BibSLEIGH — predict stem

Used together with:

model (244)
use (219)
base (182)
perform (148)
system (143)

Stem predict$ (all stems)

1546 papers:

CASE-2015-ArdakaniORJ #generative #predict #realtime #using: Real-time trajectory generation using model predictive control (MMGA, BO, AR, RJ), pp. 942–948.
CASE-2015-FarhanPWL #algorithm #machine learning #predict #using: Predicting individual thermal comfort using machine learning algorithms (AAF, KRP, BW, PBL), pp. 708–713.
CASE-2015-Jin0S #energy #pattern matching #pattern recognition #predict #recognition: Power prediction through energy consumption pattern recognition for smart buildings (MJ, LZ, CJS), pp. 419–424.
CASE-2015-JinQH #fault #geometry #predict: Out-of-plane geometric error prediction for additive manufacturing (YJ, SJQ, QH), pp. 918–923.
CASE-2015-LinZW #predict #realtime #using: Using real-time sensing data for predicting future state of building fires (CCL, GZ, LLW), pp. 1313–1318.
CASE-2015-LiuY #modelling #predict #self: A self-organizing method for predictive modeling with highly-redundant variables (GL, HY), pp. 1084–1089.
CASE-2015-LiuZ #adaptation #human-computer #modelling #predict #process: Adaptive predictive ANFIS based human arm movement modeling and control in machine-human cooperative GTAW process (YL, YZ), pp. 1465–1470.
CASE-2015-LuanH #3d #geometry #modelling #predict: Predictive modeling of in-plane geometric deviation for 3D printed freeform products (HL, QH), pp. 912–917.
CASE-2015-MeddouriDF #analysis #generative #induction #performance #predict #using: Performance analysis of an autonomous induction generator under different operating conditions using predictive control (SM, LAD, LF), pp. 1118–1124.
CASE-2015-NguyenWKLH #geometry #modelling #predict: Predictive models for the geometrical characteristics of channels milled by abrasive waterjet (TDN, JW, NMK, HL, QPH), pp. 1459–1464.
CASE-2015-NouaouriSA #data mining #mining #predict #problem: Evidential data mining for length of stay (LOS) prediction problem (IN, AS, HA), pp. 1415–1420.
CASE-2015-SustoM #approach #machine learning #multi #predict: Slow release drug dissolution profile prediction in pharmaceutical manufacturing: A multivariate and machine learning approach (GAS, SFM), pp. 1218–1223.
CASE-2015-WangZ #modelling #predict #simulation: A prediction method for interior temperature of grain storage via dynamics models: A simulation study (DW, XZ), pp. 1477–1483.
CASE-2015-ZakharovZYJ #algorithm #configuration management #distributed #fault tolerance #optimisation #performance #predict: A performance optimization algorithm for controller reconfiguration in fault tolerant distributed model predictive control (AZ, EZ, MY, SLJJ), pp. 886–891.
DATE-2015-BaldwinBRPB #analysis #array #predict #using: Gait analysis for fall prediction using hierarchical textile-based capacitive sensor arrays (RB, SB, RR, CP, NB), pp. 1293–1298.
DATE-2015-BaranowskiFKLTW #online #predict: On-line prediction of NBTI-induced aging rates (RB, FF, SK, CL, MBT, HJW), pp. 589–592.
DATE-2015-LaerEMWJ #multi #predict: Coherence based message prediction for optically interconnected chip multiprocessors (AVL, CE, MRM, PMW, TMJ), pp. 613–616.
DATE-2015-SinglaKUO #mobile #power management #predict: Predictive dynamic thermal and power management for heterogeneous mobile platforms (GS, GK, AKU, ÜYO), pp. 960–965.
DATE-2015-VargasQM #predict #question: OpenMP and timing predictability: a possible union? (RV, EQ, AM), pp. 617–620.
HT-2015-BurelMHA #behaviour #community #online #predict: Predicting Answering Behaviour in Online Question Answering Communities (GB, PM, YH, HA), pp. 201–210.
HT-2015-ChungL #framework #predict: A Long-Term Study of a Crowdfunding Platform: Predicting Project Success and Fundraising Amount (JC, KL), pp. 211–220.
HT-2015-PrasetyoH #predict: Twitter-based Election Prediction in the Developing World (NDP, CH), pp. 149–158.
SIGMOD-2015-HuangZYDLND0Z #big data #predict: Telco Churn Prediction with Big Data (YH, FZ, MY, KD, YL, BN, WD, QY, JZ), pp. 607–618.
SIGMOD-2015-PrasadFGMLXHR #data transfer #distributed #performance #predict #scalability: Large-scale Predictive Analytics in Vertica: Fast Data Transfer, Distributed Model Creation, and In-database Prediction (SP, AF, VG, JM, JL, VX, MH, IR), pp. 1657–1668.
SIGMOD-2015-ZhouT #named #predict: SMiLer: A Semi-Lazy Time Series Prediction System for Sensors (JZ, AKHT), pp. 1871–1886.
ITiCSE-2015-Cukierman #learning #predict #process #student: Predicting Success in University First Year Computing Science Courses: The Role of Student Participation in Reflective Learning Activities and in I-clicker Activities (DC), pp. 248–253.
TACAS-2015-ZengSLH #precise #predict: A Method for Improving the Precision and Coverage of Atomicity Violation Predictions (RZ, ZS, SL, XH), pp. 116–130.
ICSME-2015-NucciPSBOL #debugging #developer #on the #predict: On the role of developer’s scattered changes in bug prediction (DDN, FP, SS, GB, RO, ADL), pp. 241–250.
MSR-2015-AltingerSDW #dataset #embedded #fault #industrial #modelling #novel #predict: A Novel Industry Grade Dataset for Fault Prediction Based on Model-Driven Developed Automotive Embedded Software (HA, SS, YD, FW), pp. 494–497.
MSR-2015-ChoetkiertikulD #predict #risk management: Characterization and Prediction of Issue-Related Risks in Software Projects (MC, HKD, TT, AG), pp. 280–291.
MSR-2015-ErcanSB #automation #predict #stack overflow: Automatic Assessments of Code Explanations: Predicting Answering Times on Stack Overflow (SE, QS, AB), pp. 442–445.
MSR-2015-GoderieGGB #named #predict #stack overflow: ETA: Estimated Time of Answer Predicting Response Time in Stack Overflow (JG, BMG, BvG, AB), pp. 414–417.
MSR-2015-HashimotoTMM #effectiveness #fact extraction #optimisation #performance #predict: Extracting Facts from Performance Tuning History of Scientific Applications for Predicting Effective Optimization Patterns (MH, MT, TM, KM), pp. 13–23.
SANER-2015-XiaLMSH #co-evolution #predict: Cross-project build co-change prediction (XX, DL, SM, ES, AEH), pp. 311–320.
ICGT-2015-DrewesHM #parsing #predict #top-down: Predictive Top-Down Parsing for Hyperedge Replacement Grammars (FD, BH, MM), pp. 19–34.
CHI-2015-SutherlandHY #automation #predict: The Role of Environmental Predictability and Costs in Relying on Automation (SCS, CH, MEY), pp. 2535–2544.
CHI-2015-ZhangC #modelling #policy #predict #social #social media: Modeling Ideology and Predicting Policy Change with Social Media: Case of Same-Sex Marriage (AXZ, SC), pp. 2603–2612.
CHI-2015-ZugerF #developer #predict #using: Interruptibility of Software Developers and its Prediction Using Psycho-Physiological Sensors (MZ, TF), pp. 2981–2990.
CSCW-2015-FarrahiEC #community #mobile #predict: Predicting a Community’s Flu Dynamics with Mobile Phone Data (KF, RE, MC), pp. 1214–1221.
HCI-DE-2015-IgaTAF #predict: Study of Uninterruptible Duration Prediction Based on PC Operation (HI, TT, KA, KF), pp. 350–359.
HCI-IT-2015-MeleMR #communication #predict #type system #user interface: Beyond Direct Gaze Typing: A Predictive Graphic User Interface for Writing and Communicating by Gaze (MLM, DM, CER), pp. 66–77.
HCI-IT-2015-MijovicMMMKG #fault #human-computer #predict #towards: Towards Creation of Implicit HCI Model for Prediction and Prevention of Operators’ Error (PM, MM, MM, IM, VK, IG), pp. 341–352.
HCI-IT-2015-MullerLBSKSW #bibliography #data-driven #network #predict #using: Using Neural Networks for Data-Driven Backchannel Prediction: A Survey on Input Features and Training Techniques (MM, DL, LB, MS, KK, SS, AW), pp. 329–340.
HCI-UC-2015-FrauCT #mobile #predict #probability #prototype #visualisation: Graphic Visualization of Probabilistic Traffic/Trajectory Predictions in Mobile Applications. A First Prototype and Evaluations for General Aviation Purposes (GF, FDC, DT), pp. 154–164.
HIMI-IKD-2015-ArgyleLG #evaluation #predict: Evaluation of Data Display Methods in a Flash Flood Prediction Tool (EMA, CL, JJG), pp. 15–22.
LCT-2015-FlanaganYSH #fault #predict: Prediction of Learner Native Language by Writing Error Pattern (BF, CY, TS, SH), pp. 87–96.
SCSM-2015-GerritsenB #analysis #predict: Simulation-Based Prediction and Analysis of Collective Emotional States (CG, WRJvB), pp. 118–126.
ICEIS-v1-2015-PecliGPMFTTDFCG #learning #predict #problem #reduction: Dimensionality Reduction for Supervised Learning in Link Prediction Problems (AP, BG, CCP, CM, FF, FT, JT, MVD, SF, MCC, RRG), pp. 295–302.
ICEIS-v1-2015-VermaHBPD #enterprise #information management #predict #repository: Access Prediction for Knowledge Workers in Enterprise Data Repositories (CKV, MH, SB, APW, SD), pp. 150–161.
ICEIS-v2-2015-SariK #analysis #debugging #monitoring #predict: Bug Prediction for an ATM Monitoring Software — Use of Logistic Regression Analysis for Bug Prediction (ÖS, OK), pp. 382–387.
ECIR-2015-ChongDL #modelling #predict #topic #using: Prediction of Venues in Foursquare Using Flipped Topic Models (WHC, BTD, EPL), pp. 623–634.
ECIR-2015-JungL #approach #predict: A Discriminative Approach to Predicting Assessor Accuracy (HJJ, ML), pp. 159–171.
ECIR-2015-SadeghiBMSSV #predict #process: Predicting Re-finding Activity and Difficulty (SS, RB, PM, MS, FS, DV), pp. 715–727.
ICML-2015-AnavaHZ #online #predict: Online Time Series Prediction with Missing Data (OA, EH, AZ), pp. 2191–2199.
ICML-2015-GiguereRLM #algorithm #kernel #predict #problem #string: Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction (SG, AR, FL, MM), pp. 2021–2029.
ICML-2015-GlobersonRSY #how #predict #question: How Hard is Inference for Structured Prediction? (AG, TR, DS, CY), pp. 2181–2190.
ICML-2015-Hernandez-Lobato15a #constraints #optimisation #predict: Predictive Entropy Search for Bayesian Optimization with Unknown Constraints (JMHL, MAG, MWH, RPA, ZG), pp. 1699–1707.
ICML-2015-LeeY #category theory #predict #strict: Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions (TL, SY), pp. 2483–2492.
ICML-2015-LianHRLC #multi #predict #process: A Multitask Point Process Predictive Model (WL, RH, VR, JEL, LC), pp. 2030–2038.
ICML-2015-LiuY #graph #learning #predict: Bipartite Edge Prediction via Transductive Learning over Product Graphs (HL, YY), pp. 1880–1888.
ICML-2015-SteinhardtL15a #learning #modelling #predict: Learning Fast-Mixing Models for Structured Prediction (JS, PL), pp. 1063–1072.
KDD-2015-BabaKNKGIAKIHKS #low cost #predict: Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries (YB, HK, YN, EK, PPG, RIM, AA, MK, SI, TH, MK, SS, KK, KT, MS, MB, NU, MK, NN), pp. 1681–1690.
KDD-2015-BeutelAF #behaviour #detection #graph #modelling #predict: Graph-Based User Behavior Modeling: From Prediction to Fraud Detection (AB, LA, CF), pp. 2309–2310.
KDD-2015-CaruanaLGKSE #modelling #predict: Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission (RC, YL, JG, PK, MS, NE), pp. 1721–1730.
KDD-2015-DentonWPBF #hashtag #image #predict: User Conditional Hashtag Prediction for Images (ED, JW, MP, LDB, RF), pp. 1731–1740.
KDD-2015-DongZTCW #named #network #predict: CoupledLP: Link Prediction in Coupled Networks (YD, JZ, JT, NVC, BW), pp. 199–208.
KDD-2015-FeldmanNPR #mining #online #predict: Utilizing Text Mining on Online Medical Forums to Predict Label Change due to Adverse Drug Reactions (RF, ON, AP, BR), pp. 1779–1788.
KDD-2015-IkonomovskaJD #predict #realtime #using: Real-Time Bid Prediction using Thompson Sampling-Based Expert Selection (EI, SJ, AD), pp. 1869–1878.
KDD-2015-JiangZZY #e-commerce #predict #recommendation: Life-stage Prediction for Product Recommendation in E-commerce (PJ, YZ, YZ, QY), pp. 1879–1888.
KDD-2015-KimYTM #framework #predict #sequence: A Decision Tree Framework for Spatiotemporal Sequence Prediction (TK, YY, SLT, IM), pp. 577–586.
KDD-2015-LiCS #elicitation #predict: Predicting Voice Elicited Emotions (YL, JDC, LJS), pp. 1969–1978.
KDD-2015-LiLMWP #predict #timeline #twitter: Click-through Prediction for Advertising in Twitter Timeline (CL, YL, QM, DW, SP), pp. 1959–1968.
KDD-2015-MinorDC #algorithm #data-driven #evaluation #predict #process: Data-Driven Activity Prediction: Algorithms, Evaluation Methodology, and Applications (BM, JRD, DJC), pp. 805–814.
KDD-2015-NagarajanWBNBHT #analysis #predict: Predicting Future Scientific Discoveries Based on a Networked Analysis of the Past Literature (MN, ADW, BJB, IBN, SB, PJH, METD, SB, AKA, JJL, SR, CMB, CRP, LK, AML, AL, HZ, SB, GW, YC, LAD, WSS, OL), pp. 2019–2028.
KDD-2015-NoriKYII #modelling #multi #predict: Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care (NN, HK, KY, HI, YI), pp. 855–864.
KDD-2015-PotashBLMRWRJMG #health #modelling #predict: Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning (EP, JB, AL, SM, AR, JW, ER, EJ, RM, RG), pp. 2039–2047.
KDD-2015-Pratt #machine learning #predict #protocol #proving: Proof Protocol for a Machine Learning Technique Making Longitudinal Predictions in Dynamic Contexts (KBP), pp. 2049–2058.
KDD-2015-QiATSA #predict: State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness (GJQ, CA, DST, DMS, PA), pp. 945–954.
KDD-2015-SomanchiALEG #predict #using: Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records (SS, SA, AL, EE, RG), pp. 2119–2126.
KDD-2015-SunWH #approach #named #predict #risk management: LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management (ZS, FW, JH), pp. 1145–1154.
KDD-2015-TangQM #named #network #predict #scalability: PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks (JT, MQ, QM), pp. 1165–1174.
KDD-2015-VeeriahDQ #architecture #learning #predict: Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction (VV, RD, GJQ), pp. 1205–1214.
KDD-2015-WangCMBYR #predict: Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction (ZW, PC, SRM, JSB, JY, NR), pp. 1285–1294.
KDD-2015-WangYLXXCR #predict #using: Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data (YW, NJY, DL, LX, XX, EC, YR), pp. 1275–1284.
KDD-2015-WeiLMCRS #predict #using: Predicting Serves in Tennis using Style Priors (XW, PL, SM, PC, MR, SS), pp. 2207–2215.
KDD-2015-WuYC #predict #realtime: Predicting Winning Price in Real Time Bidding with Censored Data (WCHW, MYY, MSC), pp. 1305–1314.
KDD-2015-XuSB #learning #predict: Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction (TX, JS, JB), pp. 1345–1354.
KDD-2015-ZhaoEHRL #named #predict #process #self #twitter: SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity (QZ, MAE, HYH, AR, JL), pp. 1513–1522.
KDD-2015-ZhouM #approach #kernel #predict: Predicting Ambulance Demand: a Spatio-Temporal Kernel Approach (ZZ, DSM), pp. 2297–2303.
KDD-2015-ZhuYH #clustering #optimisation #predict: Co-Clustering based Dual Prediction for Cargo Pricing Optimization (YZ, HY, JH), pp. 1583–1592.
MLDM-2015-Al-SaleemAAB #education #mining #performance #predict #student: Mining Educational Data to Predict Students’ Academic Performance (MAS, NAK, SAO, GB), pp. 403–414.
MLDM-2015-DhulekarNOY #graph #learning #mining #predict: Seizure Prediction by Graph Mining, Transfer Learning, and Transformation Learning (ND, SN, BO, BY), pp. 32–52.
RecSys-2015-LiWTM #community #predict #rating #recommendation #social: Overlapping Community Regularization for Rating Prediction in Social Recommender Systems (HL, DW, WT, NM), pp. 27–34.
RecSys-2015-MaksaiGF #evaluation #metric #online #performance #predict #recommendation: Predicting Online Performance of News Recommender Systems Through Richer Evaluation Metrics (AM, FG, BF), pp. 179–186.
SEKE-2015-AssuncaoFLSV #automaton #generative #markov #modelling #named #network #predict #probability: SANGE — Stochastic Automata Networks Generator. A tool to efficiently predict events through structured Markovian models (JA, PF, LL, AS, JMV), pp. 581–584.
SEKE-2015-ChenM #empirical #fault #predict: An empirical study on predicting defect numbers (MC, YM), pp. 397–402.
SEKE-2015-FiondellaGL #automation #predict: A Smartphone-based System for Automated Congestion Prediction (LF, SSG, NL), pp. 195–200.
SEKE-2015-Murillo-MoreraJ #algorithm #approach #framework #learning #predict #search-based #using: A Software Defect-Proneness Prediction Framework: A new approach using genetic algorithms to generate learning schemes (JMM, MJ), pp. 445–450.
SEKE-2015-TunnellA #fault #modelling #predict #release planning #using: Using Time Series Models for Defect Prediction in Software Release Planning (JT, JA), pp. 451–454.
SEKE-2015-WangG #approach #hybrid #novel #predict: A Novel Hybrid Approach for Diarrhea Prediction (YW, JG), pp. 168–173.
SIGIR-2015-ArkhipovaGKS #evaluation #predict: Search Engine Evaluation based on Search Engine Switching Prediction (OA, LG, IK, PS), pp. 723–726.
SIGIR-2015-HeBVAR #evaluation #framework #predict #quality #ranking #refinement: Untangling Result List Refinement and Ranking Quality: a Framework for Evaluation and Prediction (JH, MB, APdV, LA, MdR), pp. 293–302.
SIGIR-2015-KongLLZCA #predict: Predicting Search Intent Based on Pre-Search Context (WK, RL, JL, AZ, YC, JA), pp. 503–512.
SIGIR-2015-LiKF #behaviour #matrix #predict: Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization (SL, JK, YF), pp. 875–878.
SIGIR-2015-LiuCTS0MZ #predict: Different Users, Different Opinions: Predicting Search Satisfaction with Mouse Movement Information (YL, YC, JT, JS, MZ, SM, XZ), pp. 493–502.
SIGIR-2015-SchuthHR #metric #predict: Predicting Search Satisfaction Metrics with Interleaved Comparisons (AS, KH, FR), pp. 463–472.
SIGIR-2015-SongNZAC #learning #multi #network #predict #social #volunteer: Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction (XS, LN, LZ, MA, TSC), pp. 213–222.
MoDELS-2015-KetataMFLC #migration #modelling #performance #predict: Performance prediction upon toolchain migration in model-based software (AK, CM, SF, JHL, KC), pp. 302–311.
POPL-2015-RaychevVK #predict: Predicting Program Properties from “Big Code” (VR, MTV, AK), pp. 111–124.
SAC-2015-AhrndtBFA #adaptation #predict: Predictability in human-agent cooperation: adapting to humans’ personalities (SA, BB, JF, SA), pp. 474–479.
SAC-2015-AlemerienM #metric #named #predict #usability #user interface #visual notation: SLC: a visual cohesion metric to predict the usability of graphical user interfaces (KA, KM), pp. 1526–1533.
SAC-2015-ChaudhuriMG #network #predict #using: QoS prediction for network data traffic using hierarchical modified regularized least squares rough support vector regression (AC, SM, SKG), pp. 659–661.
SAC-2015-LoffRM #predict #social #social media: Predicting well-being with geo-referenced data collected from social media platforms (JL, MR, BM), pp. 1167–1173.
SAC-2015-MakrisVV #classification #predict: Classification model for predicting cost slippage in governmental ICT projects (CM, PV, JV), pp. 1238–1241.
SAC-2015-ManhaesCZ #automation #performance #predict #source code #student #towards: Towards automatic prediction of student performance in STEM undergraduate degree programs (LMBM, SMSdC, GZ), pp. 247–253.
SAC-2015-SidneyMRH #performance #predict #set #similarity: Performance prediction for set similarity joins (CFS, DSM, LAR, TH), pp. 967–972.
SAC-2015-Valverde-Rebaza #modelling #naive bayes #network #online #predict #social: A naïve Bayes model based on ovelapping groups for link prediction in online social networks (JCVR, AV, LB, TdPF, AdAL), pp. 1136–1141.
SAC-2015-XuanLXT #empirical #fault #metric #predict #set #using: Evaluating defect prediction approaches using a massive set of metrics: an empirical study (XX, DL, XX, YT), pp. 1644–1647.
SAC-2015-XuYYHHK #multi #predict #using: Solar irradiance forecasting using multi-layer cloud tracking and numerical weather prediction (JX, SY, DY, DH, JH, PK), pp. 2225–2230.
SAC-2015-ZhangYLC #concept #debugging #mining #predict #repository: Predicting severity of bug report by mining bug repository with concept profile (TZ, GY, BL, ATSC), pp. 1553–1558.
ESEC-FSE-2015-JingWDQX #fault #learning #metric #predict #representation: Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning (XYJ, FW, XD, FQ, BX), pp. 496–507.
ESEC-FSE-2015-KimNYCK #api #fault #named #performance #predict #testing: REMI: defect prediction for efficient API testing (MK, JN, JY, SC, SK), pp. 990–993.
ESEC-FSE-2015-NamK #fault #predict: Heterogeneous defect prediction (JN, SK), pp. 508–519.
ESEC-FSE-2015-RosenGS #commit #predict #risk management: Commit guru: analytics and risk prediction of software commits (CR, BG, ES), pp. 966–969.
ESEC-FSE-2015-RotellaCG #predict #reliability: Predicting field reliability (PR, SC, DG), pp. 986–989.
ICSE-v1-2015-GhotraMH #classification #fault #modelling #performance #predict: Revisiting the Impact of Classification Techniques on the Performance of Defect Prediction Models (BG, SM, AEH), pp. 789–800.
ICSE-v1-2015-HuangLR #analysis #concurrent #named #predict: GPredict: Generic Predictive Concurrency Analysis (JH, QL, GR), pp. 847–857.
ICSE-v1-2015-PetersML #fault #named #predict #privacy: LACE2: Better Privacy-Preserving Data Sharing for Cross Project Defect Prediction (FP, TM, LL), pp. 801–811.
ICSE-v1-2015-Tantithamthavorn #fault #modelling #performance #predict: The Impact of Mislabelling on the Performance and Interpretation of Defect Prediction Models (CT, SM, AEH, AI, KiM), pp. 812–823.
ICSE-v2-2015-AndersonSD #case study #industrial #predict: Striving for Failure: An Industrial Case Study about Test Failure Prediction (JA, SS, HD), pp. 49–58.
ICSE-v2-2015-CaglayanTBHMC #fault #industrial #metric #predict #replication: Merits of Organizational Metrics in Defect Prediction: An Industrial Replication (BC, BT, ABB, MH, AM, EC), pp. 89–98.
ICSE-v2-2015-EtienneMAD #modelling #performance #predict #process #proving #trust: Improving Predictability, Efficiency and Trust of Model-Based Proof Activity (JFÉ, MM, FA, VD), pp. 139–148.
ICSE-v2-2015-TanTDM #fault #online #predict: Online Defect Prediction for Imbalanced Data (MT, LT, SD, CM), pp. 99–108.
SPLC-2015-ValovGC #comparison #empirical #performance #predict #variability: Empirical comparison of regression methods for variability-aware performance prediction (PV, JG, KC), pp. 186–190.
CGO-2015-RohouSS #branch #performance #predict #trust: Branch prediction and the performance of interpreters: don’t trust folklore (ER, BNS, AS), pp. 103–114.
HPCA-2015-DuweJ0 #fault #latency #predict: Correction prediction: Reducing error correction latency for on-chip memories (HD, XJ, RK), pp. 463–475.
HPCA-2015-PapadopoulouTSM #design #predict: Prediction-based superpage-friendly TLB designs (MMP, XT, AS, AM), pp. 210–222.
HPCA-2015-PeraisS #effectiveness #framework #named #predict: BeBoP: A cost effective predictor infrastructure for superscalar value prediction (AP, AS), pp. 13–25.
CAV-2015-SinghG #predict #programming: Predicting a Correct Program in Programming by Example (RS, SG), pp. 398–414.
ICLP-J-2015-BlackmoreRE #approach #compilation #effectiveness #embedded #logic programming #predict: A logic programming approach to predict effective compiler settings for embedded software (CB, OR, KE), pp. 481–494.
CBSE-2014-NoorshamsRRKR #architecture #modelling #performance #predict #statistics: Enriching software architecture models with statistical models for performance prediction in modern storage environments (QN, RR, AR, SK, RHR), pp. 45–54.
ECSA-2014-ChiprianovFSP #architecture #distributed #embedded #modelling #performance #predict #realtime: Architectural Support for Model-Driven Performance Prediction of Distributed Real-Time Embedded Systems of Systems (VC, KEF, CS, GP), pp. 357–364.
QoSA-2014-BuhnovaCF #bibliography #modelling #predict #reliability: Failure data collection for reliability prediction models: a survey (BB, SC, LF), pp. 83–92.
CASE-2014-ChenLL #adaptation #design #predict #using: Design of lane keeping system using adaptive model predictive control (BCC, BCL, KL), pp. 922–926.
CASE-2014-HsiehHP #generative #predict #using: Improving the stability and fuel economy for Belt-Starter Generator Mild HEV at idle speed using model predict control (FCH, YDH, YWP), pp. 916–921.
CASE-2014-HuangNXCSD #3d #approach #geometry #modelling #predict: Predictive modeling of geometric deviations of 3D printed products — A unified modeling approach for cylindrical and polygon shapes (QH, HN, KX, YC, SS, TD), pp. 25–30.
CASE-2014-KhodabakhshianFW #performance #predict: Predictive control of the engine cooling system for fuel efficiency improvement (MK, LF, JW), pp. 61–66.
CASE-2014-LuoHA #online #predict: Online trajectory tracking based on model predictive control for Service Robot (RCL, KCH, RA), pp. 1238–1243.
CASE-2014-NodaMNKOI #behaviour #maintenance #online #predict: Online maintaining behavior of high-load and unstable postures based on whole-body load balancing strategy with thermal prediction (SN, MM, SN, YK, KO, MI), pp. 1166–1171.
CASE-2014-ShamsAY #modelling #predict: Predicting patient risk of readmission with frailty models in the Department of Veteran Affairs (IS, SA, KY), pp. 576–581.
CASE-2014-SustoWPZJOM #adaptation #flexibility #machine learning #maintenance #predict: An adaptive machine learning decision system for flexible predictive maintenance (GAS, JW, SP, MZ, ABJ, PGO, SFM), pp. 806–811.
DAC-2014-Bhushan #injection #predict #visual notation: A Rigorous Graphical Technique for Predicting Sub-harmonic Injection Locking in LC Oscillators (PB), p. 8.
DATE-2014-AhmadC #performance #predict #simulation: Fast STA prediction-based gate-level timing simulation (TBA, MJC), pp. 1–6.
DATE-2014-AlhammadP #execution #manycore #parallel #predict #thread: Time-predictable execution of multithreaded applications on multicore systems (AA, RP), pp. 1–6.
DATE-2014-AyariABCKR #predict: New implementions of predictive alternate analog/RF test with augmented model redundancy (HA, FA, SB, MC, VK, MR), pp. 1–4.
DATE-2014-Huang14a #manycore #network #performance #predict: Leveraging on-chip networks for efficient prediction on multicore coherence (LH), pp. 1–4.
DATE-2014-KeramidasMKN #predict: Spatial pattern prediction based management of faulty data caches (GK, MM, AK, DN), pp. 1–6.
DATE-2014-MarianiPZS #design #named #predict #scheduling #simulation #using: DeSpErate: Speeding-up design space exploration by using predictive simulation scheduling (GM, GP, VZ, CS), pp. 1–4.
DATE-2014-NelsonNMKG #composition #kernel #named #predict #realtime: CoMik: A predictable and cycle-accurately composable real-time microkernel (AN, ABN, AMM, MK, KG), pp. 1–4.
DATE-2014-ReinekeW #performance #predict #resource management: Impact of resource sharing on performance and performance prediction (JR, RW), pp. 1–2.
DATE-2014-YangHKKCPK #parallel #predict #simulation: Predictive parallel event-driven HDL simulation with a new powerful prediction strategy (SY, JH, DK, NK, DC, JP, JK), pp. 1–3.
DATE-2014-ZhangLHCW #multi #performance #predict: Joint Virtual Probe: Joint exploration of multiple test items’ spatial patterns for efficient silicon characterization and test prediction (SZ, FL, CKH, KTC, HW), pp. 1–6.
HT-2014-0001IAS #on the #predict: On the predictability of talk attendance at academic conferences (CS, JI, MA, GS), pp. 279–284.
VLDB-2014-WuWHN #execution #nondeterminism #predict #query: Uncertainty Aware Query Execution Time Prediction (WW, XW, HH, JFN), pp. 1857–1868.
VLDB-2015-ZhangWWY14 #behaviour #predict #social: Inferring Continuous Dynamic Social Influence and Personal Preference for Temporal Behavior Prediction (JZ, CW, JW, JXY), pp. 269–280.
CSMR-WCRE-2014-PanichellaOL #fault #modelling #predict: Cross-project defect prediction models: L’Union fait la force (AP, RO, ADL), pp. 164–173.
ICSME-2014-ParizyTK #design #fault #predict: Software Defect Prediction for LSI Designs (MP, KT, YK), pp. 565–568.
ICSME-2014-Shihab #predict #quality: Practical Software Quality Prediction (ES), pp. 639–644.
MSR-2014-0001MKZ #fault #predict #towards: Towards building a universal defect prediction model (FZ, AM, IK, YZ), pp. 182–191.
MSR-2014-FukushimaKMYU #empirical #fault #modelling #predict #using: An empirical study of just-in-time defect prediction using cross-project models (TF, YK, SM, KY, NU), pp. 172–181.
MSR-2014-GarciaS #debugging #open source #predict: Characterizing and predicting blocking bugs in open source projects (HVG, ES), pp. 72–81.
MSR-2014-MondalRS #co-evolution #predict #ranking: Prediction and ranking of co-change candidates for clones (MM, CKR, KAS), pp. 32–41.
SCAM-2014-CaiJSZZ #analysis #named #predict: SENSA: Sensitivity Analysis for Quantitative Change-Impact Prediction (HC, SJ, RAS, YJZ, YZ), pp. 165–174.
PLDI-2014-HuangMR #abstraction #concurrent #control flow #detection #predict: Maximal sound predictive race detection with control flow abstraction (JH, POM, GR), p. 36.
FM-2014-ForejtKNS #analysis #communication #precise #predict #source code: Precise Predictive Analysis for Discovering Communication Deadlocks in MPI Programs (VF, DK, GN, SS), pp. 263–278.
CHI-2014-ForlinesMGB #crowdsourcing #network #predict #social: Crowdsourcing the future: predictions made with a social network (CF, SM, LG, RB), pp. 3655–3664.
CHI-2014-HongA #modelling #performance #predict #recommendation #user interface: Novice use of a predictive human performance modeling tool to produce UI recommendations (KWH, RSA), pp. 2251–2254.
CHI-2014-KierasH #modelling #predict #towards #visual notation: Towards accurate and practical predictive models of active-vision-based visual search (DEK, AJH), pp. 3875–3884.
CHI-2014-NoorRHRWM #predict: 28 frames later: predicting screen touches from back-of-device grip changes (MFMN, AR, SH, SR, JW, RMS), pp. 2005–2008.
CHI-2014-PasqualW #predict #using: Mouse pointing endpoint prediction using kinematic template matching (PTP, JOW), pp. 743–752.
CHI-2014-PielotOKO #mobile #predict: Didn’t you see my message?: predicting attentiveness to mobile instant messages (MP, RdO, HK, NO), pp. 3319–3328.
