Detection Using Painting Based Representation and Probability Features (AA, MD, NG), pp. 1235–1239.
ICDARICDAR-2013-BertrandGTFO #documentation
A System Based on Intrinsic Features for Fraudulent Document Detection (RB, PGK, ORT, PF, JMO), pp. 106–110.
ICDARICDAR-2013-ChenPCN
Detecting OOV Names in Arabic Handwritten Data (JC, RP, HC, PN), pp. 994–998.
ICDARICDAR-2013-DiamantatosVK #documentation #image
Detecting Main Body Size in Document Images (DP, VV, EK), pp. 1160–1164.
ICDARICDAR-2013-DiemKS #documentation
Text Line Detection for Heterogeneous Documents (MD, FK, RS), pp. 743–747.
ICDARICDAR-2013-FernandezT #algorithm
Handwritten Line Detection via an EM Algorithm (FCF, ORT), pp. 718–722.
ICDARICDAR-2013-GandhiJ #documentation #image
Detection of Cut-and-Paste in Document Images (AG, CVJ), pp. 653–657.
ICDARICDAR-2013-GaoRKLSIK #documentation #image #retrieval
Key-Region Detection for Document Images — Application to Administrative Document Retrieval (HG, MR, DK, JL, TS, MI, KK), pp. 230–234.
ICDARICDAR-2013-GaoWXSZLS #adaptation
Adaptive Scene Text Detection Based on Transferring Adaboost (SG, CW, BX, CS, YZ, ZL, YS), pp. 388–392.
ICDARICDAR-2013-GebhardtGSD #authentication #documentation #using
Document Authentication Using Printing Technique Features and Unsupervised Anomaly Detection (JG, MG, FS, AD), pp. 479–483.
ICDARICDAR-2013-HaoGZXPSK #automation #fault #finite #transducer
Automated Error Detection and Correction of Chinese Characters in Written Essays Based on Weighted Finite-State Transducer (SH, ZG, MZ, YX, HP, KS, DK), pp. 763–767.
ICDARICDAR-2013-HerasFVLS #architecture
Unsupervised Wall Detector in Architectural Floor Plans (LPdlH, DFM, EV, JL, GS), pp. 1245–1249.
ICDARICDAR-2013-HuangSU
Scene Character Detection by an Edge-Ray Filter (RH, PS, SU), pp. 462–466.
ICDARICDAR-2013-IdikaPV
Achieving Linguistic Provenance via Plagiarism Detection (NCI, HP, MV), pp. 648–652.
ICDARICDAR-2013-JainD #documentation #image #named #verification
VisualDiff: Document Image Verification and Change Detection (RJ, DSD), pp. 40–44.
ICDARICDAR-2013-KasarBACP #documentation #image #learning #using
Learning to Detect Tables in Scanned Document Images Using Line Information (TK, PB, SA, CC, TP), pp. 1185–1189.
ICDARICDAR-2013-KessentiniCP #documentation #regular expression #word
Word Spotting and Regular Expression Detection in Handwritten Documents (YK, CC, TP), pp. 516–520.
ICDARICDAR-2013-KhanSM13a
Hyperspectral Imaging for Ink Mismatch Detection (ZK, FS, ASM), pp. 877–881.
ICDARICDAR-2013-KunzeSIK #documentation #off the shelf #process #recognition #using
Reading Activity Recognition Using an Off-the-Shelf EEG — Detecting Reading Activities and Distinguishing Genres of Documents (KK, YS, SI, KK), pp. 96–100.
ICDARICDAR-2013-LiLLLFT #geometry
Detection of Overlapped Quadrangles in Plane Geometric Figures (KL, XL, HL, LL, TF, ZT), pp. 260–264.
ICDARICDAR-2013-LinGTBAS #recognition
A Text Line Detection Method for Mathematical Formula Recognition (XL, LG, ZT, JBB, MA, VS), pp. 339–343.
ICDARICDAR-2013-LiuS #documentation #equation #image
A Simple Equation Region Detector for Printed Document Images in Tesseract (ZL, RS), pp. 245–249.
ICDARICDAR-2013-MoyssetK #algorithm #evaluation #on the
On the Evaluation of Handwritten Text Line Detection Algorithms (BM, CK), pp. 185–189.
ICDARICDAR-2013-NassuMO #documentation #image #towards
Text Line Detection in Document Images: Towards a Support System for the Blind (BTN, RM, LESdO), pp. 638–642.
ICDARICDAR-2013-RabaevBEKD
Text Line Detection in Corrupted and Damaged Historical Manuscripts (IR, OB, JES, KK, ID), pp. 812–816.
ICDARICDAR-2013-RazaSDE #multi #using
Multilingual Artificial Text Detection Using a Cascade of Transforms (AR, IS, CD, AE), pp. 309–313.
ICDARICDAR-2013-RebeloC
Staff Line Detection and Removal in the Grayscale Domain (AR, JSC), pp. 57–61.
ICDARICDAR-2013-RigaudBOKW #speech
An Active Contour Model for Speech Balloon Detection in Comics (CR, JCB, JMO, DK, JvdW), pp. 1240–1244.
ICDARICDAR-2013-SankaranJ #fault
Error Detection in Highly Inflectional Languages (NS, CVJ), pp. 1135–1139.
ICDARICDAR-2013-ShivakumaraBGT #video
Detection of Curved Text in Video: Quad Tree Based Method (PS, HTB, DSG, CLT), pp. 594–598.
ICDARICDAR-2013-SunBOK #using
Specific Comic Character Detection Using Local Feature Matching (WS, JCB, JMO, KK), pp. 275–279.
ICDARICDAR-2013-TeradaHFU #on the
On the Possibility of Structure Learning-Based Scene Character Detector (YT, RH, YF, SU), pp. 472–476.
ICDARICDAR-2013-TuarobBMG #automation #documentation #machine learning #pseudo #using
Automatic Detection of Pseudocodes in Scholarly Documents Using Machine Learning (ST, SB, PM, CLG), pp. 738–742.
ICDARICDAR-2013-WangSZ #component #multi #segmentation
Natural Scene Text Detection with Multi-channel Connected Component Segmentation (XW, YS, YZ), pp. 1375–1379.
ICDARICDAR-2013-YinLS #analysis #documentation #framework #image #multi #novel
A Novel Multi-view Object Class Detection Framework for Document Image Content Analysis (WY, TL, FS), pp. 1095–1099.
ICDARICDAR-2013-ZagorisP #image #modelling #using
Text Detection in Natural Images Using Bio-inspired Models (KZ, IP), pp. 1370–1374.
ICDARICDAR-2013-ZhuZ #image #recognition #using
Label Detection and Recognition for USPTO Images Using Convolutional K-Means Feature Quantization and Ada-Boost (SZ, RZ), pp. 633–637.
SIGMODSIGMOD-2013-GeorgiadisKGPTM #algorithm #data type #framework #state of the art
Continuous outlier detection in data streams: an extensible framework and state-of-the-art algorithms (DG, MK, AG, ANP, KT, YM), pp. 1061–1064.
VLDBVLDB-2013-AbdelhaqSG #locality #named #online #twitter
EvenTweet: Online Localized Event Detection from Twitter (HA, CS, MG), pp. 1326–1329.
VLDBVLDB-2013-DuttaNB #approach #approximate #data type #streaming
Streaming Quotient Filter: A Near Optimal Approximate Duplicate Detection Approach for Data Streams (SD, AN, SKB), pp. 589–600.
VLDBVLDB-2014-BudakGAA13 #named #network #online #roadmap #social
GeoScope: Online Detection of Geo-Correlated Information Trends in Social Networks (CB, TG, DA, AEA), pp. 229–240.
VLDBVLDB-2014-LiDWLKC13
Attraction and Avoidance Detection from Movements (ZL, BD, FW, TKHL, RK, MC), pp. 157–168.
CSMRCSMR-2013-BertranGCS #architecture
Enhancing the Detection of Code Anomalies with Architecture-Sensitive Strategies (IMB, AG, CC, AvS), pp. 177–186.
CSMRCSMR-2013-GhaithWPM #analysis #independence #performance #testing
Profile-Based, Load-Independent Anomaly Detection and Analysis in Performance Regression Testing of Software Systems (SG, MW, PP, JM), pp. 379–383.
CSMRCSMR-2013-NegaraTS #web
Feature Detection in Ajax-Enabled Web Applications (NN, NT, ES), pp. 154–163.
CSMRCSMR-2013-PolychniatisHJBV #dependence
Detecting Cross-Language Dependencies Generically (TP, JH, SJ, EB, JV), pp. 349–352.
CSMRCSMR-2013-StevensRNJ #multi #query #refactoring
A History Querying Tool and Its Application to Detect Multi-version Refactorings (RS, CDR, CN, VJ), pp. 335–338.
ICPCICPC-2013-Kamiya #clone detection #named #semantics
Agec: An execution-semantic clone detection tool (TK), pp. 227–229.
ICPCICPC-2013-MondalRS13a
Improving the detection accuracy of evolutionary coupling (MM, CKR, KAS), pp. 223–226.
ICPCICPC-2013-MurakamiHHIK #analysis #clone detection #lightweight #source code
Gapped code clone detection with lightweight source code analysis (HM, KH, YH, HI, SK), pp. 93–102.
ICPCICPC-2013-UddinRS #clone detection #named #performance #scalability
SimCad: An extensible and faster clone detection tool for large scale software systems (MSU, CKR, KAS), pp. 236–238.
ICSMEICSM-2013-FontanaZMM #approach #machine learning #smell #towards
Code Smell Detection: Towards a Machine Learning-Based Approach (FAF, MZ, AM, MM), pp. 396–399.
ICSMEICSM-2013-SorOTS #approach #machine learning #memory management #statistics #using
Improving Statistical Approach for Memory Leak Detection Using Machine Learning (VS, PO, TT, SNS), pp. 544–547.
MSRMSR-2013-AlaliBNM #distance #metric #using
A preliminary investigation of using age and distance measures in the detection of evolutionary couplings (AA, BB, CDN, JIM), pp. 169–172.
