BibSLEIGH — scalability tag

scalability

scalability

Tag #scalability

3391 papers:

ASPLOS-2020-MinBLNK #architecture #effectiveness #named #performance: CryoCache: A Fast, Large, and Cost-Effective Cache Architecture for Cryogenic Computing (DM, IB, GhL, SN, JK), pp. 449–464.
CC-2020-FegadeW #analysis #data type #modelling #pointer #semantics #using: Scalable pointer analysis of data structures using semantic models (PF, CW), pp. 39–50.
CC-2020-ThakurN #context-sensitive grammar: Mix your contexts well: opportunities unleashed by recent advances in scaling context-sensitivity (MT, VKN), pp. 27–38.
CGO-2020-KangCP #framework #named #performance #precise: PreScaler: an efficient system-aware precision scaling framework on heterogeneous systems (SK, KC, YP), pp. 280–292.
CGO-2020-WangYZM #hardware #memory management #performance #transaction: Efficient and scalable cross-ISA virtualization of hardware transactional memory (WW, PCY, AZ, SM), pp. 107–120.
EDM-2019-ChenLFG #online #predict #student #tutorial: Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial Dialogues (GC, DL, RF, DG).
EDM-2019-ChristieJOT: Machine-Learned School Dropout Early Warning at Scale (STC, DCJ, LAO, TTT).
ICPC-2019-LevyF #comprehension #perspective: Understanding large-scale software: a hierarchical view (OL, DGF), pp. 283–293.
ICPC-2019-WenNBL #consistency #empirical #nondeterminism: A large-scale empirical study on code-comment inconsistencies (FW, CN0, GB, ML), pp. 53–64.
ICSME-2019-LevinY #dataset #source code: Processing Large Datasets of Fined Grained Source Code Changes (SL, AY), pp. 382–385.
ICSME-2019-Wright #lessons learnt #refactoring: Lessons Learned from Large-Scale Refactoring (HW), p. 366.
MSR-2019-GoteSS #git #mining #named #network #repository: git2net: mining time-stamped co-editing networks from large git repositories (CG, IS, FS), pp. 433–444.
MSR-2019-Owhadi-KareshkN: Scalable software merging studies with MergAnser (MOK, SN), pp. 560–564.
MSR-2019-PimentelMBF #quality: A large-scale study about quality and reproducibility of jupyter notebooks (JFP, LM, VB, JF), pp. 507–517.
MSR-2019-Rua0S #android #energy #metric #named #testing: GreenSource: a large-scale collection of Android code, tests and energy metrics (RR, MC0, JS), pp. 176–180.
SANER-2019-FengMYXBWWTXSLH #open source: Open-Source License Violations of Binary Software at Large Scale (MF, WM, ZY, YX, GB, WW, SW, QT, JX, HS, BL, WH), pp. 564–568.
SANER-2019-WlodarskiPPFZ #exclamation #legacy: Qualify First! A Large Scale Modernisation Report (LW, BP, IP, JF, VZ), pp. 569–573.
SCAM-2019-PaixaoM #code review #empirical #harmful #overview: Rebasing in Code Review Considered Harmful: A Large-Scale Empirical Investigation (MP, PHMM), pp. 45–55.
SCAM-2019-TiwariPG0 #analysis #android #named #web: LUDroid: A Large Scale Analysis of Android - Web Hybridization (AT, JP, SG, CH0), pp. 256–267.
FM-2019-SuP0 #network: Controlling Large Boolean Networks with Temporary and Permanent Perturbations (CS, SP, JP0), pp. 707–724.
CoG-2019-AmarTAM #multi #towards: Towards Cheap Scalable Browser Multiplayer (YA, GT, GA, LM), pp. 1–4.
CoG-2019-KantharajuOG #monte carlo #recognition: Scaling up CCG-Based Plan Recognition via Monte-Carlo Tree Search (PK, SO, CWG), pp. 1–8.
FDG-2019-Poor #community #game studies #online #product line: Building and sustaining large, long-term online communities: family business and gamifying the game (NP), p. 12.
CIKM-2019-BoiarovT #learning #metric #recognition: Large Scale Landmark Recognition via Deep Metric Learning (AB, ET), pp. 169–178.
CIKM-2019-ChenMLZM #dataset #named #web: TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search Sessions (JC, JM, YL, MZ0, SM), pp. 2485–2488.
CIKM-2019-FanBSL #classification #fine-grained #network #prototype: Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features (MF, YB, MS, PL0), pp. 2353–2356.
CIKM-2019-FanHZLLW #learning #named: MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data (MF, JH, AZ, YL, PL0, HW), pp. 2655–2663.
CIKM-2019-KangM #generative #recommendation: Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation (WCK, JJM), pp. 1523–1532.
CIKM-2019-LvJYSLYN #named #online #recommendation: SDM: Sequential Deep Matching Model for Online Large-scale Recommender System (FL, TJ, CY, FS, QL, KY, WN), pp. 2635–2643.
CIKM-2019-WuH #network: Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy (JW, JH), pp. 2101–2104.
CIKM-2019-XuHY #graph #learning #network: Scalable Causal Graph Learning through a Deep Neural Network (CX, HH, SY), pp. 1853–1862.
CIKM-2019-ZhaoPZZWZXJ #distributed #graph #visual notation: Large-Scale Visual Search with Binary Distributed Graph at Alibaba (KZ, PP, YZ, YZ, CW, YZ, YX, RJ), pp. 2567–2575.
ICML-2019-AndertonA #approach: Scaling Up Ordinal Embedding: A Landmark Approach (JA, JAA), pp. 282–290.
ICML-2019-BackursIOSVW #clustering: Scalable Fair Clustering (AB, PI, KO, BS, AV, TW), pp. 405–413.