CSCW-2014-ChoudhuryCHH #facebook #predict: Characterizing and predicting postpartum depression from shared facebook data (MDC, SC, EH, AH), pp. 626–638.
CSCW-2014-MitraG #people #predict: The language that gets people to give: phrases that predict success on kickstarter (TM, EG), pp. 49–61.
HCI-AIMT-2014-MohammedSS #predict: Gaze Location Prediction with Depth Features as Auxiliary Information (RAAM, LS, OGS), pp. 281–292.
HCI-AIMT-2014-SchmidtW #gesture #multi #predict: Prediction of Multi-touch Gestures during Input (MS, GW), pp. 158–169.
HCI-AS-2014-LandyLNPLM #analysis #comparative #development #predict: Finding Directions to a Good GPS System — A Comparative Analysis and Development of a Predictive Model (JL, TL, NN, PP, EL, PM), pp. 454–465.
HCI-AS-2014-LeeYJ #predict #using: Data Preloading Technique using Intention Prediction (SL, JY, DYJ), pp. 32–41.
HIMI-AS-2014-ZhangXCZL #fault #predict #probability: Predictive Probability Model of Pilot Error Based on CREAM (XZ, HX, YC, LZ, GL), pp. 296–304.
HIMI-DE-2014-Rodriguez #algorithm #image #matlab #predict: Prediction or Guess? Decide by Looking at Two Images Generated by a “MATLAB MySQL” Algorithm (CR0), pp. 87–97.
LCT-TRE-2014-GoodeC #collaboration #online #performance #predict: Online Collaboration: Individual Involvement Used to Predict Team Performance (AWG, GC), pp. 408–416.
SCSM-2014-SolingerHHFL #approach #facebook #multi #predict #social #social media: Beyond Facebook Personality Prediction: — A Multidisciplinary Approach to Predicting Social Media Users’ Personality (CS, LMH, SHH, RF, CL), pp. 486–493.
AdaEurope-2014-SaezC #kernel #predict #realtime: Integrated Schedulers for a Predictable Interrupt Management on Real-Time Kernels (SS, AC), pp. 134–148.
CAiSE-2014-FolinoGP #low level #mining #modelling #multi #predict #process: Mining Predictive Process Models out of Low-level Multidimensional Logs (FF, MG, LP), pp. 533–547.
CAiSE-2014-MaggiFDG #monitoring #predict #process: Predictive Monitoring of Business Processes (FMM, CDF, MD, CG), pp. 457–472.
CAiSE-2014-SenderovichWGM #mining #predict #process #queue: Queue Mining — Predicting Delays in Service Processes (AS, MW, AG, AM), pp. 42–57.
EDOC-2014-LassenMV #predict #twitter: Predicting iPhone Sales from iPhone Tweets (NBL, RM, RV), pp. 81–90.
ICEIS-v1-2014-CaetanoLC #approach #case study #data-driven #predict: A Data-driven Approach to Predict Hospital Length of Stay — A Portuguese Case Study (NC, RMSL, PC), pp. 407–414.
ICEIS-v1-2014-FolinoGP #framework #modelling #predict: A Framework for the Discovery of Predictive Fix-time Models (FF, MG, LP), pp. 99–108.
ICEIS-v1-2014-MamcenkoG #mobile #predict #using: Customer Churn Prediction in Mobile Operator Using Combined Model (JM, JG), pp. 233–240.
CIKM-2014-ChangZGCXT #modelling #online #predict: Predicting the Popularity of Online Serials with Autoregressive Models (BC, HZ, YG, EC, HX, CT), pp. 1339–1348.
CIKM-2014-ChenHH #named #predict #video: Clairvoyant: An Early Prediction System For Video Hits (HC, QH, LH), pp. 2054–2056.
CIKM-2014-DavletovAC #predict #using: High Impact Academic Paper Prediction Using Temporal and Topological Features (FD, ASA, AC), pp. 491–498.
CIKM-2014-LiuLB #predict: Predicting Search Task Difficulty at Different Search Stages (CL, JL, NJB), pp. 569–578.
CIKM-2014-LiuXD #mining #network #predict: Relationship Emergence Prediction in Heterogeneous Networks through Dynamic Frequent Subgraph Mining (YL, SX, LD), pp. 1649–1658.
CIKM-2014-OzdemirayA #performance #predict #query: Query Performance Prediction for Aspect Weighting in Search Result Diversification (AMO, ISA), pp. 1871–1874.
CIKM-2014-TangHCL #interactive #predict: Predictability of Distrust with Interaction Data (JT, XH, YC, HL), pp. 181–190.
CIKM-2014-TaoW #performance #predict #query: Query Performance Prediction By Considering Score Magnitude and Variance Together (YT, SW), pp. 1891–1894.
CIKM-2014-YuX #interactive #learning #network #predict #scalability #social: Learning Interactions for Social Prediction in Large-scale Networks (XY, JX), pp. 161–170.
ECIR-2014-Arguello #predict: Predicting Search Task Difficulty (JA), pp. 88–99.
ECIR-2014-GrausTBR #concept #generative #predict #pseudo #social: Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams (DG, MT, LB, MdR), pp. 286–298.
ECIR-2014-OstroumovaBCTG #crawling #policy #predict #web: Crawling Policies Based on Web Page Popularity Prediction (LO, IB, AC, AT, GG), pp. 100–111.
ICML-c1-2014-SeldinBCA #multi #predict: Prediction with Limited Advice and Multiarmed Bandits with Paid Observations (YS, PLB, KC, YAY), pp. 280–287.
ICML-c1-2014-ZhouT #generative #network #predict #probability: Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction (JZ, OGT), pp. 745–753.
ICML-c2-2014-AgarwalKKSV #multi #predict #scalability: Least Squares Revisited: Scalable Approaches for Multi-class Prediction (AA, SMK, NK, LS, GV), pp. 541–549.
ICML-c2-2014-BratieresQNG #graph #grid #predict #process #scalability: Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications (SB, NQ, SN, ZG), pp. 334–342.
ICML-c2-2014-CortesKM #predict: Ensemble Methods for Structured Prediction (CC, VK, MM), pp. 1134–1142.
ICML-c2-2014-HuS #machine learning #multi #predict: Multi-period Trading Prediction Markets with Connections to Machine Learning (JH, AJS), pp. 1773–1781.
ICML-c2-2014-SuGR #network #predict: Structured Prediction of Network Response (HS, AG, JR), pp. 442–450.
ICML-c2-2014-WuCLY #behaviour #consistency #learning #network #predict #social: Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks (SHW, HHC, KHL, PSY), pp. 298–306.
ICML-c2-2014-YanLXH #predict: Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising (LY, WJL, GRX, DH), pp. 802–810.
ICPR-2014-GienTCL #fuzzy #learning #multi #predict: Dual Fuzzy Hypergraph Regularized Multi-label Learning for Protein Subcellular Location Prediction (JG, YYT, CLPC, YL), pp. 512–516.
ICPR-2014-JoshiGG #automation #predict #using #visual notation: Automatic Prediction of Perceived Traits Using Visual Cues under Varied Situational Context (JJ, HG, RG), pp. 2855–2860.
ICPR-2014-LiYLYWH #classification #multi #predict: Multi-view Based AdaBoost Classifier Ensemble for Class Prediction from Gene Expression Profiles (LL, ZY, JL, JY, HSW, GH), pp. 178–183.
ICPR-2014-SuDAGSLLPLLT #automation #predict: Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury (BS, TAD, AKA, TG, TS, SL, CCTL, BCP, CKL, TYL, CLT), pp. 3245–3250.
ICPR-2014-SuiTX #predict: An Unsupervised Band Selection Method Based on Overall Accuracy Prediction (CS, YT, YX), pp. 3756–3761.
ICPR-2014-WangWH #framework #learning #multi #predict #risk management: A Multi-task Learning Framework for Joint Disease Risk Prediction and Comorbidity Discovery (XW, FW, JH), pp. 220–225.
ICPR-2014-ZhouHG #predict: Exploring Brain Tumor Heterogeneity for Survival Time Prediction (MZ, LOH, DBG), pp. 580–585.
KDD-2014-BarbieriBM #predict #why: Who to follow and why: link prediction with explanations (NB, FB, GM), pp. 1266–1275.
KDD-2014-ChiaS #mining #predict #scalability: Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks (CCC, ZS), pp. 125–134.
KDD-2014-Horvitz #people #predict: Data, predictions, and decisions in support of people and society (EH), p. 2.
KDD-2014-KapoorSSY #approach #predict: A hazard based approach to user return time prediction (KK, MS, JS, TY), pp. 1719–1728.
KDD-2014-PoaloH #case study #modelling #predict: Predictive modeling in practice: a case study from sprint (TDP, JH), p. 1517.
KDD-2014-RadosavljevikP #interface #modelling #predict #scalability: Large scale predictive modeling for micro-simulation of 3G air interface load (DR, PvdP), pp. 1620–1629.
KDD-2014-SiposFMW #maintenance #predict: Log-based predictive maintenance (RS, DF, FM, ZW), pp. 1867–1876.
KDD-2014-SongZSS #behaviour #predict #scalability: Prediction of human emergency behavior and their mobility following large-scale disaster (XS, QZ, YS, RS), pp. 5–14.
KDD-2014-TamhaneISDA #analysis #predict #risk management #student: Predicting student risks through longitudinal analysis (AT, SI, BS, MD, JA), pp. 1544–1552.
KDD-2014-TayebiEGB #embedded #learning #predict #using: Spatially embedded co-offence prediction using supervised learning (MAT, ME, UG, PLB), pp. 1789–1798.
KDD-2014-VarshneyCF0FM #enterprise #predict: Predicting employee expertise for talent management in the enterprise (KRV, VC, SWF, JW, DF, AM), pp. 1729–1738.
KDD-2014-WangZQWD #multi #predict #risk management: Clinical risk prediction with multilinear sparse logistic regression (FW, PZ, BQ, XW, ID), pp. 145–154.
KDD-2014-YaoTXL #predict: Predicting long-term impact of CQA posts: a comprehensive viewpoint (YY, HT, FX, JL), pp. 1496–1505.
KDD-2014-ZhangYZ #multi #predict: Meta-path based multi-network collective link prediction (JZ, PSY, ZHZ), pp. 1286–1295.
KDIR-2014-BydzovskaB #predict #student #towards: Towards Student Success Prediction (HB, MB), pp. 162–169.
KDIR-2014-FahedBB #algorithm #mining #predict: Episode Rules Mining Algorithm for Distant Event Prediction (LF, AB, AB), pp. 5–13.
KMIS-2014-SelmiHA #feedback #mining #predict: Opinion Mining for Predicting Peer Affective Feedback Helpfulness (MS, HH, EA), pp. 419–425.
KMIS-2014-VelosoPSSRA0 #data mining #mining #modelling #predict #realtime: Real-Time Data Mining Models for Predicting Length of Stay in Intensive Care Units (RV, FP, MFS, ÁMS, FR, AA, JM), pp. 245–254.
KR-2014-Michael #learning #predict: Simultaneous Learning and Prediction (LM).
KR-2014-SazonauSB #owl #performance #predict #question: Predicting Performance of OWL Reasoners: Locally or Globally? (VS, US, GB).
RecSys-2014-KimC #collaboration #predict: Bayesian binomial mixture model for collaborative prediction with non-random missing data (YDK, SC), pp. 201–208.
RecSys-2014-XuPA #predict #ranking #recommendation: Controlled experimentation in recommendations, ranking & response prediction (YX, RP, JA), p. 389.
RecSys-2014-YuanMZS #predict #sentiment: Exploiting sentiment homophily for link prediction (GY, PKM, ZZ, MPS), pp. 17–24.
SEKE-2014-FinlayPC #predict: Synthetic Minority Over-sampling TEchnique (SMOTE) for Predicting Software Build Outcomes (JF, RP, AMC), pp. 546–551.
SEKE-2014-SouzaRS #empirical #predict #using: A Proposal for the Improvement of Project’s Cost Predictability using Earned Value Management and Historical Data of Cost — An Empirical Study (ADdS, ARR, DCSdS), pp. 729–734.
SEKE-2014-WangGZ #network #predict #using: Artificial neural networks for infectious diarrhea prediction using meteorological factors in Shanghai (YW, JG, ZZ), pp. 501–506.
SEKE-2014-WangKN #classification #fault #metric #performance #predict: Choosing the Best Classification Performance Metric for Wrapper-based Software Metric Selection for Defect Prediction (HW, TMK, AN), pp. 540–545.
SIGIR-2014-BianYC #microblog #network #predict: Predicting trending messages and diffusion participants in microblogging network (JB, YY, TSC), pp. 537–546.
SIGIR-2014-BingGLNW #classification #predict #segmentation #web: Web page segmentation with structured prediction and its application in web page classification (LB, RG, WL, ZYN, HW), pp. 767–776.
SIGIR-2014-EugsterRSKBRJK #predict: Predicting term-relevance from brain signals (MJAE, TR, MMAS, IK, OB, NR, GJ, SK), pp. 425–434.
SIGIR-2014-HeGKLS #predict #web: Predicting the popularity of web 2.0 items based on user comments (XH, MG, MYK, YL, KS), pp. 233–242.
SIGIR-2014-HuSL #predict #rating: Your neighbors affect your ratings: on geographical neighborhood influence to rating prediction (LH, AS, YL), pp. 345–354.
SIGIR-2014-JeonKHHECR #parallel #predict #web: Predictive parallelization: taming tail latencies in web search (MJ, SK, SwH, YH, SE, ALC, SR), pp. 253–262.
SIGIR-2014-KatzSKSR #performance #predict #query: Wikipedia-based query performance prediction (GK, AS, OK, BS, LR), pp. 1235–1238.
SIGIR-2014-KimHWZ #predict: Comparing client and server dwell time estimates for click-level satisfaction prediction (YK, AHA, RWW, IZ), pp. 895–898.
SIGIR-2014-KongMFYZ #predict #realtime: Predicting bursts and popularity of hashtags in real-time (SK, QM, LF, FY, ZZ), pp. 927–930.
SIGIR-2014-NguyenL #microblog #network #on the #predict: On predicting religion labels in microblogging networks (MTN, EPL), pp. 1211–1214.
SIGIR-2014-PerezJ #microblog #performance #predict #query #retrieval: Predicting query performance in microblog retrieval (JARP, JMJ), pp. 1183–1186.
SIGIR-2014-RaiberK #predict: Query-performance prediction: setting the expectations straight (FR, OK), pp. 13–22.
SIGIR-2014-RavivKC #performance #predict #query #retrieval: Query performance prediction for entity retrieval (HR, OK, DC), pp. 1099–1102.
SIGIR-2014-Sebastian #clustering #predict #semantics #using: Cluster links prediction for literature based discovery using latent structure and semantic features (YS), p. 1275.
SIGIR-2014-SongSWA #predict #web: Context-aware web search abandonment prediction (YS, XS, RW, AHA), pp. 93–102.
SIGIR-2014-WangSCHHW #modelling #predict: Modeling action-level satisfaction for search task satisfaction prediction (HW, YS, MWC, XH, AHA, RWW), pp. 123–132.
SKY-2014-Fernandez-Utrilla #behaviour #predict #web: An Unified Behaviour Model to Predict Web 2.0 Adoption as a Tool for Software-Knowledge Sharing (MFU, PFU, GM), pp. 3–18.
OOPSLA-2014-ZhaoWZDSSW #automaton #predict #probability #sequence: Call sequence prediction through probabilistic calling automata (ZZ, BW, MZ, YD, JS, XS, YW), pp. 745–762.
SAC-2014-AlharbiZ #predict #social: Exploring the significance of human mobility patterns in social link prediction (BA, XZ), pp. 604–609.
SAC-2014-FdhilaR #co-evolution #collaboration #predict #process: Predicting change propagation impacts in collaborative business processes (WF, SRM), pp. 1378–1385.
SAC-2014-HusemannR #multi #predict #scalability #video: Introduction of a multi-layer predictive search strategy for scalable video coding (RH, VR), pp. 985–986.
SAC-2014-ManhaesCZ #architecture #named #predict #using: WAVE: an architecture for predicting dropout in undergraduate courses using EDM (LMBM, SMSdC, GZ), pp. 243–247.
SAC-2014-VasconcelosAG #code review #predict #what: What makes your opinion popular?: predicting the popularity of micro-reviews in foursquare (MAV, JMA, MAG), pp. 598–603.
SAC-2014-XiaLWZ #analysis #predict: Build system analysis with link prediction (XX, DL, XW, BZ), pp. 1184–1186.
ICSE-2014-JingYZWL #fault #learning #predict #taxonomy: Dictionary learning based software defect prediction (XYJ, SY, ZWZ, SSW, JL), pp. 414–423.
ICSE-2014-RahmanKBD #debugging #predict #statistics: Comparing static bug finders and statistical prediction (FR, SK, ETB, PTD), pp. 424–434.
HPCA-2014-AhnYC #architecture #named #predict: DASCA: Dead Write Prediction Assisted STT-RAM Cache Architecture (JA, SY, KC), pp. 25–36.
HPCA-2014-WangDDS #concurrent #memory management #multi #named #predict #source code #thread: DraMon: Predicting memory bandwidth usage of multi-threaded programs with high accuracy and low overhead (WW, TD, JWD, MLS), pp. 380–391.
PPoPP-2014-LiuTHB #detection #named #predict: PREDATOR: predictive false sharing detection (TL, CT, ZH, EDB), pp. 3–14.
ISSTA-2014-NistorR #developer #named #performance #predict #problem #smarttech: SunCat: helping developers understand and predict performance problems in smartphone applications (AN, LR), pp. 282–292.
QoSA-2013-FeugasMD #evolution #predict #process #quality: A causal model to predict the effect of business process evolution on quality of service (AF, SM, LD), pp. 143–152.
ASE-2013-Ganai #incremental #performance #predict #reasoning: Efficient data race prediction with incremental reasoning on time-stamped lock history (MKG), pp. 37–47.
ASE-2013-GuoCASW #approach #learning #performance #predict #statistics #variability: Variability-aware performance prediction: A statistical learning approach (JG, KC, SA, NS, AW), pp. 301–311.
ASE-2013-IzsoSBHR #graph #metric #performance #precise #predict #query #towards: Towards precise metrics for predicting graph query performance (BI, ZS, GB, ÁH, IR), pp. 421–431.
ASE-2013-JiangTK #fault #personalisation #predict: Personalized defect prediction (TJ, LT, SK), pp. 279–289.
ASE-2013-ScannielloGMM #clustering #fault #predict #using: Class level fault prediction using software clustering (GS, CG, AM, TM), pp. 640–645.
CASE-2013-ChenHCHW #automation #maintenance #predict: Automatic baseline-sample-selection scheme for baseline predictive maintenance (CFC, YSH, FTC, HCH, SCW), pp. 183–188.
CASE-2013-KwadzogahZL #bibliography #perspective #predict: Model predictive control for HVAC systems — A review (RK, MZ, SL), pp. 442–447.
CASE-2013-ParisioMVJ #approach #predict: A scenario-based predictive control approach to building HVAC management systems (AP, MM, DV, KHJ), pp. 428–435.
CASE-2013-SharabianiDBCND #machine learning #predict: Machine learning based prediction of warfarin optimal dosing for African American patients (AS, HD, AB, LC, EN, KD), pp. 623–628.
CASE-2013-SustoJOM #multi #predict #process: Virtual metrology enabled early stage prediction for enhanced control of multi-stage fabrication processes (GAS, ABJ, PGO, SFM), pp. 201–206.
CASE-2013-SustoSPPMB #fault #maintenance #predict: A predictive maintenance system for integral type faults based on support vector machines: An application to ion implantation (GAS, AS, SP, DP, SFM, AB), pp. 195–200.
CASE-2013-TranH13a #composition #predict: Plug-and-play predictive control of modular nonlinear systems with coupling delays (TT, QPH), pp. 699–704.
CASE-2013-YeWZML #approach #network #optimisation #predict #scalability: A signal split optimization approach based on model predictive control for large-scale urban traffic networks (BLY, WW, XZ, WJM, JL), pp. 904–909.
DAC-2013-AsenovART #performance #predict: Predicting future technology performance (AA, CA, CR, ET), p. 6.
DAC-2013-KleebergerGS #evaluation #modelling #performance #predict #standard: Predicting future product performance: modeling and evaluation of standard cells in FinFET technologies (VK, HEG, US), p. 6.
DAC-2013-MaricAV #adaptation #energy #hybrid #named #predict #reliability: APPLE: adaptive performance-predictable low-energy caches for reliable hybrid voltage operation (BM, JA, MV), p. 8.
DATE-2013-ChenD #parallel #predict #simulation #using: Optimized out-of-order parallel discrete event simulation using predictions (WC, RD), pp. 3–8.
DATE-2013-KodakaTSYKTXSUTMM #manycore #power management #predict: A near-future prediction method for low power consumption on a many-core processor (TK, AT, SS, AY, TK, TT, HX, TS, HU, JT, TM, NM), pp. 1058–1059.
DATE-2013-LifaEP #linear #predict: Dynamic configuration prefetching based on piecewise linear prediction (AAL, PE, ZP), pp. 815–820.
DATE-2013-MuradoreQF #network #predict: Model predictive control over delay-based differentiated services control networks (RM, DQ, PF), pp. 1117–1122.
ICDAR-2013-HassaineAAJ #contest #gender #predict: ICDAR 2013 Competition on Gender Prediction from Handwriting (AH, SAM, JMA, AJ), pp. 1417–1421.
ICDAR-2013-RabeuxJVD #documentation #evaluation #predict #quality: Quality Evaluation of Ancient Digitized Documents for Binarization Prediction (VR, NJ, AV, JPD), pp. 113–117.
VLDB-2013-HendawiBM #framework #named #network #predict #query #scalability: iRoad: A Framework For Scalable Predictive Query Processing On Road Networks (AMH, JB, MFM), pp. 1262–1265.
VLDB-2013-PopescuBEA #named #predict #runtime #scalability #towards: PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics (ADP, AB, VE, AA), pp. 1678–1689.
VLDB-2013-WuCHN #concurrent #database #execution #predict #query #towards: Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads (WW, YC, HH, JFN), pp. 925–936.
VLDB-2013-XueZZXYTJZ #named #predict #privacy: DesTeller: A System for Destination Prediction Based on Trajectories with Privacy Protection (AYX, RZ, YZ, XX, JY, YT), pp. 1198–1201.
VLDB-2013-ZhouTWN #2d #learning #named #predict #probability: R2-D2: a System to Support Probabilistic Path Prediction in Dynamic Environments via “Semi-Lazy” Learning (JZ, AKHT, WW, WSN), pp. 1366–1369.
ITiCSE-2013-McDonald #mobile #predict: A location prediction project on mobile devices (CM), p. 320.
CSMR-2013-LamkanfiD #debugging #predict: Predicting Reassignments of Bug Reports — An Exploratory Investigation (AL, SD), pp. 327–330.
CSMR-2013-SurianTLCL #network #predict: Predicting Project Outcome Leveraging Socio-Technical Network Patterns (DS, YT, DL, HC, EPL), pp. 47–56.
CSMR-2013-XiaLWYLS #algorithm #case study #comparative #debugging #learning #predict: A Comparative Study of Supervised Learning Algorithms for Re-opened Bug Prediction (XX, DL, XW, XY, SL, JS), pp. 331–334.
ICSM-2013-GharehyaziePF #developer #predict #process #social: Social Activities Rival Patch Submission for Prediction of Developer Initiation in OSS Projects (MG, DP, VF), pp. 340–349.
ICSM-2013-LeL #approach #automation #effectiveness #fault #locality #predict #tool support: Will Fault Localization Work for These Failures? An Automated Approach to Predict Effectiveness of Fault Localization Tools (TDBL, DL), pp. 310–319.
ICSM-2013-TabaKZHN #debugging #predict #using: Predicting Bugs Using Antipatterns (SEST, FK, YZ, AEH, MN), pp. 270–279.
ICSM-2013-TianLS #analysis #debugging #multi #named #predict: DRONE: Predicting Priority of Reported Bugs by Multi-factor Analysis (YT, DL, CS), pp. 200–209.
MSR-2013-HuW #fault #predict #using: Using citation influence to predict software defects (WH, KW), pp. 419–428.
MSR-2013-PetersMM #fault #predict: Better cross company defect prediction (FP, TM, AM), pp. 409–418.
IFM-2013-RuksenasCH #behaviour #evaluation #interactive #predict: Integrating Formal Predictions of Interactive System Behaviour with User Evaluation (RR, PC, MDH), pp. 238–252.
CHI-2013-ChoudhuryCH #behaviour #predict #social #social media: Predicting postpartum changes in emotion and behavior via social media (MDC, SC, EH), pp. 3267–3276.
CHI-2013-ReineckeYMMZLG #complexity #predict #quantifier #visual notation: Predicting users’ first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness (KR, TY, LM, RM, YZ, JL, KZG), pp. 2049–2058.
CHI-2013-Salvucci #interactive #predict: Distraction beyond the driver: predicting the effects of in-vehicle interaction on surrounding traffic (DDS), pp. 3131–3134.
DHM-HB-2013-BatainehMA #predict: Artificial Neural Network-Based Prediction of Human Posture (MB, TM, KAM), pp. 305–313.
DHM-SET-2013-MurataKEH #behaviour #metric #predict #using: Prediction of Drowsy Driving Using Behavioral Measures of Drivers — Change of Neck Bending Angle and Sitting Pressure Distribution (AM, TK, TE, TH), pp. 78–87.
DUXU-CXC-2013-WangTKS #evaluation #eye tracking #performance #predict: Banner Evaluation Predicted by Eye Tracking Performance and the Median Thinking Style (MYW, DLT, CTK, VCS), pp. 129–138.
DUXU-WM-2013-JimenezM #design #evaluation #predict #smarttech: Design and Evaluation of a Predictive Model for Smartphone Selection (YJ, PM), pp. 376–384.
HCI-AMTE-2013-McDougallR #predict: Ease of Icon Processing Can Predict Icon Appeal (SM, IR), pp. 575–584.
HCI-AS-2013-HuaG #comprehension #difference #evaluation #predict #protocol #safety #usability: Usability Evaluation of a Voluntary Patient Safety Reporting System: Understanding the Difference between Predicted and Observed Time Values by Retrospective Think-Aloud Protocols (LH, YG), pp. 94–100.
HCI-IMT-2013-TruongNTD #collaboration #predict #word: Collaborative Smart Virtual Keyboard with Word Predicting Function (CTT, DHNH, MTT, ADD), pp. 513–522.
HCI-UC-2013-KawabeIN #predict: A Refuge Location Prediction System for When a Tsunami Has Occurred (AK, TI, YN), pp. 295–300.
HIMI-D-2013-UedaA #people #predict #using: Prediction of the Concern of People Using CGM (YU, YA), pp. 284–292.
OCSC-2013-HallCW #approach #community #predict: Well-Being’s Predictive Value — A Gamified Approach to Managing Smart Communities (MH, SC, CW), pp. 13–22.
EDOC-2013-ValjaOISJ #modelling #predict: Modeling and Prediction of Monetary and Non-monetary Business Values (MV, MÖ, MEI, MvS, PJ), pp. 153–158.
ICEIS-J-2013-BevacquaCFGP13a #data-driven #framework #monitoring #predict #process: A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances (AB, MC, FF, MG, LP), pp. 100–117.
ICEIS-J-2013-LiL13a #object-oriented #predict: Bayesian Prediction of Fault-Proneness of Agile-Developed Object-Oriented System (LL, HL), pp. 209–225.
ICEIS-v1-2013-BevacquaCFGP #abstraction #adaptation #approach #predict #process: A Data-adaptive Trace Abstraction Approach to the Prediction of Business Process Performances (AB, MC, FF, MG, LP), pp. 56–65.
ICEIS-v2-2013-LiL #agile #network #object-oriented #predict #process #using: Predicting Fault-proneness of Object-Oriented System Developed with Agile Process using Learned Bayesian Network (LL, HL), pp. 5–16.
CIKM-2013-BaragliaMNS #learning #named #predict: LearNext: learning to predict tourists movements (RB, CIM, FMN, FS), pp. 751–756.
CIKM-2013-GhoreishiS #predict #query: Predicting event-relatedness of popular queries (SNG, AS), pp. 1193–1196.
CIKM-2013-KamathC #learning #predict #what: Spatio-temporal meme prediction: learning what hashtags will be popular where (KYK, JC), pp. 1341–1350.
CIKM-2013-LiaoPPL #behaviour #mining #mobile #on the #predict #smarttech: On mining mobile apps usage behavior for predicting apps usage in smartphones (ZXL, YCP, WCP, PRL), pp. 609–618.
CIKM-2013-LiMWLX #network #on the #online #predict #social: On popularity prediction of videos shared in online social networks (HL, XM, FW, JL, KX), pp. 169–178.
CIKM-2013-McGeeCC #predict #social #social media: Location prediction in social media based on tie strength (JM, JC, ZC), pp. 459–468.
CIKM-2013-MishraRT #network #predict #process: Estimating the relative utility of networks for predicting user activities (NM, DMR, PT), pp. 1047–1056.
CIKM-2013-SpeicherBG #exclamation #interactive #predict #web: TellMyRelevance!: predicting the relevance of web search results from cursor interactions (MS, AB, MG), pp. 1281–1290.
CIKM-2013-TanCHKS #predict: Instant foodie: predicting expert ratings from grassroots (CT, EHC, DAH, GK, AJS), pp. 1127–1136.
CIKM-2013-ZhuZPWZY #network #predict #process #social: Predicting user activity level in social networks (YZ, EZ, SJP, XW, MZ, QY), pp. 159–168.
ECIR-2013-Cleger-TamayoFHT #predict #quality #recommendation: Being Confident about the Quality of the Predictions in Recommender Systems (SCT, JMFL, JFH, NT), pp. 411–422.
ECIR-2013-DemeesterNTDH #predict #web: Snippet-Based Relevance Predictions for Federated Web Search (TD, DN, DT, CD, DH), pp. 697–700.
ECIR-2013-LagnierDGG #information management #network #predict #social #using: Predicting Information Diffusion in Social Networks Using Content and User’s Profiles (CL, LD, ÉG, PG), pp. 74–85.
ECIR-2013-OlteanuPLA #predict #web: Web Credibility: Features Exploration and Credibility Prediction (AO, SP, XL, KA), pp. 557–568.
ECIR-2013-RaiberK #effectiveness #metric #predict #using: Using Document-Quality Measures to Predict Web-Search Effectiveness (FR, OK), pp. 134–145.
ICML-c1-2013-GiguereLMS #algorithm #approach #bound #learning #predict: Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction (SG, FL, MM, KS), pp. 107–114.
ICML-c1-2013-HamiltonFP #modelling #predict: Modelling Sparse Dynamical Systems with Compressed Predictive State Representations (WLH, MMF, JP), pp. 178–186.
ICML-c1-2013-MehtaG #bound #predict: Sparsity-Based Generalization Bounds for Predictive Sparse Coding (NAM, AGG), pp. 36–44.
ICML-c3-2013-Agarwal #algorithm #multi #predict: Selective sampling algorithms for cost-sensitive multiclass prediction (AA), pp. 1220–1228.
ICML-c3-2013-JancsaryNR #learning #predict: Learning Convex QP Relaxations for Structured Prediction (JJ, SN, CR), pp. 915–923.
ICML-c3-2013-JoseGAV #kernel #learning #performance #predict: Local Deep Kernel Learning for Efficient Non-linear SVM Prediction (CJ, PG, PA, MV), pp. 486–494.
ICML-c3-2013-LondonHTG #predict: Collective Stability in Structured Prediction: Generalization from One Example (BL, BH, BT, LG), pp. 828–836.
ICML-c3-2013-RastegariCFHD #predict: Predictable Dual-View Hashing (MR, JC, SF, HDI, LSD), pp. 1328–1336.
ICML-c3-2013-RossZYDB #learning #policy #predict: Learning Policies for Contextual Submodular Prediction (SR, JZ, YY, DD, DB), pp. 1364–1372.
KDD-2013-CuiJYWZY #approach #data-driven #network #predict: Cascading outbreak prediction in networks: a data-driven approach (PC, SJ, LY, FW, WZ, SY), pp. 901–909.
KDD-2013-KuoYHKL #network #predict #social #statistics #using: Unsupervised link prediction using aggregative statistics on heterogeneous social networks (TTK, RY, YYH, PHK, SDL), pp. 775–783.
KDD-2013-LeeNBC #predict #social: Link prediction with social vector clocks (CL, BN, UB, PC), pp. 784–792.
KDD-2013-McMahanHSYEGNPDGCLWHBK #predict: Ad click prediction: a view from the trenches (HBM, GH, DS, MY, DE, JG, LN, TP, ED, DG, SC, DL, MW, AMH, TB, JK), pp. 1222–1230.
KDD-2013-MontgomerySCM #experience #predict: Experience from hosting a corporate prediction market: benefits beyond the forecasts (TAM, PMS, MJC, PEM), pp. 1384–1392.
KDD-2013-TranPLHBV #framework #predict #risk management: An integrated framework for suicide risk prediction (TT, DQP, WL, RH, MB, SV), pp. 1410–1418.