MSRMSR-2013-AlipourHS #approach #debugging #towards
A contextual approach towards more accurate duplicate bug report detection (AA, AH, ES), pp. 183–192.
MSRMSR-2013-AmouiKATLL #experience #fault #industrial #search-based
Search-based duplicate defect detection: an industrial experience (MA, NK, AAD, LT, SL, WL), pp. 173–182.
MSRMSR-2013-CampbellZXHM #analysis #documentation #topic #using
Deficient documentation detection: a methodology to locate deficient project documentation using topic analysis (JCC, CZ, ZX, AH, JM), pp. 57–60.
MSRMSR-2013-WangG #android #api #case study #developer
Detecting API usage obstacles: a study of iOS and Android developer questions (WW, MWG), pp. 61–64.
SCAMSCAM-2013-CeruloCPC #markov
A Hidden Markov Model to detect coded information islands in free text (LC, MC, MDP, GC), pp. 157–166.
SCAMSCAM-2013-FardM #javascript #named #smell
JSNOSE: Detecting JavaScript Code Smells (AMF, AM), pp. 116–125.
WCREWCRE-2013-AntonyAC #approach #behaviour #clone detection #modelling
An approach to clone detection in behavioural models (EPA, MHA, JRC), pp. 472–476.
WCREWCRE-2013-BernardiCL #approach #design pattern #graph #modelling
A model-driven graph-matching approach for design pattern detection (MLB, MC, GADL), pp. 172–181.
WCREWCRE-2013-ChenSB #c #memory management
Who allocated my memory? Detecting custom memory allocators in C binaries (XC, AS, HB), pp. 22–31.
WCREWCRE-2013-ChenSB13a #c #memory management #named
MemBrush: A practical tool to detect custom memory allocators in C binaries (XC, AS, HB), pp. 477–478.
WCREWCRE-2013-DucheneRRG #black box #data flow #modelling #named
LigRE: Reverse-engineering of control and data flow models for black-box XSS detection (FD, SR, JLR, RG), pp. 252–261.
WCREWCRE-2013-HallerSB #c #c++ #data type #named
MemPick: High-level data structure detection in C/C++ binaries (IH, AS, HB), pp. 32–41.
WCREWCRE-2013-HallerSB13a #data type #named
MemPick: A tool for data structure detection (IH, AS, HB), pp. 479–480.
WCREWCRE-2013-KrutzS #clone detection #named
CCCD: Concolic code clone detection (DEK, ES), pp. 489–490.
WCREWCRE-2013-NayrollesMV #execution #mining
Improving SOA antipatterns detection in Service Based Systems by mining execution traces (MN, NM, PV), pp. 321–330.
WCREWCRE-2013-SutiiRS #dependence #enterprise #java
Detecting dependencies in Enterprise JavaBeans with SQuAVisiT (AS, SAR, AS), pp. 485–486.
IFMIFM-2013-SavaryFL #bytecode #modelling #testing #using #verification
Detecting Vulnerabilities in Java-Card Bytecode Verifiers Using Model-Based Testing (AS, MF, JLL), pp. 223–237.
SEFMSEFM-2013-KeshishzadehMM #automation #debugging #domain-specific language #fault #smt #using
Early Fault Detection in DSLs Using SMT Solving and Automated Debugging (SK, AJM, MRM), pp. 182–196.
SEFMSEFM-2013-SalehKBW #fault #implementation #specification #static analysis #using
Static Detection of Implementation Errors Using Formal Code Specification (IS, GK, MBB, YW), pp. 197–211.
AIIDEAIIDE-2013-ChenKS #interactive #learning
Learning Interrogation Strategies while Considering Deceptions in Detective Interactive Stories (GYC, ECCK, VWS).
CoGCIG-2013-AlayedFN #behaviour #machine learning #online #using
Behavioral-based cheating detection in online first person shooters using machine learning techniques (HA, FF, CN), pp. 1–8.
FDGFDG-2013-RijnbouttHKB #game studies #library #mobile #robust
A robust throw detection library for mobile games (ER, OH, RK, RB), pp. 443–444.
GT-VMTGT-VMT-2013-MicallefC #case study #modelling #risk management #visual notation
A Case Study on Graphically Modelling and Detecting Knowledge Mobility Risks (MM, CC).
CHICHI-2013-WisemanCBGO #fault #using
Using redundancy to detect human error (SW, ALC, DPB, SG, SO), pp. 2403–2406.
CSCWCSCW-2013-AgustinaS #3d #collaboration #design #realtime
Dependency-conflict detection in real-time collaborative 3D design systems (A, CS), pp. 715–728.
CSCWCSCW-2013-BrooksKTPRSAZHA #chat #collaboration #statistics
Statistical affect detection in collaborative chat (MB, KK, MKT, DP, JJR, TJS, OA, AZ, PH, CRA), pp. 317–328.
HCIDUXU-PMT-2013-Breiner #forensics #interactive
User Interaction Forensics — Detecting and Interpreting the User’s Footprints during Touch Interaction (KB), pp. 193–202.
HCIHCI-III-2013-StorzRMLE #analysis #machine learning #visualisation #workflow
Annotate. Train. Evaluate. A Unified Tool for the Analysis and Visualization of Workflows in Machine Learning Applied to Object Detection (MS, MR, RM, HL, ME), pp. 196–205.
HCIHCI-III-2013-WangLDHY #set
A Coastline Detection Method Based on Level Set (QW, KL, FD, NH, LY), pp. 216–226.
HCIHCI-III-2013-YangZZJXW #multi #realtime #using
Depth Camera Based Real-Time Fingertip Detection Using Multi-view Projection (WY, ZZ, XZ, LJ, CX, PW), pp. 254–261.
HCIHCI-IMT-2013-EbisawaF #using #video
Head-Free, Remote Gaze Detection System Based on Pupil-Corneal Reflection Method with Using Two Video Cameras — One-Point and Nonlinear Calibrations (YE, KF), pp. 205–214.
HCIHIMI-D-2013-IshiiW #communication #evaluation #self #video
Evaluation of Superimposed Self-character Based on the Detection of Talkers’ Face Angles in Video Communication (YI, TW), pp. 431–438.
HCIHIMI-HSM-2013-SaitohI #learning #using #visualisation
Visualization of Anomaly Data Using Peculiarity Detection on Learning Vector Quantization (FS, SI), pp. 181–188.
HCIHIMI-LCCB-2013-SuzukiKUIISS #collaboration #multi
Detection of Division of Labor in Multiparty Collaboration (NS, TK, IU, SI, SI, MS, KS), pp. 362–371.
CAiSECAiSE-2013-BakkerFV #approach #hybrid #web
A Hybrid Model Words-Driven Approach for Web Product Duplicate Detection (MdB, FF, DV), pp. 149–161.
ICEISICEIS-v1-2013-LiuDH #assessment #exception #risk management
Detecting and Explaining Business Exceptions for Risk Assessment (LL, HAMD, WH), pp. 530–535.
CIKMCIKM-2013-FinisRABKF #flexibility #named #performance
RWS-Diff: flexible and efficient change detection in hierarchical data (JPF, MR, NA, RB, AK, FF), pp. 339–348.
CIKMCIKM-2013-KeikhaCC #retrieval
Generalizing diversity detection in blog feed retrieval (MK, FC, WBC), pp. 1201–1204.
CIKMCIKM-2013-McMinnMJ #corpus #scalability #twitter
Building a large-scale corpus for evaluating event detection on twitter (AJM, YM, JMJ), pp. 409–418.
CIKMCIKM-2013-TanGC0Z #named #network #social
UNIK: unsupervised social network spam detection (ET, LG, SC, XZ, YEZ), pp. 479–488.
CIKMCIKM-2013-XieSYPZ #correlation #streaming
Local correlation detection with linearity enhancement in streaming data (QX, SS, BY, CP, XZ), pp. 309–318.
CIKMCIKM-2013-ZhangJSCDZ #classification
Short text classification by detecting information path (SZ, XJ, DS, BC, XD, XZ), pp. 727–732.
CIKMCIKM-2013-ZhuXGC #mobile #perspective #ranking
Ranking fraud detection for mobile apps: a holistic view (HZ, HX, YG, EC), pp. 619–628.
ECIRECIR-2013-DadvarTOJ
Improving Cyberbullying Detection with User Context (MD, DT, RO, FdJ), pp. 693–696.
ECIRECIR-2013-Franco-SalvadorGR #multi #network #semantics #using
Cross-Language Plagiarism Detection Using a Multilingual Semantic Network (MFS, PG, PR), pp. 710–713.
ECIRECIR-2013-IgnatovKC #approach
Near-Duplicate Detection for Online-Shops Owners: An FCA-Based Approach (DII, AVK, YC), pp. 722–725.
ECIRECIR-2013-McParlaneMW #recommendation #semantics
Detecting Friday Night Party Photos: Semantics for Tag Recommendation (PJM, YM, IW), pp. 756–759.
ECIRECIR-2013-PanchenkoBNF #categorisation #towards
Towards Detection of Child Sexual Abuse Media: Categorization of the Associated Filenames (AP, RB, HN, CF), pp. 776–779.
ECIRECIR-2013-WaltherK #twitter
Geo-spatial Event Detection in the Twitter Stream (MW, MK), pp. 356–367.
ECIRECIR-2013-YatesG #named #social #social media
ADRTrace: Detecting Expected and Unexpected Adverse Drug Reactions from User Reviews on Social Media Sites (AY, NG), pp. 816–819.
ICMLICML-c1-2013-BuhlerRSH #clustering #community #set #source code
Constrained fractional set programs and their application in local clustering and community detection (TB, SSR, SS, MH), pp. 624–632.
ICMLICML-c3-2013-FriedlandJL #social
Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events (LF, DJ, ML), pp. 1175–1183.
ICMLICML-c3-2013-HockingRVB #learning #using
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression (TH, GR, JPV, FRB), pp. 172–180.
ICMLICML-c3-2013-KoppulaS #learning #process
Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation (HSK, AS), pp. 792–800.
KDDKDD-2013-CiglanLN #community #network #on the
On community detection in real-world networks and the importance of degree assortativity (MC, ML, KN), pp. 1007–1015.