ICML-2019-ChenXHY #named #problem: Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number (ZC, YX, HH, TY), pp. 1102–1111.
ICML-2019-ChenYWLYLL #multi: Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching (ZC, ZY, XW, XL, XY, GL, LL), pp. 1112–1121.
ICML-2019-CornishVBDD #dataset: Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets (RC, PV, ABC, GD, AD), pp. 1351–1360.
ICML-2019-FongLH #multimodal #parametricity: Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap (EF, SL, CCH), pp. 1952–1962.
ICML-2019-JangJ #clustering #performance #towards: DBSCAN++: Towards fast and scalable density clustering (JJ, HJ), pp. 3019–3029.
ICML-2019-KurachLZMG #normalisation: A Large-Scale Study on Regularization and Normalization in GANs (KK, ML, XZ, MM, SG), pp. 3581–3590.
ICML-2019-MagnussonAJV: Bayesian leave-one-out cross-validation for large data (MM, MRA, JJ, AV), pp. 4244–4253.
ICML-2019-OglicG #kernel #learning: Scalable Learning in Reproducing Kernel Krein Spaces (DO, TG0), pp. 4912–4921.
ICML-2019-ShiK0 #modelling #network: Scalable Training of Inference Networks for Gaussian-Process Models (JS, MEK, JZ0), pp. 5758–5768.
ICML-2019-TanL #named #network: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (MT, QVL), pp. 6105–6114.
ICML-2019-TiomokoCBG #estimation #matrix #metric #random: Random Matrix Improved Covariance Estimation for a Large Class of Metrics (MT, RC, FB, GG), pp. 6254–6263.
ICML-2019-UurtioBR #analysis #canonical #correlation #kernel: Large-Scale Sparse Kernel Canonical Correlation Analysis (VU, SB, JR), pp. 6383–6391.
ICML-2019-XieCJZZ #on the #performance: On Scalable and Efficient Computation of Large Scale Optimal Transport (YX, MC, HJ, TZ, HZ), pp. 6882–6892.
KDD-2019-0009ZGZNQH #framework #graph #named #recommendation: IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation (JZ0, ZZ, ZG, WZ0, WN, GQ, XH), pp. 2347–2357.
KDD-2019-AroraC0KLLMTTW: Hard to Park?: Estimating Parking Difficulty at Scale (NA, JC, RK0, IK, YL, HJL, AM, AT, IT, YW), pp. 2296–2304.
KDD-2019-Chang #clique #graph #performance: Efficient Maximum Clique Computation over Large Sparse Graphs (LC), pp. 529–538.
KDD-2019-ChiangLSLBH #algorithm #clustering #graph #named #network #performance: Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks (WLC, XL, SS, YL0, SB, CJH), pp. 257–266.
KDD-2019-FoucheKB #algorithm #multi: Scaling Multi-Armed Bandit Algorithms (EF, JK, KB), pp. 1449–1459.
KDD-2019-HwangLVGXN #framework #video: Large-Scale Training Framework for Video Annotation (SJH, JL, BV, AG, ZX, AN), pp. 2394–2402.
KDD-2019-LiX #data mining #mining #named #privacy: PrivPy: General and Scalable Privacy-Preserving Data Mining (YL, WX), pp. 1299–1307.
KDD-2019-MaZXLCXWW #comprehension #framework: Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework (XM, LZ, LX, ZL, GC, ZX, YW, ZW), pp. 2403–2411.
KDD-2019-MonathKKGM #clustering: Scalable Hierarchical Clustering with Tree Grafting (NM, AK, AK, MRG, AM), pp. 1438–1448.
KDD-2019-MoosaviS00R: Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data (SM, MHS, AN0, SP0, RR), pp. 2905–2913.
KDD-2019-PasumarthiBWLBN #library #named #ranking: TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank (RKP, SB, XW, CL0, MB, MN, JP, NG, RA, SW), pp. 2970–2978.
KDD-2019-RamanSMZYV #hybrid #parallel: Scaling Multinomial Logistic Regression via Hybrid Parallelism (PR, SS, SM, XZ, HY, SVNV), pp. 1460–1470.
KDD-2019-Ramdas: Foundations of Large-Scale Sequential Experimentation (AR), pp. 3211–3212.
KDD-2019-Sundaresan #developer: From Code to Data: AI at Scale for Developer Productivity (NS), p. 3175.
KDD-2019-TangBMLLK #classification #e-commerce #image #named: MSURU: Large Scale E-commerce Image Classification with Weakly Supervised Search Data (YT, FB, SM, YL, YL, SK), pp. 2518–2526.
KDD-2019-Thondikulam #approach #ml: Analytics Journey Map: An Approach Enable to ML at Scale (GT), p. 3167.
KDD-2019-TranS #feature model #predict: Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs (TQT, JS), pp. 2857–2866.
KDD-2019-WuYZXZPXA #graph #kernel #random #using: Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding (LW, IEHY, ZZ0, KX, LZ0, XP0, YX, CCA), pp. 1418–1428.
KDD-2019-YangZZX0 #adaptation #capacity #incremental #learning #modelling: Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability (YY, DWZ, DCZ, HX, YJ0), pp. 74–82.
KDD-2019-YinW #graph: Scalable Graph Embeddings via Sparse Transpose Proximities (YY, ZW), pp. 1429–1437.
KDD-2019-ZhangLTDYZGWSLW #graph #named #towards: OAG: Toward Linking Large-scale Heterogeneous Entity Graphs (FZ, XL, JT, YD, PY, JZ, XG, YW, BS, RL, KW), pp. 2585–2595.
KDD-2019-ZheSX #community #detection #network: Community Detection on Large Complex Attribute Network (CZ, AS, XX), pp. 2041–2049.