KDD-2013-Varian #predict: Predicting the present with search engine data (HV), p. 4.
KDD-2013-WangBLZL #predict: Psychological advertising: exploring user psychology for click prediction in sponsored search (TW, JB, SL, YZ, TYL), pp. 563–571.
KDD-2013-WeissDB #predict #quality: Improving quality control by early prediction of manufacturing outcomes (SMW, AD, RJB), pp. 1258–1266.
KDD-2013-XiangYFWTY #learning #multi #predict: Multi-source learning with block-wise missing data for Alzheimer’s disease prediction (SX, LY, WF, YW, PMT, JY), pp. 185–193.
KDD-2013-YiCLSY #online #performance #predict: Predictive model performance: offline and online evaluations (JY, YC, JL, SS, TWY), pp. 1294–1302.
KDD-2013-ZhangWNLWY #how #named #network #predict #social #visualisation: LAFT-Explorer: inferring, visualizing and predicting how your social network expands (JZ, CW, YN, YL, JW, PSY), pp. 1510–1513.
KDD-2013-ZhengDMZ #collaboration #interactive #matrix #multi #predict: Collaborative matrix factorization with multiple similarities for predicting drug-target interactions (XZ, HD, HM, SZ), pp. 1025–1033.
KDD-2013-ZhouTWN #approach #predict #probability: A “semi-lazy” approach to probabilistic path prediction (JZ, AKHT, WW, WSN), pp. 748–756.
KDIR-KMIS-2013-ChenYTH #behaviour #predict: The Disulfide Connectivity Prediction with Support Vector Machine and Behavior Knowledge Space (HYC, CBY, KTT, CYH), pp. 112–118.
KDIR-KMIS-2013-FerchichiBF #adaptation #approach #image #predict: An Approach based on Adaptive Decision Tree for Land Cover Change Prediction in Satellite Images (AF, WB, IRF), pp. 82–90.
MLDM-2013-MaziluCGRHT #detection #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.
MLDM-2013-ParimiC #predict: Pre-release Box-Office Success Prediction for Motion Pictures (RP, DC), pp. 571–585.
MLDM-2013-PoziMD #estimation #predict: Density Ratio Estimation in Support Vector Machine for Better Generalization: Study on Direct Marketing Prediction (MSMP, AM, AD), pp. 275–280.
MLDM-2013-SappP #classification #clustering #predict: Accuracy-Based Classification EM: Combining Clustering with Prediction (SS, AP), pp. 458–465.
RecSys-2013-Adamopoulos #predict #rating #recommendation: Beyond rating prediction accuracy: on new perspectives in recommender systems (PA), pp. 459–462.
RecSys-2013-AdamopoulosT #collaboration #predict #recommendation #using: Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems (PA, AT), pp. 351–354.
RecSys-2013-GaoHBLLZ #predict #social #social media: Improving user profile with personality traits predicted from social media content (RG, BH, SB, LL, AL, TZ), pp. 355–358.
RecSys-2013-Steck #evaluation #predict #ranking #recommendation: Evaluation of recommendations: rating-prediction and ranking (HS), pp. 213–220.
RecSys-2013-TangGHL #bibliography #predict #rating: Context-aware review helpfulness rating prediction (JT, HG, XH, HL), pp. 1–8.
RecSys-2013-TiroshiBKCK #network #predict #social: Cross social networks interests predictions based ongraph features (AT, SB, MAK, TC, TK), pp. 319–322.
SEKE-2013-CalikliB #bias #developer #fault #predict: The Impact of Confirmation Bias on the Release-based Defect Prediction of Developer Groups (GÇ, AB), pp. 461–466.
SEKE-2013-YuanYL #debugging #fine-grained #predict #source code: Bug Prediction for Fine-Grained Source Code Changes (ZY, LY, CL), pp. 381–387.
SIGIR-2013-ChandarWC #documentation #predict: Document features predicting assessor disagreement (PC, WW, BC), pp. 745–748.
SIGIR-2013-GuoJLYA #interactive #mining #mobile #predict #web: Mining touch interaction data on mobile devices to predict web search result relevance (QG, HJ, DL, SY, EA), pp. 153–162.
SIGIR-2013-SondakSK #predict #query: Estimating query representativeness for query-performance prediction (MS, AS, OK), pp. 853–856.
SIGIR-2013-WestWH #predict #process #query: Here and there: goals, activities, and predictions about location from geotagged queries (RW, RWW, EH), pp. 817–820.
SIGIR-2013-Wu #behaviour #how #online #predict #using: How far will you go?: characterizing and predicting online search stopping behavior using information scent and need for cognition (WCW), p. 1149.
SIGIR-2013-ZhangWYW #learning #network #predict: Learning latent friendship propagation networks with interest awareness for link prediction (JZ, CW, PSY, JW), pp. 63–72.
RE-2013-ShiWL #evolution #learning #predict: Learning from evolution history to predict future requirement changes (LS, QW, ML), pp. 135–144.
REFSQ-2013-ProynovaP #feedback #predict: Factors Influencing User Feedback on Predicted Satisfaction with Software Systems (RP, BP), pp. 96–111.
SAC-2013-BasgaluppBSC #approach #predict: Software effort prediction: a hyper-heuristic decision-tree based approach (MPB, RCB, TSdS, ACPLFC), pp. 1109–1116.
SAC-2013-KannanMDS #navigation #predict #using: Predictive indoor navigation using commercial smart-phones (BK, FM, MBD, KPS), pp. 519–525.
SAC-2013-LinCLG #approach #data-driven #distributed #learning #predict: Distributed dynamic data driven prediction based on reinforcement learning approach (SYL, KMC, CCL, NG), pp. 779–784.
SAC-2013-MaiaB #modelling #network #performance #predict #query: Sensor-field modeling based on in-network data prediction: an efficient strategy for answering complex queries in wireless sensor networks (JEBM, AB), pp. 554–559.
SAC-2013-MinerviniFdE #predict #rank #semantics: Rank prediction for semantically annotated resources (PM, NF, Cd, FE), pp. 333–338.
SAC-2013-Perez-PalacinCM #named #predict #trade-off: log2cloud: log-based prediction of cost-performance trade-offs for cloud deployments (DPP, RC, JM), pp. 397–404.
SAC-2013-SinghR #algorithm #architecture #optimisation #predict: Meta-learning based architectural and algorithmic optimization for achieving green-ness in predictive workload analytics (NS, SR), pp. 1169–1176.
SAC-2013-UmemotoYNT #behaviour #predict #query: Predicting query reformulation type from user behavior (KU, TY, SN, KT), pp. 894–901.
ESEC-FSE-2013-RahmanPHD #bias #fault #predict: Sample size vs. bias in defect prediction (FR, DP, IH, PTD), pp. 147–157.
ESEC-FSE-2013-SilicDS #clustering #predict #reliability #web #web service: Prediction of atomic web services reliability based on k-means clustering (MS, GD, SS), pp. 70–80.
ESEC-FSE-2013-ZhangC #effectiveness #fault #modelling #predict: A cost-effectiveness criterion for applying software defect prediction models (HZ, SCC), pp. 643–646.
ICSE-2013-HaiducRBOLM #code search #predict #quality #query #source code: Query quality prediction and reformulation for source code search: the refoqus tool (SH, GDR, GB, RO, ADL, AM), pp. 1307–1310.
ICSE-2013-HerzigJZ #classification #debugging #how #predict: It’s not a bug, it’s a feature: how misclassification impacts bug prediction (KH, SJ, AZ), pp. 392–401.
ICSE-2013-LewisLSZOW #case study #debugging #developer #predict: Does bug prediction support human developers? findings from a google case study (CL, ZL, CS, XZ, RO, EJWJ), pp. 372–381.
ICSE-2013-Souza #predict #using: A proposal for the improvement of project’s cost predictability using EVM and historical data of cost (ADdS), pp. 1447–1449.
ICSE-2013-ZhangGV #empirical #predict: Predicting bug-fixing time: an empirical study of commercial software projects (HZ, LG, SV), pp. 1042–1051.
HPCA-2013-BonannoCLMPS #branch #predict: Two level bulk preload branch prediction (JB, AC, DL, UM, BP, AS), pp. 71–82.
HPCA-2013-FarooqKJ #branch #compilation #predict: Store-Load-Branch (SLB) predictor: A compiler assisted branch prediction for data dependent branches (MUF, K, LKJ), pp. 59–70.
HPCA-2013-RobatmiliLEGSPBK #architecture #effectiveness #how #manycore #predict: How to implement effective prediction and forwarding for fusable dynamic multicore architectures (BR, DL, HE, MSSG, AS, AP, DB, SWK), pp. 460–471.
HPCA-2013-SubramanianSKJM #in memory #memory management #named #performance #predict: MISE: Providing performance predictability and improving fairness in shared main memory systems (LS, VS, YK, BJ, OM), pp. 639–650.
ICLP-J-2013-ArbelaezTC #parallel #predict #runtime #satisfiability #using: Using sequential runtime distributions for the parallel speedup prediction of SAT local search (AA, CT, PC), pp. 625–639.
ICST-2013-CanforaLPOPP #fault #multi #predict: Multi-objective Cross-Project Defect Prediction (GC, ADL, MDP, RO, AP, SP), pp. 252–261.
ICST-2013-CarrozzaCNPR #analysis #industrial #predict: Analysis and Prediction of Mandelbugs in an Industrial Software System (GC, DC, RN, RP, SR), pp. 262–271.
ICTSS-2013-BadriBF #case study #empirical #predict #testing: Predicting the Size of Test Suites from Use Cases: An Empirical Exploration (MB, LB, WF), pp. 114–132.
ISSTA-2013-GuiSLSDW #model checking #predict #reliability #testing: Combining model checking and testing with an application to reliability prediction and distribution (LG, JS, YL, YJS, JSD, XW), pp. 101–111.
VMCAI-2013-JohnNN #network #predict: Knockout Prediction for Reaction Networks with Partial Kinetic Information (MJ, MN, JN), pp. 355–374.
QoSA-2012-Groenda #modelling #performance #predict: Improving performance predictions by accounting for the accuracy of composed performance models (HG), pp. 111–116.
WICSA-ECSA-2012-FrancoBR #architecture #automation #predict #reliability: Automated Reliability Prediction from Formal Architectural Descriptions (JMF, RB, MZR), pp. 302–309.
WICSA-ECSA-2012-RathfelderBKR #email #monitoring #performance #predict #scalability #using: Workload-aware System Monitoring Using Performance Predictions Applied to a Large-scale E-Mail System (CR, SB, KK, RHR), pp. 31–40.
ASE-2012-LuCC #fault #learning #predict #reduction #using: Software defect prediction using semi-supervised learning with dimension reduction (HL, BC, MC), pp. 314–317.
ASE-2012-Nogueira #complexity #predict #testing: Predicting software complexity by means of evolutionary testing (AFN), pp. 402–405.
ASE-2012-SeoK #predict: Predicting recurring crash stacks (HS, SK), pp. 180–189.
ASE-2012-SharT #predict #validation #web: Predicting common web application vulnerabilities from input validation and sanitization code patterns (LKS, HBKT), pp. 310–313.
ASE-2012-WestermannHKF #automation #performance #predict: Automated inference of goal-oriented performance prediction functions (DW, JH, RK, RF), pp. 190–199.
DAC-2012-DonkohLS #adaptation #design #hybrid #predict #using: A hybrid and adaptive model for predicting register file and SRAM power using a reference design (ED, AL, ES), pp. 62–67.
DAC-2012-KumarBKV #analysis #predict #source code #using: Early prediction of NBTI effects using RTL source code analysis (JAK, KMB, HK, SV), pp. 808–813.
DAC-2012-LiANSVZ #design #physics #predict: Guiding a physical design closure system to produce easier-to-route designs with more predictable timing (ZL, CJA, GJN, CCNS, NV, NYZ), pp. 465–470.
DAC-2012-RoyC #analysis #predict: Predicting timing violations through instruction-level path sensitization analysis (SR, KC), pp. 1074–1081.
DAC-2012-SinhaYCCC #design #modelling #predict: Exploring sub-20nm FinFET design with predictive technology models (SS, GY, VC, BC, YC), pp. 283–288.
DAC-2012-VelamalaSSC #matter #physics #predict #statistics: Physics matters: statistical aging prediction under trapping/detrapping (JBV, KS, TS, YC), pp. 139–144.
DATE-2012-MuradoreQF #network #predict: Predictive control of networked control systems over differentiated services lossy networks (RM, DQ, PF), pp. 1245–1250.
DATE-2012-Sadooghi-AlvandiAM #branch #predict #towards: Toward virtualizing branch direction prediction (MSA, KA, AM), pp. 455–460.
DATE-2012-SharifiAR #named #predict: TempoMP: Integrated prediction and management of temperature in heterogeneous MPSoCs (SS, RZA, TSR), pp. 593–598.
DATE-2012-TanLXTC #branch #energy #predict #stack: Energy-efficient branch prediction with Compiler-guided History Stack (MT, XL, ZX, DT, XC), pp. 449–454.
DATE-2012-ZuluagaBT #case study #design #predict #trade-off: Predicting best design trade-offs: A case study in processor customization (MZ, EVB, NPT), pp. 1030–1035.
HT-2012-HartigH #linked data #modelling #open data #predict #query: Query prediction with context models for populating personal linked data caches (OH, TH), pp. 325–326.
HT-2012-KhabiriCK #predict #realtime #semantics #web: Predicting semantic annotations on the real-time web (EK, JC, KYK), pp. 219–228.
SIGMOD-2012-GiatrakosDGSS #data type #distributed #geometry #monitoring #predict: Prediction-based geometric monitoring over distributed data streams (NG, AD, MNG, IS, AS), pp. 265–276.
VLDB-2012-SwitakowskiBZ #predict: From Cooperative Scans to Predictive Buffer Management (MS, PAB, MZ), pp. 1759–1770.
CSMR-2012-GoulaoFWA #analysis #case study #comparative #evolution #predict #using: Software Evolution Prediction Using Seasonal Time Analysis: A Comparative Study (MG, NF, MW, FBeA), pp. 213–222.
CSMR-2012-HosseiniNG #debugging #predict #using: A Market-Based Bug Allocation Mechanism Using Predictive Bug Lifetimes (HH, RN, MWG), pp. 149–158.
CSMR-2012-KarusD #predict #xml: Predicting Coding Effort in Projects Containing XML (SK, MD), pp. 203–212.
ICSM-2012-HmoodEKR #open source #predict: Applying technical stock market indicators to analyze and predict the evolvability of open source projects (AH, ME, IK, JR), pp. 613–616.
MSR-2012-BettenburgNH #fault #modelling #predict: Think locally, act globally: Improving defect and effort prediction models (NB, MN, AEH), pp. 60–69.
MSR-2012-GigerPG #analysis #empirical #predict: Can we predict types of code changes? An empirical analysis (EG, MP, HCG), pp. 217–226.
SCAM-2012-BusingeSB #eclipse #plugin #predict: Compatibility Prediction of Eclipse Third-Party Plug-ins in New Eclipse Releases (JB, AS, MvdB), pp. 164–173.
WCRE-2012-AbebeATAG #fault #predict #question #smell: Can Lexicon Bad Smells Improve Fault Prediction? (SLA, VA, PT, GA, YGG), pp. 235–244.
WCRE-2012-TianLS #classification #debugging #fine-grained #information retrieval #nearest neighbour #predict: Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction (YT, DL, CS), pp. 215–224.
CHI-2012-FitchettC #named #predict #what: AccessRank: predicting what users will do next (SF, AC), pp. 2239–2242.
CHI-2012-NavalpakkamC #experience #predict: Mouse tracking: measuring and predicting users’ experience of web-based content (VN, EFC), pp. 2963–2972.
CHI-2012-SwearnginCJB #generative #legacy #modelling #performance #predict: Easing the generation of predictive human performance models from legacy systems (AS, MBC, BEJ, RKEB), pp. 2489–2498.
CSCW-2012-FugelstadDMKMTS #community #online #predict #what: What makes users rate (share, tag, edit...)?: predicting patterns of participation in online communities (PF, PD, JFM, JK, CAM, LGT, MS), pp. 969–978.
CSCW-2012-Gilbert12a #predict: Predicting tie strength in a new medium (EG), pp. 1047–1056.
CSCW-2012-RzeszotarskiK #learning #predict #wiki #word: Learning from history: predicting reverted work at the word level in wikipedia (JMR, AK), pp. 437–440.
CSCW-2012-TripathiB #experience #modelling #predict: Predicting creativity in the wild: experience sample and sociometric modeling of teams (PT, WB), pp. 1203–1212.
CAiSE-2012-KhazankinSD #crowdsourcing #predict: Predicting QoS in Scheduled Crowdsourcing (RK, DS, SD), pp. 460–472.
ICEIS-v1-2012-AstiazaraB #energy #predict: Application of an Artificial Immune System to Predict Electrical Energy Fraud and Theft (MVA, DACB), pp. 265–271.
CIKM-2012-ChengTH #database #effectiveness #keyword #predict #query: Predicting the effectiveness of keyword queries on databases (SC, AT, VH), pp. 1213–1222.
CIKM-2012-DiriyeWBD #comprehension #predict #web: Leaving so soon?: understanding and predicting web search abandonment rationales (AD, RW, GB, STD), pp. 1025–1034.
CIKM-2012-EldardiryN #analysis #classification #graph #how #predict: An analysis of how ensembles of collective classifiers improve predictions in graphs (HE, JN), pp. 225–234.
CIKM-2012-GuoLA #fine-grained #interactive #predict #web: Predicting web search success with fine-grained interaction data (QG, DL, EA), pp. 2050–2054.
CIKM-2012-HuangCLL #predict #probability #process #social #using: Predicting aggregate social activities using continuous-time stochastic process (SH, MC, BL, DL), pp. 982–991.
CIKM-2012-HuangNHT #network #predict #social #trust: Trust prediction via aggregating heterogeneous social networks (JH, FN, HH, YCT), pp. 1774–1778.
CIKM-2012-KangLC #category theory #predict: Predicting primary categories of business listings for local search (CK, JL, YC), pp. 2591–2594.
CIKM-2012-KanhabuaN12a #predict #query #retrieval: Estimating query difficulty for news prediction retrieval (NK, KN), pp. 2623–2626.
CIKM-2012-KolesnikovLT #predict: Predicting CTR of new ads via click prediction (AK, YL, VT), pp. 2547–2550.
CIKM-2012-KootiMGC #network #online #predict #social: Predicting emerging social conventions in online social networks (FK, WAM, PKG, MC), pp. 445–454.
CIKM-2012-KrikonCK #performance #predict #retrieval: Predicting the performance of passage retrieval for question answering (EK, DC, OK), pp. 2451–2454.
CIKM-2012-KupavskiiOUUSGK #predict #twitter: Prediction of retweet cascade size over time (AK, LO, AU, SU, PS, GG, AK), pp. 2335–2338.
CIKM-2012-KurlandRS #clustering #predict #ranking: Query-performance prediction and cluster ranking: two sides of the same coin (OK, FR, AS), pp. 2459–2462.
CIKM-2012-KurlandSHRCR #framework #predict #probability: Back to the roots: a probabilistic framework for query-performance prediction (OK, AS, SH, FR, DC, OR), pp. 823–832.
CIKM-2012-KustarevUMS #performance #predict #query: Session-based query performance prediction (AK, YU, AM, PS), pp. 2563–2566.
CIKM-2012-LiuLCBZ #predict: Exploring and predicting search task difficulty (JL, CL, MJC, NJB, XZ), pp. 1313–1322.
CIKM-2012-LongBDC #e-commerce #predict: Enhancing product search by best-selling prediction in e-commerce (BL, JB, AD, YC), pp. 2479–2482.
CIKM-2012-MarkovitsSKC #performance #predict #query #retrieval: Predicting query performance for fusion-based retrieval (GM, AS, OK, DC), pp. 813–822.
CIKM-2012-ShinSD #multi #predict: Multi-scale link prediction (DS, SS, ISD), pp. 215–224.
CIKM-2012-SouihliS #predict #probability #query #xml: Demonstrating ProApproX 2.0: a predictive query engine for probabilistic XML (AS, PS), pp. 2734–2736.
CIKM-2012-WangC #learning #predict #word: Learning to predict the cost-per-click for your ad words (CJW, HHC), pp. 2291–2294.
CIKM-2012-YangZW #collaboration #incremental #predict #scalability #using: Scalable collaborative filtering using incremental update and local link prediction (XY, ZZ, KW), pp. 2371–2374.
ECIR-2012-AlhadiGKN #microblog #monitoring #named #predict: LiveTweet: Monitoring and Predicting Interesting Microblog Posts (ACA, TG, JK, NN), pp. 569–570.
ECIR-2012-BoudinND #predict #query #using: Using a Medical Thesaurus to Predict Query Difficulty (FB, JYN, MD), pp. 480–484.
ECIR-2012-GaugazSDIGH #impact analysis #predict: Predicting the Future Impact of News Events (JG, PS, GD, TI, MG, NH), pp. 50–62.
ECIR-2012-OghinaBTR #predict #social #social media #using: Predicting IMDB Movie Ratings Using Social Media (AO, MB, MT, MdR), pp. 503–507.
ECIR-2012-SondhiVZ #predict #reliability: Reliability Prediction of Webpages in the Medical Domain (PS, VGVV, CZ), pp. 219–231.
ECIR-2012-ZhouCHLJ #predict #query #web: Assessing and Predicting Vertical Intent for Web Queries (KZ, RC, MH, ML, JMJ), pp. 499–502.
ICML-2012-BalasubramanianL #multi #predict: The Landmark Selection Method for Multiple Output Prediction (KB, GL), p. 41.
ICML-2012-DavisCBPPC #clustering #predict #relational: Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events (JD, VSC, EB, DP, PLP, MC), p. 172.
ICML-2012-DoppaFT #predict: Output Space Search for Structured Prediction (JRD, AF, PT), p. 107.
ICML-2012-EbanBSG #learning #online #predict #sequence: Learning the Experts for Online Sequence Prediction (EE, AB, SSS, AG), p. 38.
ICML-2012-HartikainenSS #modelling #predict: State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction (JH, MS, SS), p. 96.
ICML-2012-KoepkeB #performance #predict: Fast Prediction of New Feature Utility (HAK, MB), p. 130.
ICML-2012-MenonJVEO #predict #ranking: Predicting accurate probabilities with a ranking loss (AKM, XJ, SV, CE, LOM), p. 88.
ICML-2012-SamdaniR #learning #performance #predict: Efficient Decomposed Learning for Structured Prediction (RS, DR), p. 200.
ICML-2012-SarkarCJ #network #parametricity #predict: Nonparametric Link Prediction in Dynamic Networks (PS, DC, MIJ), p. 246.
ICML-2012-SchwingHPU #modelling #performance #predict #visual notation: Efficient Structured Prediction with Latent Variables for General Graphical Models (AGS, TH, MP, RU), p. 216.
ICML-2012-ShanKRBSR #matrix #predict #probability #using: Gap Filling in the Plant Kingdom — Trait Prediction Using Hierarchical Probabilistic Matrix Factorization (HS, JK, PBR, AB, FS, MR), p. 47.
ICML-2012-SheffetMI #behaviour #predict: Predicting Consumer Behavior in Commerce Search (OS, NM, SI), p. 233.
ICML-2012-ShivaswamyJ #learning #online #predict: Online Structured Prediction via Coactive Learning (PS, TJ), p. 12.
ICML-2012-Zhu #feature model #modelling #parametricity #predict: Max-Margin Nonparametric Latent Feature Models for Link Prediction (JZ), p. 154.
ICPR-2012-FilipHS #predict: Predicting environment illumination effects on material appearance (JF, MH, JS), pp. 2075–2078.
ICPR-2012-HidoM #feature model #predict: Temporal feature selection for time-series prediction (SH, TM), pp. 3557–3560.
ICPR-2012-HiradeY #learning #predict: Ensemble learning for change-point prediction (RH, TY), pp. 1860–1863.
ICPR-2012-KumarRS #learning #predict: Learning to predict super resolution wavelet coefficients (NK, NKR, AS), pp. 3468–3471.
ICPR-2012-MatsuoK #behaviour #monitoring #predict: Prediction of drowsy driving by monitoring driver’s behavior (HM, AK), pp. 3390–3393.
ICPR-2012-MiaoLZ #fault #feature model #predict: Cost-sensitive feature selection with application in software defect prediction (LM, ML, DZ), pp. 967–970.
ICPR-2012-SemenovichSG #modelling #predict: Predicting onsets of genocide with sparse additive models (DS, AS, BEG), pp. 3549–3552.
ICPR-2012-TakahashiI #predict: Predicting battery life from usage trajectory patterns (TT, TI), pp. 2946–2949.
ICPR-2012-YeD #learning #predict: Learning features for predicting OCR accuracy (PY, DSD), pp. 3204–3207.
ICPR-2012-ZhaoSS #learning #predict: Importance-weighted label prediction for active learning with noisy annotations (LZ, GS, RS), pp. 3476–3479.
KDD-2012-ChengZAMZZN #multi #predict: Multimedia features for click prediction of new ads in display advertising (HC, RvZ, JA, EM, RZ, YZ, VN), pp. 777–785.
KDD-2012-ChenMTJ #metric #predict: Playlist prediction via metric embedding (SC, JLM, DT, TJ), pp. 714–722.
KDD-2012-ChenY #predict: Position-normalized click prediction in search advertising (YC, TWY), pp. 795–803.
KDD-2012-Douglas #modelling #multi #predict: Leveraging predictive modeling to reduce signal theft in a multi-service organization environment (SD), p. 1004.
KDD-2012-KimLX #image #multi #predict #process #using #web: Web image prediction using multivariate point processes (GK, FFL, EPX), pp. 1068–1076.
KDD-2012-OlteanuS #clustering #correlation #energy #named #network #nondeterminism #predict: DAGger: clustering correlated uncertain data (to predict asset failure in energy networks) (DO, SJvS), pp. 1504–1507.
KDD-2012-RaederSDPP #design #predict #robust: Design principles of massive, robust prediction systems (TR, OS, BD, CP, FJP), pp. 1357–1365.
KDD-2012-YuDRZY #classification #multi #predict: Transductive multi-label ensemble classification for protein function prediction (GXY, CD, HR, GZ, ZY), pp. 1077–1085.
KDIR-2012-GarciaGG #information management #performance #predict #validation: Predicting the Efficiency with Knowledge Discovery of a Budgeted Company: A Cuban University — Validation through Three Semesters (LIG, IG, RG), pp. 315–318.
KDIR-2012-IkebeKT #learning #predict #smarttech #using: Friendship Prediction using Semi-supervised Learning of Latent Features in Smartphone Usage Data (YI, MK, HT), pp. 199–205.
KMIS-2012-PortelaPS #data mining #mining #modelling #pervasive #predict: Data Mining Predictive Models for Pervasive Intelligent Decision Support in Intensive Care Medicine (FP, FP, MFS), pp. 81–88.
KR-2012-PradeR #logic #predict #similarity: Homogeneous Logical Proportions: Their Uniqueness and Their Role in Similarity-Based Prediction (HP, GR).
MLDM-2012-DiezC #approach #classification #multi #predict: A Multiclassifier Approach for Drill Wear Prediction (AD, AC), pp. 617–630.
MLDM-2012-Herrera-YagueZ #network #predict: Prediction of Telephone User Attributes Based on Network Neighborhood Information (CHY, PJZ), pp. 645–659.
MLDM-2012-KalpakisYHMSSS #analysis #permutation #predict #using: Outcome Prediction for Patients with Severe Traumatic Brain Injury Using Permutation Entropy Analysis of Electronic Vital Signs Data (KK, SY, PFMH, CFM, LGS, DMS, TMS), pp. 415–426.
RecSys-2012-EkstrandR #algorithm #predict #recommendation: When recommenders fail: predicting recommender failure for algorithm selection and combination (MDE, JR), pp. 233–236.
RecSys-2012-SheehanP #named #personalisation #predict #student: pGPA: a personalized grade prediction tool to aid student success (MS, YP), pp. 309–310.
SEKE-2012-JangidPE #analysis #mobile #predict #sentiment #using: A Mobile Application for Stock Market Prediction Using Sentiment Analysis (KJ, PP, ME), pp. 13–18.
SEKE-2012-WangKWN #empirical #fault #metric #predict: An Empirical Study of Software Metric Selection Techniques for Defect Prediction (HW, TMK, RW, AN), pp. 94–99.
SIGIR-2012-AgichteinWDB #comprehension #continuation #predict: Search, interrupted: understanding and predicting search task continuation (EA, RWW, STD, PNB), pp. 315–324.
SIGIR-2012-AnderkaSL #predict #quality #wiki: Predicting quality flaws in user-generated content: the case of wikipedia (MA, BS, NL), pp. 981–990.
SIGIR-2012-CarmelK #information retrieval #performance #predict #query: Query performance prediction for IR (DC, OK), pp. 1196–1197.
SIGIR-2012-KongFSL #microblog #predict #twitter: Predicting lifespans of popular tweets in microblog (SK, LF, GS, KL), pp. 1129–1130.
SIGIR-2012-LiEV #predict: Want a coffee?: predicting users’ trails (WL, CE, APdV), pp. 1171–1172.
SIGIR-2012-MacdonaldTO #learning #online #predict #query #scheduling: Learning to predict response times for online query scheduling (CM, NT, IO), pp. 621–630.
SIGIR-2012-PantelGAH #modelling #predict #social: Social annotations: utility and prediction modeling (PP, MG, OA, KH), pp. 285–294.
SIGIR-2012-QumsiyehN #multi #personalisation #predict #recommendation: Predicting the ratings of multimedia items for making personalized recommendations (RQ, YKN), pp. 475–484.
SIGIR-2012-YangSLZC #network #predict #social: Friend or frenemy?: predicting signed ties in social networks (SHY, AJS, BL, HZ, YC), pp. 555–564.
OOPSLA-2012-WuZSJGS #behaviour #correlation #predict: Exploiting inter-sequence correlations for program behavior prediction (BW, ZZ, XS, YJ, YG, RS), pp. 851–866.
POPL-2012-SmaragdakisESYF #concurrent #detection #polynomial #predict: Sound predictive race detection in polynomial time (YS, JE, CS, JY, CF), pp. 387–400.
RE-2012-MaxwellAS #evolution #predict #requirements: Managing changing compliance requirements by predicting regulatory evolution (JCM, AIA, PPS), pp. 101–110.
SAC-2012-BanthiaG #fault #modelling #predict #quality: Investigating fault prediction capabilities of five prediction models for software quality (DB, AG), pp. 1259–1261.
SAC-2012-BasgaluppBR #maintenance #predict: Predicting software maintenance effort through evolutionary-based decision trees (MPB, RCB, DDR), pp. 1209–1214.
SAC-2012-BoulilaEFS #adaptation #approach #database #image #predict: High level adaptive fusion approach: application to land cover change prediction in satellite image databases (WB, KSE, IRF, BS), pp. 21–22.
SAC-2012-DrumondRS #information management #knowledge base #predict #rdf: Predicting RDF triples in incomplete knowledge bases with tensor factorization (LD, SR, LST), pp. 326–331.
SAC-2012-GriffithOS #collaboration #predict #rating: Investigations into user rating information and predictive accuracy in a collaborative filtering domain (JG, CO, HS), pp. 937–942.
SAC-2012-MenorPB #kernel #predict #probability #using: Probabilistic prediction of protein phosphorylation sites using kernel machines (MM, GP, KB), pp. 1393–1398.
SAC-2012-SarroMFG #algorithm #analysis #fault #predict #search-based: A further analysis on the use of Genetic Algorithm to configure Support Vector Machines for inter-release fault prediction (FS, SDM, FF, CG), pp. 1215–1220.
SAC-2012-SchluterC #correlation #detection #markov #modelling #predict #using: Hidden markov model-based time series prediction using motifs for detecting inter-time-serial correlations (TS, SC), pp. 158–164.
FSE-2012-CaglayanMCBAT #fault #metric #named #predict: Dione: an integrated measurement and defect prediction solution (BC, ATM, GÇ, AB, TA, BT), p. 20.
FSE-2012-FarzanMRS #concurrent #predict #source code: Predicting null-pointer dereferences in concurrent programs (AF, PM, NR, FS), p. 47.
FSE-2012-RahmanPD #fault #predict: Recalling the “imprecision” of cross-project defect prediction (FR, DP, PTD), p. 61.
ICSE-2012-BhattacharyaINF #analysis #evolution #graph #predict: Graph-based analysis and prediction for software evolution (PB, MI, IN, MF), pp. 419–429.
ICSE-2012-HataMK #debugging #fine-grained #predict: Bug prediction based on fine-grained module histories (HH, OM, TK), pp. 200–210.
ICSE-2012-PetersM #fault #predict #privacy: Privacy and utility for defect prediction: Experiments with MORPH (FP, TM), pp. 189–199.
ICSE-2012-SharT #injection #mining #predict #sql: Mining input sanitization patterns for predicting SQL injection and cross site scripting vulnerabilities (LKS, HBKT), pp. 1293–1296.