KDDKDD-2013-FeiKSNMH #learning
Heat pump detection from coarse grained smart meter data with positive and unlabeled learning (HF, YK, SS, MRN, SKM, JH), pp. 1330–1338.
KDDKDD-2013-HuaCZLR #named #twitter
STED: semi-supervised targeted-interest event detectionin in twitter (TH, FC, LZ, CTL, NR), pp. 1466–1469.
KDDKDD-2013-SenatorGMYRPHRBCEJBCGKZBMMWDFWDEILKFCFGJ #database #process
Detecting insider threats in a real corporate database of computer usage activity (TES, HGG, AM, WTY, BR, RP, DH, MR, DAB, EC, IAE, JJ, VB, DHC, OG, OK, AZ, EB, RLMI, RM, LW, TGD, AF, WKW, SD, AE, JI, JYL, DK, CF, DDC, LF, AG, DJ), pp. 1393–1401.
KDDKDD-2013-StitelmanPDHRP #network #online #scalability #using
Using co-visitation networks for detecting large scale online display advertising exchange fraud (OS, CP, BD, RH, TR, FJP), pp. 1240–1248.
KDDKDD-2013-ZhaoH #learning #online
Cost-sensitive online active learning with application to malicious URL detection (PZ, SCHH), pp. 919–927.
KDDKDD-2013-ZimekGCS #effectiveness #performance
Subsampling for efficient and effective unsupervised outlier detection ensembles (AZ, MG, RJGBC, JS), pp. 428–436.
MLDMMLDM-2013-AmalamanER #using
Using Turning Point Detection to Obtain Better Regression Trees (PKA, CFE, NJR), pp. 325–339.
MLDMMLDM-2013-KokkulaM #classification #synthesis #topic
Classification and Outlier Detection Based on Topic Based Pattern Synthesis (SK, NMM), pp. 99–114.
MLDMMLDM-2013-MaziluCGRHT #learning #predict
Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease (SM, AC, EG, DR, JMH, GT), pp. 144–158.
MLDMMLDM-2013-NikovskiWESSMT #data analysis
Smart Meter Data Analysis for Power Theft Detection (DNN, ZW, AE, HS, KS, TM, KT), pp. 379–389.
MLDMMLDM-2013-SharmaG
Optimal Time Segments for Stress Detection (NS, TG), pp. 421–433.
SEKESEKE-2013-Al-JamimiA #design pattern #prolog #using
Using Prolog Rules to Detect Software Design Patterns: Strengths and Weaknesses (HAAJ, MAA), pp. 727–730.
SEKESEKE-2013-CostaJM #modelling #semantics
Semantic Conflicts Detection in Model-driven Engineering (VOC, JMBOJ, LGPM), pp. 656–661.
SEKESEKE-2013-LenhardW #modelling
Detecting Portability Issues in Model-Driven BPEL Mappings (JL, GW), pp. 18–21.
SEKESEKE-2013-LiuWL #analysis #named #online #performance #pointer
ELCD: an efficient online cycle detection technique for pointer analysis (FL, LW, BL), pp. 606–611.
SEKESEKE-2013-OliveiraBVC
Metrics-based Detection of Similar Software (PO, HB, MTV, HAXC), pp. 447–450.
SEKESEKE-2013-ThommazoOORWF #network #traceability
Detecting traceability links through neural networks (ADT, TRdO, GO, RR, VW, SF), pp. 36–41.
SIGIRSIGIR-2013-BonnefoyBB #documentation
A weakly-supervised detection of entity central documents in a stream (LB, VB, PB), pp. 769–772.
SIGIRSIGIR-2013-ChenALC #microblog #topic
Emerging topic detection for organizations from microblogs (YC, HA, ZL, TSC), pp. 43–52.
SIGIRSIGIR-2013-GippMBLN #analysis
Demonstration of citation pattern analysis for plagiarism detection (BG, NM, CB, ML, AN), pp. 1119–1120.
SIGIRSIGIR-2013-SavenkovLL #behaviour
Search engine switching detection based on user personal preferences and behavior patterns (DS, DL, QL), pp. 33–42.
SIGIRSIGIR-2013-YinYHH #image #retrieval #robust
Accurate and robust text detection: a step-in for text retrieval in natural scene images (XCY, XY, KH, HWH), pp. 1091–1092.
AMTAMT-2013-TichyKL #model transformation #performance #smell
Detecting Performance Bad Smells for Henshin Model Transformations (MT, CK, GL), pp. 82–91.
MODELSMoDELS-2013-RajbhojR #approach #metamodelling #version control
A Graph-Pattern Based Approach for Meta-Model Specific Conflict Detection in a General-Purpose Model Versioning System (AR, SR), pp. 422–435.
ECOOPECOOP-2013-FlanaganF #named
RedCard: Redundant Check Elimination for Dynamic Race Detectors (CF, SNF), pp. 255–280.
ECOOPECOOP-2013-ShomratF
Detecting Refactored Clones (MS, YAF), pp. 502–526.
OOPSLAOOPSLA-2013-BaoZ #execution #float #on the fly #problem
On-the-fly detection of instability problems in floating-point program execution (TB, XZ), pp. 817–832.
OOPSLAOOPSLA-2013-BhattacharyaGN #program analysis
Combining concern input with program analysis for bloat detection (SB, KG, MGN), pp. 745–764.
OOPSLAOOPSLA-2013-Deng0L #performance
Efficient concurrency-bug detection across inputs (DD, WZ, SL), pp. 785–802.
OOPSLAOOPSLA-2013-RaychevVS #concurrent #effectiveness #source code
Effective race detection for event-driven programs (VR, MTV, MS), pp. 151–166.
OOPSLAOOPSLA-2013-ZhongS #api #documentation #fault
Detecting API documentation errors (HZ, ZS), pp. 803–816.
PLDIPLDI-2013-ElwazeerAKSB #data type #scalability
Scalable variable and data type detection in a binary rewriter (KE, KA, AK, MS, RB), pp. 51–60.
POPLPOPL-2013-BarrVLS #automation #exception #float
Automatic detection of floating-point exceptions (ETB, TV, VL, ZS), pp. 549–560.
PPDPPPDP-2013-CalauttiGT #decidability #logic programming #source code
Detecting decidable classes of finitely ground logic programs with function symbols (MC, SG, IT), pp. 239–250.
ASEASE-2013-ChandramohanTBSP #approach #behaviour #bound #modelling #scalability
A scalable approach for malware detection through bounded feature space behavior modeling (MC, HBKT, LCB, LKS, BMP), pp. 312–322.
ASEASE-2013-Fard #behaviour #distributed #independence #using
Detecting and fixing emergent behaviors in Distributed Software Systems using a message content independent method (FHF), pp. 746–749.
ASEASE-2013-GhaisasMA #case study #documentation
Detecting system use cases and validations from documents (SG, MM, PRA), pp. 568–573.
ASEASE-2013-GuoZYZZ #android
Characterizing and detecting resource leaks in Android applications (CG, JZ, JY, ZZ, YZ), pp. 389–398.
ASEASE-2013-MoritzVPGMG #api #named #repository #scalability #source code #visualisation
ExPort: Detecting and visualizing API usages in large source code repositories (EM, MLV, DP, MG, CM, MG), pp. 646–651.
ASEASE-2013-PalombaBPOLP #smell #source code #using
Detecting bad smells in source code using change history information (FP, GB, MDP, RO, ADL, DP), pp. 268–278.
ASEASE-2013-RayKPR #consistency #nondeterminism #semantics
Detecting and characterizing semantic inconsistencies in ported code (BR, MK, SP, NR), pp. 367–377.
ASEASE-2013-Zhang0SLMD #automation #constraints #symmetry
Constraint-based automatic symmetry detection (SJZ, JS, CS, YL, JM, JSD), pp. 15–25.
ESEC-FSEESEC-FSE-2013-LiangWXM #debugging
Inferring project-specific bug patterns for detecting sibling bugs (GL, QW, TX, HM), pp. 565–575.
ESEC-FSEESEC-FSE-2013-McPeakGR #debugging #incremental #scalability
Scalable and incremental software bug detection (SM, CHG, MKR), pp. 554–564.
ESEC-FSEESEC-FSE-2013-NguyenX #named
Cachetor: detecting cacheable data to remove bloat (KN, G(X), pp. 268–278.
ESEC-FSEESEC-FSE-2013-PetkeYCH #combinator #fault #interactive #performance #testing
Efficiency and early fault detection with lower and higher strength combinatorial interaction testing (JP, SY, MBC, MH), pp. 26–36.
ESEC-FSEESEC-FSE-2013-SongT #automaton #model checking #named
PoMMaDe: pushdown model-checking for malware detection (FS, TT), pp. 607–610.
ESEC-FSEESEC-FSE-2013-WuHTY #alias #analysis #effectiveness #fault
Effective dynamic detection of alias analysis errors (JW, GH, YT, JY), pp. 279–289.
ICSEICSE-2013-FemmerGLM #case study #consistency #nondeterminism
Detecting inconsistencies in wrappers: a case study (HF, DG, ML, DM), pp. 1022–1031.
ICSEICSE-2013-HermansSPD #clone detection #spreadsheet #visualisation
Data clone detection and visualization in spreadsheets (FH, BS, MP, AvD), pp. 292–301.
ICSEICSE-2013-MalikHH #automation #performance #scalability #testing
Automatic detection of performance deviations in the load testing of large scale systems (HM, HH, AEH), pp. 1012–1021.
ICSEICSE-2013-MarinoHDVTV #concurrent #source code
Detecting deadlock in programs with data-centric synchronization (DM, CH, JD, MV, FT, JV), pp. 322–331.
ICSEICSE-2013-NguyenNNN #named #web
DRC: a detection tool for dangling references in PHP-based web applications (HVN, HAN, TTN, TNN), pp. 1299–1302.
ICSEICSE-2013-NistorSML #data access #named #performance #problem
Toddler: detecting performance problems via similar memory-access patterns (AN, LS, DM, SL), pp. 562–571.