ECOOP-2019-VillazonSRRBDOB #automation #multi #program analysis: Automated Large-Scale Multi-Language Dynamic Program Analysis in the Wild (Tool Insights Paper) (AV, HS, AR, ER, DB, ID, SO, WB), p. 27.
OOPSLA-2019-KrikavaMV #scala #using: Scala implicits are everywhere: a large-scale study of the use of Scala implicits in the wild (FK, HM, JV), p. 28.
OOPSLA-2019-SongLO #automation #detection #fault #functional #logic #programming: Automatic and scalable detection of logical errors in functional programming assignments (DS, ML, HO), p. 30.
PLDI-2019-ChibotaruBRV #specification: Scalable taint specification inference with big code (VC, BB, VR, MTV), pp. 760–774.
PLDI-2019-SmolkaKKFHK0 #network #probability #verification: Scalable verification of probabilistic networks (SS, PK0, DMK, NF, JH, DK, AS0), pp. 190–203.
PLDI-2019-VasilakisKPSDS #named: Ignis: scaling distribution-oblivious systems with light-touch distribution (NV, BK, YP, JS, AD, JMS), pp. 1010–1026.
ASE-2019-ChenD0Q #comprehension #debugging: Understanding Exception-Related Bugs in Large-Scale Cloud Systems (HC, WD, YJ0, FQ), pp. 339–351.
ASE-2019-ChenHLZHGXDZ #online: Continuous Incident Triage for Large-Scale Online Service Systems (JC, XH, QL, HZ, DH, FG, ZX, YD, DZ), pp. 364–375.
ASE-2019-DavisMKL #metric #regular expression #testing: Testing Regex Generalizability And Its Implications: A Large-Scale Many-Language Measurement Study (JCD, DM, AMK, DL), pp. 427–439.
ASE-2019-ZamanHY #concurrent #fault #named: SCMiner: Localizing System-Level Concurrency Faults from Large System Call Traces (TSZ, XH, TY), pp. 515–526.
ASE-2019-ZhengLZLZD #detection #feedback #named #online #realtime: iFeedback: Exploiting User Feedback for Real-Time Issue Detection in Large-Scale Online Service Systems (WZ, HL, YZ, JL, HZ, YD), pp. 352–363.
ESEC-FSE-2019-AsthanaKBBBMMA #automation #named: WhoDo: automating reviewer suggestions at scale (SA, RK0, RB, CB, CB, CSM, SM, BA), pp. 937–945.
ESEC-FSE-2019-BabicBCIKKLSW #generative #named: FUDGE: fuzz driver generation at scale (DB, SB, YC, FI, TK, MK, CL, LS, WW), pp. 975–985.
ESEC-FSE-2019-BagherzadehK #big data #developer #what: Going big: a large-scale study on what big data developers ask (MB, RK), pp. 432–442.
ESEC-FSE-2019-DurieuxDMA #debugging #empirical #java #overview #program repair #tool support: Empirical review of Java program repair tools: a large-scale experiment on 2, 141 bugs and 23, 551 repair attempts (TD, FM, MM, RA), pp. 302–313.
ESEC-FSE-2019-Fu #analysis #distributed #on the: On the scalable dynamic taint analysis for distributed systems (XF), pp. 1247–1249.
ESEC-FSE-2019-He #comprehension #source code: Understanding source code comments at large-scale (HH), pp. 1217–1219.
ESEC-FSE-2019-MaddilaBN #case study #predict: Predicting pull request completion time: a case study on large scale cloud services (CSM, CB, NN), pp. 874–882.
ESEC-FSE-2019-Zhang0C0Z #compilation #empirical #fault #integration: A large-scale empirical study of compiler errors in continuous integration (CZ, BC0, LC, XP0, WZ), pp. 176–187.
ICSE-2019-CrucianiMVB #reduction #testing: Scalable approaches for test suite reduction (EC, BM, RV, AB), pp. 419–429.
ICSE-2019-FanWS0ZZ #detection #memory management #named: Smoke: scalable path-sensitive memory leak detection for millions of lines of code (GF, RW, QS, XX0, JZ, CZ), pp. 72–82.
ICSE-2019-Ketkar0MDA #migration: Type migration in ultra-large-scale codebases (AK, AM0, DM, DD, EA), pp. 1142–1153.
ICSE-2019-PhilipBKMN #named #online: FastLane: test minimization for rapidly deployed large-scale online services (AAP, RB, RK0, CSM, NN), pp. 408–418.
ASPLOS-2019-GaoYPHK #data flow #named: TANGRAM: Optimized Coarse-Grained Dataflow for Scalable NN Accelerators (MG, XY, JP, MH, CK), pp. 807–820.
ASPLOS-2019-JiangSF0 #approach #parallel: Scalable Processing of Contemporary Semi-Structured Data on Commodity Parallel Processors - A Compilation-based Approach (LJ, XS, UF, ZZ0), pp. 79–92.
ASPLOS-2019-KimMKRM #multi #named: MV-RLU: Scaling Read-Log-Update with Multi-Versioning (JK, AM, SK, MKR, CM), pp. 779–792.
ASPLOS-2019-ZhangZWLFZS #framework #performance: Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure (XZ, XZ, ZW0, QL0, JF, YZ, YS), pp. 93–105.
CASE-2019-KrupkeSHPDGLSHK #automation #distributed #retrieval: Automated Data Retrieval from Large-Scale Distributed Satellite Systems (DK, VS, AH, MP, JD, BG, MKBL, ES, TH, HK, KFP, MC, CS, SPF), pp. 1789–1795.
CASE-2019-RiaziDFBL #flexibility #scheduling: Scheduling and Routing of AGVs for Large-scale Flexible Manufacturing Systems (SR, TD, PF, KB, BL), pp. 891–896.