ICSE-2012-SiegmundKKABRS #automation #detection #performance #predict: Predicting performance via automated feature-interaction detection (NS, SSK, CK, SA, DSB, MR, GS), pp. 167–177.
ICSE-2012-ZimmermannNGM #debugging #predict: Characterizing and predicting which bugs get reopened (TZ, NN, PJG, BM), pp. 1074–1083.
CC-2012-FarooqCJ #branch #compilation #predict: Compiler Support for Value-Based Indirect Branch Prediction (MUF, LC, LKJ), pp. 185–199.
CGO-2012-ParkCA #graph #modelling #predict #using: Using graph-based program characterization for predictive modeling (EP, JC, MAA), pp. 196–206.
LCTES-2012-FangLZLCZ #analysis #multi #predict: Improving dynamic prediction accuracy through multi-level phase analysis (ZF, JL, WZ, YL, HC, BZ), pp. 89–98.
LCTES-2012-ZuluagaKMP #design #predict: “Smart” design space sampling to predict Pareto-optimal solutions (MZ, AK, PAM, MP), pp. 119–128.
PPoPP-2012-NugterenC #adaptation #parallel #performance #predict: The boat hull model: adapting the roofline model to enable performance prediction for parallel computing (CN, HC), pp. 291–292.
ISSTA-2012-LiRCS #debugging #detection #precise #predict: Residual investigation: predictive and precise bug detection (KL, CR, CC, YS), pp. 298–308.
CBSE-2011-OtteGS #component #deployment #distributed #embedded #enterprise #predict #realtime: Predictable deployment in component-based enterprise distributed real-time and embedded systems (WO, ASG, DCS), pp. 21–30.
QoSA-ISARCS-2011-BroschBKR #architecture #fault tolerance #predict #reliability: Reliability prediction for fault-tolerant software architectures (FB, BB, HK, RHR), pp. 75–84.
QoSA-ISARCS-2011-KlattRK #communication #framework #integration #predict #quality: Integration of event-based communication in the palladio software quality prediction framework (BK, CR, SK), pp. 43–52.
WICSA-2011-RathfelderK #architecture #component #predict: Palladio Workbench: A Quality-Prediction Tool for Component-Based Architectures (CR, BK), pp. 347–350.
ASE-2011-GanaiAWGB #concurrent #multi #named #predict #testing #thread: BEST: A symbolic testing tool for predicting multi-threaded program failures (MKG, NA, CW, AG, GB), pp. 596–599.
ASE-2011-MenziesBMZC #estimation #fault #modelling #predict: Local vs. global models for effort estimation and defect prediction (TM, AB, AM, TZ, DRC), pp. 343–351.
ASE-2011-RathfelderKE #automation #capacity #performance #predict #using: Capacity planning for event-based systems using automated performance predictions (CR, SK, DE), pp. 352–361.
ASE-2011-ZhangMPL #monitoring #predict #runtime: Run-time systems failure prediction via proactive monitoring (PZ, HM, AP, XL), pp. 484–487.
CASE-2011-PampuriSLN #maintenance #predict: Proportional hazard model with ℓ1 Penalization applied to Predictive Maintenance in semiconductor manufacturing (SP, AS, CDL, GDN), pp. 250–255.
CASE-2011-PurwinsNBHKLPW #predict: Regression methods for prediction of PECVD Silicon Nitride layer thickness (HP, AN, BB, UH, AK, BL, GP, KW), pp. 387–392.
CASE-2011-SustoBL #maintenance #predict: A Predictive Maintenance System for Silicon Epitaxial Deposition (GAS, AB, CDL), pp. 262–267.
DAC-2011-AadithyaVDR #impact analysis #named #predict #probability #random: MUSTARD: a coupled, stochastic/deterministic, discrete/continuous technique for predicting the impact of random telegraph noise on SRAMs and DRAMs (KVA, SV, AD, JSR), pp. 292–297.
DAC-2011-DongL #performance #predict: Efficient SRAM failure rate prediction via Gibbs sampling (CD, XL), pp. 200–205.
DATE-2011-AkessonG #architecture #integration #memory management #modelling #predict: Architectures and modeling of predictable memory controllers for improved system integration (BA, KG), pp. 851–856.
DATE-2011-BartoliniCTB #distributed #energy #multi #predict #self: A distributed and self-calibrating model-predictive controller for energy and thermal management of high-performance multicores (AB, MC, AT, LB), pp. 830–835.
DATE-2011-DrmanacSWWA #multi #optimisation #parametricity #predict #testing: Multidimensional parametric test set optimization of wafer probe data for predicting in field failures and setting tighter test limits (DGD, NS, LW, LCW, MSA), pp. 794–799.
DATE-2011-GhermanMECB #concurrent #fault #predict #self: Error prediction based on concurrent self-test and reduced slack time (VG, JM, SE, SC, YB), pp. 1626–1631.
DATE-2011-GuoCSCWH #debugging #design #empirical #predict #verification: Empirical design bugs prediction for verification (QG, TC, HS, YC, YW, WH), pp. 161–166.
DATE-2011-KimCY #distributed #predict #simulation: A new distributed event-driven gate-level HDL simulation by accurate prediction (DK, MJC, SY), pp. 547–550.
DATE-2011-PenolazziSH #energy #multi #performance #predict: Predicting bus contention effects on energy and performance in multi-processor SoCs (SP, IS, AH), pp. 1196–1199.
DATE-2011-WolfG #integration #predict: SoC infrastructures for predictable system integration (PvdW, JG), pp. 857–862.
DRR-2011-RabeuxJD #documentation #evaluation #fault #predict: Ancient documents bleed-through evaluation and its application for predicting OCR error rates (VR, NJ, JPD), pp. 1–10.
HT-2011-SeroussiBZ #modelling #personalisation #predict #rating #using: Personalised rating prediction for new users using latent factor models (YS, FB, IZ), pp. 47–56.
HT-2011-SquicciariniSLW #adaptation #image #named #policy #predict #resource management: A3P: adaptive policy prediction for shared images over popular content sharing sites (ACS, SS, DL, JW), pp. 261–270.
SIGMOD-2011-DugganCPU #concurrent #database #performance #predict: Performance prediction for concurrent database workloads (JD, UÇ, OP, EU), pp. 337–348.
SIGMOD-2011-KantereDGA #predict #query: Predicting cost amortization for query services (VK, DD, GG, AA), pp. 325–336.
VLDB-2012-PavloJZ11 #execution #modelling #on the #optimisation #parallel #predict #transaction: On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems (AP, EPCJ, SBZ), pp. 85–96.
CSEET-2011-HaleJG #performance #predict #student: Predicting individual performance in student project teams (MLH, NJ, RFG), pp. 11–20.
CSMR-2011-KraftKNCH #embedded #maintenance #predict #research: Software Maintenance Research in the PROGRESS Project for Predictable Embedded Software Systems (JK, HMK, TN, IC, HH), pp. 335–338.
CSMR-2011-LamkanfiDSV #algorithm #debugging #mining #predict: Comparing Mining Algorithms for Predicting the Severity of a Reported Bug (AL, SD, QDS, TV), pp. 249–258.
CSMR-2011-MendeKP #case study #fault #integration #on the #predict #testing: On the Utility of a Defect Prediction Model during HW/SW Integration Testing: A Retrospective Case Study (TM, RK, JP), pp. 259–268.
ICPC-2011-TothVBG #complexity #metric #predict #process: Adding Process Metrics to Enhance Modification Complexity Prediction (GT, AZV, ÁB, TG), pp. 201–204.
ICSM-2011-KhomhCZSD #fault #predict #testing #using: Predicting post-release defects using pre-release field testing results (FK, BC, YZ, AS, DD), pp. 253–262.
ICSM-2011-KobayashiMIHKY #fault #impact analysis #named #predict #scalability: ImpactScale: Quantifying change impact to predict faults in large software systems (KK, AM, KI, YH, MK, TY), pp. 43–52.
ICSM-2011-NishizonoMVM #comprehension #empirical #evolution #industrial #maintenance #metric #predict #source code: Source code comprehension strategies and metrics to predict comprehension effort in software maintenance and evolution tasks — an empirical study with industry practitioners (KN, SM, RV, KiM), pp. 473–481.
ICSM-2011-RomanoP #interface #java #metric #predict #source code #using: Using source code metrics to predict change-prone Java interfaces (DR, MP), pp. 303–312.
MSR-2011-BhattacharyaN #debugging #modelling #predict #question: Bug-fix time prediction models: can we do better? (PB, IN), pp. 207–210.
MSR-2011-GigerPG #debugging #fine-grained #predict #source code: Comparing fine-grained source code changes and code churn for bug prediction (EG, MP, HCG), pp. 83–92.
WCRE-2011-AryaniPLMN #dependence #predict #question #using: Can We Predict Dependencies Using Domain information? (AA, FP, ML, ANM, ON), pp. 55–64.
WCRE-2011-TanPPZ #clustering #fault #predict #quality: Assessing Software Quality by Program Clustering and Defect Prediction (XT, XP, SP, WZ), pp. 244–248.
CHI-2011-John #design #modelling #performance #predict #recommendation #user interface #using: Using predictive human performance models to inspire and support UI design recommendations (BEJ), pp. 983–986.
CHI-2011-SporkaFKPHM #named #predict #using: CHANTI: predictive text entry using non-verbal vocal input (AJS, TF, SHK, OP, PH, ISM), pp. 2463–2472.
CHI-2011-TausczikP #online #predict #quality: Predicting the perceived quality of online mathematics contributions from users’ reputations (YRT, JWP), pp. 1885–1888.
CHI-2011-WobbrockJS #2d #fault #modelling #predict: Modeling and predicting pointing errors in two dimensions (JOW, AJ, KS), pp. 1653–1656.
CSCW-2011-ParkKKLS #predict #sentiment: The politics of comments: predicting political orientation of news stories with commenters’ sentiment patterns (SP, MK, JK, YL, JS), pp. 113–122.
DHM-2011-ChiouCC #3d #predict #reliability: The Effects of Landmarks and Training on 3D Surface Anthropometric Reliability and Hip Joint Center Prediction (WKC, BHC, WYC), pp. 3–11.
DHM-2011-HowardY #case study #predict: Predicting Support Reaction Forces for Standing and Seated Tasks with Given Postures-A Preliminary Study (BH, J(Y), pp. 89–98.
DHM-2011-MarlerKJ #analysis #predict: Optimization-Based Posture Prediction for Analysis of Box Lifting Tasks (TM, LK, RJ), pp. 151–160.
DHM-2011-MobusEG #composition #predict: Predicting the Focus of Attention and Deficits in Situation Awareness with a Modular Hierarchical Bayesian Driver Model (CM, ME, HG), pp. 483–492.
DHM-2011-ZouZYBGC #predict: An Alternative Formulation for Determining Weights of Joint Displacement Objective Function in Seated Posture Prediction (QZ, QZ, J(Y, RB, JG, AC), pp. 231–242.
HCI-MIIE-2011-LinH #adaptation #performance #predict: Predicting the Effects of Time-Gaps for Adaptive Cruise Control (ACC) on Bus Driver Performance (BTWL, SLH), pp. 435–443.
HIMI-v1-2011-YanoAFJ #modelling #performance #predict #process: Feasibility Study of Predictive Human Performance Modeling Technique in Field Activities (NY, TA, SF, BEJ), pp. 180–189.
OCSC-2011-PujariK #approach #machine learning #predict #recommendation: A Supervised Machine Learning Link Prediction Approach for Tag Recommendation (MP, RK), pp. 336–344.
ICEIS-v1-2011-LiZS #network #predict: A New Network Traffic Prediction Model in Cognitive Networks (DL, RZ, XS), pp. 427–435.
ICEIS-v1-2011-NiknafsSRR #analysis #comparative #predict: Comparative Analysis of Three Techniques for Predictions in Time Series Having Repetitive Patterns (AN, BS, MMR, GR), pp. 177–182.
ICEIS-v2-2011-FronzaSSV #approach #predict #towards: Toward a Non Invasive Control of Applications — A Biomedical Approach to Failure Prediction (IF, AS, GS, JV), pp. 83–91.
ICEIS-v2-2011-LongLG #algorithm #performance #predict #search-based: High-speed Railway based on Genetic Algorithm for Prediction of Travel Choice (CL, JL, YG), pp. 26–31.
CIKM-2011-AmodeoBB #hybrid #modelling #predict: Hybrid models for future event prediction (GA, RB, UB), pp. 1981–1984.
CIKM-2011-ChiangNTD #network #predict: Exploiting longer cycles for link prediction in signed networks (KYC, NN, AT, ISD), pp. 1157–1162.
CIKM-2011-DengLPCX #ad hoc #database #graph #predict #query #reachability: Predicting the optimal ad-hoc index for reachability queries on graph databases (JD, FL, YP, BC, JX), pp. 2357–2360.
CIKM-2011-DhillonSS #information management #learning #modelling #multi #predict #web: Semi-supervised multi-task learning of structured prediction models for web information extraction (PSD, SS, SKS), pp. 957–966.
CIKM-2011-FeiJYLH #approach #behaviour #learning #multi #predict #social: Content based social behavior prediction: a multi-task learning approach (HF, RJ, YY, BL, JH), pp. 995–1000.
CIKM-2011-GaoDG #predict: Temporal link prediction by integrating content and structure information (SG, LD, PG), pp. 1169–1174.
CIKM-2011-HarveyCRC #collaboration #modelling #predict #rating: Bayesian latent variable models for collaborative item rating prediction (MH, MJC, IR, FC), pp. 699–708.
CIKM-2011-HopcroftLT #predict: Who will follow you back?: reciprocal relationship prediction (JEH, TL, JT), pp. 1137–1146.
CIKM-2011-KeikhaSCC #documentation #effectiveness #feedback #predict #pseudo: Predicting document effectiveness in pseudo relevance feedback (MK, JS, WBC, FC), pp. 2061–2064.
CIKM-2011-LakkarajuA #predict #social #social media: Attention prediction on social media brand pages (HL, JA), pp. 2157–2160.
CIKM-2011-LiYL #power of #predict #random: Link prediction: the power of maximal entropy random walk (RHL, JXY, JL), pp. 1147–1156.
CIKM-2011-LymberopoulosZKBL #mobile #predict: Location-aware click prediction in mobile local search (DL, PZ, ACK, KB, JL), pp. 413–422.
CIKM-2011-MoghaddamJE #bibliography #online #personalisation #predict #quality #recommendation: Review recommendation: personalized prediction of the quality of online reviews (SM, MJ, ME), pp. 2249–2252.
CIKM-2011-MohtaramiALT #nondeterminism #predict #sentiment: Predicting the uncertainty of sentiment adjectives in indirect answers (MM, HA, ML, CLT), pp. 2485–2488.
CIKM-2011-ShiLY #graph #predict: Collective prediction with latent graphs (XS, YL, PSY), pp. 1127–1136.
CIKM-2011-YanTLSL #learning #predict: Citation count prediction: learning to estimate future citations for literature (RY, JT, XL, DS, XL), pp. 1247–1252.
CIKM-2011-YinHD #analysis #microblog #predict: Structural link analysis and prediction in microblogs (DY, LH, BDD), pp. 1163–1168.
ECIR-2011-BuccioMS #framework #predict #towards #using: Towards Predicting Relevance Using a Quantum-Like Framework (EDB, MM, DS), pp. 755–758.
ECIR-2011-ChilukaAP #approach #predict #recommendation #scalability: A Link Prediction Approach to Recommendations in Large-Scale User-Generated Content Systems (NC, NA, JAP), pp. 189–200.
ECIR-2011-TackstromM #fine-grained #modelling #predict #sentiment: Discovering Fine-Grained Sentiment with Latent Variable Structured Prediction Models (OT, RTM), pp. 368–374.
ICML-2011-BrouarddS #kernel #predict: Semi-supervised Penalized Output Kernel Regression for Link Prediction (CB, FdB, MS), pp. 593–600.
ICML-2011-CossalterYZ #adaptation #approximate #kernel #predict #scalability: Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction (MC, RY, LZ), pp. 409–416.
ICML-2011-DekelGSX #distributed #online #predict: Optimal Distributed Online Prediction (OD, RGB, OS, LX), pp. 713–720.
ICML-2011-GerrishB #predict: Predicting Legislative Roll Calls from Text (SG, DMB), pp. 489–496.
ICML-2011-Reyzin #predict: Boosting on a Budget: Sampling for Feature-Efficient Prediction (LR), pp. 529–536.
ICML-2011-UrnerSB #predict: Access to Unlabeled Data can Speed up Prediction Time (RU, SSS, SBD), pp. 641–648.
KDD-2011-BilenkoR #personalisation #predict: Predictive client-side profiles for personalized advertising (MB, MR), pp. 413–421.
KDD-2011-BrucknerS #game studies #predict #problem: Stackelberg games for adversarial prediction problems (MB, TS), pp. 547–555.
KDD-2011-Dhurandhar #predict #using: Improving predictions using aggregate information (AD), pp. 1118–1126.
KDD-2011-LiuHLMPV #modelling #predict #quality #visual notation: Latent graphical models for quantifying and predicting patent quality (YL, PyH, RL, SM, CP, AV), pp. 1145–1153.
KDD-2011-MenonCGAK #collaboration #predict #using: Response prediction using collaborative filtering with hierarchies and side-information (AKM, KPC, SG, DA, NK), pp. 141–149.
KDD-2011-ScellatoNM #network #predict #social: Exploiting place features in link prediction on location-based social networks (SS, AN, CM), pp. 1046–1054.
KDD-2011-SteinbergM #modelling #optimisation #predict: Broad scale predictive modeling and marketing optimization in retail sales (DS, FFM), p. 780.
KDD-2011-TorgoO #2d #predict: 2D-interval predictions for time series (LT, OO), pp. 787–794.
KDD-2011-ValizadeganJW #learning #multi #predict: Learning to trade off between exploration and exploitation in multiclass bandit prediction (HV, RJ, SW), pp. 204–212.
KDD-2011-WangPSGB #predict #social: Human mobility, social ties, and link prediction (DW, DP, CS, FG, ALB), pp. 1100–1108.
KDD-2011-ZhangCWY #behaviour #comprehension #modelling #predict: User-click modeling for understanding and predicting search-behavior (YZ, WC, DW, QY), pp. 1388–1396.
KDD-2011-ZhangLWGZG #data type #modelling #performance #predict: Enabling fast prediction for ensemble models on data streams (PZ, JL, PW, BJG, XZ, LG), pp. 177–185.
KDD-2011-ZhouYLY #learning #multi #predict: A multi-task learning formulation for predicting disease progression (JZ, LY, JL, JY), pp. 814–822.
KDIR-2011-BonninBB #mining #predict #web: Handling Tabbing and Backward References for Predictive Web Usage Mining (GB, AB, AB), pp. 503–509.
KDIR-2011-HagenauLN #feature model #predict: Impact of Feature Selection and Feature Types on Financial Stock Price Prediction (MH, ML, DN), pp. 303–308.
KDIR-2011-RenC #markov #modelling #predict #transaction: Users Interest Prediction Model — Based on 2nd Markov Model and Inter-transaction Association Rules (YR, ALC), pp. 244–249.
RecSys-2011-Bellogin #performance #predict #recommendation: Predicting performance in recommender systems (AB), pp. 371–374.
RecSys-2011-CamposDS #evaluation #matrix #predict #recommendation #testing #towards: Towards a more realistic evaluation: testing the ability to predict future tastes of matrix factorization-based recommenders (PGC, FD, MASM), pp. 309–312.
RecSys-2011-IsaacmanICM #distributed #predict #rating: Distributed rating prediction in user generated content streams (SI, SI, AC, MM), pp. 69–76.
RecSys-2011-KorenS #named #personalisation #predict #rating: OrdRec: an ordinal model for predicting personalized item rating distributions (YK, JS), pp. 117–124.
RecSys-2011-SymeonidisTM #multi #network #predict #rating #recommendation #social: Product recommendation and rating prediction based on multi-modal social networks (PS, ET, YM), pp. 61–68.
SEKE-2011-FronzaSSV #predict #using: Failure Prediction based on Log Files Using the Cox Proportional Hazard Model (IF, AS, GS, JV), pp. 456–461.
SEKE-2011-GaoK #fault #predict: Software Defect Prediction for High-Dimensional and Class-Imbalanced Data (KG, TMK), pp. 89–94.
SEKE-2011-KhoshgoftaarGN #case study #comparative #predict #quality: A Comparative Study of Different Strategies for Predicting Software Quality (TMK, KG, AN), pp. 65–70.
SIGIR-2011-CuiWLOYS #predict #ranking #social #what: Who should share what?: item-level social influence prediction for users and posts ranking (PC, FW, SL, MO, SY, LS), pp. 185–194.
SIGIR-2011-CumminsJO #performance #predict #query #standard #using: Improved query performance prediction using standard deviation (RC, JMJ, CO), pp. 1089–1090.
SIGIR-2011-GuoWZAD #comprehension #predict #why: Why searchers switch: understanding and predicting engine switching rationales (QG, RWW, YZ, BA, STD), pp. 335–344.
SIGIR-2011-KanhabuaBM #predict #ranking: Ranking related news predictions (NK, RB, MM), pp. 755–764.
SIGIR-2011-LiuADGMPS #predict #web: Predicting web searcher satisfaction with existing community-based answers (QL, EA, GD, EG, YM, DP, IS), pp. 415–424.
SIGIR-2011-OchiOO #predict #rating #using #word: Rating prediction using feature words extracted from customer reviews (MO, MO, RO), pp. 1205–1206.
SIGIR-2011-YangYD #analysis #network #predict: Award prediction with temporal citation network analysis (ZY, DY, BDD), pp. 1203–1204.
SIGIR-2011-YuanCM #predict: Predicting eBay listing conversion (TTY, ZC, MM), pp. 1335–1336.
SIGIR-2011-ZhangCB #behaviour #predict: Predicting users’ domain knowledge from search behaviors (XZ, MJC, NJB), pp. 1225–1226.
RE-2011-FitzgeraldLF #feature model #predict: Early failure prediction in feature request management systems (CF, EL, AF), pp. 229–238.
SAC-2011-BabichCPK #abstraction #case study #eclipse #fault #object-oriented #predict #using: Using a class abstraction technique to predict faults in OO classes: a case study through six releases of the Eclipse JDT (DB, PJC, JFP, BMGK), pp. 1419–1424.
SAC-2011-ChamorroDA #predict: Evolutionary computation for the prediction of secondary protein structures (AEMC, FD, JSAR), pp. 1082–1087.
SAC-2011-LiuZ #memory management #predict #realtime: Exploiting time predictable two-level scratchpad memory for real-time systems (YL, WZ), pp. 395–396.
SAC-2011-ShinLSL #concurrent #monitoring #multi #predict #scheduling #thread: Predictable multithread scheduling with cycle-accurate thread progress monitor (YS, SL, MS, SL), pp. 627–628.
SAC-2011-TranCS #permutation #predict: Prediction of permuted super-secondary structures in β-barrel proteins (VDT, PC, JMS), pp. 110–111.
SAC-2011-ZhaoGFC #approach #predict #smarttech: A system context-aware approach for battery lifetime prediction in smart phones (XZ, YG, QF, XC), pp. 641–646.
ESEC-FSE-2011-LeeNHKI #fault #interactive #metric #predict: Micro interaction metrics for defect prediction (TL, JN, DH, SK, HPI), pp. 311–321.
ICSE-2011-KimZWG #fault #predict: Dealing with noise in defect prediction (SK, HZ, RW, LG), pp. 481–490.
ICSE-2011-KoziolekSBWBKTMK #case study #evolution #industrial #predict #quality: An industrial case study on quality impact prediction for evolving service-oriented software (HK, BS, CGB, RW, SB, KK, MT, RM, AK), pp. 776–785.
ICSE-2011-NguyenNP #fault #predict #topic: Topic-based defect prediction (TTN, TNN, TMP), pp. 932–935.
ICSE-2011-Petricic #component #deployment #embedded #predict: Predictable dynamic deployment of components in embedded systems (AP), pp. 1128–1129.
SPLC-2011-SiegmundRKGAK #non-functional #predict #product line #scalability: Scalable Prediction of Non-functional Properties in Software Product Lines (NS, MR, CK, PGG, SA, SSK), pp. 160–169.
CGO-2011-ParkPCCS #modelling #optimisation #predict: Predictive modeling in a polyhedral optimization space (EP, LNP, JC, AC, PS), pp. 119–129.
HPCA-2011-BrownPT #concurrent #migration #performance #predict #set #thread: Fast thread migration via cache working set prediction (JAB, LP, DMT), pp. 193–204.
LCTES-2011-SarkarMR #manycore #migration #predict: Predictable task migration for locked caches in multi-core systems (AS, FM, HR), pp. 131–140.
ICST-2011-CzerwonkaDNTT #analysis #case study #experience #named #predict: CRANE: Failure Prediction, Change Analysis and Test Prioritization in Practice — Experiences from Windows (JC, RD, NN, AT, AT), pp. 357–366.
ISSTA-2011-HuangZ #concurrent #persuasion #predict: Persuasive prediction of concurrency access anomalies (JH, CZ), pp. 144–154.
VMCAI-2011-LopesR #distributed #model checking #predict: Distributed and Predictable Software Model Checking (NPL, AR), pp. 340–355.
QoSA-2010-BabkaTB #modelling #performance #predict #random #validation: Validating Model-Driven Performance Predictions on Random Software Systems (VB, PT, LB), pp. 3–19.
QoSA-2010-BroschKBR #architecture #component #predict #reliability: Parameterized Reliability Prediction for Component-Based Software Architectures (FB, HK, BB, RHR), pp. 36–51.
CASE-2010-BraunS #approach #constraints #logic #predict: A Mixed Logical Dynamic Model Predictive Control approach for handling industrially relevant transportation constraints (MWB, JS), pp. 966–971.
CASE-2010-HanSL #predict #random: Modified generalized predictive power control for wireless networked systems with random delays (CH, DS, ZL), pp. 509–514.
CASE-2010-JiangKM #monitoring #predict: Residual life prediction for systems subject to condition monitoring (RJ, MJK, VM), pp. 106–111.
CASE-2010-KumarKST #predict #programming: A mathematical programming for predicting molecular formulas in accurate mass spectrometry (SK, MK, RS, KT), pp. 246–251.
CASE-2010-MacwanNB #approach #bound #multi #novel #online #predict #probability: On-line target-motion prediction for autonomous multirobot search in realistic terrains with time-expanding boundaries: A novel probabilistic approach (AM, GN, BB), pp. 662–667.
CASE-2010-SchirruPN #maintenance #predict #process #robust: Particle filtering of hidden Gamma processes for robust Predictive Maintenance in semiconductor manufacturing (AS, SP, GDN), pp. 51–56.
CASE-2010-SouzaPC #analysis #distributed #implementation #network #predict: Distributed model predictive control applied to urban traffic networks: Implementation, experimentation, and analysis (FAdS, VBP, EC), pp. 399–405.
DAC-2010-CochranR #consistency #detection #predict #runtime: Consistent runtime thermal prediction and control through workload phase detection (RC, SR), pp. 62–67.
DAC-2010-DhimanMR #modelling #online #predict #using: A system for online power prediction in virtualized environments using Gaussian mixture models (GD, KM, TR), pp. 807–812.
DAC-2010-HuangCKT #named #network #predict: NTPT: on the end-to-end traffic prediction in the on-chip networks (YSCH, KCKC, CTK, SYT), pp. 449–452.
DAC-2010-XieD #predict #variability: Representative path selection for post-silicon timing prediction under variability (LX, AD), pp. 386–391.
DATE-2010-AliARA #algorithm #design #energy #evaluation #predict: Evaluation and design exploration of solar harvested-energy prediction algorithm (MIA, BMAH, JR, DA), pp. 142–147.
DATE-2010-AndalamRG #multi #predict #thread #using: Deterministic, predictable and light-weight multithreading using PRET-C (SA, PSR, AG), pp. 1653–1656.
DATE-2010-GellertPZFVS #architecture #design #energy #predict #smt: Energy-performance design space exploration in SMT architectures exploiting selective load value predictions (AG, GP, VZ, AF, LNV, CS), pp. 271–274.
DATE-2010-PenolazziSH #energy #operating system #performance #predict #realtime: Predicting energy and performance overhead of Real-Time Operating Systems (SP, IS, AH), pp. 15–20.
DATE-2010-ShafiqueBH #adaptation #energy #estimation #named #predict #runtime #video: enBudget: A Run-Time Adaptive Predictive Energy-Budgeting scheme for energy-aware Motion Estimation in H.264/MPEG-4 AVC video encoder (MS, LB, JH), pp. 1725–1730.
DRR-2010-TerradesSGVJ #detection #predict: Interactive-predictive detection of handwritten text blocks (ORT, NS, AG, EV, AJ), pp. 1–10.
HT-2010-CorletteS #network #online #predict #scalability #social: Link prediction applied to an open large-scale online social network (DC, FMSI), pp. 135–140.
VLDB-2010-AkdereCU #predict #query #streaming: Database-support for Continuous Prediction Queries over Streaming Data (MA, UÇ, EU), pp. 1291–1301.
ITiCSE-2010-DennyLHDP #performance #predict #programming #self: Self-predicted and actual performance in an introductory programming course (PD, ALR, JH, DBD, HCP), pp. 118–122.
CSMR-2010-BeckerHTKK #component #modelling #predict #quality #reverse engineering: Reverse Engineering Component Models for Quality Predictions (SB, MH, MT, KK, JK), pp. 194–197.
CSMR-2010-MendeK #fault #modelling #predict: Effort-Aware Defect Prediction Models (TM, RK), pp. 107–116.
CSMR-2010-NadiHM #predict #set #using: Does the Past Say It All? Using History to Predict Change Sets in a CMDB (SN, RCH, SM), pp. 97–106.
ICSM-2010-KameiMMMAH #debugging #modelling #predict #using: Revisiting common bug prediction findings using effort-aware models (YK, SM, AM, KiM, BA, AEH), pp. 1–10.
MSR-2010-DAmbrosLR #comparison #debugging #predict: An extensive comparison of bug prediction approaches (MD, ML, RR), pp. 31–41.
MSR-2010-LamkanfiDGG #debugging #predict: Predicting the severity of a reported bug (AL, SD, EG, BG), pp. 1–10.
MSR-2010-NugrohoCA #design #java #metric #predict #uml: Assessing UML design metrics for predicting fault-prone classes in a Java system (AN, MRVC, EA), pp. 21–30.
MSR-2010-RobbesPL #game studies #ide #interactive #predict: Replaying IDE interactions to evaluate and improve change prediction approaches (RR, DP, ML), pp. 161–170.
WCRE-2010-ShihabIKIOAHM #case study #debugging #eclipse #predict: Predicting Re-opened Bugs: A Case Study on the Eclipse Project (ES, AI, YK, WMI, MO, BA, AEH, KiM), pp. 249–258.
CHI-2010-ArifS #cost analysis #fault #predict: Predicting the cost of error correction in character-based text entry technologies (ASA, WS), pp. 5–14.
CHI-2010-LiuR #mobile #predict: Predicting Chinese text entry speeds on mobile phones (YL, KJR), pp. 2183–2192.
CHI-2010-Sylvan #community #online #predict: Predicting influence in an online community of creators (ES), pp. 1913–1916.
CHI-2010-WangZC #gesture #mobile #named #predict #problem: SHRIMP: solving collision and out of vocabulary problems in mobile predictive input with motion gesture (JW, SZ, JFC), pp. 15–24.
ICEIS-AIDSS-2010-CacoveanuBP #framework #predict: Evaluating Prediction Strategies in an Enhanced Meta-learning Framework (SC, CVB, RP), pp. 148–156.
ICEIS-AIDSS-2010-KrohaN #classification #predict #roadmap: Classification of Market News and Prediction of Market Trends (PK, RN), pp. 187–192.
ICEIS-AIDSS-2010-Vilas-BoasSPSR #data mining #mining #predict: Hourly Prediction of Organ Failure and Outcome in Intensive Care based on Data Mining Techniques (MVB, MFS, FP, ÁMS, FR), pp. 270–277.
ICEIS-J-2010-PotoleaCL #evaluation #framework #predict: Meta-learning Framework for Prediction Strategy Evaluation (RP, SC, CL), pp. 280–295.
CIKM-2010-AzizR #data flow #multi #predict #robust #semistructured data: Robust prediction from multiple heterogeneous data sources with partial information (MSA, CKR), pp. 1857–1860.
CIKM-2010-BatalH #classification #predict #using: Constructing classification features using minimal predictive patterns (IB, MH), pp. 869–878.
CIKM-2010-BhattCP #network #predict #scalability #social: Predicting product adoption in large-scale social networks (RB, VC, RP), pp. 1039–1048.
CIKM-2010-HauffKA #comparison #performance #predict #query: A comparison of user and system query performance predictions (CH, DK, LA), pp. 979–988.
CIKM-2010-LiBS #bibliography #online #predict #ranking: Affinity-driven prediction and ranking of products in online product review sites (HL, SSB, AS), pp. 1745–1748.