ICSEICSE-2013-Simpson #communication #developer
Changeset based developer communication to detect software failures (BS), pp. 1468–1470.
ICSEICSE-2013-StephanASC #analysis #clone detection #comparison #framework #mutation testing #using
Using mutation analysis for a model-clone detector comparison framework (MS, MHA, AS, JRC), pp. 1261–1264.
ICSEICSE-2013-TianD #model checking
Detecting spurious counterexamples efficiently in abstract model checking (CT, ZD), pp. 202–211.
ICSEICSE-2013-ZhengZ #execution #static analysis #web
Path sensitive static analysis of web applications for remote code execution vulnerability detection (YZ, XZ), pp. 652–661.
SACSAC-2013-BakkerVFK #web
Model words-driven approaches for duplicate detection on the web (MdB, DV, FF, UK), pp. 717–723.
SACSAC-2013-BanerjeeSS #monitoring #using
Participatory sensing based traffic condition monitoring using horn detection (RB, AS, AS), pp. 567–569.
SACSAC-2013-ChaeKHLW #api
Software plagiarism detection via the static API call frequency birthmark (DKC, SWK, JH, SCL, GW), pp. 1639–1643.
SACSAC-2013-CostaBM #network #social
Detecting tip spam in location-based social networks (HC, FB, LHdCM), pp. 724–729.
SACSAC-2013-DietrichRP #clustering #visual notation
Exploiting visual appearance to cluster and detect rogue software (CJD, CR, NP), pp. 1776–1783.
SACSAC-2013-FariaGC #algorithm #data type #multi #problem
Novelty detection algorithm for data streams multi-class problems (ERF, JG, ACPLFC), pp. 795–800.
SACSAC-2013-HassanzadehN #algorithm #graph
A semi-supervised graph-based algorithm for detecting outliers in online-social-networks (RH, RN), pp. 577–582.
SACSAC-2013-HuangXCL #adaptation #algorithm #analysis #implementation #parallel #random testing #testing
Failure-detection capability analysis of implementing parallelism in adaptive random testing algorithms (RH, XX, JC, YL), pp. 1049–1054.
SACSAC-2013-KimM #algorithm #hybrid #search-based #using
Disguised malware script detection system using hybrid genetic algorithm (JK, BRM), pp. 182–187.
SACSAC-2013-LeitaoC #adaptation #optimisation #performance #using #xml
Efficient XML duplicate detection using an adaptive two-level optimization (LL, PC), pp. 832–837.
SACSAC-2013-PerkusichAP #development #problem
A model to detect problems on scrum-based software development projects (MP, HOdA, AP), pp. 1037–1042.
SACSAC-2013-RieckerBH #energy #lightweight #network
Lightweight energy consumption based intrusion detection system for wireless sensor networks (MR, SB, MH), pp. 1784–1791.
SACSAC-2013-TeixeiraRG #locality #parallel #using
Indoor localization using SLAM in parallel with a natural marker detector (LT, ABR, MG), pp. 27–33.
SLESLE-2013-VasudevanT #ambiguity #programming language
Detecting Ambiguity in Programming Language Grammars (NV, LT), pp. 157–176.
ASPLOSASPLOS-2013-QianTSQ #consistency #named #precise #scalability
Volition: scalable and precise sequential consistency violation detection (XQ, JT, BS, DQ), pp. 535–548.
ASPLOSASPLOS-2013-WesterDCFN #concurrent
Parallelizing data race detection (BW, DD, PMC, JF, SN), pp. 27–38.
CASECASE-2013-LanzaKPSS #analysis #automation #fault #using
Automated optical detection of particles and defects on a Li-Ion-cell surface using a single-point analysis (GL, AK, SP, AS, SS), pp. 675–680.
CASECASE-2013-LinG #framework #network #optimisation #synthesis
Synthesis and optimization of a Bayesian belief network based observation platform for anomaly detection under partial and unreliable observations (WCL, HEG), pp. 51–58.
CASECASE-2013-WeeklyRZBNS #low cost #matter
Low-cost coarse airborne particulate matter sensing for indoor occupancy detection (KW, DR, LZ, AMB, WWN, CJS), pp. 32–37.
CASECASE-2013-YanLS #fault #process #statistics
Fault detection of cooling coils based on unscented Kalman filters and statistical process control (YY, PBL, BS), pp. 237–242.
CASECASE-2013-ZhouL #realtime #throughput
Real time electricity demand response for sustainable manufacturing systems considering throughput bottleneck detection (ZZ, LL), pp. 640–644.
CGOCGO-2013-TanFG #fault #lightweight #source code
Lightweight fault detection in parallelized programs (LT, MF, RG), p. 11.
DACDAC-2013-LiaoHL #fault
GPU-based n-detect transition fault ATPG (KYL, SCH, JCML), p. 8.
DACDAC-2013-LinCLWC #fuzzy #novel
A novel fuzzy matching model for lithography hotspot detection (SYL, JYC, JCL, WYW, SCC), p. 6.
DACDAC-2013-WangK #control flow #hardware #kernel #named #performance #using
NumChecker: detecting kernel control-flow modifying rootkits by using hardware performance counters (XW, RK), p. 7.
DACDAC-2013-WeiP #hardware
The undetectable and unprovable hardware trojan horse (SW, MP), p. 2.
DACDAC-2013-YuLJC #classification #feature model #using
Machine-learning-based hotspot detection using topological classification and critical feature extraction (YTY, GHL, IHRJ, CC), p. 6.
DATEDATE-2013-AnanthanarayananGP #fault #low cost #set #using
Low cost permanent fault detection using ultra-reduced instruction set co-processors (SA, SG, HDP), pp. 933–938.
DATEDATE-2013-ChaG #approach #effectiveness #metric
Trojan detection via delay measurements: a new approach to select paths and vectors to maximize effectiveness and minimize cost (BC, SKG), pp. 1265–1270.
DATEDATE-2013-DeOrioLBB #debugging #machine learning
Machine learning-based anomaly detection for post-silicon bug diagnosis (AD, QL, MB, VB), pp. 491–496.
DATEDATE-2013-El-NacouziAPZJM #scalability
A dual grain hit-miss detector for large die-stacked DRAM caches (MEN, IA, MP, JZ, NDEJ, AM), pp. 89–92.
DATEDATE-2013-HuHMCF #fault #realtime
Fault detection, real-time error recovery, and experimental demonstration for digital microfluidic biochips (KH, BNH, AM, KC, RBF), pp. 559–564.
DATEDATE-2013-HuNRK #hardware #multimodal #using
High-sensitivity hardware trojan detection using multimodal characterization (KH, ANN, SR, FK), pp. 1271–1276.
DATEDATE-2013-KocBKE #fault
Exploiting replicated checkpoints for soft error detection and correction (FK, KB, BK, OE), pp. 1494–1497.
DATEDATE-2013-LinHLFGHM #challenge #fault #validation
Overcoming post-silicon validation challenges through quick error detection (QED) (DL, TH, YL, FF, DSG, NH, SM), pp. 320–325.
DATEDATE-2013-PontarelliOEW #fault #using
Error detection in ternary CAMs using bloom filters (SP, MO, AE, SJW), pp. 1474–1479.
DATEDATE-2013-SarrazinENBG #concurrent #design #fault #performance
Scan design with shadow flip-flops for low performance overhead and concurrent delay fault detection (SS, SE, LAdBN, YB, VG), pp. 1077–1082.
DATEDATE-2013-YalcinUC #fault #hardware #memory management #named #transaction #using
FaulTM: error detection and recovery using hardware transactional memory (GY, OSÜ, AC), pp. 220–225.
DATEDATE-2013-ZhaoLBT #manycore #probability #runtime
Run-time probabilistic detection of miscalibrated thermal sensors in many-core systems (JZ, S(L, WB, RT), pp. 1395–1398.
HPDCHPDC-2013-HeBTGGMS
I/O acceleration with pattern detection (JH, JB, AT, GG, GAG, CM, XHS), pp. 25–36.
HPDCHPDC-2013-ZhouTKB #automation #debugging #named #scalability
WuKong: automatically detecting and localizing bugs that manifest at large system scales (BZ, JT, MK, SB), pp. 131–142.
LCTESLCTES-2013-ChenY #comparison #fault #performance
Boosting efficiency of fault detection and recovery throughapplication-specific comparison and checkpointing (HC, CY), pp. 13–20.
PDPPDP-2013-GarbadeWSFU #fault #network
Impact of Message Based Fault Detectors on Applications Messages in a Network on Chip (AG, SW, SS, BF, TU), pp. 470–477.
PDPPDP-2013-GeleriTT #algorithm
Parallelizing Broad Phase Collision Detection Algorithms for Sampling Based Path Planners (FG, OT, HT), pp. 384–391.
PPoPPPPoPP-2013-CaiZWC #named #parallel #source code #thread
TeamWork: synchronizing threads globally to detect real deadlocks for multithreaded programs (YC, KZ, SW, WKC), pp. 311–312.
PPoPPPPoPP-2013-Chen #algorithm #fault #fault tolerance #named #online
Online-ABFT: an online algorithm based fault tolerance scheme for soft error detection in iterative methods (ZC), pp. 167–176.
PPoPPPPoPP-2013-LifflanderMK #fault tolerance #protocol #termination
Adoption protocols for fanout-optimal fault-tolerant termination detection (JL, PM, LVK), pp. 13–22.
PPoPPPPoPP-2013-ParkSI #concurrent #scalability #source code
Scalable data race detection for partitioned global address space programs (CSP, KS, CI), pp. 305–306.
SOSPSOSP-2013-KasikciZC #concurrent #crowdsourcing #named
RaceMob: crowdsourced data race detection (BK, CZ, GC), pp. 406–422.
STOCSTOC-2013-FeldmanGRVX #algorithm #bound #clique #statistics
Statistical algorithms and a lower bound for detecting planted cliques (VF, EG, LR, SV, YX), pp. 655–664.
TACASTACAS-2013-SongT #ltl #model checking
LTL Model-Checking for Malware Detection (FS, TT), pp. 416–431.