CASE-2019-WangJRH #image #realtime #using: Real-time control for large scale additive manufacturing using thermal images (FW, FJ, KR, NH), pp. 36–41.
CASE-2019-WarsewaBRST #design #distributed #using: Decentralized and Distributed Observer Design for Large-Scale Structures using Dynamic Condensation (AW, MB, PR, OS, CT), pp. 1256–1262.
CC-2019-ThakurN #analysis: Compare less, defer more: scaling value-contexts based whole-program heap analyses (MT, VKN), pp. 135–146.
CADE-2019-Tammet #knowledge base #named #reasoning: GKC: A Reasoning System for Large Knowledge Bases (TT), pp. 538–549.
ICST-2019-JendeleSCJR #automation #composition #performance: Efficient Automated Decomposition of Build Targets at Large-Scale (LJ, MS, DC, IJ, MR), pp. 457–464.
ICST-2019-SaumyaK0B #automation #generative #testing #worst-case: XSTRESSOR : Automatic Generation of Large-Scale Worst-Case Test Inputs by Inferring Path Conditions (CS, JK, MK0, SB), pp. 1–12.
ICST-2019-ZhongZK #named #testing #web #web service: TestSage: Regression Test Selection for Large-Scale Web Service Testing (HZ, LZ, SK), pp. 430–440.
VMCAI-2019-LopesR #performance #simulation: Fast BGP Simulation of Large Datacenters (NPL, AR), pp. 386–408.
ECSA-2018-BuchgeherWH #architecture #automation #framework #platform: A Platform for the Automated Provisioning of Architecture Information for Large-Scale Service-Oriented Software Systems (GB, RW, HH), pp. 203–218.
ECSA-2018-MartiniFBR #architecture #case study #identification #smell: Identifying and Prioritizing Architectural Debt Through Architectural Smells: A Case Study in a Large Software Company (AM, FAF, AB, RR), pp. 320–335.
ICSA-2018-GuptaUBDRF #framework #platform: The Anatomy of a Large-Scale Experimentation Platform (SG, LU, SB, PAD, PR, AF), pp. 1–10.
ICSA-2018-LiuBDKRRSH #automation #execution #framework #simulation #workflow: A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows (JL, EB, CD, PK, DSR, MR, DS, VH), pp. 145–155.
EDM-2018-ChenLCBC #analysis #behaviour #learning: Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner Clickstreams (WC, ASL, DC, CGB, MC).
ICPC-2018-ScarsbrookKR0 #debugging #javascript #named #visualisation: MetropolJS: visualizing and debugging large-scale javascript program structure with treemaps (JDS, RKLK, BR, DB0), pp. 389–392.
ICSME-2018-AghajaniNBL #api #empirical: A Large-Scale Empirical Study on Linguistic Antipatterns Affecting APIs (EA, CN0, GB, ML), pp. 25–35.
MSR-2018-CohenC08 #analysis #developer #git #repository: Large-scale analysis of the co-commit patterns of the active developers in github's top repositories (EC, MPC), pp. 426–436.
MSR-2018-NayrollesH #clone detection #detection #fault #industrial #metric #named: CLEVER: combining code metrics with clone detection for just-in-time fault prevention and resolution in large industrial projects (MN, AHL), pp. 153–164.
MSR-2018-SahaLLYP #dataset #debugging #java: Bugs.jar: a large-scale, diverse dataset of real-world Java bugs (RKS, YL, WL, HY, MRP), pp. 10–13.
MSR-2018-WangLL0X #android #empirical #game studies #why: Why are Android apps removed from Google Play?: a large-scale empirical study (HW, HL, LL0, YG0, GX), pp. 231–242.
SANER-2018-KirbasCHCB0B #fault #industrial: The relationship between evolutionary coupling and defects in large industrial software (journal-first abstract) (SK, BC, TH, SC, DB, AS0, AB), p. 471.
SANER-2018-LeemansAB18a #analysis #mining #process #statechart #using: The Statechart Workbench: Enabling scalable software event log analysis using process mining (ML, WMPvdA, MGJvdB), pp. 502–506.
CIG-2018-AungBDCKYW #dataset #learning #predict: Predicting Skill Learning in a Large, Longitudinal MOBA Dataset (MA, VB, AD, PIC, AVK, CY, ARW), pp. 1–7.
ICGJ-2018-WirmanJ: Regional Character at a Large-Scale Jam: GGJ Hong Kong 2013-2018 (HW, RJ), pp. 48–51.
CIKM-2018-AfsharPPSHS #dataset #named: COPA: Constrained PARAFAC2 for Sparse & Large Datasets (AA, IP, EEP, ES, JCH, JS), pp. 793–802.
CIKM-2018-ANR #algorithm #generative #higher-order #using: A Scalable Algorithm for Higher-order Features Generation using MinHash (PA, NN, RR), pp. 1213–1222.
CIKM-2018-DingZB0 #graph #privacy: Privacy-Preserving Triangle Counting in Large Graphs (XD, XZ, ZB, HJ0), pp. 1283–1292.
CIKM-2018-Elghandour0OV #incremental #query: Incremental Techniques for Large-Scale Dynamic Query Processing (IE, AK0, DO, SV), pp. 2297–2298.
CIKM-2018-LiLAL #industrial #multi #named: CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU (HL0, KL, JyA, KL0), pp. 1113–1122.
CIKM-2018-LinmansVK #detection #robust #semantics #using #web: Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions (JL, BvdV, EK), pp. 1647–1650.
CIKM-2018-NidzwetzkiG #big data #multi: BBoxDB - A Scalable Data Store for Multi-Dimensional Big Data (JKN, RHG), pp. 1867–1870.