CIKM-2010-WhiteBD #predict #using: Predicting short-term interests using activity-based search context (RWW, PNB, STD), pp. 1009–1018.
CIKM-2010-ZhaoC #predict: Term necessity prediction (LZ, JC), pp. 259–268.
ECIR-2010-BelloginC #approach #collaboration #performance #predict: A Performance Prediction Approach to Enhance Collaborative Filtering Performance (AB, PC), pp. 382–393.
ECIR-2010-Collins-ThompsonB #classification #performance #predict #query: Predicting Query Performance via Classification (KCT, PNB), pp. 140–152.
ECIR-2010-HauffAHJ #effectiveness #evaluation #performance #predict #query: Query Performance Prediction: Evaluation Contrasted with Effectiveness (CH, LA, DH, FdJ), pp. 204–216.
ECIR-2010-TsagkiasWR #modelling #online #predict: News Comments: Exploring, Modeling, and Online Prediction (MT, WW, MdR), pp. 191–203.
ECIR-2010-XingZH #image #predict #query #retrieval: Query Difficulty Prediction for Contextual Image Retrieval (XX, YZ, MH), pp. 581–585.
ICML-2010-CaoLY #learning #multi #predict: Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains (BC, NNL, QY), pp. 159–166.
ICML-2010-Cesa-BianchiGVZ #graph #predict #random: Random Spanning Trees and the Prediction of Weighted Graphs (NCB, CG, FV, GZ), pp. 175–182.
ICML-2010-DinculescuP #approximate #predict: Approximate Predictive Representations of Partially Observable Systems (MD, DP), pp. 895–902.
ICML-2010-GraepelCBH #predict: Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft’s Bing Search Engine (TG, JQC, TB, RH), pp. 13–20.
ICML-2010-LayB #classification #predict #using: Supervised Aggregation of Classifiers using Artificial Prediction Markets (NL, AB), pp. 591–598.
ICML-2010-SakumaA #online #predict #privacy: Online Prediction with Privacy (JS, HA), pp. 935–942.
ICPR-2010-AmanoK #predict #using: Appearance Control Using Projection with Model Predictive Control (TA, HK), pp. 2832–2835.
ICPR-2010-KaferHWKR #predict #recognition: Recognition and Prediction of Situations in Urban Traffic Scenarios (EK, CH, CW, FK, HJR), pp. 4234–4237.
ICPR-2010-KryszczukHS #orthogonal #predict #using: Direct Printability Prediction in VLSI Using Features from Orthogonal Transforms (KK, PH, RS), pp. 2764–2767.
ICPR-2010-SakarKSG #clustering #feature model #predict: Prediction of Protein Sub-nuclear Location by Clustering mRMR Ensemble Feature Selection (COS, OK, HS, FG), pp. 2572–2575.
ICPR-2010-ScharfenbergerCF #artificial reality #predict #using: Driver Body-Height Prediction for an Ergonomically Optimized Ingress Using a Single Omnidirectional Camera (CS, SC, GF), pp. 298–301.
ICPR-2010-SuS #predict #process: Latent Fingerprint Core Point Prediction Based on Gaussian Processes (CS, SNS), pp. 1634–1637.
ICPR-2010-TsaiHTC #detection #pipes and filters #predict #scalability #using: Learning-Based Vehicle Detection Using Up-Scaling Schemes and Predictive Frame Pipeline Structures (YMT, KYH, CCT, LGC), pp. 3101–3104.
ICPR-2010-UyarBCB #development #network #predict: Bayesian Networks for Predicting IVF Blastocyst Development (AU, ABB, HNC, MB), pp. 2772–2775.
ICPR-2010-WuBT #image #predict: The Good, the Bad, and the Ugly: Predicting Aesthetic Image Labels (YW, CB, CT), pp. 1586–1589.
KDD-2010-BozorgiSSV #heuristic #learning #predict: Beyond heuristics: learning to classify vulnerabilities and predict exploits (MB, LKS, SS, GMV), pp. 105–114.
KDD-2010-JahrerTL #predict #recommendation: Combining predictions for accurate recommender systems (MJ, AT, RAL), pp. 693–702.
KDD-2010-KhoslaCLCHL #approach #machine learning #predict: An integrated machine learning approach to stroke prediction (AK, YC, CCYL, HKC, JH, HL), pp. 183–192.
KDD-2010-KumarGM #data mining #fault #health #mining #predict: Data mining to predict and prevent errors in health insurance claims processing (MK, RG, ZSM), pp. 65–74.
KDD-2010-LeroyCB #predict: Cold start link prediction (VL, BBC, FB), pp. 393–402.
KDD-2010-LichtenwalterLC #predict: New perspectives and methods in link prediction (RL, JTL, NVC), pp. 243–252.
KDD-2010-YangO #feature model #predict #probability #using: Feature selection for support vector regression using probabilistic prediction (JBY, CJO), pp. 343–352.
KDD-2010-YinXHD #personalisation #predict #probability: A probabilistic model for personalized tag prediction (DY, ZX, LH, BDD), pp. 959–968.
KDIR-2010-BonninBB #detection #modelling #parallel #predict #web: Detecting Parallel Browsing to Improve Web Predictive Modeling (GB, AB, AB), pp. 504–509.
KDIR-2010-Ghosh #locality #mining #modelling #multi #predict #scalability #using: Actionable Mining of Large, Multi-relational Data using Localized Predictive Models (JG), pp. 9–10.
KDIR-2010-JunGRO #image #predict #process: Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes (GJ, JG, VR, ZO), pp. 370–375.
KEOD-2010-KambhampatiSP #metric #predict: Dysphonia Measures in Parkinson’s Disease and Their use in Prediction of Its Progression (CK, MS, NP), pp. 104–109.
KR-2010-GebserGISSTV #biology #consistency #network #nondeterminism #predict #programming #scalability #set: Repair and Prediction (under Inconsistency) in Large Biological Networks with Answer Set Programming (MG, CG, MI, TS, AS, ST, PV).
RecSys-2010-Baeza-Yates #predict #query #recommendation: Query intent prediction and recommendation (RABY), pp. 5–6.
RecSys-2010-BenchettaraKR #approach #collaboration #machine learning #predict #recommendation: A supervised machine learning link prediction approach for academic collaboration recommendation (NB, RK, CR), pp. 253–256.
RecSys-2010-DesarkarSM #collaboration #graph #predict #rating: Aggregating preference graphs for collaborative rating prediction (MSD, SS, PM), pp. 21–28.
RecSys-2010-MayerMSJ #predict #social: Common attributes in an unusual context: predicting the desirability of a social match (JMM, SM, RPS, QJ), pp. 337–340.
RecSys-2010-SymeonidisTM #network #predict #similarity #social #transitive: Transitive node similarity for link prediction in social networks with positive and negative links (PS, ET, YM), pp. 183–190.
SEKE-2010-PaikariRR #case study #comparative #fault #predict #reasoning #using: A Comparative Study of Attribute Weighting Techniques for Software Defect Prediction Using Case-based Reasoning (EP, MMR, GR), pp. 380–386.
SEKE-2010-Radlinski #development #predict #quality #using: Software Development Effort and Quality Prediction Using Bayesian Nets and small Local Qualitative Data (LR), pp. 113–116.
SEKE-2010-WilliamsGRW #health #predict: Predicting Project Health Prior to Inception (RW, JG, KR, MW), pp. 640–644.
SIGIR-2010-ArapakisAJ #comparison #modelling #personalisation #predict #topic: A comparison of general vs personalised affective models for the prediction of topical relevance (IA, KA, JMJ), pp. 371–378.
SIGIR-2010-BalasubramanianKC10a #performance #predict #query #web: Predicting query performance on the web (NB, GK, VRC), pp. 785–786.
SIGIR-2010-ChenYLZQ #classification #personalisation #predict #query #question: Predicting query potential for personalization, classification or regression? (CC, MY, SL, TZ, HQ), pp. 725–726.
SIGIR-2010-ClementsSVR #behaviour #predict #using: Using flickr geotags to predict user travel behaviour (MC, PS, APdV, MJTR), pp. 851–852.
SIGIR-2010-FeildAJ #predict: Predicting searcher frustration (HAF, JA, RJ), pp. 34–41.
SIGIR-2010-HauffJKA #predict #quality #query: Query quality: user ratings and system predictions (CH, FdJ, DK, LA), pp. 743–744.
SIGIR-2010-LiuYHA #adaptation #analysis #performance #predict #sentiment: S-PLASA+: adaptive sentiment analysis with application to sales performance prediction (YL, XY, XH, AA), pp. 873–874.
SIGIR-2010-ShahP #community #predict #quality: Evaluating and predicting answer quality in community QA (CS, JP), pp. 411–418.
SIGIR-2010-ShtokKC #modelling #predict #statistics #using: Using statistical decision theory and relevance models for query-performance prediction (AS, OK, DC), pp. 259–266.
SIGIR-2010-WhiteH10a #predict #query #web: Predicting escalations of medical queries based on web page structure and content (RWW, EH), pp. 769–770.
SAC-2010-FurukawaOMI #behaviour #predict #social: Prediction of social bookmarking based on a behavior transition model (TF, SO, YM, MI), pp. 1741–1747.
SAC-2010-KimKMY #multi #network #predict #probability #using: Probabilistic context prediction using time-inferred multiple pattern networks (YHK, WK, KM, YY), pp. 1015–1019.
SAC-2010-MatosBM #network #predict #towards: Towards in-network data prediction in wireless sensor networks (TBM, AB, JEBM), pp. 592–596.
SAC-2010-NinagawaE #modelling #network #predict #probability #using: Link prediction using probabilistic group models of network structure (AN, KE), pp. 1115–1116.
SAC-2010-OssaPSG #algorithm #graph #low cost #predict #web: Referrer graph: a low-cost web prediction algorithm (BdlO, AP, JS, JAG), pp. 831–838.
ICSE-2010-Cruz #case study #fault #metric #predict #uml: Exploratory study of a UML metric for fault prediction (AECC), pp. 361–364.
ICSE-2010-GuoZNM #debugging #empirical #predict: Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows (PJG, TZ, NN, BM), pp. 495–504.
ICSE-2010-KlasEMHG #case study #fault #industrial #metric #predict: Transparent combination of expert and measurement data for defect prediction: an industrial case study (MK, FE, JM, KH, OvG), pp. 119–128.
ICSE-2010-Schroter10a #developer #interactive #predict: Predicting build outcome with developer interaction in Jazz (AS), pp. 511–512.
ICSE-2010-ZhengL #collaboration #predict #reliability: Collaborative reliability prediction of service-oriented systems (ZZ, MRL), pp. 35–44.
CGO-2010-JiangZTMGSG #behaviour #correlation #predict #statistics: Exploiting statistical correlations for proactive prediction of program behaviors (YJ, EZZ, KT, FM, MG, XS, YG), pp. 248–256.
HPCA-2010-FarooqCJ #predict: Value Based BTB Indexing for indirect jump prediction (MUF, LC, LKJ), pp. 1–11.
HPDC-2010-YuanYWZ #named #parallel #predict #scheduling #strict: PV-EASY: a strict fairness guaranteed and prediction enabled scheduler in parallel job scheduling (YY, GY, YW, WZ), pp. 240–251.
ISMM-2010-TianFG #parallel #predict #using: Speculative parallelization using state separation and multiple value prediction (CT, MF, RG), pp. 63–72.
PPoPP-2010-AleenSP #execution #predict #streaming: Input-driven dynamic execution prediction of streaming applications (FA, MS, SP), pp. 315–324.
PPoPP-2010-ZhaiCZ #named #parallel #performance #predict #scalability #using: PHANTOM: predicting performance of parallel applications on large-scale parallel machines using a single node (JZ, WC, WZ), pp. 305–314.
ICST-2010-ZimmermannNW #predict #security: Searching for a Needle in a Haystack: Predicting Security Vulnerabilities for Windows Vista (TZ, NN, LAW), pp. 421–428.
ISSTA-2010-ArcuriIB #analysis #effectiveness #formal method #predict #random testing #testing: Formal analysis of the effectiveness and predictability of random testing (AA, MZZI, LCB), pp. 219–230.
ISSTA-2010-OstrandW #fault #predict: Software fault prediction tool (TJO, EJW), pp. 275–278.
CBSE-2009-HauckKKR #component #execution #modelling #performance #predict: Modelling Layered Component Execution Environments for Performance Prediction (MH, MK, KK, RHR), pp. 191–208.
QoSA-2009-ChanP #architecture #behaviour #composition #predict #process: Compositional Prediction of Timed Behaviour for Process Control Architecture (KC, IP), pp. 86–100.
QoSA-2009-GhezziT #performance #predict: Predicting Performance Properties for Open Systems with KAMI (CG, GT), pp. 70–85.
QoSA-2009-KrogmannSBKMM #architecture #feedback #performance #predict #using #visualisation: Improved Feedback for Architectural Performance Prediction Using Software Cartography Visualizations (KK, CMS, SB, MK, AM, FM), pp. 52–69.
ASE-2009-MunkbyS #fault tolerance #predict #type inference: Type Inference for Soft-Error Fault-Tolerance Prediction (GM, SS), pp. 65–75.
ASE-2009-ShivajiWAK #debugging #predict: Reducing Features to Improve Bug Prediction (SS, EJWJ, RA, SK), pp. 600–604.
CASE-2009-ChengP #predict: A fusion prognostics method for remaining useful life prediction of electronic products (SC, MGP), pp. 102–107.
CASE-2009-KumarWKSS #analysis #fuzzy #predict #using #variability: A fuzzy filtering based system for maximal oxygen uptake prediction using heart rate variability analysis (MK, MW, SK, NS, RS), pp. 604–608.
DAC-2009-DrmanacLW #predict #process #variability: Predicting variability in nanoscale lithography processes (DGD, FL, LCW), pp. 545–550.
DATE-2009-BellasiFS #analysis #modelling #multi #power management #predict: Predictive models for multimedia applications power consumption based on use-case and OS level analysis (PB, WF, DS), pp. 1446–1451.
DATE-2009-HanssonSG #composition #named #network #predict: Aelite: A flit-synchronous Network on Chip with composable and predictable services (AH, MS, KG), pp. 250–255.
DATE-2009-ShafiqueBH #approach #design #hardware #parallel #performance #predict #video: A parallel approach for high performance hardware design of intra prediction in H.264/AVC Video Codec (MS, LB, JH), pp. 1434–1439.
HT-2009-Choudhury #modelling #online #predict #process #social #social media: Modeling and predicting group activity over time in online social media (MDC), pp. 349–350.
ICDAR-2009-FairhurstA #predict #profiling: An Investigation of Predictive Profiling from Handwritten Signature Data (MCF, MCDCA), pp. 1305–1309.
VLDB-2009-CandeaPV #concurrent #predict #scalability: A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses (GC, NP, RV), pp. 277–288.
VLDB-2009-UnterbrunnerGAFK #performance #predict: Predictable Performance for Unpredictable Workloads (PU, GG, GA, DF, DK), pp. 706–717.
VLDB-2009-ZhangCJOZ #effectiveness #nondeterminism #predict #query: Effectively Indexing Uncertain Moving Objects for Predictive Queries (MZ, SC, CSJ, BCO, ZZ), pp. 1198–1209.
TACAS-2009-FarzanM #complexity #predict: The Complexity of Predicting Atomicity Violations (AF, PM), pp. 155–169.
CSMR-2009-ElishE #case study #comparative #maintenance #object-oriented #predict: Application of TreeNet in Predicting Object-Oriented Software Maintainability: A Comparative Study (MOE, KOE), pp. 69–78.
CSMR-2009-MendeKL #evolution #fault #modelling #predict #scalability: Evaluating Defect Prediction Models for a Large Evolving Software System (TM, RK, ML), pp. 247–250.
ICSM-2009-AnbalaganV #debugging #on the #open source #predict: On predicting the time taken to correct bug reports in open source projects (PA, MAV), pp. 523–526.
ICSM-2009-JiaSYL #data transformation #difference #predict #question #set: Data transformation and attribute subset selection: Do they help make differences in software failure prediction? (HJ, FS, YY, QL), pp. 519–522.
ICSM-2009-WongC #impact analysis #logic #modelling #predict: Predicting change impact from logical models (SW, YC), pp. 467–470.
ICSM-2009-Zimmermann #debugging #development #mining #predict #process: Changes and bugs — Mining and predicting development activities (TZ), pp. 443–446.
MSR-2009-EkanayakeTGB #concept #fault #predict #quality #using: Tracking concept drift of software projects using defect prediction quality (JE, JT, HCG, AB), pp. 51–60.
MSR-2009-ShinBOW #fault #predict #question: Does calling structure information improve the accuracy of fault prediction? (YS, RMB, TJO, EJW), pp. 61–70.
LATA-2009-NakamuraHT #predict: Prediction of Creole Emergence in Spatial Language Dynamics (MN, TH, ST), pp. 614–625.
FM-2009-WangKGG #analysis #concurrent #predict #source code: Symbolic Predictive Analysis for Concurrent Programs (CW, SK, MKG, AG), pp. 256–272.
CHI-2009-BuscherCM #eye tracking #predict #using #web #what: What do you see when you’re surfing?: using eye tracking to predict salient regions of web pages (GB, EC, MRM), pp. 21–30.
CHI-2009-DunlopT #feedback #predict: Tactile feedback for predictive text entry (MDD, FT), pp. 2257–2260.
CHI-2009-GilbertK #predict #social #social media: Predicting tie strength with social media (EG, KK), pp. 211–220.
CHI-2009-LoveJTH #assessment #learning #predict: Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool (BCL, MJ, MTT, MH), pp. 1351–1360.
DHM-2009-AmantiniC #behaviour #fault #predict #simulation: A Simple Simulation Predicting Driver Behavior, Attitudes and Errors (AA, PCC), pp. 345–354.
DHM-2009-FuLYB #predict: Simulation-Based Discomfort Prediction of the Lower Limb Handicapped with Prosthesis in the Climbing Tasks (YF, SL, MY, YB), pp. 512–520.
HCD-2009-Stephane #analysis #behaviour #predict #simulation: User Behavior Patterns: Gathering, Analysis, Simulation and Prediction (LS), pp. 322–331.
HCI-NIMT-2009-SadP #modelling #predict #word: Modeling Word Selection in Predictive Text Entry (HHS, FP), pp. 725–734.
HCI-NT-2009-JohnS #modelling #predict #towards #usability: Toward Cognitive Modeling for Predicting Usability (BEJ, SS), pp. 267–276.
HIMI-II-2009-AyodeleZK #approach #email #machine learning #predict: Email Reply Prediction: A Machine Learning Approach (TA, SZ, RK), pp. 114–123.
ICEIS-J-2009-NachevHS #fuzzy #network #predict #using: Insolvency Prediction of Irish Companies Using Backpropagation and Fuzzy ARTMAP Neural Networks (AN, SH, BS), pp. 287–298.
ICEIS-J-2009-PapatheocharousA #classification #fuzzy #predict: Classification and Prediction of Software Cost through Fuzzy Decision Trees (EP, ASA), pp. 234–247.
CIKM-2009-HungP #clustering #network #predict: Clustering object moving patterns for prediction-based object tracking sensor networks (CCH, WCP), pp. 1633–1636.
CIKM-2009-LiBS #analysis #predict: Blog cascade affinity: analysis and prediction (HL, SSB, AS), pp. 1117–1126.
CIKM-2009-MabroukehE #mining #ontology #predict #semantics #using #web: Using domain ontology for semantic web usage mining and next page prediction (NRM, CIE), pp. 1677–1680.
CIKM-2009-MaHR #framework #incremental #mobile #named #predict: iLoc: a framework for incremental location-state acquisition and prediction based on mobile sensors (YM, RH, DR), pp. 1367–1376.
CIKM-2009-SunLL #case study #category theory #classification #performance #predict #what: What makes categories difficult to classify?: a study on predicting classification performance for categories (AS, EPL, YL), pp. 1891–1894.
CIKM-2009-TsagkiasWR #online #predict: Predicting the volume of comments on online news stories (MT, WW, MdR), pp. 1765–1768.
CIKM-2009-WhiteD #behaviour #predict: Characterizing and predicting search engine switching behavior (RWW, STD), pp. 87–96.
CIKM-2009-WuB #predict #probability: Predicting the conversion probability for items on C2C ecommerce sites (XW, AB), pp. 1377–1386.
ECIR-2009-HauffAH #evaluation #performance #predict #query: The Combination and Evaluation of Query Performance Prediction Methods (CH, LA, DH), pp. 301–312.
ECIR-2009-MoshfeghiAPJ #collaboration #predict #rating #recommendation #semantics: Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering (YM, DA, BP, JMJ), pp. 54–65.
ECIR-2009-TsagkiasLR #predict: Exploiting Surface Features for the Prediction of Podcast Preference (MT, ML, MdR), pp. 473–484.
ICML-2009-BoulariasC #policy #predict: Predictive representations for policy gradient in POMDPs (AB, BCd), pp. 65–72.
ICML-2009-Daume #predict #search-based: Unsupervised search-based structured prediction (HDI), pp. 209–216.
ICML-2009-GarnettOR #predict: Sequential Bayesian prediction in the presence of changepoints (RG, MAO, SJR), pp. 345–352.
ICML-2009-JetchevT #learning #predict: Trajectory prediction: learning to map situations to robot trajectories (NJ, MT), pp. 449–456.
ICML-2009-KarampatziakisK #learning #predict: Learning prediction suffix trees with Winnow (NK, DK), pp. 489–496.
ICML-2009-KunegisL #graph transformation #learning #predict: Learning spectral graph transformations for link prediction (JK, AL), pp. 561–568.
ICML-2009-Makino #network #predict #representation: Proto-predictive representation of states with simple recurrent temporal-difference networks (TM), pp. 697–704.
ICML-2009-Smith #natural language #predict #summary #tutorial: Tutorial summary: Structured prediction for natural language processing (NAS), p. 20.
ICML-2009-XuWS #learning #predict: Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning (LX, MW, DS), pp. 1137–1144.
ICML-2009-YuLZG #collaboration #parametricity #predict #random #scalability #using: Large-scale collaborative prediction using a nonparametric random effects model (KY, JDL, SZ, YG), pp. 1185–1192.
KDD-2009-AttenbergPS #behaviour #modelling #predict: Modeling and predicting user behavior in sponsored search (JA, SP, TS), pp. 1067–1076.
KDD-2009-DeodharG #mining #predict: Mining for the most certain predictions from dyadic data (MD, JG), pp. 249–258.
KDD-2009-SculleyMBB #predict: Predicting bounce rates in sponsored search advertisements (DS, RGM, SB, RJB), pp. 1325–1334.
MLDM-2009-DashevskiyL #predict: Predictions with Confidence in Applications (MD, ZL), pp. 775–786.
MLDM-2009-NikovskiR #modelling #predict: Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series (DN, GR), pp. 734–748.
RecSys-2009-CamposFHR #collaboration #predict: Measuring predictive capability in collaborative filtering (LMdC, JMFL, JFH, MARM), pp. 313–316.
RecSys-2009-GivonL #predict #recommendation: Predicting social-tags for cold start book recommendations (SG, VL), pp. 333–336.
RecSys-2009-MarlinZ #collaboration #predict #ranking: Collaborative prediction and ranking with non-random missing data (BMM, RSZ), pp. 5–12.
SEKE-2009-KocaguneliTBTC #analysis #fault #metric #named #predict: Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool (EK, AT, ABB, BT, BC), pp. 637–642.
SEKE-2009-LounisAS #approach #impact analysis #maintenance #predict: Predicting Maintainability expressed as Change Impact: A Machine-learning-based Approach (HL, MKA, HAS), pp. 122–128.
SEKE-2009-XuZW #network #predict: Long-term Prediction of Wireless Network Traffic (ZX, ZZ, WW), pp. 473–479.
SIGIR-2009-ArapakisKJK #modelling #predict #topic: Modeling facial expressions and peripheral physiological signals to predict topical relevance (IA, IK, JMJ, IK), pp. 728–729.
SIGIR-2009-Collins-ThompsonB #performance #predict #query #using: Estimating query performance using class predictions (KCT, PNB), pp. 672–673.
SIGIR-2009-DiazA #adaptation #feedback #predict: Adaptation of offline vertical selection predictions in the presence of user feedback (FD, JA), pp. 323–330.
SIGIR-2009-GuoA #interactive #predict #segmentation: Beyond session segmentation: predicting changes in search intent with client-side user interactions (QG, EA), pp. 636–637.
SIGIR-2009-HauffA #effectiveness #performance #predict #query #question: When is query performance prediction effective? (CH, LA), pp. 829–830.
SIGIR-2009-KonigGW #predict #query: Click-through prediction for news queries (ACK, MG, QW), pp. 347–354.
SIGIR-2009-ScholerG #evaluation #predict #query: A case for improved evaluation of query difficulty prediction (FS, SG), pp. 640–641.
SIGIR-2009-TomsF #analysis #behaviour #predict: Predicting stopping behaviour: a preliminary analysis (EGT, LF), pp. 750–751.
SIGIR-2009-WangLF #automation #fuzzy #predict #using: Automatic URL completion and prediction using fuzzy type-ahead search (JW, GL, JF), pp. 634–635.
SIGIR-2009-WhiteBC #information management #predict: Predicting user interests from contextual information (RWW, PB, LC), pp. 363–370.
SAC-2009-ChunLSC #multi #predict #using #video: An enhanced multi-view video compression using the constrained inter-view prediction (SC, SL, KS, KC), pp. 1811–1815.
SAC-2009-ConceicaoMC #mobile #modelling #predict: A nonlinear mobile robot modeling applied to a model predictive controller (ASC, APM, JPC), pp. 1186–1187.
SAC-2009-KangGC #predict #scalability: A new inter-layer prediction scheme for spatial scalability with different frame rates (JK, GG, KC), pp. 1779–1783.
SAC-2009-MathuriyaBHH #manycore #named #predict #scalability: GTfold: a scalable multicore code for RNA secondary structure prediction (AM, DAB, CEH, SCH), pp. 981–988.
SAC-2009-RossTA #data type #online #predict: Online annotation and prediction for regime switching data streams (GJR, DKT, NMA), pp. 1501–1505.
SAC-2009-TanakaKTN #navigation #predict #using: A destination prediction method using driving contexts and trajectory for car navigation systems (KT, YK, TT, SN), pp. 190–195.
SAC-2009-Xie #predict: Improved AdaBoost.M1 of decision trees with confidence-rated predictions (ZX), pp. 1462–1466.
SAC-2009-XuLQ #predict #privacy: Privacy preserving churn prediction (SX, SL, MQ), pp. 1610–1614.
ESEC-FSE-2009-ZimmermannNGGM #empirical #fault #predict #process #scalability: Cross-project defect prediction: a large scale experiment on data vs. domain vs. process (TZ, NN, HG, EG, BM), pp. 91–100.
ICSE-2009-Hassan #complexity #fault #predict #using: Predicting faults using the complexity of code changes (AEH), pp. 78–88.
ICSE-2009-WolfSDN #analysis #communication #developer #network #predict #social #using: Predicting build failures using social network analysis on developer communication (TW, AS, DD, THDN), pp. 1–11.
ASPLOS-2009-DimitrovZ #approach #automation #debugging #predict #validation: Anomaly-based bug prediction, isolation, and validation: an automated approach for software debugging (MD, HZ), pp. 61–72.
ASPLOS-2009-WegielK #predict: Dynamic prediction of collection yield for managed runtimes (MW, CK), pp. 289–300.
CC-2009-GaoLXN #concurrent #predict #recursion #source code #thread: Exploiting Speculative TLP in Recursive Programs by Dynamic Thread Prediction (LG, LL, JX, TFN), pp. 78–93.
CGO-2009-MaoS #evolution #learning #predict #virtual machine: Cross-Input Learning and Discriminative Prediction in Evolvable Virtual Machines (FM, XS), pp. 92–101.
HPCA-2009-DuanLP #architecture #estimation #metric #performance #predict: Versatile prediction and fast estimation of Architectural Vulnerability Factor from processor performance metrics (LD, BL, LP), pp. 129–140.
HPCA-2009-MatsutaniKAY #architecture #latency #predict: Prediction router: Yet another low latency on-chip router architecture (HM, MK, HA, TY), pp. 367–378.
HPCA-2009-ReddiGHWSB #predict #using: Voltage emergency prediction: Using signatures to reduce operating margins (VJR, MSG, GHH, GYW, MDS, DMB), pp. 18–29.
HPDC-2009-GlasnerV #adaptation #predict #runtime: Adaptive run-time prediction in heterogeneous environments (CG, JV), pp. 61–62.
HPDC-2009-LiSDZ #parallel #performance #predict: Performance prediction based on hierarchy parallel features captured in multi-processing system (JL, FS, ND, QZ), pp. 63–64.
HPDC-2009-SonmezYIE #evaluation #predict #queue #runtime: Trace-based evaluation of job runtime and queue wait time predictions in grids (OOS, NY, AI, DHJE), pp. 111–120.
CAV-2009-Benini #manycore #performance #predict #question: Predictability vs. Efficiency in the Multicore Era: Fight of Titans or Happy Ever after? (LB), p. 50.
CAV-2009-CosteHLS #composition #design #industrial #modelling #performance #predict #towards: Towards Performance Prediction of Compositional Models in Industrial GALS Designs (NC, HH, EL, WS), pp. 204–218.
ICST-2009-GegickRW #component #predict: Predicting Attack-prone Components (MG, PR, LAW), pp. 181–190.
ICST-2009-WedyanAB #automation #detection #effectiveness #fault #predict #refactoring #static analysis #tool support: The Effectiveness of Automated Static Analysis Tools for Fault Detection and Refactoring Prediction (FW, DA, JMB), pp. 141–150.
CBSE-2008-KuperbergKR #behaviour #black box #component #modelling #parametricity #performance #predict #using: Performance Prediction for Black-Box Components Using Reengineered Parametric Behaviour Models (MK, KK, RHR), pp. 48–63.
CBSE-2008-MartensBKR #component #empirical #modelling #performance #predict #reuse: An Empirical Investigation of the Effort of Creating Reusable, Component-Based Models for Performance Prediction (AM, SB, HK, RHR), pp. 16–31.
QoSA-2008-GallottiGMT #composition #model checking #predict #probability #quality: Quality Prediction of Service Compositions through Probabilistic Model Checking (SG, CG, RM, GT), pp. 119–134.
ASE-2008-DanielB #automation #effectiveness #predict #testing #tool support: Predicting Effectiveness of Automatic Testing Tools (BD, MB), pp. 363–366.
ASE-2008-Jones #development #predict #source code: Reflections on, and Predictions for, Support Systems for the Development of Programs (CBJ), pp. 7–8.
ASE-2008-JoshiS #java #parallel #predict #source code #thread #type system: Predictive Typestate Checking of Multithreaded Java Programs (PJ, KS), pp. 288–296.
ASE-2008-SentillesPCH #component #development #embedded #ide #named #predict: Save-IDE: An Integrated Development Environment for Building Predictable Component-Based Embedded Systems (SS, PP, IC, JH), pp. 493–494.
CASE-2008-QianZ #pipes and filters #predict #process: Optimal model predictive control of plasma pipe welding process (KQ, YZ), pp. 492–497.
DAC-2008-BastaniKWC #learning #predict #set: Speedpath prediction based on learning from a small set of examples (PB, KK, LCW, EC), pp. 217–222.
DAC-2008-ChenLC #predict: Predictive formulae for OPC with applications to lithography-friendly routing (TCC, GWL, YWC), pp. 510–515.
DAC-2008-ChoYBP #named #performance #predict: ELIAD: efficient lithography aware detailed router with compact post-OPC printability prediction (MC, KY, YB, DZP), pp. 504–509.
DAC-2008-CookS #design #predict #using: Predictive design space exploration using genetically programmed response surfaces (HC, KS), pp. 960–965.
DAC-2008-SenOA #multi #predict #runtime #verification: Predictive runtime verification of multi-processor SoCs in SystemC (AS, VO, MSA), pp. 948–953.
DAC-2008-SuhendraM #clustering #multi #predict: Exploring locking & partitioning for predictable shared caches on multi-cores (VS, TM), pp. 300–303.
DAC-2008-YeoLK #manycore #predict: Predictive dynamic thermal management for multicore systems (IY, CCL, EJK), pp. 734–739.
DATE-2008-CertnerLPTAD #approach #parallel #performance #predict #source code: A Practical Approach for Reconciling High and Predictable Performance in Non-Regular Parallel Programs (OC, ZL, PP, OT, FA, ND), pp. 740–745.
DATE-2008-ClothH #design #embedded #evaluation #mobile #predict: Quantitative Evaluation in Embedded System Design: Predicting Battery Lifetime in Mobile Devices (LC, BRH), pp. 90–91.
HT-2008-ChoudhurySJS #communication #predict #social #using: Dynamic prediction of communication flow using social context (MDC, HS, AJ, DDS), pp. 49–54.
CSMR-2008-KenmeiAP #analysis #open source #predict #scalability: Trend Analysis and Issue Prediction in Large-Scale Open Source Systems (BK, GA, MDP), pp. 73–82.