CAVCAV-2013-KroeningLW #approximate #c #performance #source code
Under-Approximating Loops in C Programs for Fast Counterexample Detection (DK, ML, GW), pp. 381–396.
ICLPICLP-J-2013-CatB #dependence #functional #generative
Detection and exploitation of functional dependencies for model generation (BdC, MB), pp. 471–485.
ICSTICST-2013-ChristakisGS #concurrent #erlang #fault #source code #testing
Systematic Testing for Detecting Concurrency Errors in Erlang Programs (MC, AG, KFS), pp. 154–163.
ICSTICST-2013-GreilerDS #automation #smell
Automated Detection of Test Fixture Strategies and Smells (MG, AvD, MADS), pp. 322–331.
ISSTAISSTA-2013-RadoiD #concurrent #java #parallel
Practical static race detection for Java parallel loops (CR, DD), pp. 178–190.
ICSTSAT-2013-MisraORS #bound #set
Upper and Lower Bounds for Weak Backdoor Set Detection (NM, SO, VR, SS), pp. 394–402.
WICSA-ECSAWICSA-ECSA-2012-AstekinS #analysis #clone detection #simulation
Utilizing Clone Detection for Domain Analysis of Simulation Systems (MA, HS), pp. 287–291.
DRRDRR-2012-FengY #component #composition #documentation #using
Using connected component decomposition to detect straight line segments in documents (XF, AY).
DRRDRR-2012-Silva #algorithm #evaluation #using
Using specific evaluation for comparing and combining competing algorithms: applying it to table column detection (ACeS).
HTHT-2012-ChakrabortyGG #community #folksonomy
Detecting overlapping communities in folksonomies (AC, SG, NG), pp. 213–218.
HTHT-2012-FlockVS #wiki
Revisiting reverts: accurate revert detection in wikipedia (FF, DV, ES), pp. 3–12.
HTHT-2012-JainHVYS #linked data #open data
Moving beyond SameAs with PLATO: partonomy detection for linked data (PJ, PH, KV, PZY, APS), pp. 33–42.
HTHT-2012-LimD #community #twitter
Following the follower: detecting communities with common interests on twitter (KHL, AD), pp. 317–318.
HTHT-2012-NakajimaZIN #analysis #scalability
Early detection of buzzwords based on large-scale time-series analysis of blog entries (SN, JZ, YI, RYN), pp. 275–284.
HTHT-2012-SofeanS #architecture #design #evaluation #implementation #network #realtime #social #using
A real-time architecture for detection of diseases using social networks: design, implementation and evaluation (MS, MS), pp. 309–310.
JCDLJCDL-2012-BogenFS #evaluation
A quantitative evaluation of techniques for detection of abnormal change events in blogs (PLBI, RF, FS), pp. 157–166.
SIGMODSIGMOD-2012-ZellagK #consistency #named #realtime
ConsAD: a real-time consistency anomalies detector (KZ, BK), pp. 641–644.
TPDLTPDL-2012-SumbanaGSAV #automation #classification #wiki
Automatic Vandalism Detection in Wikipedia with Active Associative Classification (MS, MAG, RSO, JMA, AV), pp. 138–143.
VLDBVLDB-2012-Bidoit-TolluCU #independence #type system #xml
Type-Based Detection of XML Query-Update Independence (NBT, DC, FU), pp. 872–883.
VLDBVLDB-2012-GraefeK #database
Definition, Detection, and Recovery of Single-Page Failures, a Fourth Class of Database Failures (GG, HAK), pp. 646–655.
ITiCSEITiCSE-2012-PoonSTK #corpus #source code
Instructor-centric source code plagiarism detection and plagiarism corpus (JYHP, KS, YFT, MYK), pp. 122–127.
CSMRCSMR-2012-BinunK #design pattern #named
DPJF — Design Pattern Detection with High Accuracy (AB, GK), pp. 245–254.
CSMRCSMR-2012-DeissenboeckHHW #challenge
Challenges of the Dynamic Detection of Functionally Similar Code Fragments (FD, LH, BH, SW), pp. 299–308.
CSMRCSMR-2012-FontanaCZ #benchmark #design pattern #metric #named #tool support
DPB: A Benchmark for Design Pattern Detection Tools (FAF, AC, MZ), pp. 235–244.
CSMRCSMR-2012-KaushikT #case study #comparative #debugging #information retrieval #modelling #performance
A Comparative Study of the Performance of IR Models on Duplicate Bug Detection (NK, LT), pp. 159–168.
CSMRCSMR-2012-Koschke #clone detection #scalability #using
Large-Scale Inter-System Clone Detection Using Suffix Trees (RK), pp. 309–318.
CSMRCSMR-2012-NadiH #linux #mining #variability
Mining Kbuild to Detect Variability Anomalies in Linux (SN, RCH), pp. 107–116.
ICPCICPC-2012-HauptmannJEJV #clone detection #comprehension #question
Can clone detection support test comprehension? (BH, MJ, SE, EJ, RV), pp. 209–218.
ICPCICPC-2012-Keivanloo #clone detection #code search #source code
Leveraging clone detection for Internet-scale source code search (IK), pp. 277–280.
ICPCICPC-2012-KeivanlooRR #clone detection #named #semantics
SeByte: A semantic clone detection tool for intermediate languages (IK, CKR, JR), pp. 247–249.
ICPCICPC-2012-SajnaniOL #clone detection #parallel #pipes and filters #using
Parallel code clone detection using MapReduce (HS, JO, CVL), pp. 261–262.
ICSMEICSM-2012-Al-KofahiNNNN #semantics
Detecting semantic changes in Makefile build code (JMAK, HVN, ATN, TTN, TNN), pp. 150–159.
ICSMEICSM-2012-AlalfiCDSS #clone detection #modelling
Models are code too: Near-miss clone detection for Simulink models (MHA, JRC, TRD, MS, AS), pp. 295–304.
ICSMEICSM-2012-FadhelKLW #search-based
Search-based detection of high-level model changes (AbF, MK, PL, MW), pp. 212–221.
ICSMEICSM-2012-HermansPD #smell #spreadsheet
Detecting code smells in spreadsheet formulas (FH, MP, AvD), pp. 409–418.
ICSMEICSM-2012-HigoK #consistency #how #nondeterminism
How often do unintended inconsistencies happen? Deriving modification patterns and detecting overlooked code fragments (YH, SK), pp. 222–231.
ICSMEICSM-2012-RamaKVP #source code #version control
Version history based source code plagiarism detection in proprietary systems (GMR, DK, SAV, SP), pp. 609–612.
ICSMEICSM-2012-TangWZL #maintenance
Time-leverage point detection for time sensitive software maintenance (ET, LW, JZ, XL), pp. 567–570.
ICSMEICSM-2012-ThungLJ #collaboration
Detecting similar applications with collaborative tagging (FT, DL, LJ), pp. 600–603.
ICSMEICSM-2012-ZouG #algorithm #automation #case study #industrial #what #why
An industrial case study of Coman’s automated task detection algorithm: What Worked, What Didn’t, and Why (LZ, MWG), pp. 6–14.
MSRMSR-2012-Breckel #comparison #database #debugging #fault #mining #scalability
Error mining: Bug detection through comparison with large code databases (AB), pp. 175–178.
SCAMSCAM-2012-GethersAP #concept #database #dependence
Combining Conceptual and Domain-Based Couplings to Detect Database and Code Dependencies (MG, AA, DP), pp. 144–153.
SCAMSCAM-2012-MurakamiHHIK #clone detection
Folding Repeated Instructions for Improving Token-Based Code Clone Detection (HM, KH, YH, HI, SK), pp. 64–73.
WCREWCRE-2012-Al-OmariKRR #dot-net #programming language
Detecting Clones Across Microsoft .NET Programming Languages (FAO, IK, CKR, JR), pp. 405–414.
WCREWCRE-2012-DurfinaKZK #decompiler
Detection and Recovery of Functions and their Arguments in a Retargetable Decompiler (LD, JK, PZ, BK), pp. 51–60.
WCREWCRE-2012-GauthierM #data access #performance #php
Fast Detection of Access Control Vulnerabilities in PHP Applications (FG, EM), pp. 247–256.
WCREWCRE-2012-HemelK #case study #clone detection #linux #reverse engineering #source code #using #variability
Reverse Engineering Variability in Source Code Using Clone Detection: A Case Study for Linux Variants of Consumer Electronic Devices (AH, RK), pp. 357–366.
WCREWCRE-2012-IshiharaHHIK #clone detection #empirical #functional #library #towards
Inter-Project Functional Clone Detection Toward Building Libraries — An Empirical Study on 13, 000 Projects (TI, KH, YH, HI, SK), pp. 387–391.
WCREWCRE-2012-JanaN #dynamic analysis #precise #using
Precise Detection of Uninitialized Variables Using Dynamic Analysis — Extending to Aggregate and Vector Types (AJ, RN), pp. 197–201.
WCREWCRE-2012-LavoieKMZ #clone detection #nearest neighbour #repository #using
Inferring Repository File Structure Modifications Using Nearest-Neighbor Clone Detection (TL, FK, EM, YZ), pp. 325–334.
WCREWCRE-2012-MaigaABSGA #anti #approach #incremental #named
SMURF: A SVM-based Incremental Anti-pattern Detection Approach (AM, NA, NB, AS, YGG, EA), pp. 466–475.
ICALPICALP-v1-2012-LaplanteLR #bound #quantum
Classical and Quantum Partition Bound and Detector Inefficiency (SL, VL, JR), pp. 617–628.
FMFM-2012-SongT #model checking #performance #using
Efficient Malware Detection Using Model-Checking (FS, TT), pp. 418–433.
IFMIFM-2012-HoomanMW #abstraction #fault #industrial #modelling #using
Early Fault Detection in Industry Using Models at Various Abstraction Levels (JH, AJM, HvW), pp. 268–282.
IFMIFM-2012-TianBB #behaviour #game studies #multi
Behaviour-Based Cheat Detection in Multiplayer Games with Event-B (HT, PJB, AGB), pp. 206–220.
AIIDEAIIDE-2012-BarikHRJ #game studies #social
Spatial Game Signatures for Bot Detection in Social Games (TB, BEH, DLR, XJ).