CIKM-2018-RepkeKEHHKSSZ #corpus #email #interactive: Beacon in the Dark: A System for Interactive Exploration of Large Email Corpora (TR, RK, JE, MH, JH, DK, HS, NS, AZ), pp. 1871–1874.
CIKM-2018-WangYWJZZW #data mining #graph #mining #named: AceKG: A Large-scale Knowledge Graph for Academic Data Mining (RW, YY, JW, YJ, YZ, WZ0, XW), pp. 1487–1490.
CIKM-2018-ZhangNCC #database #parallel #probability #using: Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases (YZ, KSN, TC, PC), pp. 2213–2221.
ICML-2018-0001ZK #constraints #privacy #summary: Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints (EK0, MZ, AK), pp. 2549–2558.
ICML-2018-AghazadehSLDSB #feature model #named #sketching #using: MISSION: Ultra Large-Scale Feature Selection using Count-Sketches (AA, RS, DL, GD, AS, RGB), pp. 80–88.
ICML-2018-AgrawalUB #graph #modelling: Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models (RA, CU, TB), pp. 89–98.
ICML-2018-Alabdulmohsin #empirical #optimisation: Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization (IMA), pp. 149–158.
ICML-2018-CalandrielloKLV #graph #learning: Improved Large-Scale Graph Learning through Ridge Spectral Sparsification (DC, IK, AL, MV), pp. 687–696.
ICML-2018-ChenLW #learning #using: Scalable Bilinear Learning Using State and Action Features (YC, LL0, MW), pp. 833–842.
ICML-2018-ChoromanskiRSTW #architecture #evolution #optimisation #policy: Structured Evolution with Compact Architectures for Scalable Policy Optimization (KC, MR, VS, RET, AW), pp. 969–977.
ICML-2018-EspeholtSMSMWDF #architecture #distributed #named: IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures (LE, HS, RM, KS, VM, TW, YD, VF, TH, ID, SL, KK), pp. 1406–1415.
ICML-2018-EvansN #process: Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF) (TWE, PBN), pp. 1416–1425.
ICML-2018-FalknerKH #named #optimisation #performance #robust: BOHB: Robust and Efficient Hyperparameter Optimization at Scale (SF, AK, FH), pp. 1436–1445.
ICML-2018-GibsonG #modelling #robust: Robust and Scalable Models of Microbiome Dynamics (TEG, GKG), pp. 1758–1767.
ICML-2018-HanHZ #classification #estimation #multi #problem: Candidates vs. Noises Estimation for Large Multi-Class Classification Problem (LH, YH, TZ), pp. 1885–1894.
ICML-2018-JohnH #fourier #process #using: Large-Scale Cox Process Inference using Variational Fourier Features (STJ, JH), pp. 2367–2375.
ICML-2018-KhanNTLGS #learning #performance: Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam (MEK, DN, VT, WL, YG, AS), pp. 2616–2625.
ICML-2018-LiuCWO #process #robust: Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression (HL, JC, YW, YSO), pp. 3137–3146.
ICML-2018-LoukasV #approximate #graph: Spectrally Approximating Large Graphs with Smaller Graphs (AL, PV), pp. 3243–3252.
ICML-2018-Mitrovic0ZK #approach #summary: Data Summarization at Scale: A Two-Stage Submodular Approach (MM, EK0, MZ, AK), pp. 3593–3602.
ICML-2018-QiaoZ0WY #image #network #recognition: Gradually Updated Neural Networks for Large-Scale Image Recognition (SQ, ZZ, WS0, BW0, ALY), pp. 4185–4194.
ICML-2018-RuizTDB #category theory #probability: Augment and Reduce: Stochastic Inference for Large Categorical Distributions (FJRR, MKT, ABD, DMB), pp. 4400–4409.
ICML-2018-SaCW #modelling #visual notation: Minibatch Gibbs Sampling on Large Graphical Models (CDS, VC, WW), pp. 1173–1181.
ICML-2018-Schwarz0LGTPH #framework #learning: Progress & Compress: A scalable framework for continual learning (JS, WC0, JL, AGB, YWT, RP, RH), pp. 4535–4544.
ICML-2018-SunP #approximate: Scalable Approximate Bayesian Inference for Particle Tracking Data (RS, LP), pp. 4807–4816.
ICML-2018-WangSQ #learning #modelling #multi #performance #visual notation: A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models (BW, AS, YQ), pp. 5148–5157.
ICML-2018-Wu0H0 #distributed #fault #optimisation: Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization (JW, WH0, JH, TZ0), pp. 5321–5329.
ICML-2018-YenKYHKR #composition #learning #performance: Loss Decomposition for Fast Learning in Large Output Spaces (IEHY, SK, FXY, DNHR, SK, PR), pp. 5626–5635.
ICML-2018-ZhangFS #estimation #matrix: Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion (RYZ, SF, SS), pp. 5761–5770.
ICPR-2018-BoubrahimiMAHA #approximate: Scalable kNN Search Approximation for Time Series Data (SFB, RM, BA, SMH, RAA), pp. 970–975.
ICPR-2018-Chen #clustering #similarity: Scalable spectral clustering with cosine similarity (GC), pp. 314–319.
ICPR-2018-FuGA #detection #learning: Simultaneous Context Feature Learning and Hashing for Large Scale Loop Closure Detection (ZF, YG, WA), pp. 1689–1694.
ICPR-2018-GaoMSLWX: Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking (PG0, YM, KS, CL, FW0, LX), pp. 2380–2385.
ICPR-2018-RathoreBKRP #approximate #clustering #heatmap: Approximate Cluster Heat Maps of Large High-Dimensional Data (PR, JCB, DK, SR, MP), pp. 195–200.