CSMR-2008-LagerstromJ #architecture #enterprise #maintenance #modelling #predict #using: Using Architectural Models to Predict the Maintainability of Enterprise Systems (RL, PJ), pp. 248–252.
MSR-2008-RatzingerSG #fault #on the #predict #refactoring: On the relation of refactorings and software defect prediction (JR, TS, HCG), pp. 35–38.
WCRE-2008-ZhouWGGL #approach #network #predict: A Bayesian Network Based Approach for Change Coupling Prediction (YZ, MW, EG, HG, JL), pp. 27–36.
CHI-2008-GajosETCW #adaptation #predict #user interface: Predictability and accuracy in adaptive user interfaces (KZG, KE, DST, MC, DSW), pp. 1271–1274.
CHI-2008-KapoorH #case study #comparative #experience #modelling #predict: Experience sampling for building predictive user models: a comparative study (AK, EH), pp. 657–666.
CHI-2008-OganAJ #learning #predict: Pause, predict, and ponder: use of narrative videos to improve cultural discussion and learning (AO, VA, CJ), pp. 155–162.
CHI-2008-RatwaniMT #eye tracking #fault #predict #using: Predicting postcompletion errors using eye movements (RMR, JMM, JGT), pp. 539–542.
ICEIS-DISI-2008-PapatheocharousA #modelling #predict: Size and Effort-Based Computational Models for Software Cost Prediction (EP, ASA), pp. 57–64.
ICEIS-ISAS2-2008-CabreroGP #predict: Combining Different Change Prediction Techniques (DCM, JG, MP), pp. 57–63.
ICEIS-J-2008-PapatheocharousA08a #algorithm #approach #hybrid #modelling #network #predict #search-based #using: Hybrid Computational Models for Software Cost Prediction: An Approach Using Artificial Neural Networks and Genetic Algorithms (EP, ASA), pp. 87–100.
CIKM-2008-DavisCBCB #predict: Predicting individual disease risk based on medical history (DAD, NVC, NB, NAC, ALB), pp. 769–778.
CIKM-2008-HauffMB #predict #query #web: Improved query difficulty prediction for the web (CH, VM, RABY), pp. 439–448.
CIKM-2008-HsuC #predict #social: A method to predict social annotations (MHH, HHC), pp. 1375–1376.
CIKM-2008-MahouiTSC #identification #modelling #predict #using: Identification of gene function using prediction by partial matching (PPM) language models (MM, WJT, AKTS, SC), pp. 779–786.
CIKM-2008-WebbCP #predict #web: Predicting web spam with HTTP session information (SW, JC, CP), pp. 339–348.
CIKM-2008-ZhaoBZY #community #network #predict: Characterizing and predicting community members from evolutionary and heterogeneous networks (QZ, SSB, XZ, KY), pp. 309–318.
ECIR-2008-HeLR #metric #predict #query #using: Using Coherence-Based Measures to Predict Query Difficulty (JH, ML, MdR), pp. 689–694.
ECIR-2008-ZhaoST #effectiveness #performance #predict #query #similarity #using #variability: Effective Pre-retrieval Query Performance Prediction Using Similarity and Variability Evidence (YZ, FS, YT), pp. 52–64.
ICML-2008-AllauzenMT #kernel #predict #sequence: Sequence kernels for predicting protein essentiality (CA, MM, AT), pp. 9–16.
ICML-2008-KakadeST #algorithm #multi #online #performance #predict: Efficient bandit algorithms for online multiclass prediction (SMK, SSS, AT), pp. 440–447.
ICML-2008-VovkZ #game studies #predict: Prediction with expert advice for the Brier game (VV, FZ), pp. 1104–1111.
ICML-2008-WingateS #exponential #learning #predict #product line: Efficiently learning linear-linear exponential family predictive representations of state (DW, SPS), pp. 1176–1183.
ICML-2008-YueJ #predict #set #using: Predicting diverse subsets using structural SVMs (YY, TJ), pp. 1224–1231.
ICPR-2008-LiCS #kernel #optimisation #predict #video: An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking (ZL, JC, NNS), pp. 1–4.
ICPR-2008-ScrippsTCE #approach #matrix #predict: A matrix alignment approach for link prediction (JS, PNT, FC, AHE), pp. 1–4.
ICPR-2008-SuAL #predict #realtime #robust: Robust real-time face alignment based on ASM with boosting regression for displacement prediction (YS, HA, SL), pp. 1–4.
KDD-2008-LaxmanTW #generative #modelling #predict #sequence #using: Stream prediction using a generative model based on frequent episodes in event sequences (SL, VT, RWW), pp. 453–461.
KDD-2008-MeloAL #behaviour #metric #network #predict #question: Can complex network metrics predict the behavior of NBA teams? (POSVdM, VAFA, AAFL), pp. 695–703.
KDD-2008-ZengMLBM #analysis #predict #using: Using predictive analysis to improve invoice-to-cash collection (SZ, PM, CAL, IMBM, CM), pp. 1043–1050.
RecSys-2008-DingZYZFB #collaboration #fault #predict #statistics: Boosting collaborative filtering based on statistical prediction errors (SD, SZ, QY, XZ, RF, LDB), pp. 3–10.
RecSys-2008-KrishnanNNDK #online #predict #recommendation: Who predicts better?: results from an online study comparing humans and an online recommender system (VK, PKN, MN, RTD, JAK), pp. 211–218.
RecSys-2008-Umyarov #performance #predict #recommendation: Leveraging aggregate ratings for improving predictive performance of recommender systems (AU), pp. 327–330.
SEKE-2008-BadriBS #approach #co-evolution #object-oriented #predict: Predicting Change Propagation in Object-oriented Systems: a Control-call Path Based Approach and Associated Tool (LB, MB, DSY), pp. 103–110.
SEKE-2008-Barros #information management #predict #using: Predicting Software Project Size Using Project Generated Information (MdOB), pp. 149–154.
SEKE-2008-DaiYZG #approach #composition #predict #self #web #web service: Failure Prediction Based Self-healing Approach for Web Service Composition (YD, LY, BZ, KG), pp. 853–856.
SEKE-2008-TurhanB #fault #predict: Weighted Static Code Attributes for Software Defect Prediction (BT, ABB), pp. 143–148.
SEKE-2008-XuSW #adaptation #fault #network #predict: An Adaptive Neural Network with Dynamic Structure for Software Defect Prediction (ZX, NS, WW), pp. 79–84.
SEKE-2008-YangDZ #performance #predict #reliability: Reliability Oriented QoS Driven Composite Service Selection Based on Performance Prediction (LY, YD, BZ), pp. 215–218.
SIGIR-2008-Al-MaskariSCA #effectiveness #predict #question: The good and the bad system: does the test collection predict users’ effectiveness? (AAM, MS, PDC, EA), pp. 59–66.
SIGIR-2008-DupretP #predict: A user browsing model to predict search engine click data from past observations (GD, BP), pp. 331–338.
SIGIR-2008-HeymannRG #predict #social: Social tag prediction (PH, DR, HGM), pp. 531–538.
SIGIR-2008-LiLRGA #community #predict: Exploring question subjectivity prediction in community QA (BL, YL, AR, EVG, EA), pp. 735–736.
SIGIR-2008-LiuBA #community #predict: Predicting information seeker satisfaction in community question answering (YL, JB, EA), pp. 483–490.
SIGIR-2008-RahurkarC #predict: Predicting when browsing context is relevant to search (MR, SC), pp. 841–842.
RE-2008-HerrmannD #predict #requirements #research: Requirements Prioritization Based on Benefit and Cost Prediction: An Agenda for Future Research (AH, MD), pp. 125–134.
SAC-2008-BloomaCG #framework #predict: A predictive framework for retrieving the best answer (MJB, AYKC, DHLG), pp. 1107–1111.
SAC-2008-DornS #3d #approximate #named #predict: CReF: a central-residue-fragment-based method for predicting approximate 3-D polypeptides structures (MD, ONdS), pp. 1261–1267.
SAC-2008-SouzaOVO #approach #predict #simulation #statistics: A statistical approach for prediction of projects based on simulation (MMdS, HCBdO, AMLdV, SRBO), pp. 23–27.
SAC-2008-WeiYLX #embedded #memory management #predict #realtime: Flash memory management based on predicted data expiry-time in embedded real-time systems (PW, LY, ZL, XX), pp. 1477–1481.
FSE-2008-MeneelyWSO #analysis #developer #network #predict #social: Predicting failures with developer networks and social network analysis (AM, LW, WS, JAO), pp. 13–23.
FSE-2008-PinzgerNM #developer #network #predict #question: Can developer-module networks predict failures? (MP, NN, BM), pp. 2–12.
ICSE-2008-ChenSR #analysis #java #named #predict #runtime: jPredictor: a predictive runtime analysis tool for java (FC, TFS, GR), pp. 221–230.
ICSE-2008-CheungRMG #component #predict #reliability: Early prediction of software component reliability (LC, RR, NM, LG), pp. 111–120.
ICSE-2008-MoserPS #analysis #comparative #fault #metric #performance #predict: A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction (RM, WP, GS), pp. 181–190.
ICSE-2008-RuthruffPMER #approach #predict #static analysis: Predicting accurate and actionable static analysis warnings: an experimental approach (JRR, JP, JDM, SGE, GR), pp. 341–350.
ICSE-2008-ZimmermannN #analysis #dependence #fault #graph #network #predict #using: Predicting defects using network analysis on dependency graphs (TZ, NN), pp. 531–540.
ASPLOS-2008-ChoiPT #branch #predict #thread: Accurate branch prediction for short threads (BC, LP, DMT), pp. 125–134.
CGO-2008-KetterlinC #data access #predict #recognition: Prediction and trace compression of data access addresses through nested loop recognition (AK, PC), pp. 94–103.
CGO-2008-SalverdakZ #predict #random: Accurate critical path prediction via random trace construction (PS, CT, CBZ), pp. 64–73.
HPCA-2008-DiaoS #cpu #predict #process: Prediction of CPU idle-busy activity pattern (QD, JJS), pp. 27–36.
HPCA-2008-GaoMDZ #branch #correlation #locality #novel #predict: Address-branch correlation: A novel locality for long-latency hard-to-predict branches (HG, YM, MD, HZ), pp. 74–85.
HPCA-2008-LeeKMP #predict #using: Performance-aware speculation control using wrong path usefulness prediction (CJL, HK, OM, YNP), pp. 39–49.
HPCA-2008-MalikADF #named #predict: PaCo: Probability-based path confidence prediction (KM, MA, VD, MIF), pp. 50–61.
HPCA-2008-RamosB #named #predict: C-Oracle: Predictive thermal management for data centers (LER, RB), pp. 111–122.
HPCA-2008-SubramaniamPL #dependence #memory management #named #predict #smt: PEEP: Exploiting predictability of memory dependences in SMT processors (SS, MP, GHL), pp. 137–148.
ISMM-2008-BrabermanFGY #memory management #parametricity #predict #requirements: Parametric prediction of heap memory requirements (VAB, FJF, DG, SY), pp. 141–150.
ICLP-2008-Vidal #analysis #effectiveness #partial evaluation #predict: Trace Analysis for Predicting the Effectiveness of Partial Evaluation (GV), pp. 790–794.
ICST-2008-CiupaPLOM #object-oriented #on the #predict #random testing #testing: On the Predictability of Random Tests for Object-Oriented Software (IC, AP, AL, MO, BM), pp. 72–81.
ICST-2008-Vemuri #mobile #predict #testing: Testing Predictive Software in Mobile Devices (VRV), pp. 440–447.
ICST-2008-WareWS #metric #predict: The Use of Intra-Release Product Measures in Predicting Release Readiness (MPW, FGW, MS), pp. 230–237.
TAP-2008-WeyukerO #fault #predict #question #what: What Can Fault Prediction Do for YOU? (EJW, TJO), pp. 18–29.
QoSA-2007-KoziolekBH #architecture #component #performance #predict: Predicting the Performance of Component-Based Software Architectures with Different Usage Profiles (HK, SB, JH), pp. 145–163.
QoSA-2007-MarzollaM #performance #predict #web #web service #workflow: Performance Prediction of Web Service Workflows (MM, RM), pp. 127–144.
QoSA-2007-RoshandelMG #architecture #predict #reliability: A Bayesian Model for Predicting Reliability of Software Systems at the Architectural Level (RR, NM, LG), pp. 108–126.
ASE-2007-Kagdi #fine-grained #mining #predict #source code: Improving change prediction with fine-grained source code mining (HHK), pp. 559–562.
DAC-2007-LiuS #predict #process #scalability #statistics: Confidence Scalable Post-Silicon Statistical Delay Prediction under Process Variations (QL, SSS), pp. 497–502.
DATE-2007-HamersE #predict: Resource prediction for media stream decoding (JH, LE), pp. 594–599.
DATE-2007-NarayanasamyCC #fault #predict: Transient fault prediction based on anomalies in processor events (SN, AKC, BC), pp. 1140–1145.
DATE-2007-SahinH #algorithm #architecture #hardware #interactive #performance #predict: Interactive presentation: An efficient hardware architecture for H.264 intra prediction algorithm (ES, IH), pp. 183–188.
DATE-2007-Srivastava #interactive #predict #scalability: Interactive presentation: Radix 4 SRT division with quotient prediction and operand scaling (NRS), pp. 195–200.
HT-2007-MelguizoOJ #navigation #predict #problem #web: Predicting and solving web navigation problems (MCPM, HvO, IJ), pp. 47–48.
ICDAR-2007-BabaUS #online #predict #recognition: Predictive DP Matching for On-Line Character Recognition (DB, SU, HS), pp. 674–678.
VLDB-2007-NandiJ #effectiveness #predict: Effective Phrase Prediction (AN, HVJ), pp. 219–230.
ITiCSE-2007-CaronnaSMIHT #predict #using: Prediction of modulators of pyruvate kinase in smiles text using aprori methods (JSC, RS, JDM, VLI, KGH, JHT), p. 348.
FASE-2007-RatzingerPG #evolution #fault #named #predict: EQ-Mine: Predicting Short-Term Defects for Software Evolution (JR, MP, HCG), pp. 12–26.
TACAS-2007-KuglerPSH #framework #logic #modelling #predict: “Don’t Care” Modeling: A Logical Framework for Developing Predictive System Models (HK, AP, MJS, EJAH), pp. 343–357.
CSMR-2007-SharafatT #approach #object-oriented #predict #probability: A Probabilistic Approach to Predict Changes in Object-Oriented Software Systems (ARS, LT), pp. 27–38.
ICPC-2007-MirarabHT #co-evolution #network #predict #using: Using Bayesian Belief Networks to Predict Change Propagation in Software Systems (SM, AH, LT), pp. 177–188.
ICPC-2007-Vivanco #algorithm #complexity #identification #metric #modelling #predict #search-based #source code: Use of a Genetic Algorithm to Identify Source Code Metrics Which Improves Cognitive Complexity Predictive Models (RAV), pp. 297–300.
ICSM-2007-CapiluppiF #anti #open source #predict: A model to predict anti-regressive effort in Open Source Software (AC, JFR), pp. 194–203.
ICSM-2007-HerraizGRG #evolution #on the #predict: On the prediction of the evolution of libre software projects (IH, JMGB, GR, DMG), pp. 405–414.
ICSM-2007-Vivanco #approach #modelling #predict #quality #using: Improving Predictive Models of Software Quality Using an Evolutionary Computational Approach (RV), pp. 503–504.
MSR-2007-JoshiZRB #approach #debugging #predict: Local and Global Recency Weighting Approach to Bug Prediction (HJ, CZ, SR, CB), p. 33.
MSR-2007-KagdiM #dependence #predict: Combining Single-Version and Evolutionary Dependencies for Software-Change Prediction (HHK, JIM), p. 17.
MSR-2007-Panjer #debugging #eclipse #predict: Predicting Eclipse Bug Lifetimes (LDP), p. 29.
MSR-2007-Schroter #fault #predict: Predicting Defects and Changes with Import Relations (AS), p. 31.
CHI-2007-CockburnGG #performance #predict: A predictive model of menu performance (AC, CG, SG), pp. 627–636.
CHI-2007-HalversonH #human-computer #interactive #predict #visual notation: A minimal model for predicting visual search in human-computer interaction (TH, AJH), pp. 431–434.
CHI-2007-LankCR #predict #using: Endpoint prediction using motion kinematics (EL, YCNC, JR), pp. 637–646.
CHI-2007-PettittBS #information management #predict #visual notation: An extended keystroke level model (KLM) for predicting the visual demand of in-vehicle information systems (MP, GEB, AS), pp. 1515–1524.
DHM-2007-FritzscheB #predict: Prediction of Discomfort During Arm Movements (FF, HB), pp. 66–73.
DHM-2007-QiaoYY #equation #predict: The Application of Kane Equation in the Impact Prediction of Human Motion (MQ, CY, XY), pp. 179–188.
DHM-2007-XuWZZ #algorithm #complexity #predict: An Epileptic Seizure Prediction Algorithm from Scalp EEG Based on Morphological Filter and Kolmogorov Complexity (GX, JW, QZ, JZ), pp. 736–746.
DHM-2007-YangRMAH #predict #validation: Validation of Predicted Posture for the Virtual Human SantosTM (JY, SR, TM, KAM, CH), pp. 500–510.
HCI-AS-2007-BurgerB #predict: Predicting the Outcome of a Computer Literacy Course Based on a Candidate’s Personal Characteristics (AJB, PJB), pp. 173–182.
HCI-IDU-2007-StrybelVDKNCG #predict #using: Predicting Perceived Situation Awareness of Low Altitude Aircraft in Terminal Airspace Using Probe Questions (TZS, KPLV, JPD, JK, TKN, VC, FPG), pp. 939–948.
HCI-IDU-2007-VerpoortenLC #interactive #predict: Task-Based Prediction of Interaction Patterns for Ambient Intelligence Environments (KV, KL, KC), pp. 1216–1225.
HCI-MIE-2007-DerakhshiK #bound #fuzzy #network #predict #sequence #using #word: Using Recurrent Fuzzy Neural Networks for Predicting Word Boundaries in a Phoneme Sequence in Persian Language (MRFD, MRK), pp. 50–59.
HCI-MIE-2007-SerbanTM #behaviour #interface #learning #predict: A Learning Interface Agent for User Behavior Prediction (GS, AT, GSM), pp. 508–517.
HIMI-IIE-2007-Sanchez-PueblaAD #evaluation #interface #parametricity #predict #validation: Validation of Critical Parameters for Predictive Evaluation of Notification System in Avionics Interfaces (MASP, IA, PD), pp. 1109–1118.
HIMI-MTT-2007-KarshEAHSMPSAKSB #case study #predict #quality: Do Beliefs About Hospital Technologies Predict Nurses’ Perceptions of Their Ability to Provide Quality Care? A Study in Two Pediatric Hospitals (BTK, KE, SA, RJH, MS, KM, NP, TS, JA, RK, KS, RLB), pp. 77–83.
ICEIS-AIDSS-2007-BenschBRBSB #operating system #optimisation #predict #self: Self-Learning Prediction System for Optimisation of Workload Management in a Mainframe Operating System (MB, DB, WR, MB, WGS, PB), pp. 212–218.
ICEIS-AIDSS-2007-SturekRNS #predict #reliability: A Decision Support System for Predicting the Reliability of a Robotic Dispensing System (JS, SR, PN, KS), pp. 289–296.
ICEIS-AIDSS-2007-YingboJJ #learning #predict #process #using #workflow: Using Decision Tree Learning to Predict Workflow Activity Time Consumption (YL, JW, JS), pp. 69–75.
CIKM-2007-LiMGDBM #predict #process #using: Predicting individual priorities of shared activities using support vector machines (LL, MJM, WG, CD, BB, DRM), pp. 515–524.
CIKM-2007-PiwowarskiZ #modelling #predict: Predictive user click models based on click-through history (BP, HZ), pp. 175–182.
ECIR-2007-MasegosaJJ #independence #predict: Evaluating Query-Independent Object Features for Relevancy Prediction (ARM, HJ, JMJ), pp. 283–294.
ICML-2007-DavisCRP #approach #predict #process: An integrated approach to feature invention and model construction for drug activity prediction (JD, VSC, SR, DP), pp. 217–224.
ICML-2007-DietzBS #predict: Unsupervised prediction of citation influences (LD, SB, TS), pp. 233–240.
ICML-2007-GlobersonKCC #algorithm #predict: Exponentiated gradient algorithms for log-linear structured prediction (AG, TK, XC, MC), pp. 305–312.
ICML-2007-TitovH #incremental #network #predict: Incremental Bayesian networks for structure prediction (IT, JH), pp. 887–894.
KDD-2007-AgarwalM #modelling #predict #scalability: Predictive discrete latent factor models for large scale dyadic data (DA, SM), pp. 26–35.
KDD-2007-PandeySGGK #case study #interactive #network #predict: Association analysis-based transformations for protein interaction networks: a function prediction case study (GP, MS, RG, TG, VK), pp. 540–549.
MLDM-2007-AburtoW #hybrid #predict: A Sequential Hybrid Forecasting System for Demand Prediction (LA, RW), pp. 518–532.
MLDM-2007-Morzy #mining #predict: Mining Frequent Trajectories of Moving Objects for Location Prediction (MM), pp. 667–680.
RecSys-2007-ZhangP #algorithm #collaboration #predict #recommendation #recursion: A recursive prediction algorithm for collaborative filtering recommender systems (JZ, PP), pp. 57–64.
SEKE-2007-AmouiST #network #predict #using: Temporal Software Change Prediction Using Neural Networks (MA, MS, LT), pp. 380–385.
SEKE-2007-HewettKM #order #predict: Predicting Order of Likelihood of Defective Software Modules (RH, PK, AvdM), pp. 93–98.
SEKE-2007-MoserPS #agile #development #incremental #modelling #predict #using: Incremental Effort Prediction Models in Agile Development using Radial Basis Functions (RM, WP, GS), pp. 519–522.
SIGIR-2007-Diaz #performance #predict #using: Performance prediction using spatial autocorrelation (FD), pp. 583–590.
SIGIR-2007-HuffmanH #how #predict #question: How well does result relevance predict session satisfaction? (SBH, MH), pp. 567–574.
SIGIR-2007-LiuHAY #named #performance #predict #sentiment #using: ARSA: a sentiment-aware model for predicting sales performance using blogs (YL, XH, AA, XY), pp. 607–614.
SIGIR-2007-MaKL #collaboration #effectiveness #predict: Effective missing data prediction for collaborative filtering (HM, IK, MRL), pp. 39–46.
SIGIR-2007-MasegosaJJ #documentation #predict: Effects of highly agreed documents in relevancy prediction (ARM, HJ, JMJ), pp. 883–884.
SIGIR-2007-ZhouC #performance #predict #query #web: Query performance prediction in web search environments (YZ, WBC), pp. 543–550.
ESEC-FSE-2007-JoshiSS #effectiveness #predict #testing: Predictive testing: amplifying the effectiveness of software testing (PJ, KS, MS), pp. 561–564.
ICSE-2007-JinTHL #evaluation #information management #legacy #performance #predict: Performance Evaluation and Prediction for Legacy Information Systems (YJ, AT, JH, YL), pp. 540–549.
ICSE-2007-KimZWZ #fault #predict: Predicting Faults from Cached History (SK, TZ, EJWJ, AZ), pp. 489–498.
HPCA-2007-QuinonesPG #branch #execution #predict: Improving Branch Prediction and Predicated Execution in Out-of-Order Processors (EQ, JMP, AG), pp. 75–84.
CADE-2007-KoprowskiM #dependence #predict #satisfiability #using: Predictive Labeling with Dependency Pairs Using SAT (AK, AM), pp. 410–425.
CBSE-2006-Hamlet #assembly #predict: Defining “Predictable Assembly” (DH), pp. 320–327.
QoSA-2006-DuzbayevP #behaviour #predict #runtime: Runtime Prediction of Queued Behaviour (ND, IP), pp. 78–94.
ASE-2006-HassanZ #certification #predict #using: Using Decision Trees to Predict the Certification Result of a Build (AEH, KZ), pp. 189–198.
CASE-2006-HuangLYZ #fuzzy #predict: Fuzzy Model Predictive Control for a Comfort Air-Conditioning System (YH, NL, YY, JZ), pp. 530–533.
DAC-2006-OgrasM #predict: Prediction-based flow control for network-on-chip traffic (ÜYO, RM), pp. 839–844.
DATE-2006-Schoeberl #java #predict: A time predictable Java processor (MS), pp. 800–805.
VLDB-2006-ChenRST #analysis #predict: Bellwether Analysis: Predicting Global Aggregates from Local Regions (BCC, RR, JWS, PT), pp. 655–666.
ITiCSE-2006-Chamillard #education #performance #predict #student #using: Using student performance predictions in a computer science curriculum (ATC), pp. 260–264.
FASE-2006-RobbyDK #design #flexibility #metric #predict #using: Using Design Metrics for Predicting System Flexibility (R, SAD, VAK), pp. 184–198.
ICSM-2006-TomaszewskiGL #fault #predict: A Method for an Accurate Early Prediction of Faults in Modified Classes (PT, HG, LL), pp. 487–496.
MSR-2006-AskariH #evaluation #modelling #predict #scalability: Information theoretic evaluation of change prediction models for large-scale software (MA, RCH), pp. 126–132.
MSR-2006-KnabPB #fault #predict #source code: Predicting defect densities in source code files with decision tree learners (PK, MP, AB), pp. 119–125.
CHI-2006-AvrahamiH #communication #latency #modelling #predict: Responsiveness in instant messaging: predictive models supporting inter-personal communication (DA, SEH), pp. 731–740.
CHI-2006-EngLTCHV #adaptation #automation #behaviour #generative #performance #predict: Generating automated predictions of behavior strategically adapted to specific performance objectives (KE, RLL, IT, AC, AH, AHV), pp. 621–630.
CHI-2006-IqbalB #cost analysis #predict: Leveraging characteristics of task structure to predict the cost of interruption (STI, BPB), pp. 741–750.
CHI-2006-KuriharaGOI #multimodal #predict #recognition #speech: Speech pen: predictive handwriting based on ambient multimodal recognition (KK, MG, JO, TI), pp. 851–860.
CSCW-2006-AvrahamiH #communication #predict: Communication characteristics of instant messaging: effects and predictions of interpersonal relationships (DA, SEH), pp. 505–514.
ICEIS-AIDSS-2006-ThuD #predict #risk management #using: Predicting Cardiovascular Risks — Using POSSUM, PPOSSUM and Neural Net Techniques (TNTT, DND), pp. 230–234.
ICEIS-ISAS-2006-SubramaniamKG #behaviour #evolution #predict #process: Business Processes: Behavior Prediction and Capturing Reasons for Evolution (SS, VK, DG), pp. 3–10.
CIKM-2006-ZhouC #framework #novel #performance #predict #query #ranking #robust: Ranking robustness: a novel framework to predict query performance (YZ, WBC), pp. 567–574.
ICML-2006-BonillaWACTO #predict: Predictive search distributions (EVB, CKIW, FVA, JC, JT, MFPO), pp. 121–128.
ICML-2006-BowlingMJNW #learning #policy #predict #using: Learning predictive state representations using non-blind policies (MHB, PM, MJ, JN, DFW), pp. 129–136.
ICML-2006-DeCoste #collaboration #matrix #predict #using: Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations (DD), pp. 249–256.
ICML-2006-EngelhardtJB #predict #visual notation: A graphical model for predicting protein molecular function (BEE, MIJ, SEB), pp. 297–304.
ICML-2006-RudaryS #modelling #predict #probability: Predictive linear-Gaussian models of controlled stochastic dynamical systems (MRR, SPS), pp. 777–784.
ICML-2006-SternHG #game studies #predict #ranking: Bayesian pattern ranking for move prediction in the game of Go (DHS, RH, TG), pp. 873–880.
ICML-2006-WingateS #kernel #linear #modelling #predict #probability: Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems (DW, SPS), pp. 1017–1024.
ICML-2006-WolfeS #predict: Predictive state representations with options (BW, SPS), pp. 1025–1032.
ICPR-v1-2006-ZhuWCW #classification #human-computer #interface #predict: GMM-Based Classification Method for Continuous Prediction in Brain-Computer Interface (XZ, JW, YC, YW), pp. 1171–1174.
ICPR-v2-2006-Ekbal #classification #predict #using: Improvement of Prediction Accuracy Using Discretization and Voting Classifier (AE), pp. 695–698.
ICPR-v2-2006-Huang #kernel #predict: A New Kernel Based on Weighted Cross-Correlation Coefficient for SVMs and Its Application on Prediction of T-cell Epitopes (JH), pp. 691–694.
ICPR-v2-2006-LiA #estimation #predict: Texture-Constrained Shape Prediction for Mouth Contour Extraction and its State Estimation (ZL, HA), pp. 88–91.
ICPR-v3-2006-JingS #predict: Scanner Artifact Removal in Simultaneous EEG-fMRI for Epileptic Seizure Prediction (MJ, SS), pp. 722–725.
ICPR-v3-2006-KierA #classification #multi #predict: Predicting the benefit of sample size extension in multiclass k-NN classification (CK, TA), pp. 332–335.
ICPR-v3-2006-MoriUKTHS #gesture #predict #recognition: Early Recognition and Prediction of Gestures (AM, SU, RK, RiT, TH, HS), pp. 560–563.
ICPR-v3-2006-NguyenSQN #fuzzy #predict #using: Traffic Prediction Using Ying-Yang Fuzzy Cerebellar Model Articulation Controller (MNN, DS, CQ, GSN), pp. 258–261.
ICPR-v3-2006-WangB06b #multimodal #performance #predict: Performance Prediction for Multimodal Biometrics (RW, BB), pp. 586–589.
ICPR-v4-2006-LienY #performance #predict #using: A Fast Mode Decision Method for H.264/AVC Using the Spatial-Temporal Prediction Scheme (CCL, CPY), pp. 334–337.
ICPR-v4-2006-LiuH #automation #predict #segmentation #speech: A Bayesian Predictive Method for Automatic Speech Segmentation (ML, TSH), pp. 290–293.
ICPR-v4-2006-WongYL #identification #predict: Identifying Weather Systems from Numerical Weather Prediction Data (KYW, CLY, PWL), pp. 841–844.
KDD-2006-CaruanaEMRSFHK #mining #predict: Mining citizen science data to predict orevalence of wild bird species (RC, MFE, AM, MR, DS, DF, WMH, SK), pp. 909–915.
KDD-2006-ZhangPD #categorisation #graph #linear #modelling #predict: Linear prediction models with graph regularization for web-page categorization (TZ, AP, BD), pp. 821–826.
SEKE-2006-HewettKSA #fault #predict #testing: Software Defect Data and Predictability for Testing Schedules (RH, AK, CS, AAA), pp. 499–504.
SIGIR-2006-AgichteinBDR #interactive #learning #modelling #predict #web: Learning user interaction models for predicting web search result preferences (EA, EB, STD, RR), pp. 3–10.
SIGIR-2006-JeonCLP #framework #predict #quality: A framework to predict the quality of answers with non-textual features (JJ, WBC, JHL, SP), pp. 228–235.
SIGIR-2006-MurrayLC #behaviour #modelling #predict #query: Action modeling: language models that predict query behavior (GCM, JJL, AC), pp. 681–682.
QAPL-2006-SingerB #predict: Return Value Prediction meets Information Theory (JS, GB), pp. 137–151.
SAC-2006-DerisB #embedded #predict: Branchless cycle prediction for embedded processors (KJD, AB), pp. 928–932.
SAC-2006-DorneichNPT #database #embedded #modelling #parallel #predict #relational: Embedded predictive modeling in a parallel relational database (AD, RN, EPDP, FT), pp. 569–574.
SAC-2006-TsengCL #e-commerce #mining #navigation #personalisation #predict: Mining and prediction of temporal navigation patterns for personalized services in e-commerce (VST, JCC, KWL), pp. 867–871.
ICSE-2006-LiHSR #case study #experience #fault #predict: Experiences and results from initiating field defect prediction and product test prioritization efforts at ABB Inc (PLL, JDH, MS, BR), pp. 413–422.
ICSE-2006-NagappanBZ #component #metric #mining #predict: Mining metrics to predict component failures (NN, TB, AZ), pp. 452–461.
ICSE-2006-TwalaCS #predict: Ensemble of missing data techniques to improve software prediction accuracy (BT, MC, MJS), pp. 909–912.
SPL-BOOK-2006-Immonen #architecture #predict #reliability: A Method for Predicting Reliability and Availability at the Architecture Level (AI), pp. 373–422.
SPLC-2006-GanesanMY #predict #product line: Predicting Return-on-Investment for Product Line Generations (DG, DM, KY), pp. 13–22.
ASPLOS-2006-IpekMCSS #architecture #design #modelling #predict: Efficiently exploring architectural design spaces via predictive modeling (EI, SAM, RC, BRdS, MS), pp. 195–206.
ASPLOS-2006-LeeB #architecture #modelling #performance #predict: Accurate and efficient regression modeling for microarchitectural performance and power prediction (BCL, DMB), pp. 185–194.