CoGVS-Games-2012-AsteriadisKSY #behaviour #clustering #towards #using #visual notation
Towards Detecting Clusters of Players using Visual and Gameplay Behavioral Cues (SA, KK, NS, GNY), pp. 140–147.
CHICHI-2012-HollandKT #algorithm #identification #usability #visual notation
Identifying usability issues via algorithmic detection of excessive visual search (CH, OK, DET), pp. 2943–2952.
CHICHI-2012-ViS #design #interactive
Detecting error-related negativity for interaction design (CV, SS), pp. 493–502.
CSCWCSCW-2012-LiuBS #collaboration #design #product line
Conflict detection and resolution for product line design in a collaborative decision making environment (X(L, ECB, JES), pp. 1327–1336.
EDOCEDOC-2012-CostaMPA #approach #modelling #rule-based
A Model-Driven Approach to Situations: Situation Modeling and Rule-Based Situation Detection (PDC, ITM, IP, JPAA), pp. 154–163.
EDOCEDOC-2012-HarrisonBADN #framework #identification
A Framework for Detecting Malware in Cloud by Identifying Symptoms (KH, BB, STTA, CID, APN), pp. 164–172.
ICEISICEIS-v3-2012-WangWZLW #modelling #process
Detecting Infeasible Traces in Process Models (ZW, LW, XZ, YL, JW), pp. 212–217.
CIKMCIKM-2012-AkogluTVF #category theory #performance #reliability
Fast and reliable anomaly detection in categorical data (LA, HT, JV, CF), pp. 415–424.
CIKMCIKM-2012-BaeJKL #using
Outlier detection using centrality and center-proximity (DHB, SJ, SWK, ML), pp. 2251–2254.
CIKMCIKM-2012-CaballeroBA #topic
The generalized dirichlet distribution in enhanced topic detection (KLCE, JB, RA), pp. 773–782.
CIKMCIKM-2012-ComarLSNT #kernel #linear
Weighted linear kernel with tree transformed features for malware detection (PMC, LL, SS, AN, PNT), pp. 2287–2290.
CIKMCIKM-2012-HuangQYY #algorithm #robust
Local anomaly descriptor: a robust unsupervised algorithm for anomaly detection based on diffusion space (HH, HQ, SY, DY), pp. 405–414.
CIKMCIKM-2012-LiSD #named #twitter
Twevent: segment-based event detection from tweets (CL, AS, AD), pp. 155–164.
CIKMCIKM-2012-QahtanZW #estimation #performance
Efficient estimation of dynamic density functions with an application to outlier detection (AAQ, XZ, SW), pp. 2159–2163.
CIKMCIKM-2012-TangY #named #roadmap #social #social media #statistics #topic
TUT: a statistical model for detecting trends, topics and user interests in social media (XT, CCY), pp. 972–981.
CIKMCIKM-2012-XiangFWHR #corpus #scalability #topic #twitter
Detecting offensive tweets via topical feature discovery over a large scale twitter corpus (GX, BF, LW, JIH, CPR), pp. 1980–1984.
ECIRECIR-2012-BosmaMW #framework #network #social
A Framework for Unsupervised Spam Detection in Social Networking Sites (MB, EM, WW), pp. 364–375.
ECIRECIR-2012-PolajnarGA
Detection of News Feeds Items Appropriate for Children (TP, RG, LA), pp. 63–72.
ICMLICML-2012-BiessmannPBH #canonical #roadmap #web
Canonical Trends: Detecting Trend Setters in Web Data (FB, JMP, MLB, AH), p. 170.
ICMLICML-2012-MalisiewiczSGE #image #retrieval #visual notation
Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval (TM, AS, AG, AAE), p. 4.
ICPRICPR-2012-AhmedC #robust
A robust person detector for overhead views (IA, JNC), pp. 1483–1486.
ICPRICPR-2012-AjmeraD #analysis #word
Combining text and prosodic analysis for prominent word detection (JA, ODD), pp. 1534–1537.
ICPRICPR-2012-BagdanovBLM #multi
Multi-pose face detection for accurate face logging (ADB, ADB, GL, IM), pp. 2448–2451.
ICPRICPR-2012-BaiZX #linear #multi
Multi scale multi structuring element top-hat transform for linear feature detection (XB, FZ, BX), pp. 1920–1923.
ICPRICPR-2012-BarbulescuGGMR #2d #3d #estimation #using
3D human pose estimation using 2D body part detectors (AB, WG, JG, TBM, FXR), pp. 2484–2487.
ICPRICPR-2012-BurghoutsS #correlation
Correlations between 48 human actions improve their detection (GJB, KS), pp. 3815–3818.
ICPRICPR-2012-ChengLWTCBWS
Peripapillary atrophy detection by biologically inspired feature (JC, JL, DWKW, NMT, CYlC, MB, TYW, SMS), pp. 53–56.
ICPRICPR-2012-ChenYZZ #bound #network
Detecting occlusion boundaries via saliency network (DC, ZY, GZ, NZ), pp. 2569–2572.
ICPRICPR-2012-CheungP #using
Salient region detection using local and global saliency (YmC, QP), pp. 210–213.
ICPRICPR-2012-ChoKKA #kernel
Bilateral kernel-based Region Detector (WC, SYK, AK, MAA), pp. 750–753.
ICPRICPR-2012-ChowdhuryBP #using
Scene text detection using sparse stroke information and MLP (ARC, UB, SKP), pp. 294–297.
ICPRICPR-2012-DahmBCG #morphism
Topological features and iterative node elimination for speeding up subgraph isomorphism detection (ND, HB, TC, YG), pp. 1164–1167.
ICPRICPR-2012-DaiFZ #mining
Mining sub-categories for object detection (JD, JF, JZ), pp. 3260–3263.
ICPRICPR-2012-DeshmukhRSL
Vocalization patterns of dairy animals to detect animal state (OD, NR, YS, SL), pp. 254–257.
ICPRICPR-2012-DinhLLRD #image #multi
Training data selection for cancer detection in multispectral endoscopy images (VCD, ML, RL, OR, RPWD), pp. 161–164.
ICPRICPR-2012-DuongDNLDLS #eye tracking #locality #robust #video
Robust eye localization in video by combining eye detector and eye tracker (CND, TCPD, TDN, DDL, DAD, BHL, SS), pp. 242–245.
ICPRICPR-2012-FelhiBT #image
A skeleton based descriptor for detecting text in real scene images (MF, NB, ST), pp. 282–285.
ICPRICPR-2012-FengB #concept #image #semantics
Utilizing co-occurrence patterns for semantic concept detection in images (LF, BB), pp. 2918–2921.
ICPRICPR-2012-GaoM #analysis #canonical #correlation #kernel #multi #using
Multi-modality movie scene detection using Kernel Canonical Correlation Analysis (GG, HM), pp. 3074–3077.
ICPRICPR-2012-GerogiannisNL #image #performance
Fast and efficient vanishing point detection in indoor images (DG, CN, AL), pp. 3244–3247.
ICPRICPR-2012-GhianiMR #liveness
Fingerprint liveness detection by local phase quantization (LG, GLM, FR), pp. 537–540.
ICPRICPR-2012-GlazerLM
Feature shift detection (AG, ML, SM), pp. 1383–1386.
ICPRICPR-2012-Goldstein #algorithm #named
FastLOF: An Expectation-Maximization based Local Outlier detection algorithm (MG), pp. 2282–2285.
ICPRICPR-2012-GuermaziVB #image #multi
Matching of multi-resolution image for remote sensing glacier detection (AG, LV, PB), pp. 3406–3410.
ICPRICPR-2012-GuR
Shadow detection via Rayleigh scattering and Mie theory (LG, ARK), pp. 2165–2168.
ICPRICPR-2012-GuyonBZ #constraints #matrix #rank #robust
Foreground detection via robust low rank matrix factorization including spatial constraint with Iterative reweighted regression (CG, TB, EHZ), pp. 2805–2808.
ICPRICPR-2012-HardingHCLC #automation #image
Automated detection of skeletal muscle twitches from B-mode ultrasound images: An application to motor neuron disease (PJH, EFHT, RC, IL, NC), pp. 2630–2633.
ICPRICPR-2012-Ho #approach #effectiveness
An effective vortex detection approach for velocity vector field (SSH), pp. 2643–2646.
ICPRICPR-2012-HuangA #analysis #perspective
Saliency detection via divergence analysis: A unified perspective (JBH, NA), pp. 2748–2751.
ICPRICPR-2012-HuangL #analysis #automation #component #independence
Automated mitosis detection based on eXclusive Independent Component Analysis (CHH, HKL), pp. 1856–1859.
ICPRICPR-2012-HuangLW #clustering #incremental
Incremental support vector clustering with outlier detection (DH, JHL, CDW), pp. 2339–2342.
ICPRICPR-2012-HuangOSU #framework #multi #recognition
Scene character detection and recognition based on multiple hypotheses framework (RH, SO, PS, SU), pp. 717–720.
ICPRICPR-2012-IkemuraF #using
Human detection by Haar-like filtering using depth information (SI, HF), pp. 813–816.
ICPRICPR-2012-ItoOWK
Detection of eyes by circular Hough transform and histogram of gradient (YI, WO, TW, FK), pp. 1795–1798.
ICPRICPR-2012-JiangES #estimation #integration #performance #robust
Efficient and robust integration of face detection and head pose estimation (FJ, HKE, BES), pp. 1578–1581.
ICPRICPR-2012-JiangFZT #random
Active Shape Model with random forest for facial features detection (WJ, YF, ZZ, YT), pp. 593–596.
ICPRICPR-2012-KataokaSM #using
Region of Interest detection using indoor structure and saliency map (KK, KS, MM), pp. 3329–3332.
ICPRICPR-2012-KennardBS #2d #approach #geometry #using #verification
Offline signature verification and forgery detection using a 2-D geometric warping approach (DJK, WAB, TWS), pp. 3733–3736.
ICPRICPR-2012-KhanER #image
A Gamma-Gaussian mixture model for detection of mitotic cells in breast cancer histopathology images (AMK, HED, NMR), pp. 149–152.