ICPR-2018-Yan0R #classification #framework #performance #representation: An Efficient Deep Representation Based Framework for Large-Scale Terrain Classification (YY, AR0, SR), pp. 940–945.
ICPR-2018-ZhangMWZ0 #classification #semantics #video: From Text to Video: Exploiting Mid-Level Semantics for Large-Scale Video Classification (JZ0, KM, XW0, YZ0, JF0), pp. 1695–1700.
ICPR-2018-ZhangZZ: Scalable Monocular SLAM by Fusing and Connecting Line Segments with Inverse Depth Filter (JZ, GZ, HZ), pp. 2283–2288.
ICPR-2018-ZhuX #approximate #graph #learning: Scalable Semi-Supervised Learning by Graph Construction with Approximate Anchors Embedding (HZ, MX), pp. 1331–1336.
ICPR-2018-ZuGBT #performance: Saliency guided fast interpolation for large displacement optical flow (YZ, KG, XB, WT), pp. 1145–1150.
KDD-2018-BachemL0 #clustering #lightweight: Scalable k -Means Clustering via Lightweight Coresets (OB, ML, AK0), pp. 1119–1127.
KDD-2018-BaiOZFRST #n-gram #query: Scalable Query N-Gram Embedding for Improving Matching and Relevance in Sponsored Search (XB0, EO, YZ, AF, AR, RS, AT), pp. 52–61.
KDD-2018-BorisyukGS #detection #image #named #recognition: Rosetta: Large Scale System for Text Detection and Recognition in Images (FB, AG, VS), pp. 71–79.
KDD-2018-ChenCYY #optimisation: Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data (XC, PC0, LY, SY), pp. 130–138.
KDD-2018-ChenHNHYH #clustering #normalisation: Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut (XC0, WH, FN, DH, MY0, JZH), pp. 1206–1215.
KDD-2018-ConteMSGMV #community #detection #named #network: D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes (AC, TDM, DDS, RG, AM, LV), pp. 1272–1281.
KDD-2018-FuWHW #approximate #fault #learning #reduction: Scalable Active Learning by Approximated Error Reduction (WF, MW, SH, XW0), pp. 1396–1405.
KDD-2018-GaoWJ #graph #network: Large-Scale Learnable Graph Convolutional Networks (HG, ZW, SJ), pp. 1416–1424.
KDD-2018-GittensRWMGPKRM #data analysis #library #using: Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist (AG, KR, SW, MWM, LG, P, JK, MFR, KJM), pp. 293–301.
KDD-2018-LinZXZ #learning #multi #performance: Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning (KL, RZ, ZX, JZ), pp. 1774–1783.
KDD-2018-LiuCMCMJJ #lessons learnt #normalisation #online: Lessons Learned from Developing and Deploying a Large-Scale Employer Name Normalization System for Online Recruitment (QL, JC, TM, AC, CM, FJ, VJ), pp. 556–565.
KDD-2018-Park0 #effectiveness #graph #named #performance: EvoGraph: An Effective and Efficient Graph Upscaling Method for Preserving Graph Properties (HP, MSK0), pp. 2051–2059.
KDD-2018-PerrosPPVYdSS #named: SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping (IP, EEP, HP, RWV, XY, Cd, WFS, JS), pp. 2080–2089.
KDD-2018-Rajan: Computational Advertising at Scale (SR), p. 2875.
KDD-2018-SadrediniGBRSW #hardware #novel #rule-based: A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators (ES, DG, CB, RR, KS, HW), pp. 665–674.
KDD-2018-ShengTWXZN #email #information management #privacy: Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email (YS0, ST, JBW, JX0, QZ, MN), pp. 734–743.
KDD-2018-ShenYXEBW0 #graph #mobile: Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs (XS, HY, WX, ME, JB, ZW, CW0), pp. 886–894.
KDD-2018-StaarDAB #corpus #documentation #framework #machine learning #platform: Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale (PWJS, MD, CA, CB), pp. 774–782.
KDD-2018-WuCYXXA #clustering #random #using: Scalable Spectral Clustering Using Random Binning Features (LW, PYC, IEHY, FX, YX, CCA), pp. 2506–2515.
KDD-2018-XuLGZLNLBY #approach #learning #on-demand #order #platform: Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach (ZX, ZL, QG, DZ, QL, JN, CL, WB, JY), pp. 905–913.
ICMT-2018-DanielSC #model transformation #query: Scalable Queries and Model Transformations with the Mogwaï Tool (GD, GS, JC), pp. 175–183.
MoDELS-2018-BruneliereKDC #towards: Towards Scalable Model Views on Heterogeneous Model Resources (HB, FMdK, GD, JC), pp. 334–344.
OOPSLA-2018-JeonJO #analysis #data-driven #points-to #precise: Precise and scalable points-to analysis via data-driven context tunneling (MJ, SJ, HO), p. 29.
LOPSTR-2018-PapapanagiotouF #approach #composition #linear #logic #process #using: A Pragmatic, Scalable Approach to Correct-by-Construction Process Composition Using Classical Linear Logic Inference (PP, JDF), pp. 77–93.
ASE-2018-Hilton0M #evolution #test coverage: A large-scale study of test coverage evolution (MH, JB0, DM), pp. 53–63.
ASE-2018-KonatEV #dependence #incremental: Scalable incremental building with dynamic task dependencies (GK, SE, EV), pp. 76–86.
ASE-2018-SungLEW #concurrent #difference #semantics #source code: Datalog-based scalable semantic diffing of concurrent programs (CS, SKL, CE, CW0), pp. 656–666.
ESEC-FSE-2018-GaoDQGW0HZW #debugging #distributed #empirical: An empirical study on crash recovery bugs in large-scale distributed systems (YG, WD, FQ, CG, DW, JW0, RH, LZ, YW), pp. 539–550.