ASPLOS-2006-ReddyRP #comprehension #fault tolerance #predict #thread: Understanding prediction-based partial redundant threading for low-overhead, high- coverage fault tolerance (VKR, ER, SP), pp. 83–94.
HPCA-2006-SubramaniamL #dependence #memory management #predict #scalability #scheduling: Store vectors for scalable memory dependence prediction and scheduling (SS, GHL), pp. 65–76.
HPDC-2006-CaiKS #data type #named #network #performance #predict: IQ-Paths: Predictably High Performance Data Streams across Dynamic Network Overlays (ZC, VK, KS), pp. 18–29.
HPDC-2006-DobberMK #effectiveness #grid #predict #scalability: Effective Prediction of Job Processing Times in a Large-Scale Grid Environment (MD, RDvdM, GK), pp. 359–360.
HPDC-2006-DuanPF #data mining #detection #fault #grid #predict: Data Mining-based Fault Prediction and Detection on the Grid (RD, RP, TF), pp. 305–308.
HPDC-2006-RenLEB #fine-grained #predict: Resource Availability Prediction in Fine-Grained Cycle Sharing Systems (XR, SL, RE, SB), pp. 93–104.
HPDC-2006-SandholmLOO #grid #performance #predict #resource management #using: Market-Based Resource Allocation using Price Prediction in a High Performance Computing Grid for Scientific Applications (TS, KL, JAO, JO), pp. 132–143.
PPoPP-2006-BrevikNW #bound #parallel #predict: Predicting bounds on queuing delay for batch-scheduled parallel machines (JB, DN, RW), pp. 110–118.
RTA-2006-HirokawaM #predict: Predictive Labeling (NH, AM), pp. 313–327.
CBSE-2005-LiuG #performance #predict #protocol #using: Performance Prediction of J2EE Applications Using Messaging Protocols (YL, IG), pp. 1–16.
WICSA-2005-BhattacharyaP #architecture #component #predict #specification: Predicting Architectural Styles from Component Specifications (SB, DEP), pp. 231–232.
WICSA-2005-TangJHN #architecture #design #impact analysis #network #predict: Predicting Change Impact in Architecture Design with Bayesian Belief Networks (AT, YJ, JH, AEN), pp. 67–76.
CASE-2005-DulluriSR #predict: Predicting price-tag for customized goods (SD, PS, NRSR), pp. 136–141.
DATE-2005-BurguiereR #branch #modelling #predict: A Contribution to Branch Prediction Modeling in WCET Analysi (CB, CR), pp. 612–617.
DATE-2005-LeeCALK #hardware #predict #transaction: A Prediction Packetizing Scheme for Reducing Channel Traffic in Transaction-Level Hardware/Software Co-Emulation (JGL, MKC, KYA, SHL, CMK), pp. 384–389.
DATE-2005-StuijkBMG #data type #multi #predict #scalability: Predictable Embedding of Large Data Structures in Multiprocessor Networks-on-Chip (SS, TB, BM, MG), pp. 254–255.
DATE-2005-WehmeyerM #embedded #memory management #predict: nfluence of Memory Hierarchies on Predictability for Time Constrained Embedded Software (LW, PM), pp. 600–605.
VLDB-2005-ChenCLR #predict: Prediction Cubes (BCC, LC, YL, RR), pp. 982–993.
FASE-2005-RodriguesRU #component #concurrent #predict #reliability #using: Using Scenarios to Predict the Reliability of Concurrent Component-Based Software Systems (GNR, DSR, SU), pp. 111–126.
CSMR-2005-HostJ #performance #predict: Performance Prediction Based on Knowledge of Prior Product Versions (MH, EJ), pp. 12–20.
ICSM-2005-HassanH #fault #predict: The Top Ten List: Dynamic Fault Prediction (AEH, RCH), pp. 263–272.
ICSM-2005-HayesZ #analysis #evolution #maintenance #metric #predict: Maintainability Prediction: A Regression Analysis of Measures of Evolving Systems (JHH, LZ), pp. 601–604.
MSR-2005-AntoniolRV #linear #mining #predict #repository: Linear predictive coding and cepstrum coefficients for mining time variant information from software repositories (GA, VFR, GV), pp. 61–65.
PLDI-2005-Jimenez #branch #predict: Code placement for improving dynamic branch prediction accuracy (DAJ), pp. 107–116.
SFM-2005-AcquavivaABBBL #formal method #impact analysis #power management #predict: A Methodology Based on Formal Methods for Predicting the Impact of Dynamic Power Management (AA, AA, MB, AB, EB, EL), pp. 155–189.
CHI-2005-BlackmonKP #effectiveness #navigation #predict #problem: Tool for accurately predicting website navigation problems, non-problems, problem severity, and effectiveness of repairs (MHB, MK, PGP), pp. 31–40.
CHI-2005-DabbishKFK #comprehension #email #predict: Understanding email use: predicting action on a message (LAD, REK, SRF, SBK), pp. 691–700.
CHI-2005-KaurH #behaviour #comparison #predict: A comparison of LSA, wordNet and PMI-IR for predicting user click behavior (IK, AJH), pp. 51–60.
ICEIS-v2-2005-CuellarDJ #network #predict #problem #programming: An Application of Non-Linear Programming to Train Recurrent Neural Networks in Time Series Prediction Problems (MPC, MD, MdCPJ), pp. 35–42.
ICEIS-v4-2005-RusselB #data transfer #grid #performance #predict: Predicting the Performance of Data Transfer in a Grid Environment (ABMR, SB), pp. 176–181.
CIKM-2005-AgichteinC #predict: Predicting accuracy of extracting information from unstructured text collections (EA, SC), pp. 413–420.
ICML-2005-BachJ #composition #kernel #predict #rank: Predictive low-rank decomposition for kernel methods (FRB, MIJ), pp. 33–40.
ICML-2005-CarneyCDL #network #predict #probability #using: Predicting probability distributions for surf height using an ensemble of mixture density networks (MC, PC, JD, CL), pp. 113–120.
ICML-2005-DaumeM #approximate #learning #optimisation #predict #scalability: Learning as search optimization: approximate large margin methods for structured prediction (HDI, DM), pp. 169–176.
ICML-2005-LeiteB #classification #performance #predict: Predicting relative performance of classifiers from samples (RL, PB), pp. 497–503.
ICML-2005-LiuXC #graph #predict #using: Predicting protein folds with structural repeats using a chain graph model (YL, EPX, JGC), pp. 513–520.
ICML-2005-Niculescu-MizilC #learning #predict: Predicting good probabilities with supervised learning (ANM, RC), pp. 625–632.
ICML-2005-RennieS #collaboration #matrix #performance #predict: Fast maximum margin matrix factorization for collaborative prediction (JDMR, NS), pp. 713–719.
ICML-2005-SnelsonG #approximate #predict: Compact approximations to Bayesian predictive distributions (ES, ZG), pp. 840–847.
ICML-2005-TaskarCKG #approach #learning #modelling #predict #scalability: Learning structured prediction models: a large margin approach (BT, VC, DK, CG), pp. 896–903.
ICML-2005-Wiewiora #learning #predict: Learning predictive representations from a history (EW), pp. 964–971.
ICML-2005-WolfeJS #learning #predict: Learning predictive state representations in dynamical systems without reset (BW, MRJ, SPS), pp. 980–987.
KDD-2005-Ghani #online #predict: Price prediction and insurance for online auctions (RG), pp. 411–418.
KDD-2005-GruhlGKNT #online #power of #predict: The predictive power of online chatter (DG, RVG, RK, JN, AT), pp. 78–87.
KDD-2005-RaskuttiH #predict: Predicting the product purchase patterns of corporate customers (BR, AH), pp. 469–478.
KDD-2005-SongLTS #behaviour #modelling #predict: Modeling and predicting personal information dissemination behavior (XS, CYL, BLT, MTS), pp. 479–488.
KDD-2005-YangL #learning #predict: Learning to predict train wheel failures (CY, SL), pp. 516–525.
KDD-2005-YangWZ #data type #predict: Combining proactive and reactive predictions for data streams (YY, XW, XZ), pp. 710–715.
MLDM-2005-BunkeDIK #analysis #graph #learning #predict: Analysis of Time Series of Graphs: Prediction of Node Presence by Means of Decision Tree Learning (HB, PJD, CI, MK), pp. 366–375.
MLDM-2005-HalveyKS #clustering #internet #navigation #predict #using: Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files (MH, MTK, BS), pp. 174–183.
MLDM-2005-KurganH #approach #feature model #predict #sequence: Prediction of Secondary Protein Structure Content from Primary Sequence Alone — A Feature Selection Based Approach (LAK, LH), pp. 334–345.
SEKE-2005-LoYT #algorithm #mining #predict: Weighted Binary Sequential Mining Algorithm with Application to the Next-Day Appearance Prediction (SL, JY, FCT), pp. 783–782.
SIGIR-2005-JensenBGFC #learning #predict #query #visual notation #web: Predicting query difficulty on the web by learning visual clues (ECJ, SMB, DAG, OF, AC), pp. 615–616.
MoDELS-2005-RodriguesRU #development #modelling #predict #reliability: Reliability Prediction in Model-Driven Development (GNR, DSR, SU), pp. 339–354.
MoDELS-2005-RodriguesRU #development #modelling #predict #reliability: Reliability Prediction in Model-Driven Development (GNR, DSR, SU), pp. 339–354.
PPDP-2005-PaluDP #heuristic #optimisation #parallel #predict: Heuristics, optimizations, and parallelism for protein structure prediction in CLP(FD) (ADP, AD, EP), pp. 230–241.
POPL-2005-StoyleHBSN #predict: Mutatis mutandis: safe and predictable dynamic software updating (GS, MWH, GMB, PS, IN), pp. 183–194.
SAC-2005-AngiulliBP #detection #predict: Detection and prediction of distance-based outliers (FA, SB, CP), pp. 537–542.
SAC-2005-BalsaraR #model checking #predict #search-based #using: Prediction of inherited and genetic mutations using the software model checker SPIN (ZB, SR), pp. 208–209.
SAC-2005-ChenA #analysis #approach #comparative #predict #sequence #using: A new approach for gene prediction using comparative sequence analysis (RC, HHA), pp. 177–184.
SAC-2005-DavidssonHS #predict #sequence: Comparing approaches to predict transmembrane domains in protein sequences (PD, JH, KS), pp. 185–189.
SAC-2005-HsiehCLT #detection #named #predict #sequence: EXONSCAN: EXON prediction with Signal detection and Coding region AligNment in homologous sequences (SJH, YSC, CYL, CYT), pp. 202–203.
SAC-2005-HuangSMZGGP #approach #clustering #predict: A clustering-based approach for prediction of cardiac resynchronization therapy (HH, LS, FM, SZ, MG, LG, JDP), pp. 260–266.
SAC-2005-LiY #classification #predict #recursion #using: Using recursive classification to discover predictive features (FL, YY), pp. 1054–1058.
ICSE-2005-NagappanB #fault #metric #predict: Use of relative code churn measures to predict system defect density (NN, TB), pp. 284–292.
CGO-2005-StephensonA #classification #predict #using: Predicting Unroll Factors Using Supervised Classification (MS, SPA), pp. 123–134.
HPCA-2005-ChandraGKS #architecture #multi #predict #thread: Predicting Inter-Thread Cache Contention on a Chip Multi-Processor Architecture (DC, FG, SK, YS), pp. 340–351.
HPCA-2005-LauSC #classification #predict: Transition Phase Classification and Prediction (JL, SS, BC), pp. 278–289.
HPCA-2005-TuckT #parallel #predict #thread: Multithreaded Value Prediction (NT, DMT), pp. 5–15.
CBSE-2004-EskenaziFH #component #composition #performance #predict: Performance Prediction for Component Compositions (EME, AVF, DKH), pp. 280–293.
CBSE-2004-MuskensC #component #multi #predict #runtime: Prediction of Run-Time Resource Consumption in Multi-task Component-Based Software Systems (JM, MRVC), pp. 162–177.
DATE-v2-2004-WangMR #automation #megamodelling #predict: Automated, Accurate Macromodelling of Digital Aggressors for Power/Ground/Substrate Noise Prediction (ZW, RM, JSR), pp. 824–829.
DocEng-2004-Dymetman #authoring #documentation #editing #predict: Chart-parsing techniques and the prediction of valid editing moves in structured document authoring (MD), pp. 229–238.
SIGMOD-2004-PatelCC #named #performance #predict: STRIPES: An Efficient Index for Predicted Trajectories (JMP, YC, VPC), pp. 637–646.
SIGMOD-2004-TaoFPL #predict: Prediction and Indexing of Moving Objects with Unknown Motion Patterns (YT, CF, DP, BL), pp. 611–622.
ITiCSE-WGR-2004-RountreeRRH #predict: Interacting factors that predict success and failure in a CS1 course (NR, JR, AVR, RH), pp. 101–104.
FASE-2004-ChatleyEKMU #plugin #predict: Predictable Dynamic Plugin Systems (RC, SE, JK, JM, SU), pp. 129–143.
TACAS-2004-SenRA #analysis #online #parallel #performance #predict #safety #source code #thread: Online Efficient Predictive Safety Analysis of Multithreaded Programs (KS, GR, GA), pp. 123–138.
ICSM-2004-HassanH #co-evolution #predict: Predicting Change Propagation in Software Systems (AEH, RCH), pp. 284–293.
SCAM-2004-BruntinkD #metric #object-oriented #predict #testing #using: Predicting Class Testability using Object-Oriented Metrics (MB, AvD), pp. 136–145.
ICALP-2004-Lyngso #complexity #modelling #predict #pseudo: Complexity of Pseudoknot Prediction in Simple Models (RBL), pp. 919–931.
SEFM-2004-RouffVHTR #behaviour #formal method #predict: Properties of a Formal Method for Prediction of Emergent Behaviors in Swarm-Based Systems (CR, AV, MGH, WT, JLR), pp. 24–33.
CHI-2004-HouriziJ #design #predict: Designing to support awareness: a predictive, composite model (RH, PJ), pp. 159–166.
CHI-2004-JohnPSK #modelling #performance #predict: Predictive human performance modeling made easy (BEJ, KCP, DDS, KRK), pp. 455–462.
CHI-2004-VeraHML #approach #constraints #interactive #predict: A constraint satisfaction approach to predicting skilled interactive cognition (AHV, AH, MM, RLL), pp. 121–128.
ICEIS-v1-2004-LuciaPS #empirical #maintenance #modelling #predict: Assessing Effort Prediction Models for Corrective Software Maintenance — An Empirical Study (ADL, EP, SS), pp. 383–390.
ICEIS-v2-2004-CuellarFJN #adaptation #network #predict: An Adaptable Time-Delay Neural Network to Predict the Spanish Economic Indebtedness (MPC, WF, MdCPJ, RPP, MAN), pp. 457–460.
ICEIS-v2-2004-CuellarNJP #algorithm #case study #comparative #network #predict: A Comparative Study of Evolutionary Algorithms for Training Elman Recurrent Neural Networks to Predict Autonomous Indebtedness (MPC, AN, MdCPJ, RPP), pp. 461–464.
ICEIS-v2-2004-WuW #predict #probability #using #web: Predicting Web Requests Efficiently Using a Probability Model (SW, WW), pp. 48–53.
ICEIS-v3-2004-PanedaMGGN #analysis #monitoring #predict #video: Analysis and Configuration Methodology for Video on Demand Services Based on Monitoring Information and Prediction (XGP, DM, RG, VGG, ÁN), pp. 289–294.
ICEIS-v5-2004-GattiM #communication #composition #predict: CABA2L A Bliss Predictive Composition Assistant for AAC Communication Software (NG, MM), pp. 89–96.
ICEIS-v5-2004-Pahnila #information management #personalisation #predict: Predicting the User Acceptance of Personalized Information Systems: Case Medical Portal (SP), pp. 195–202.
ECIR-2004-HungWS #bottom-up #clustering #predict #top-down: Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering (CH, SW, PS), pp. 154–166.
ICML-2004-ChuGW #predict #visual notation: A graphical model for protein secondary structure prediction (WC, ZG, DLW).
ICML-2004-JamesS #learning #predict: Learning and discovery of predictive state representations in dynamical systems with reset (MRJ, SPS).
ICML-2004-QiMPG #automation #predict: Predictive automatic relevance determination by expectation propagation (Y(Q, TPM, RWP, ZG).
ICML-2004-RosencrantzGT #learning #predict: Learning low dimensional predictive representations (MR, GJG, ST).
ICML-2004-Zhang #algorithm #linear #predict #probability #problem #scalability #using: Solving large scale linear prediction problems using stochastic gradient descent algorithms (TZ0).
ICPR-v2-2004-ColleP #predict #process: Relaxation Labeling Processes for Protein Secondary Structure Prediction (GC, MP), pp. 355–358.
ICPR-v2-2004-MiyamotoUHIO #comparison #predict: Comparison of Microarray-Based Predictive Systems for Early Recurrence of Cancer (TM, SU, YH, NI, MO), pp. 347–350.
ICPR-v2-2004-XuanDKHCW #feature model #multi #predict #profiling #robust: Robust Feature Selection by Weighted Fisher Criterion for Multiclass Prediction in Gene Expression Profiling (JX, YD, JIK, EPH, RC, YJW), pp. 291–294.
ICPR-v4-2004-DharaC #approach #estimation #hybrid #predict #using #video: Video Motion Estimation Using Prediction Based Hybrid Approach (BCD, BC), pp. 737–740.
ICPR-v4-2004-JunY #predict: Prediction of Fingerprint Orientation (JL, WYY), pp. 436–439.
ICPR-v4-2004-LaiY #algorithm #fault #network #predict: Successive-Least-Squares Error Algorithm on Minimum Description Length Neural Networks for Time Series Prediction (YNL, SYY), pp. 609–612.
ICPR-v4-2004-ReddyS #estimation #predict: A New Predictive Full-Search Block Motion Estimation (VSKR, SS), pp. 721–724.
KDD-2004-CumbyFGK #predict: Predicting customer shopping lists from point-of-sale purchase data (CMC, AEF, RG, MK), pp. 402–409.
KDD-2004-HorvathGW #graph #kernel #mining #predict: Cyclic pattern kernels for predictive graph mining (TH, TG, SW), pp. 158–167.
KDD-2004-NakataT #mining #predict: Mining traffic data from probe-car system for travel time prediction (TN, JiT), pp. 817–822.
KDD-2004-YanVS #predict: Predicting prostate cancer recurrence via maximizing the concordance index (LY, DV, OS), pp. 479–485.
SEKE-2004-CostagliolaFGTV #development #predict #using #web: Using COSMIC-FFP for Predicting Web Application Development Effort (GC, FF, CG, GT, GV), pp. 439–444.
SEKE-2004-Cruz-LemusGORP #diagrams #fuzzy #predict #statechart #uml #using: Predicting UML Statechart Diagrams Understandability Using Fuzzy Logic-Based Techniques (JACL, MG, JAO, FPR, MP), pp. 238–245.
SIGIR-2004-Buckley #comparative #predict #ranking #retrieval #topic: Topic prediction based on comparative retrieval rankings (CB), pp. 506–507.
SIGIR-2004-DiazJ #precise #predict #query #using: Using temporal profiles of queries for precision prediction (FD, RJ), pp. 18–24.
SIGIR-2004-LiuCKG #predict: Context sensitive vocabulary and its application in protein secondary structure prediction (YL, JGC, JKS, VG), pp. 538–539.
SIGIR-2004-WhiteJ04a #predict: An implicit system for predicting interests (RWW, JMJ), p. 595.
TOOLS-USA-2003-Bouktif04 #approach #predict #quality #search-based #set: Improving Rule Set Based Software Quality Prediction: A Genetic Algorithm-based Approach (SB), pp. 227–241.
SAC-2004-Calderon-BenavidesGAGD #algorithm #collaboration #comparison #multi #predict: A comparison of several predictive algorithms for collaborative filtering on multi-valued ratings (MLCB, CNGC, JdJPA, JCGD, JD), pp. 1033–1039.
SAC-2004-LeccaPLC #predict #probability #π-calculus: Predicting cell adhesion probability via the biochemical stochastic π-calculus (PL, CP, CL, GC), pp. 211–212.
ASPLOS-2004-ShenZD #locality #predict: Locality phase prediction (XS, YZ, CD), pp. 165–176.
CGO-2004-WuBQEF #predict: The Accuracy of Initial Prediction in Two-Phase Dynamic Binary Translators (YW, MBJ, JQ, OE, JF), pp. 227–238.
HPCA-2004-ChenYFM #effectiveness #predict: Accurate and Complexity-Effective Spatial Pattern Prediction (CFC, SHY, BF, AM), pp. 276–287.
HPCA-2004-EhrhartP #predict #scheduling #using: Reducing the Scheduling Critical Cycle Using Wakeup Prediction (TEE, SJP), pp. 222–231.
HPCA-2004-WenWPK #predict: Exploiting Prediction to Reduce Power on Buses (VW, MW, YP, JK), pp. 2–13.
HPDC-2004-QiaoSD #empirical #multi #network #predict: An Empirical Study of the Multiscale Predictability of Network Traffic (YQ, JAS, PAD), pp. 66–76.
ICLP-2004-DefourJP #component #modelling #predict: Applying CLP to Predict Extra-Functional Properties of Component-Based Models (OD, JMJ, NP), pp. 454–455.
ASE-2003-GuoCS #fault #network #predict: Predicting Fault Prone Modules by the Dempster-Shafer Belief Networks (LG, BC, HS), pp. 249–252.
DAC-2003-HuM #clustering #predict: Wire length prediction based clustering and its application in placement (BH, MMS), pp. 800–805.
DAC-2003-JessKNOV #parametricity #predict #statistics: Statistical timing for parametric yield prediction of digital integrated circuits (JAGJ, KK, SRN, RHJMO, CV), pp. 932–937.
DATE-2003-RongP #capacity #predict: An Analytical Model for Predicting the Remaining Battery Capacity of Lithium-Ion Batteries (PR, MP), pp. 11148–11149.
VLDB-2003-PapadiasTS #predict #query: The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries (YT, DP, JS), pp. 790–801.
ICSM-2003-QuahT #metric #network #object-oriented #predict #quality #using: Application of Neural Networks for Software Quality Prediction Using Object-Oriented Metrics (TSQ, MMTT), p. 116–?.
WCRE-2003-DagpinarJ #comparison #empirical #maintenance #metric #object-oriented #predict: Predicting Maintainability with Object-Oriented Metrics — An Empirical Comparison (MD, JHJ), pp. 155–164.
PLDI-2003-DingZ #analysis #distance #locality #predict #reuse: Predicting whole-program locality through reuse distance analysis (CD, YZ), pp. 245–257.
PLDI-2003-ErtlG #branch #optimisation #predict #virtual machine: Optimizing indirect branch prediction accuracy in virtual machine interpreters (MAE, DG), pp. 278–288.
ICALP-2003-Condon #design #predict #problem: Problems on RNA Secondary Structure Prediction and Design (AC), pp. 22–32.
CHI-2003-HudsonFAAFKLY #predict: Predicting human interruptibility with sensors: a Wizard of Oz feasibility study (SEH, JF, CGA, DA, JF, SBK, JCL, JY), pp. 257–264.
CAiSE-2003-ZhangJY #assessment #predict #product line #quality: Quality Prediction and Assessment for Product Lines (HZ, SJ, BY), pp. 681–695.
ICEIS-v2-2003-ShihFL #online #predict: Customer Defection Prediction in Online Bookstores (YYS, KF, DRL), pp. 352–358.
ICEIS-v2-2003-VogiatzisFP #information management #predict: The Protein Structure Prediction Module of the Prot-Grid Information System (DV, DF, GAP), pp. 372–378.
CIKM-2003-Liben-NowellK #network #predict #problem #social: The link prediction problem for social networks (DLN, JMK), pp. 556–559.
ICML-2003-McGovernJ #identification #learning #multi #predict #relational #using: Identifying Predictive Structures in Relational Data Using Multiple Instance Learning (AM, DJ), pp. 528–535.
ICML-2003-SinghLJPS #learning #predict: Learning Predictive State Representations (SPS, MLL, NKJ, DP, PS), pp. 712–719.
KDD-2003-GunduzO #behaviour #modelling #predict #representation #web: A Web page prediction model based on click-stream tree representation of user behavior (SG, MTÖ), pp. 535–540.
KDD-2003-LawrenceHC #modelling #predict: Passenger-based predictive modeling of airline no-show rates (RDL, SJH, JC), pp. 397–406.
KDD-2003-SahooORGMMVS #clustering #predict #scalability: Critical event prediction for proactive management in large-scale computer clusters (RKS, AJO, IR, MG, JEM, SM, RV, AS), pp. 426–435.
KDD-2003-SheCWEGB #predict: Frequent-subsequence-based prediction of outer membrane proteins (RS, FC, KW, ME, JLG, FSLB), pp. 436–445.
SIGIR-2003-JonesF #predict #query #word: Query word deletion prediction (RJ, DCF), pp. 435–436.
POPL-2003-HofmannJ #first-order #functional #predict #source code: Static prediction of heap space usage for first-order functional programs (MH, SJ), pp. 185–197.
SAC-2003-MinOF #performance #predict: Performance Prediction of Wormhole Switching in Hypercubes with Bursty Traffic Pattern (GM, MOK, JDF), pp. 985–989.
SAC-2003-VulloF #approach #predict #recursion: A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins (AV, PF), pp. 67–71.
ESEC-FSE-2003-McCamantE #component #predict #problem: Predicting problems caused by component upgrades (SM, MDE), pp. 287–296.
ICSE-2003-MockusWZ #comprehension #predict: Understanding and Predicting Effort in Software Projects (AM, DMW, PZ), pp. 274–284.
HPCA-2003-ChenDA #branch #data flow #dependence #predict: Dynamic Data Dependence Tracking and its Application to Branch Prediction (LC, SD, DHA), pp. 65–76.
LCTES-2003-ZhaoCS #embedded #impact analysis #optimisation #predict: Predicting the impact of optimizations for embedded systems (MZ, BRC, MLS), pp. 1–11.
ICLP-2003-BackofenW #approach #constraints #modelling #predict: A Constraint-Based Approach to Structure Prediction for Simplified Protein Models That Outperforms Other Existing Methods (RB, SW), pp. 49–71.
TestCom-2003-Weyuker #predict: Prediction = Power (EJW), pp. 1–9.
CBSE-2002-ChenGLL #component #enterprise #off the shelf #performance #predict: Performance Prediction of COTS Component-based Enterprise Applications (SC, IG, AL, YL), p. 7.
CBSE-2002-CrnkovicSSW #assembly #predict #research: Anatomy of a Research Project in Predictable Assembly (IC, HS, JS, KW), p. 1.
CBSE-2002-LarssonWNC #architecture #embedded #predict #product line #using: Using Prediction Enabled Technologies for Embedded Product Line Architectures (ML, AW, CN, IC), p. 12.
CBSE-2002-MorenoHW #component #empirical #modelling #predict #standard #statistics #towards: Statistical Models for Empirical Component Properties and Assembly-Level Property Predictions: Toward Standard Labeling (GM, SH, KW), p. 10.
CBSE-2002-StaffordM #component #predict #reliability: Issues in Predicting the Reliability of Composed Components (JAS, JDM), p. 4.
CBSE-2002-VecellioTS #behaviour #component #predict: Containers for Predictable Behavior of Component-based Software (GJV, WMT, RMS), p. 2.
CBSE-2003-JongeMC #component #predict #runtime: Scenario-Based Prediction of Run-time Resource Consumption in Component-Based Software Systems (MdJ, JM, MRVC), p. 4.
CBSE-2003-VecellioT #framework #policy #predict: Infrastructure Support for Predictable Policy Enforcement (GV, WT), p. 13.
CBSE-2003-WuMW #component #performance #predict: Component Based Performance Prediction (XW, DM, MW), p. 3.
ASE-2002-AzarPBKS #adaptation #algorithm #modelling #predict #quality #search-based: Combining and Adapting Software Quality Predictive Models by Genetic Algorithms (DA, DP, SB, BK, HAS), pp. 285–288.
ASE-2002-GrosserSV #predict #reasoning #using: Predicting Software Stability Using Case-Based Reasoning (DG, HAS, PV), p. 295–?.
DAC-2002-Sheehan #predict: Osculating Thevenin model for predicting delay and slew of capacitively characterized cells (BNS), pp. 866–869.
DATE-2002-BontempiK #data analysis #performance #predict: A Data Analysis Method for Software Performance Prediction (GB, WK), pp. 971–976.
HT-2002-Davison #html #predict #web: Predicting web actions from HTML content (BDD0), pp. 159–168.
HT-2002-ZhuHH #markov #modelling #predict #using #web: Using Markov models for web site link prediction (JZ, JH, JGH), pp. 169–170.
CSMR-2002-YuSM #case study #industrial #metric #object-oriented #predict #using: Predicting Fault-Proneness using OO Metrics: An Industrial Case Study (PY, TS, HAM), pp. 99–107.
ICSM-2002-BouktifSK #approach #modelling #predict #quality: Combining Software Quality Predictive Models: An Evolutionary Approach (SB, HAS, BK), pp. 385–392.
PLDI-2002-BurtscherDH #classification #predict: Static Load Classification for Improving the Value Predictability of Data-Cache Misses (MB, AD, MH), pp. 222–233.
PLDI-2002-HenzingerK #embedded #predict #realtime: The Embedded Machine: Predictable, Portable Real-Time Code (TAH, CMK), pp. 315–326.
CIAA-2002-Bruggemann-KleinW #context-free grammar #on the #parsing #predict: On Predictive Parsing and Extended Context-Free Grammars (ABK, DW), pp. 239–247.
ICALP-2002-Marathe #complexity #predict #towards: Towards a Predictive Computational Complexity Theory (MVM), pp. 22–31.
IFL-2002-HammondM #behaviour #predict: Predictable Space Behaviour in FSM-Hume (KH, GM), pp. 1–16.
ICEIS-2002-KieltykaK #energy #network #predict: The Application of Artificial Neural Networks for Heat Energy Use Prediction (LK, RK), pp. 526–529.
ICEIS-2002-KrishnaswamyLZ #data mining #distributed #mining #optimisation #predict #runtime: Supporting the Optimisation of Distributed Data Mining by Predicting Application Run Times (SK, SWL, ABZ), pp. 374–381.
CIKM-2002-LouL #performance #predict #web: Efficient prediction of web accesses on a proxy server (WL, HL), pp. 169–176.
ICML-2002-GoebelRB #composition #performance #predict: A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance (MG, PJR, MB), pp. 211–218.
ICML-2002-WangW #modelling #predict #probability: Modeling for Optimal Probability Prediction (YW, IHW), pp. 650–657.
ICPR-v1-2002-WechslerDLC #bound #predict #using: Motion Prediction Using VC-Generalization Bounds (HW, ZD, FL, VC), pp. 151–154.
ICPR-v3-2002-GarciaFRF #image #performance #predict: Performance of the Kullback-Leibler Information Gain for Predicting Image Fidelity (JAG, JFV, RRS, XRFV), pp. 843–848.
ICPR-v3-2002-PeiC #adaptation #fault #novel #predict: Novel Error Concealment Method with Adaptive Prediction to the Abrupt and Gradual Scene Changes (SCP, YZC), pp. 827–830.
ICPR-v3-2002-XueG #classification #performance #predict #word: Performance Prediction for Handwritten Word Recognizers and Its Application to Classifier Combination (HX, VG), pp. 241–244.
KDD-2002-JoshiAK #predict #question: Predicting rare classes: can boosting make any weak learner strong? (MVJ, RCA, VK), pp. 297–306.
SEKE-2002-JorgensenM #development #how #predict #question #why: Combination of software development effort prediction intervals: why, when and how? (MJ, KM), pp. 425–428.
SIGIR-2002-ChenLS #predict: Predicting category accesses for a user in a structured information space (MC, ASL, JPS), pp. 65–72.
SIGIR-2002-Cronen-TownsendZC #performance #predict #query: Predicting query performance (SCT, YZ, WBC), pp. 299–306.
SAC-2002-DinakarpandianK #predict #proximity: BlOMIND-protein property prediction by property proximity profiles (DD, VK), pp. 168–172.
ASPLOS-2002-LiJSVR #comprehension #control flow #operating system #predict: Understanding and improving operating system effects in control flow prediction (TL, LKJ, AS, NV, JR), pp. 68–80.
HPCA-2002-KampeSD #analysis #branch #fourier #predict #using: The FAB Predictor: Using Fourier Analysis to Predict the Outcome of Conditional Branches (MK, PS, MD), pp. 223–232.
HPCA-2002-ParikhSZBS #branch #predict: Power Issues Related to Branch Prediction (DP, KS, YZ, MB, MRS), pp. 233–244.
HPDC-2002-TaylorWGS #kernel #parallel #performance #predict #using: Using Kernel Couplings to Predict Parallel Application Performance (VET, XW, JG, RLS), pp. 125–134.
HPDC-2002-VazhkudaiS #data transfer #grid #predict: Predicting Sporadic Grid Data Transfers (SV, JMS), p. 188–?.
CBSE-2001-Lau #certification #component #predict: Component Certification and System Prediction: Is There a Role for Formality (KKL), p. 16.