ICPRICPR-2012-KunchevaF #feature model #multi #streaming
PCA feature extraction for change detection in multidimensional unlabelled streaming data (LIK, WJF), pp. 1140–1143.
ICPRICPR-2012-LankinenKK #categorisation #comparison #visual notation
A comparison of local feature detectors and descriptors for visual object categorization by intra-class repeatability and matching (JL, VK, JKK), pp. 780–783.
ICPRICPR-2012-LeeLM #realtime #smarttech
Real-time staircase detection from a wearable stereo system (YHL, TSL, GGM), pp. 3770–3773.
ICPRICPR-2012-LePB #navigation #people
Pedestrian lane detection for assistive navigation of blind people (MCL, SLP, AB), pp. 2594–2597.
ICPRICPR-2012-LiL
Scene text detection via stroke width (YL, HL), pp. 681–684.
ICPRICPR-2012-LiP
Anomalous tie plate detection for railroad inspection (YL, SP), pp. 3017–3020.
ICPRICPR-2012-LiSY #invariant
A Fully Affine Invariant Feature detector (WL, ZS, JY), pp. 2768–2771.
ICPRICPR-2012-LiuL #analysis #learning #multi
Unsupervised multi-target trajectory detection, learning and analysis in complicated environments (HL, JL), pp. 3716–3720.
ICPRICPR-2012-LiuSZWBCT #bound
Joint shot boundary detection and key frame extraction (XL, MS, LZ, SW, JB, CC, DT), pp. 2565–2568.
ICPRICPR-2012-MaB #multi
Multi-view multi-class object detection via exemplar compounding (KM, JBA), pp. 3256–3259.
ICPRICPR-2012-MadabusiG #image
Edge detection for facial images under noisy conditions (SM, SVG), pp. 2689–2693.
ICPRICPR-2012-MaLXS #image #using
Anomaly detection with spatio-temporal context using depth images (XM, TL, FX, FS), pp. 2590–2593.
ICPRICPR-2012-MartelliCBTM #paradigm #similarity
Joining feature-based and similarity-based pattern description paradigms for object detection (SM, MC, LB, DT, VM), pp. 2702–2705.
ICPRICPR-2012-McCloskeyD #metadata #process #using #video
Activity detection in the wild using video metadata (SM, PD), pp. 3140–3143.
ICPRICPR-2012-MiksikM #evaluation #performance
Evaluation of local detectors and descriptors for fast feature matching (OM, KM), pp. 2681–2684.
ICPRICPR-2012-MinagawaKTH #automation
A color chart detection method for automatic color correction (AM, YK, HT, YH), pp. 1912–1915.
ICPRICPR-2012-MinKCK #approach #higher-order #using
A superpixel MRF approach using high-order likelihood for moving object detection (JM, HK, JC, ISK), pp. 266–269.
ICPRICPR-2012-MogelmoseTM #comparative #dataset #evaluation #learning
Learning to detect traffic signs: Comparative evaluation of synthetic and real-world datasets (AM, MMT, TBM), pp. 3452–3455.
ICPRICPR-2012-NarayanamN #algorithm #community #distributed #game studies #graph #information management #social
A game theory inspired, decentralized, local information based algorithm for community detection in social graphs (RN, YN), pp. 1072–1075.
ICPRICPR-2012-NguyenPRPV #multi #segmentation #video
Multi-modal abnormality detection in video with unknown data segmentation (TVN, DQP, SR, DSP, SV), pp. 1322–1325.
ICPRICPR-2012-NiigakiSM #using
Circular object detection based on separability and uniformity of feature distributions using Bhattacharyya Coefficient (HN, JS, MM), pp. 2009–2012.
ICPRICPR-2012-Ohtsuka #analysis
Advanced ridge flux analysis for fingerprint minutiae detection (TO), pp. 1225–1228.
ICPRICPR-2012-PanZXQ #2d #category theory
Improved generic categorical object detection fusing depth cue with 2D appearance and shape features (HP, YZ, SX, KQ), pp. 1467–1470.
ICPRICPR-2012-PhamDBR #image #re-engineering
Accurate junction detection and reconstruction in line-drawing images (TAP, MD, SB, JYR), pp. 693–696.
ICPRICPR-2012-PhanST #symmetry #using
Text detection in natural scenes using Gradient Vector Flow-Guided symmetry (TQP, PS, CLT), pp. 3296–3299.
ICPRICPR-2012-RadwanDG #estimation
Correcting pose estimation with implicit occlusion detection and rectification (IR, AD, RG), pp. 3496–3499.
ICPRICPR-2012-RoyG #framework #image #locality #probability
A probabilistic framework for logo detection and localization in natural scene images (AR, UG), pp. 2051–2054.
ICPRICPR-2012-RoyH #classification #component #documentation #image #using
Text detection on camera acquired document images using supervised classification of connected components in wavelet domain (UR, GH), pp. 270–273.
ICPRICPR-2012-SakaiKMK #robust
Robust detection of adventitious lung sounds in electronic auscultation signals (TS, MK, SM, SK), pp. 1993–1996.
ICPRICPR-2012-SanLH
Constrained-MSER detection of retinal pathology (GLYS, MLL, WH), pp. 2059–2062.
ICPRICPR-2012-Schmidt-HackenbergYB #image #visual notation
Visual cortex inspired features for object detection in X-ray images (LSH, MRY, TMB), pp. 2573–2576.
ICPRICPR-2012-SharmaHN #classification #incremental #learning #performance
Efficient incremental learning of boosted classifiers for object detection (PS, CH, RN), pp. 3248–3251.
ICPRICPR-2012-ShaukatGWB #approach #bottom-up #top-down
Meeting in the Middle: A top-down and bottom-up approach to detect pedestrians (AS, AG, DW, RB), pp. 874–877.
ICPRICPR-2012-ShiLBH
Context-driven moving vehicle detection in wide area motion imagery (XS, HL, EB, WH), pp. 2512–2515.
ICPRICPR-2012-ShinPJB #using
Moving objects detection using freely moving depth sensing camera (YDS, JHP, GRJ, MB), pp. 1314–1317.
ICPRICPR-2012-SiddiquieFDD #invariant
Unsupervised model selection for view-invariant object detection in surveillance environments (BS, RSF, AD, LSD), pp. 3252–3255.
ICPRICPR-2012-SimoesSW #image #using
Using local texture maps of brain MR images to detect Mild Cognitive Impairment (RS, CHS, AMvCvW), pp. 153–156.
ICPRICPR-2012-SjobergKIL #classification #concept #linear #realtime #scalability #visual notation
Real-time large-scale visual concept detection with linear classifiers (MS, MK, SI, JL), pp. 421–424.
ICPRICPR-2012-SommerFHG #image
Learning-based mitotic cell detection in histopathological images (CS, LF, FAH, DG), pp. 2306–2309.
ICPRICPR-2012-SoranHLS #using
Tremor detection using motion filtering and SVM (BS, JNH, SIL, LGS), pp. 178–181.
ICPRICPR-2012-SpampinatoP #performance
Enhancing object detection performance by integrating motion objectness and perceptual organization (CS, SP), pp. 3640–3643.
ICPRICPR-2012-SrikanthaSM #approach #image
An SVD-based approach for ghost detection and removal in high dynamic range images (AS, DS, FM), pp. 380–383.
ICPRICPR-2012-StrokinaMELK
Detection of bubbles as Concentric Circular Arrangements (NS, JM, TE, LL, HK), pp. 2655–2659.
ICPRICPR-2012-TangHW #multi #recognition
Hand-dorsa vein recognition based on multi-level keypoint detection and local feature matching (YT, DH, YW), pp. 2837–2840.
ICPRICPR-2012-TangW #semantics
Semantic Hough Transform based object detection with Partial Least Squares (JT, HW), pp. 3652–3655.
ICPRICPR-2012-ThanhMNMY #recognition #robust #using
Inertial-sensor-based walking action recognition using robust step detection and inter-class relationships (TNT, YM, HN, YM, YY), pp. 3811–3814.
ICPRICPR-2012-TiribuziPVR #framework #kernel #learning #multi
A Multiple Kernel Learning framework for detecting altered fingerprints (MT, MP, PV, ER), pp. 3402–3405.
ICPRICPR-2012-Ugurlu #using
Head posture detection using skin and hair information (YU), pp. 1–4.
ICPRICPR-2012-VazquezLP #adaptation
Unsupervised domain adaptation of virtual and real worlds for pedestrian detection (DV, AML, DP), pp. 3492–3495.
ICPRICPR-2012-VitaladevuniCPN #documentation #image #using
Detecting near-duplicate document images using interest point matching (SNPV, FC, RP, PN), pp. 347–350.
ICPRICPR-2012-WakayamaDDIMT #estimation #performance #visual notation
Estimation of the human performance for pedestrian detectability based on visual search and motion features (MW, DD, KD, II, HM, YT), pp. 1940–1943.
ICPRICPR-2012-WangBLST #re-engineering
Detecting discontinuities for surface reconstruction (YW, JB, NL, MS, PT), pp. 2108–2111.
ICPRICPR-2012-WangCCP #realtime #using
Real-time smoke detection using texture and color features (YW, TWC, RC, NTP), pp. 1727–1730.
ICPRICPR-2012-WangGL #image
A new depth descriptor for pedestrian detection in RGB-D images (NW, XG, JL), pp. 3688–3691.
ICPRICPR-2012-WangPLQHJ
Color Maximal-Dissimilarity Pattern for pedestrian detection (QW, JP, GL, LQ, QH, SJ), pp. 1952–1955.
ICPRICPR-2012-WechtitschFS #fault #robust
Robust detection of single-frame defects in archived film (SW, HF, PS), pp. 2647–2650.
ICPRICPR-2012-WeibelDWR #graph #using
Contrast-enhancing seam detection and blending using graph cuts (TW, CD, DW, RR), pp. 2732–2735.
ICPRICPR-2012-WidhalmNB #smarttech
Transport mode detection with realistic Smartphone sensor data (PW, PN, NB), pp. 573–576.