ESEC-FSE-2018-GulzarWK #automation #big data #data analysis #data-driven #debugging #named: BigSift: automated debugging of big data analytics in data-intensive scalable computing (MAG, SW, MK), pp. 863–866.
ESEC-FSE-2018-Ketkar #migration: Type migration in large-scale code bases (AK), pp. 965–967.
ESEC-FSE-2018-MaddoxLR: Large-scale study of substitutability in the presence of effects (JM, YL, HR), pp. 528–538.
ICSE-2018-FanSCMLXPS #analysis #android #exception: Large-scale analysis of framework-specific exceptions in Android apps (LF, TS, SC, GM, YL0, LX, GP, ZS), pp. 408–419.
ICSE-2018-HammadGM #android #anti #empirical #obfuscation: A large-scale empirical study on the effects of code obfuscations on Android apps and anti-malware products (MH, JG, SM), pp. 421–431.
ICSE-2018-MirandaCVB #performance #similarity #testing: FAST approaches to scalable similarity-based test case prioritization (BM, EC, RV, AB), pp. 222–232.
ICSE-2018-PalombaBPFOL #empirical #maintenance #on the #smell: On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation (FP, GB, MDP, FF, RO, ADL), p. 482.
ICSE-2018-PapadakisSYB #correlation #detection #empirical #fault: Are mutation scores correlated with real fault detection?: a large scale empirical study on the relationship between mutants and real faults (MP, DS0, SY, DHB), pp. 537–548.
ICSE-2018-WangBWWCWW #empirical #mobile #obfuscation: Software protection on the go: a large-scale empirical study on mobile app obfuscation (PW0, QB, LW, SW0, ZC, TW, DW), pp. 26–36.
ICSE-2018-XiaBLXHL #case study #comprehension: Measuring program comprehension: a large-scale field study with professionals (XX0, LB, DL0, ZX, AEH, SL), p. 584.
ASPLOS-2018-BestaHYAMH #energy #network #performance: Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability (MB, SMH, SY, RA, OM, TH), pp. 43–55.
ASPLOS-2018-HsuDMT #named: SmoothOperator: Reducing Power Fragmentation and Improving Power Utilization in Large-scale Datacenters (CHH, QD, JM, LT), pp. 535–548.
ASPLOS-2018-ZhaL #configuration management #multi: Liquid Silicon-Monona: A Reconfigurable Memory-Oriented Computing Fabric with Scalable Multi-Context Support (YZ, JL), pp. 214–228.
CASE-2018-GrechVCA #overview #visual notation: Collision Avoidance System for the RP Survey and Visual Inspection Train in the CERN Large Hadron Collider (LG, GV, MDC, CVA), pp. 817–822.
CGO-2018-0003LJZW #concurrent #debugging #distributed #graph: Scalable concurrency debugging with distributed graph processing (LZ0, XL, HJ0, JZ, QW), pp. 188–199.
IJCAR-2018-HernandezK #abstraction #framework #reasoning: An Abstraction-Refinement Framework for Reasoning with Large Theories (JCLH, KK), pp. 663–679.
IJCAR-2018-HuangMGZZ #satisfiability #testing: Investigating the Existence of Large Sets of Idempotent Quasigroups via Satisfiability Testing (PH0, FM, CG, JZ0, HZ), pp. 354–369.
TAP-2018-BernardHK #approach #approximate #modelling #random: An Approximation-Based Approach for the Random Exploration of Large Models (JB0, PCH, OK), pp. 27–43.
VMCAI-2018-BiondiEHLMQ #approximate #data flow #source code: Scalable Approximation of Quantitative Information Flow in Programs (FB, MAE, AH, AL, KSM, JQ), pp. 71–93.
ICSA-2017-MartenssonSB #industrial #integration: Continuous Integration Impediments in Large-Scale Industry Projects (TM, DS, JB), pp. 169–178.
ICSA-2017-MusilESISMB #architecture #integration: Continuous Architectural Knowledge Integration: Making Heterogeneous Architectural Knowledge Available in Large-Scale Organizations (JM, FJE, MS, TBI, DS0, AM, SB), pp. 189–192.
JCDL-2017-BammanCGHS #library: Estimating the Date of First Publication in a Large-Scale Digital Library (DB, MC, JG, CH, VS), pp. 149–158.
JCDL-2017-WeiglPOD #library: Information-Seeking in Large-Scale Digital Libraries: Strategies for Scholarly Workset Creation (DMW, KRP, PO, JSD), pp. 253–256.
CSEET-2017-DemuthK #approach #approximate: An Approach for Project Task Approximation in a Large-Scale Software Project Course (BD, MK), pp. 67–76.
EDM-2017-AndresBSGSC #framework #replication #using: Studying MOOC Completion at Scale Using the MOOC Replication Framework (JMLA, RSB, GS, DG, CAS, SAC).
EDM-2017-ZhangS #interactive #modelling #network: Modeling Network Dynamics of MOOC Discussion Interactions at Scale (JZ, MS).
ICSME-2017-BlondeauEACCD #case study #developer #testing #what: What are the Testing Habits of Developers? A Case Study in a Large IT Company (VB, AE, NA, SC, PC, SD), pp. 58–68.
ICSME-2017-HuangVGSS #analysis #assembly #execution #named #visualisation: Atlantis: Improving the Analysis and Visualization of Large Assembly Execution Traces (HNH, EV0, DMG, MADS, MS), pp. 623–627.
ICSME-2017-VasquezMP #automation #mobile #testing: Continuous, Evolutionary and Large-Scale: A New Perspective for Automated Mobile App Testing (MLV, KM, DP), pp. 399–410.