CBSE-2001-Schmidt #assembly #automation #component #predict #towards: Trusted Components: Towards Automated Assembly with Predictable Properties (HWS), p. 14.
HT-2001-MendesCM #development #hypermedia #predict #towards: Towards the prediction of development effort for hypermedia applications (EM, SC, NM), pp. 249–258.
ICDAR-2001-DehkordiSA #predict: Prediction of Handwriting Legibility (MED, NS, TA), pp. 997–1001.
VLDB-2001-CasatiDGS #comprehension #exception #predict #process #quality: Improving Business Process Quality through Exception Understanding, Prediction, and Prevention (DG, FC, UD, MCS), pp. 159–168.
CSMR-2001-Evanco #fault #modelling #predict: Prediction Models for Software Fault Correction Effort (WME), pp. 114–120.
ICSM-2001-MohapatraM #case study #fault #predict: Defect Prevention through Defect Prediction: A Case Study at Infosys (SM, BM), pp. 260–272.
ICSM-2001-PoloPR #case study #legacy #maintenance #metric #predict #source code #using: Using Code Metrics to Predict Maintenance of Legacy Programs: A Case Study (MP, MP, FR), pp. 202–208.
CHI-2001-JamesR #mobile #performance #predict: Text input for mobile devices: comparing model prediction to actual performance (CLJ, KMR), pp. 365–371.
CHI-2001-Salvucci #architecture #interface #predict #using: Predicting the effects of in-car interfaces on driver bahavior using a cognitive architecture (DDS), pp. 120–127.
CAiSE-2001-GeneroOPR #information management #maintenance #metric #object-oriented #predict #using: Using Metrics to Predict OO Information Systems Maintainability (MG, JAO, MP, FPR), pp. 388–401.
ICEIS-v1-2001-Edrees #predict: Expert Systems for Disordered Prediction (SAE), pp. 475–480.
CIKM-2001-BlokHCJBA #database #design #information retrieval #optimisation #predict #query #trade-off: Predicting the Cost-Quality Trade-Off for Information Retrieval Queries: Facilitating Database Design and Query Optimization (HEB, DH, SC, FdJ, HMB, PMGA), pp. 207–214.
ICML-2001-HamerlyE #predict: Bayesian approaches to failure prediction for disk drives (GH, CE), pp. 202–209.
ICML-2001-Hutter #bound #predict #sequence: General Loss Bounds for Universal Sequence Prediction (MH), pp. 210–217.
ICML-2001-LangfordSM #bound #classification #predict: An Improved Predictive Accuracy Bound for Averaging Classifiers (JL, MWS, NM), pp. 290–297.
KDD-2001-Agrarwal #modelling #predict: Applications of generalized support vector machines to predictive modeling (NA), p. 6.
KDD-2001-CadezSM #modelling #predict #probability #profiling #transaction #visualisation: Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction (IVC, PS, HM), pp. 37–46.
KDD-2001-RossetNEVI #evaluation #modelling #predict: Evaluation of prediction models for marketing campaigns (SR, EN, UE, NV, YI), pp. 456–461.
KDD-2001-YangZL #mining #modelling #predict #web: Mining web logs for prediction models in WWW caching and prefetching (QY, HHZ, ITYL), pp. 473–478.
SEKE-2001-GeneroOPR #diagrams #information management #maintenance #predict: Knowledge Discovery For Predicting Entity Relationship Diagram Maintainability (MG, JAO, MP, FPR), pp. 203–211.
SIGIR-2001-HoashiMIH #algorithm #collaboration #predict #query: Query Expansion Based on Predictive Algorithms for Collaborative Filtering (KH, KM, NI, KH), pp. 414–415.
SAC-2001-DeermanLP #algorithm #predict #problem #search-based: Linkage-learning genetic algorithm application to the protein structure prediction problem (KRD, GBL, RP), pp. 333–339.
HPCA-2001-GoemanVB #difference #performance #predict: Differential FCM: Increasing Value Prediction Accuracy by Improving Table Usage Efficiency (BG, HV, KDB), pp. 207–216.
HPCA-2001-JimenezL #branch #predict: Dynamic Branch Prediction with Perceptrons (DAJ, CL), pp. 197–206.
HPCA-2001-TuneLTC #predict: Dynamic Prediction of Critical Path Instructions (ET, DL, DMT, BC), pp. 185–195.
HPDC-2001-Dinda #online #predict: Online Prediction of the Running Time of Tasks (PAD), pp. 383–382.
SAT-2001-NuallainRB #behaviour #predict #satisfiability: Ensemble-based prediction of SAT search behaviour (BÓN, MdR, JvB), pp. 278–289.
DAC-2000-GhazalNR #performance #predict: Predicting performance potential of modern DSPs (NG, ARN, JMR), pp. 332–335.
DAC-2000-Sheehan #predict: Predicting coupled noise in RC circuits by matching 1, 2, and 3 moments (BNS), pp. 532–535.
DAC-2000-VelevB #branch #exception #functional #multi #predict #verification: Formal verification of superscale microprocessors with multicycle functional units, exception, and branch prediction (MNV, REB), pp. 112–117.
DATE-2000-Sheehan #predict: Predicting Coupled Noise in RC Circuits (BNS), pp. 517–521.
HT-2000-MendesH #development #predict #towards #web: Towards the prediction of development effort for web applications (EM, WH), pp. 242–243.
CSMR-2000-JorgensenSK #maintenance #predict: The Prediction Ability of Experienced Software Maintainers (MJ, DIKS, GK), pp. 93–100.
CHI-2000-ChiPP #predict #usability #web: The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a Web site (EHhC, PP, JEP), pp. 161–168.
CHI-2000-SilfverbergMK #mobile #predict: Predicting text entry speed on mobile phones (MS, ISM, PK), pp. 9–16.
AdaEurope-2000-BarrazaPCC #development #predict: An Application of the Chains-of-Rare-Events Model to Software Development Failure Prediction (NRB, JDP, BCF, FC), pp. 185–195.
ICML-2000-Scheffer #performance #predict: Predicting the Generalization Performance of Cross Validatory Model Selection Criteria (TS), pp. 831–838.
ICML-2000-SingerV #learning #modelling #performance #predict: Learning to Predict Performance from Formula Modeling and Training Data (BS, MMV), pp. 887–894.
ICPR-v1-2000-Fernandez-VidalRMC #image #predict #visual notation: Image Representational Model for Predicting Visual Distinctness of Objects (XRFV, RRS, JMB, JC), pp. 1689–1694.
ICPR-v2-2000-Caelli #feature model #image #learning #modelling #performance #predict: Learning Image Feature Extraction: Modeling, Tracking and Predicting Human Performance (TC), pp. 2215–2218.
ICPR-v2-2000-PolickerG #algorithm #clustering #fuzzy #predict: A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering (SP, ABG), pp. 2728–2731.
ICPR-v4-2000-BarretoBA #predict #visual notation: Model Predictive Control to Improve Visual Control of Motion: Applications in Active Tracking of Moving Targets (JPB, JB, HA), pp. 4732–4735.
KDD-2000-GerstenWA #case study #experience #modelling #predict #roadmap #tool support: Predictive modeling in automotive direct marketing: tools, experiences and open issues (WG, RW, DA), pp. 398–406.
KDD-2000-KingKCD #data mining #functional #mining #predict #sequence #using: Genome scale prediction of protein functional class from sequence using data mining (RDK, AK, AC, LD), pp. 384–389.
KDD-2000-RaghavanBS #detection #predict #process #using: Defection detection: using activity profiles to predict ISP customer vulnerability (NR, RMB, MS), pp. 506–515.
SIGIR-2000-AmentoTH #documentation #predict #quality #web: Does “authority” mean quality? predicting expert quality ratings of Web documents (BA, LGT, WCH), pp. 296–303.
SIGIR-2000-PragerBCR #predict: Question-answering by predictive annotation (JMP, EWB, AC, DRR), pp. 184–191.
SAC-2000-GoodwinM #data mining #mining #predict: Data Mining for Preterm Birth Prediction (LKG, SM), pp. 46–51.
SAC-2000-HaffnerREM #documentation #modelling #predict: Modeling of Time and Document Aging for Request Prediction — One Step Further (EGH, UR, TE, CM), pp. 984–990.
ICSE-2000-MiliCGZ00a #automation #predict #reuse: Tracking, predicting and assessing software reuse costs: an automated tool (AM, SFC, RG, LZ), p. 785.
ASPLOS-2000-DuesterwaldB #less is more #predict #profiling: Software Profiling for Hot Path Prediction: Less is More (ED, VB), pp. 202–211.
HPCA-2000-KaxirasY #communication #multi #predict: Coherence Communication Prediction in Shared-Memory Multiprocessors (SK, CY), pp. 156–167.
HPCA-2000-LeeWY #predict: Decoupled Value Prediction on Trace Processors (SJL, YW, PCY), pp. 231–240.
HPCA-2000-PatilE #alias #branch #predict: Combining Static and Dynamic Branch Prediction to Reduce Destructive Aliasing (HP, JSE), pp. 251–262.
HPDC-2000-ShenC #architecture #distributed #multi #performance #predict: A Distributed Multi-Storage Resource Architecture and I/O Performance Prediction for Scientific Computing (XS, ANC), pp. 21–30.
HPDC-2000-WangOCF #predict #using: Using Idle Workstations to Implement Predictive Prefetching (JYQW, JSO, YC, MJF), pp. 87–94.
DAC-1999-PomerleauFB #predict: Improved Selay Prediction for On-Chip Buses (RGP, PDF, GLB), pp. 497–501.
CSMR-1999-BengtssonB #architecture #maintenance #predict: Architecture Level Prediction of Software Maintenance (PB, JB), pp. 139–147.
ICSM-1999-KhoshgoftaarAYJH #experience #fault #legacy #metric #predict: Experience Paper: Preparing Measurements of Legacy Software for Predicting Operational Faults (TMK, EBA, XY, WDJ, JPH), p. 359–?.
CHI-1999-ToyodaS #editing #interface #multi #navigation #network #perspective #predict: Hyper Mochi Sheet: A Predictive Focusing Interface for Navigating and Editing Nested Networks Through a Multi-Focus Distortion-Oriented View (MT, ES), pp. 504–511.
HCI-CCAD-1999-Jacko #performance #predict: The importance of clinical diagnoses in the prediction of performance on computer-based tasks for low vision users (JAJ), pp. 787–791.
HCI-EI-1999-KolasinskiG #modelling #predict: An Investigation into the Predictive Modeling of VE Sickness (EMK, RDG), pp. 147–151.
SIGAda-1999-Boehm #future of #predict #re-engineering: Predicting the future of computer systems and software engineering (keynote address) (BWB), p. 227.
ICEIS-1999-Habrant #database #learning #network #predict #search-based: Structure Learning of Bayesian Networks from Databases by Genetic Algorithms-Application to Time Series Prediction in Finance (JH), pp. 225–231.
ICEIS-1999-Lu #database #modelling #parallel #performance #predict #process: Modelling Background Processes in Parallel Database Systems for Performance Prediction (KJL), pp. 101–108.
ICML-1999-BontempiBB #learning #predict: Local Learning for Iterated Time-Series Prediction (GB, MB, HB), pp. 32–38.
KDD-1999-MannilaPS #predict #using: Prediction with Local Patterns using Cross-Entropy (HM, DP, PS), pp. 357–361.
MLDM-1999-HongW #data mining #mining #predict: Advanced in Predictive Data Mining Methods (SJH, SMW), pp. 13–20.
ICSE-1999-BenlarbiM #metric #morphism #polymorphism #predict #risk management: Polymorphism Measures for Early Risk Prediction (SB, WLM), pp. 334–344.
ICSE-1999-ConcepcionLS #concurrent #development #monitoring #multi #predict #re-engineering #recursion #thread: The RMT (Recursive Multi-Threaded) Tool: A Computer Aided Software Engineering Tool for Monitoring and Predicting Software Development Progress (AIC, SL, SJS), pp. 660–663.
HPCA-1999-KaxirasG #performance #predict #using: Improving CC-NUMA Performance Using Instruction-Based Prediction (SK, JRG), pp. 161–170.
HPCA-1999-NakraGS #predict: Global Context-Based Value Prediction (TN, RG, MLS), pp. 4–12.
HPDC-1999-DindaO #evaluation #linear #modelling #predict: An Evaluation of Linear Models for Host Load Prediction (PAD, DRO), pp. 87–96.
HPDC-1999-KapadiaFB #grid #modelling #predict: Predictive Application-Performance Modeling in a Computational Grid Environment (NHK, JABF, CEB), pp. 47–54.
HPDC-1999-WolskiSH #cpu #grid #predict: Predicting the CPU Availability of Time-shared Unix Systems on the Computational Grid (RW, NTS, JH), pp. 105–112.
LCTES-1999-SchneiderF #abstract interpretation #behaviour #pipes and filters #predict: Pipeline Behavior Prediction for Superscalar Processors by Abstract Interpretation (JS, CF), pp. 35–44.
PPoPP-1999-BagrodiaDDP #parallel #performance #predict #scalability #simulation #using: Performance Prediction of Large Parallel Applications using Parallel Simulations (RB, ED, SD, TP), pp. 151–162.
PPoPP-1999-Sundaram-StukelV #analysis #predict #using: Predictive Analysis of a Wavefront Application using LogGP (DSS, MKV), pp. 141–150.
DATE-1998-NicolaidisD #design #multi #predict: Design of Fault-Secure Parity-Prediction Booth Multipliers (MN, RdOD), pp. 7–14.
DATE-1998-PrietoRGPHR #approach #design #fault #layout #predict #testing: An Approach to Realistic Fault Prediction and Layout Design for Testability in Analog Circuits (JAP, AR, IAG, EJP, JLH, AMDR), pp. 905–909.
WIA-1998-MaurelPR #automaton #predict: The Syntactic Prediction with Token Automata: Application to HandiAS System (DM, BLP, OR), pp. 100–109.
CSCW-1998-SarwarKBHMR #collaboration #predict #quality #research #using: Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System (BMS, JAK, AB, JLH, BNM, JR), pp. 345–354.
ICML-1998-NakamuraA #algorithm #collaboration #predict #using: Collaborative Filtering Using Weighted Majority Prediction Algorithms (AN, NA), pp. 395–403.
ICML-1998-Street #network #predict: A Neural Network Model for Prognostic Prediction (WNS), pp. 540–546.
KDD-1998-HandleyLR #learning #predict: Learning to Predict the Duration of an Automobile Trip (SH, PL, FAR), pp. 219–223.
KDD-1998-MegiddoS #predict: Discovering Predictive Association Rules (NM, RS), pp. 274–278.
KDD-1998-WeissH #learning #predict #sequence: Learning to Predict Rare Events in Event Sequences (GMW, HH), pp. 359–363.
KDD-1998-WuthrichPLCZL #predict: Daily Prediction of Major Stock Indices from Textual WWW Data (BW, DP, SL, VC, JZ, WL), pp. 364–368.
KR-1998-WhiteBH #modelling #predict: Building Models of Prediction Theories (GW, JB, WH), pp. 557–569.
SIGIR-1998-McNabWWG #predict #query: Predicting Query Times (RJM, YW, IHW, CG), pp. 355–356.
SIGIR-1998-VogtC #information retrieval #performance #predict: Predicting the Performance of Linearly Combined IR Systems (CCV, GWC), pp. 190–196.
ASPLOS-1998-StarkEP #branch #predict: Variable Length Path Branch Prediction (JS, ME, YNP), pp. 170–179.
HPDC-1998-HollingsworthK #adaptation #predict: Prediction and Adaptation in Active Harmony (JKH, PJK), pp. 180–188.
LCTES-1998-FerdinandW #behaviour #on the #predict #realtime: On Predicting Data Cache Behavior for Real-Time Systems (CF, RW), pp. 16–30.
DAC-1997-SambandamH #architecture #behaviour #design #embedded #predict #realtime: Predicting Timing Behavior in Architectural Design Exploration of Real-Time Embedded Systems (RSS, XH), pp. 157–160.
VLDB-1997-KraissW #documentation #migration #predict #scalability: Vertical Data Migration in Large Near-Line Document Archives Based on Markov-Chain Predictions (AK, GW), pp. 246–255.
ICSM-1997-NiessinkV #maintenance #predict: Predicting Maintenance Effort with Function Points (FN, HvV), pp. 32–39.
HCI-CC-1997-MatiasS #modelling #predict: Predictive Models of Carpal Tunnel Syndrome Among Office Personnel (ACM, GS), pp. 529–532.
HCI-CC-1997-Venda #analysis #communication #performance #predict: Ergodynamics in Analysis and Prediction of Communication Efficiency (VFV), pp. 833–836.
HCI-SEC-1997-LaugheryP #case study #performance #predict: Predicting Human Performance in Complex Systems-A Method and Case Study (KRLJ, BMP), pp. 75–78.
HCI-SEC-1997-So #bibliography #image #industrial #predict: Lag Compensation by Image Deflection and Prediction: A Review on the Potential Benefits to Virtual Training Applications for Manufacturing Industry (RHYS), pp. 997–1000.
ICML-1997-CardieN #predict #using: Improving Minority Class Prediction Using Case-Specific Feature Weights (CC, NN), pp. 57–65.
ICML-1997-CohenD #case study #comparative #fault #induction #logic programming #predict: A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction (WWC, PTD), pp. 66–74.
ICML-1997-MooreSD #performance #polynomial #predict: Efficient Locally Weighted Polynomial Regression Predictions (AWM, JGS, KD), pp. 236–244.
ICML-1997-SakrLCHG #data access #learning #memory management #modelling #multi #predict: Predicting Multiprocessor Memory Access Patterns with Learning Models (MFS, SPL, DMC, BGH, CLG), pp. 305–312.
SAC-1997-KaiserLMGP #algorithm #hybrid #predict #search-based: Polypeptide structure prediction: real-value versus binary hybrid genetic algorithms (CEK, GBL, LDM, GHGJ, RP), pp. 279–286.
SAC-1997-SongL #performance #predict #scheduling: Performance prediction based loop scheduling for heterogeneous computing environment (YS, WML), pp. 413–421.
ESEC-FSE-1997-Ebert #case study #development #experience #predict: Experiences with Criticality Predictions in Software Development (CE), pp. 278–293.
ICSE-1997-PighinZ #analysis #metric #predict #statistics: A Predictive Metric Based on Discriminant Statistical Analysis (MP, RZ), pp. 262–270.
HPCA-1997-AugustCGH #architecture #branch #predict: Architectural Support for Compiler-Synthesized Dynamic Branch Prediction Strategies: Rationale and Initial Results (DIA, DAC, JCG, WmWH), pp. 84–93.
HPCA-1997-WallaceB #branch #multi #predict: Multiple Branch and Block Prediction (SW, NB), pp. 94–103.
HPDC-1997-FigueiraB #predict: Predicting Slowdown for Networked Workstations (SMF, FB), pp. 92–101.
SOSP-1997-JonesRR #constraints #cpu #independence #performance #predict #process #scheduling: CPU Reservations and Time Constraints: Efficient, Predictable Scheduling of Independent Activities (MBJ, DR, MCR), pp. 198–211.
PODS-1996-TheodoridisS #performance #predict: A Model for the Prediction of R-tree Performance (YT, TKS), pp. 161–171.
SIGMOD-1996-LeflerSW #database #named #performance #predict #simulation: DBSim: A Simulation Tool for Predicting Database Performance (ML, MS, CW), p. 548.
SAS-1996-AltFMW #abstract interpretation #behaviour #predict: Cache Behavior Prediction by Abstract Interpretation (MA, CF, FM, RW), pp. 52–66.
AKDDM-1996-ApteH #predict: Predicting Equity Returns from Securities Data (CA, SJH), pp. 541–560.
ICML-1996-Ting #predict: The Characterisation of Predictive Accuracy and Decision Combination (KMT), pp. 498–506.
ICPR-1996-Garcia-SalicettiDGW #adaptation #online #predict #recognition #word: Adaptive discrimination in an HMM-based neural predictive system for on-line word recognition (SGS, BD, PG, ZW), pp. 515–519.
ICPR-1996-RebuffelS #estimation #framework #predict: Estimation of depth-from-motion combining iterative prediction scheme and regularization framework (VR, JLS), pp. 466–470.
ICPR-1996-StevensB #3d #multi #predict #recognition: Interleaving 3D model feature prediction and matching to support multi-sensor object recognition (MRS, JRB), pp. 607–611.
KDD-1996-KontkanenMT #data mining #finite #mining #predict: Predictive Data Mining with Finite Mixtures (PK, PM, HT), pp. 176–182.
KDD-1996-Lange #approach #empirical #predict #recursion #using: An Empirical Test of the Weighted Effect Approach to Generalized Prediction Using Recursive Neural Nets (RL), pp. 183–188.
KDD-1996-MasandP #comparison #modelling #predict: A Comparison of Approaches for Maximizing Business Payoff of Prediction Models (BMM, GPS), pp. 195–201.
SAC-1996-BaishE #modelling #predict #quality: Intelligent prediction techniques for software quality models (EB, CE), pp. 565–569.
SAC-1996-Cripps #performance #predict #using: Using artificial neural nets to predict academic performance (AC), pp. 33–37.
FSE-1996-RosenblumW #effectiveness #predict #testing: Predicting the Cost-Effectiveness of Regression Testing Strategies (DSR, EJW), pp. 118–126.
ICSE-1996-BasiliBCKMV #comprehension #maintenance #predict #process: Understanding and Predicting the Process of Software Maintenance Release (VRB, LCB, SEC, YMK, WLM, JDV), pp. 464–474.
ASPLOS-1996-ChenCM #analysis #branch #predict: Analysis of Branch Prediction Via Data Compression (ICKC, JTC, TNM), pp. 128–137.
ASPLOS-1996-LipastiWS #locality #predict: Value Locality and Load Value Prediction (MHL, CBW, JPS), pp. 138–147.
HPCA-1996-CalderGE #predict: Predictive Sequential Associative Cache (BC, DG, JSE), pp. 244–253.
ISSTA-1996-Hamlet #dependence #predict #testing: Predicting Dependability by Testing (RGH), pp. 84–91.
ICDAR-v1-1995-BlandoKN #image #predict #using: Prediction of OCR accuracy using simple image features (LRB, JK, TAN), pp. 319–322.
ICDAR-v1-1995-Garcia-SalicettiDGMF #markov #online #predict #recognition: A hidden Markov model extension of a neural predictive system for on-line character recognition (SGS, BD, PG, AM, DF), pp. 50–53.
PLDI-1995-CalderGLMMZ #branch #predict: Corpus-Based Static Branch Prediction (BC, DG, DCL, JHM, MM, BGZ), pp. 79–92.
PLDI-1995-Patterson #branch #predict: Accurate Static Branch Prediction by Value Range Propagation (JRCP), pp. 67–78.
STOC-1995-KivinenW #linear #predict: Additive versus exponentiated gradient updates for linear prediction (JK, MKW), pp. 209–218.
CHI-1995-KierasWM #architecture #modelling #predict #using: Predictive Engineering Models Using the EPIC Architecture for a High-Performance Task (DEK, SDW, DEM), pp. 11–18.
ICML-1995-StreetMW #approach #induction #learning #predict: An Inductive Learning Approach to Prognostic Prediction (WNS, OLM, WHW), pp. 522–530.
KDD-1995-CortesDHV #capacity #complexity #predict: Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates (CC, HD, DH, VV), pp. 51–56.
OOPSLA-1995-GroveDGC #predict: Profile-Guided Receiver Class Prediction (DG, JD, CG, CC), pp. 108–123.
LCT-RTS-1995-HuangL #concurrent #execution #predict #worst-case: Predicting the Worst-Case Execution Time of the Concurrent Execution of Instructions and Cycle-Stealing DMA I/O Operations (TYH, JWSL), pp. 1–6.
EDAC-1994-BrashearMOPM #analysis #performance #predict #statistics #using: Predicting Circuit Performance Using Circuit-level Statistical Timing Analysis (RBB, NM, CO, LTP, MRM), pp. 332–337.
SIGMOD-1994-DewanSHH #distributed #parallel #predict #query: Predictive Dynamic Load Balancing of Parallel and Distributed Rule and Query Processing (HMD, SJS, MAH, JJH), pp. 277–288.
ICSM-1994-KhoshgoftaarS #maintenance #predict: Improving Code Churn Predictions During the System Test and Maintenance Phases (TMK, RMS), pp. 58–67.
PLDI-1994-Krall #branch #predict #replication: Improving Semi-static Branch Prediction by Code Replication (AK), pp. 97–106.
PLDI-1994-Wang #performance #precise #predict: Precise Compile-Time Performance Prediction for Superscalar-Based Computers (KYW), pp. 73–84.
CHI-1994-MasuiN94b #editing #performance #predict: Repeat and predict — two keys to efficient text editing (TM, KN), pp. 118–123.
ICML-1994-AbeM #predict #probability: A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars (NA, HM), pp. 3–11.
KDD-1994-ApteH #generative #predict: Predicting Equity Returns from Securities Data with Minimal Rule Generation (CA, SJH), pp. 407–418.
ASPLOS-1994-YoungS #branch #correlation #predict #using: Improving the Accuracy of Static Branch Prediction Using Branch Correlation (CY, MDS), pp. 232–241.
HPDC-1994-SrbljicVB #consistency #distributed #memory management #performance #predict: Performance Prediction for Different Consistency Schemes in Distributed Shared Memory Systems (SS, ZGV, LB), pp. 295–302.
DAC-1993-ChanSZ #array #on the #predict #programmable: On Routability Prediction for Field-Programmable Gate Arrays (PKC, MDFS, JYZ), pp. 326–330.
VLDB-1993-Selinger #challenge #database #predict: Predictions and Challenges for Database Systems in the Year 2000 (PGS), pp. 667–675.
CSM-1993-KhoshgoftaarML #case study #comparative #maintenance #modelling #predict #testing: A Comparative Study of Predictive Models for Program Changes During System Testing and Maintenance (TMK, JCM, DLL), pp. 72–79.
PLDI-1993-BallL #branch #for free #predict: Branch Prediction For Free (TB, JRL), pp. 300–313.
HCI-ACS-1993-YufikSV #evaluation #performance #predict: Quantitative Evaluation and Performance Prediction (YMY, TBS, VFV), pp. 642–647.
CIKM-1993-LiZ #estimation #predict: An Information Model for Use in Software Management Estimation and Prediction (NRL, MVZ), pp. 481–489.
ICML-1993-Schwartz93a #predict #scheduling: ATM SCheduling with Queuing Dely Predictions (DBS), pp. 306–313.
SEKE-1993-Porter #classification #component #predict: Developing and Analyzing Classification Rules for Predicting Faulty Software Components (AAP), pp. 453–461.
SAC-1993-HashemiCST #monte carlo #network #paradigm #predict: Prediction Capability of Neural Networks Trained by Monte-Carlo Paradigm (RRH, AHC, NLS, JRT), pp. 9–13.
SAC-1993-Jeffay #paradigm #performance #predict #realtime: The Real-Time Producer/Consumer Paradigm: A Paradigm for the Construction of Efficient, Predictable Real-Time Systems (KJ), pp. 796–804.
SAC-1993-Jimenez-CedenoV #approach #communication #network #predict #realtime: Centralized Packet Radio Network: A Communication Approach Suited for Data Collection in a Real-Time Flash Flood Prediction System (MJC, RVE), pp. 709–713.
SAC-1993-ShenDU #data flow #predict: Packet Delay Prediction in Datagram Mesh Systems (ZS, PGD, LU), pp. 539–545.
PEPM-1992-Malmkjaer #predict #source code: Predicting Properties of Residual Programs (KM), pp. 8–13.
CHI-1992-MarcusNRSV #predict #user interface: Sci-fi at CHI: Cyberpunk novelists predict future user interfaces (AM, DAN, RR, BS, VV), pp. 435–437.
AdaEurope-1992-Lundberg #ada #parallel #predict #source code: Predicting the Speedup of Parallel Ada Programs (LL), pp. 257–274.
ML-1992-Christiansen #learning #nondeterminism #predict: Learning to Predict in Uncertain Continuous Tasks (ADC), pp. 72–81.
SEKE-1992-WatsonBB #development #knowledge-based #maintenance #predict: The Development of a Knowledge-Based System for Predicting Strategic Building Maintenance (IW, PB, AB), pp. 356–363.
ASPLOS-1992-FisherF #branch #predict: Predicting Conditional Branch Directions From Previous Runs of a Program (JAF, SMF), pp. 85–95.
ASPLOS-1992-PanSR #branch #correlation #predict #using: Improving the Accuracy of Dynamic Branch Prediction Using Branch Correlation (STP, KS, JTR), pp. 76–84.
DAC-1991-SutanthavibulS #predict: Dynamic Prediction of Critical Paths and Nets for Constructive Timing-Driven Placement (SS, ES), pp. 632–635.
VLDB-1991-FaloutsosNS #flexibility #predict: Predictive Load Control for Flexible Buffer Allocation (CF, RTN, TKS), pp. 265–274.
PLDI-1991-Wall #behaviour #predict #using: Predicting Program Behavior Using Real or Estimated Profiles (DWW), pp. 59–70.
Best-of-PLDI-1991-Wall91a #behaviour #predict #using: Predicting program behavior using real or estimated profiles (with retrospective) (DWW), pp. 429–441.
CHI-1991-HowesY #predict: Predicting the learnability of task-action mappings (AH, RMY), pp. 113–118.
ML-1991-Walczak #induction #performance #predict: Predicting Actions from Induction on Past Performance (SW), pp. 275–279.
ESEC-1991-Voas #impact analysis #predict: A Dynamic Failure Model for Predicting the Impact that a Program Location has on the Program (JMV), pp. 308–331.
CHI-1990-YoungW #analysis #concept #fault #predict #using: Using a knowledge analysis to predict conceptual errors in text-editor usage (RMY, JW), pp. 91–98.
SEKE-1990-Clark #predict: A State Space Model for Currency Exchange Rate Prediction (JC), pp. 267–271.
PPoPP-1990-ChangE #functional #implementation #predict: An Implementation of a Barotropic Numerical Weather Prediction Model in the Functional Language SISAL (PSC, GKE), pp. 109–117.
CHI-1989-YoungGS #design #evaluation #interface #modelling #predict #programmable: Programmable user models for predictive evaluation of interface designs (RMY, TRGG, TJS), pp. 15–19.
KR-1989-Rayner #predict #problem #question: Did Newton Solve the “Extended Prediction Problem”? (MR), pp. 381–385.
ML-1988-FisherS #concept #predict: Concept Simplification and Prediction Accuracy (DHF, JCS), pp. 22–28.
DAC-1987-JainPP #design #pipes and filters #predict #trade-off: Predicting Area-Time Tradeoffs for Pipelined Design (RJ, ACP, NP), pp. 35–41.
DAC-1987-MinaiWB #approach #evaluation #heuristic #predict: A Discrete Heuristics Approach to Predictive Evaluation of Semi-Custom IC Layouts (AAM, RDW, FWB), pp. 770–776.
HCI-SES-1987-RuthG #predict: Examining the Silent Majority: A Current Perspective on Predictive Variables Associated with Managerial and Clerical ADP Users (SRR, EPG), pp. 311–318.
SIGIR-1987-RaitaT #predict: Predictive Text Compression by Hashing (TR, JT), pp. 223–233.
SIGIR-1986-TeuholaR #predict #using: Text Compression Using Prediction (JT, TR), pp. 97–102.
ICSE-1985-TakahashiK #empirical #fault #predict: An Empirical Study of a Model for Program Error Prediction (MT, YK), pp. 330–336.
VLDB-1981-Sevcik #database #performance #predict #using: Data Base System Performance Prediction Using an Analytical Model (Invited Paper) (KCS), pp. 182–198.
SCC-1979-Ball #optimisation #predict: Predicting the effects of optimization on a procedure body (JEB), pp. 214–220.
ICSE-1979-CurtisSM #complexity #metric #performance #predict #replication: Third Time Charm: Stronger Replication of the Ability of Software Complexity Metrics to Predict Programmer Performance (BC, SBS, PM), pp. 356–360.
ICSE-1979-RemusZ #predict #quality: Prediction and Management of Program Quality (HR, SNZ), pp. 341–350.
DAC-1977-HellerMD #predict #requirements: Prediction of wiring space requirements for LSI (WRH, WFM, WED), pp. 32–42.
ICSE-1976-Shooman #modelling #predict #reliability: Structural Models for Software Reliability Prediction (MLS), pp. 268–280.
DAC-1975-Fike #design #detection #fault #predict #question: Predicting fault detectability in combinational circuits — a new design tool? (JLF), pp. 290–295.
STOC-1975-EhrenfeuchtR #formal method #on the #predict: On (Un)predictability of Formal Languages (Extended Abstract) (AE, GR), pp. 117–120.
DAC-1973-PillingS #logic #predict: Computer-aided prediction of delays in LSI logic systems (DJP, HBS), pp. 182–186.
DAC-1969-Radke #predict: A justification of, and an improvement on, a useful rule for predicting circuit-to-pin ratios (CER), pp. 257–267.