ICPRICPR-2012-WongLTYLTCW #automation #image
Detecting the optic cup excavation in retinal fundus images by automatic detection of vessel kinking (DWKW, JL, NMT, FY, BHL, YCT, CYlC, TYW), pp. 73–76.
ICPRICPR-2012-XiaDG #invariant
An accurate and contrast invariant junction detector (GSX, JD, YG), pp. 2780–2783.
ICPRICPR-2012-XiangL #symmetry
Symmetric object detection based on symmetry and centripetal-SIFT edge descriptor (YX, SL), pp. 1403–1406.
ICPRICPR-2012-YamashitaTHNH #representation
Sparse representation of audio features for sputum detection from lung sounds (TY, ST, KH, YN, SH), pp. 2005–2008.
ICPRICPR-2012-YuYL #image
Ulcer detection in wireless capsule endoscopy images (LY, PCY, JHL), pp. 45–48.
ICPRICPR-2012-ZhangL #using
Arbitrarily oriented text detection using geodesic distances between corners and skeletons (YZ, JL), pp. 1896–1899.
ICPRICPR-2012-ZhangLC #analysis #multi #novel
A novel spatial-temporal multi-scale method for detection and analysis of infrared multiple moving objects (TZ, HL, JC), pp. 1884–1887.
ICPRICPR-2012-ZhangLM12a #adaptation #automation #clustering #fault
An adaptive unsupervised clustering of pronunciation errors for automatic pronunciation error detection (LZ, HL, LM), pp. 1521–1525.
ICPRICPR-2012-ZhangLMA #independence #statistics
A viewpoint-independent statistical method for fall detection (ZZ, WL, VM, VA), pp. 3626–3630.
ICPRICPR-2012-ZhangRZY #random
Contour detection via random forest (CZ, XR, YZ, MHY), pp. 2772–2775.
ICPRICPR-2012-ZhangWBZCZ #feature model
Object detection via foreground contour feature selection and part-based shape model (HZ, JW, XB, JZ, JC, HZ), pp. 2524–2527.
ICPRICPR-2012-ZhangWDP #linear
Skin detection via linear regression tree (JZ, HW, FD, CP), pp. 1711–1714.
ICPRICPR-2012-ZhangWN #feature model #student
Bayesian feature selection and model detection for student’s t-mixture distributions (HZ, QMJW, TMN), pp. 1631–1634.
ICPRICPR-2012-ZhangWSD #approach #effectiveness
A simple and effective saliency detection approach (HZ, WW, GS, LD), pp. 186–189.
ICPRICPR-2012-ZhangXY #bound #modelling
An improved surround suppression model based on orientation contrast for boundary detection (HZ, BX, JY), pp. 3086–3089.
ICPRICPR-2012-ZhangZHHT #mining #semantics
Semantic windows mining in sliding window based object detection (JZ, XZ, YH, KH, TT), pp. 3264–3267.
ICPRICPR-2012-ZhaoL #3d
Patch based saliency detection method for 3D surface simplification (YZ, YL), pp. 845–848.
ICPRICPR-2012-ZhaoZWL #graph #mobile #robust
Robust mobile spamming detection via graph patterns (YZ, ZZ, YW, JL), pp. 983–986.
ICPRICPR-2012-ZhouLYCL
Corner-surround Contrast for saliency detection (QZ, NL, YY, PC, WL), pp. 1423–1426.
KDDKDD-2012-BatalFHMH #mining #multi
Mining recent temporal patterns for event detection in multivariate time series data (IB, DF, JH, FM, MH), pp. 280–288.
KDDKDD-2012-DingKBKC #anti #communication #social
Intrusion as (anti)social communication: characterization and detection (QD, NK, PB, EDK, MC), pp. 886–894.
KDDKDD-2012-GuptaGSH #community #mining
Integrating community matching and outlier detection for mining evolutionary community outliers (MG, JG, YS, JH), pp. 859–867.
KDDKDD-2012-HiraiY #clustering #normalisation #using
Detecting changes of clustering structures using normalized maximum likelihood coding (SH, KY), pp. 343–351.
KDDKDD-2012-PhamP #algorithm #approximate
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data (NP, RP), pp. 877–885.
KDDKDD-2012-WuWCT #hybrid #named #recommendation
HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation (ZW, JW, JC, DT), pp. 985–993.
KDDKDD-2012-XieWLY #overview
Review spam detection via temporal pattern discovery (SX, GW, SL, PSY), pp. 823–831.
KDDKDD-2012-XingLHCHLLMZ #behaviour #chat #online #scalability #video
Scalable misbehavior detection in online video chat services (XX, YLL, SH, HC, RH, QL, XL, SM, YZ), pp. 552–560.
KDDKDD-2012-ZhangY #bound #community #matrix
Overlapping community detection via bounded nonnegative matrix tri-factorization (YZ, DYY), pp. 606–614.
KDIRKDIR-2012-HaanR
Detecting Temporally Related Arithmetical Patterns — An Extension of Complex Event Processing (RdH, MR), pp. 329–332.
KDIRKDIR-2012-LemnaruTCP #case study #classification #hybrid #network #problem
A Hybrid Solution for Imbalanced Classification Problems — Case Study on Network Intrusion Detection (CL, ATV, AC, RP), pp. 348–352.
KDIRKDIR-2012-SantosGSK #behaviour #finite
Finite Belief Fusion Model for Hidden Source Behavior Change Detection (ESJ, QG, EES, JK), pp. 17–24.
KEODKEOD-2012-FukumotoST #multi #summary #topic
Topic and Subject Detection in News Streams for Multi-document Summarization (FF, YS, AT), pp. 166–171.
MLDMMLDM-2012-GlodekSP #process #recognition
Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition (MG, FS, GP), pp. 394–404.
MLDMMLDM-2012-MaiorcaGC #pattern matching #pattern recognition #recognition
A Pattern Recognition System for Malicious PDF Files Detection (DM, GG, IC), pp. 510–524.
MLDMMLDM-2012-SyarifZPW
Application of Bagging, Boosting and Stacking to Intrusion Detection (IS, EZ, APB, GW), pp. 593–602.
SEKESEKE-2012-GallegosG #tool support
Tool Support for Anomaly Detection in Scientific Sensor Data (IG, AQG), pp. 678–683.
SEKESEKE-2012-MireslamiMF #behaviour #distributed
Detecting Emergent Behavior in Distributed Systems Caused by Overgeneralization (SM, MM, BHF), pp. 70–73.
SEKESEKE-2012-WangZWZZ #component #online
Online Anomaly Detection for Components in OSGi-based Software (TW, WZ, JW, JZ, HZ), pp. 188–193.
SIGIRSIGIR-2012-AlasiryLP #query
Detecting candidate named entities in search queries (AA, ML, AP), pp. 1049–1050.
SIGIRSIGIR-2012-JiangWLAW #alias #approach #learning #similarity #string #towards
Towards alias detection without string similarity: an active learning based approach (LJ, JW, PL, NA, MW), pp. 1155–1156.
SIGIRSIGIR-2012-Najork #scalability #web
Detecting quilted web pages at scale (MN), pp. 385–394.
SIGIRSIGIR-2012-NishidaHF #classification #probability #twitter #word
Improving tweet stream classification by detecting changes in word probability (KN, TH, KF), pp. 971–980.
SIGIRSIGIR-2012-ZhangWDH #learning #performance #reuse
Learning hash codes for efficient content reuse detection (QZ, YW, ZD, XH), pp. 405–414.
MODELSMoDELS-2012-FariasGL #aspect-oriented #consistency #empirical #nondeterminism
Evaluating the Impact of Aspects on Inconsistency Detection Effort: A Controlled Experiment (KF, AG, CJPdL), pp. 219–234.
MODELSMoDELS-2012-JacksonSB #constraints #declarative #fault #specification
Detecting Specification Errors in Declarative Languages with Constraints (EKJ, WS, NB), pp. 399–414.
ECOOPECOOP-2012-XuYR #data type #invariant #static analysis
Static Detection of Loop-Invariant Data Structures (G(X, DY, AR), pp. 738–763.
OOPSLAOOPSLA-2012-Effinger-DeanLCGB #concurrent #named
IFRit: interference-free regions for dynamic data-race detection (LED, BL, LC, DG, HJB), pp. 467–484.
OOPSLAOOPSLA-2012-LucasER #distributed #problem #sequence
Detecting problematic message sequences and frequencies in distributed systems (CL, SGE, DSR), pp. 915–926.
TOOLSTOOLS-EUROPE-2012-OlszakBJV #quantifier
Detection of Seed Methods for Quantification of Feature Confinement (AO, EB, BNJ, JV), pp. 252–268.
PLDIPLDI-2012-JinSSSL #comprehension #debugging #performance
Understanding and detecting real-world performance bugs (GJ, LS, XS, JS, SL), pp. 77–88.
PLDIPLDI-2012-NagarakatteBMM #concurrent #debugging #manycore
Multicore acceleration of priority-based schedulers for concurrency bug detection (SN, SB, MMKM, MM), pp. 543–554.
PLDIPLDI-2012-PetrovVSD #concurrent #web
Race detection for web applications (BP, MTV, MS, JD), pp. 251–262.
PLDIPLDI-2012-PradelG #automation #concurrent #precise #safety #thread
Fully automatic and precise detection of thread safety violations (MP, TRG), pp. 521–530.
PLDIPLDI-2012-RamanZSVY #concurrent #parallel #precise #scalability
Scalable and precise dynamic datarace detection for structured parallelism (RR, JZ, VS, MTV, EY), pp. 531–542.
POPLPOPL-2012-SmaragdakisESYF #concurrent #polynomial #predict
Sound predictive race detection in polynomial time (YS, JE, CS, JY, CF), pp. 387–400.
RERE-2012-FerrariG #using
Using collective intelligence to detect pragmatic ambiguities (AF, SG), pp. 191–200.
RERE-2012-KnaussDPC #requirements
Detecting and classifying patterns of requirements clarifications (EK, DD, GPC, JCH), pp. 251–260.
RERE-2012-YangRGWN #automation