ICSME-2017-WiemanALVD #case study #experience #learning: An Experience Report on Applying Passive Learning in a Large-Scale Payment Company (RW, MFA, WL, SV, AvD), pp. 564–573.
ICSME-2017-XiaLBSL: Personality and Project Success: Insights from a Large-Scale Study with Professionals (XX0, DL0, LB, AS0, SL), pp. 318–328.
MSR-2017-BaoXXLL #developer #industrial #mining: Who will leave the company?: a large-scale industry study of developer turnover by mining monthly work report (LB, ZX, XX0, DL0, SL), pp. 170–181.
MSR-2017-GhotraMH #classification #fault #feature model #modelling: A large-scale study of the impact of feature selection techniques on defect classification models (BG, SM, AEH), pp. 146–157.
MSR-2017-GonzalezSPMN #comprehension #maintenance #testing: A large-scale study on the usage of testing patterns that address maintainability attributes: patterns for ease of modification, diagnoses, and comprehension (DG, JCSS, AP, MM, MN), pp. 391–401.
MSR-2017-WanLXC #debugging #empirical: Bug characteristics in blockchain systems: a large-scale empirical study (ZW, DL0, XX0, LC), pp. 413–424.
MSR-2017-WatanabeAKSTSIS #comprehension #metric #mobile: Understanding the origins of mobile app vulnerabilities: a large-scale measurement study of free and paid apps (TW0, MA, FK, ES, YT, BS, YI, TS, TY, TM), pp. 14–24.
SANER-2017-Kirda #approach #automation #detection #named: UNVEIL: A large-scale, automated approach to detecting ransomware (keynote) (EK), p. 1.
SANER-2017-XavierBHV #api #impact analysis: Historical and impact analysis of API breaking changes: A large-scale study (LX, AB, ACH, MTV), pp. 138–147.
SANER-2017-ZhouLYZ #recommendation: Scalable tag recommendation for software information sites (PZ, JL0, ZY, GZ), pp. 272–282.
SEFM-2017-FantechiHM #composition #verification: Compositional Verification of Interlocking Systems for Large Stations (AF, AEH, HDM), pp. 236–252.
ICFP-2017-CanouCH #education #functional #ml #programming: Scaling up functional programming education: under the hood of the OCaml MOOC (BC, RDC, GH), p. 25.
AIIDE-2017-ClarkF #performance #random #search-based: Fast Random Genetic Search for Large-Scale RTS Combat Scenarios (CC, AF), pp. 165–171.
CIG-2017-BertensGP #big data #game studies #multi #predict: Games and big data: A scalable multi-dimensional churn prediction model (PB, AG, AP), pp. 33–36.
VS-Games-2017-KoskelaPHAAO #3d #modelling #named #web: DRUMM: Dynamic viewing of large-scale 3D city models on the web (TK, MP, AH, TA, PA, TO), pp. 8–14.
CIKM-2017-ArmanACA #3d #database #named #query: VizQ: A System for Scalable Processing of Visibility Queries in 3D Spatial Databases (AA, MEA, FMC, KA), pp. 2447–2450.
CIKM-2017-BhamidipatiKM #predict: A Large Scale Prediction Engine for App Install Clicks and Conversions (NB, RK, SM), pp. 167–175.
CIKM-2017-CaoZL #approach #approximate #distributed #effectiveness #graph #mining #named: PMS: an Effective Approximation Approach for Distributed Large-scale Graph Data Processing and Mining (YC, YZ, JL), pp. 1999–2002.
CIKM-2017-Chekol #evaluation #probability #query: Scaling Probabilistic Temporal Query Evaluation (MWC), pp. 697–706.
CIKM-2017-ChenYSGHY #network: Community-Based Network Alignment for Large Attributed Network (ZC0, XY, BS, JG, XH, WSY), pp. 587–596.
CIKM-2017-HuWBZC #clustering #performance: Fast K-means for Large Scale Clustering (QH, JW, LB0, YZ0, JC0), pp. 2099–2102.
CIKM-2017-KansalS #database #graph: A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases (AK, FS), pp. 207–216.
CIKM-2017-LiK #evaluation #information retrieval: Active Sampling for Large-scale Information Retrieval Evaluation (DL, EK), pp. 49–58.
CIKM-2017-OosterhuisR #evaluation #online: Sensitive and Scalable Online Evaluation with Theoretical Guarantees (HO, MdR), pp. 77–86.
CIKM-2017-QianPS #learning: Active Learning for Large-Scale Entity Resolution (KQ0, LP0, PS), pp. 1379–1388.
CIKM-2017-SeoK #algorithm #clustering #graph #named #performance: pm-SCAN: an I/O Efficient Structural Clustering Algorithm for Large-scale Graphs (JHS, MHK), pp. 2295–2298.
CIKM-2017-TanZW #graph #learning #representation: Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations (ZT, XZ0, WW0), pp. 1777–1786.
CIKM-2017-WuZCC #approach #image: A New Approach to Compute CNNs for Extremely Large Images (SW, MZ, GC0, KC0), pp. 39–48.
CIKM-2017-ZhuangLZF #human-computer #hybrid #knowledge base #named: Hike: A Hybrid Human-Machine Method for Entity Alignment in Large-Scale Knowledge Bases (YZ, GL0, ZZ, JF), pp. 1917–1926.
ICML-2017-0001N #composition #learning #modelling: Relative Fisher Information and Natural Gradient for Learning Large Modular Models (KS0, FN), pp. 3289–3298.
ICML-2017-ChenYLZ #online #optimisation #performance: Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability (ZC, LFY, CJL, TZ), pp. 777–786.
ICML-2017-Hernandez-Lobato #distributed #parallel: Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space (JMHL, JR, EOPK, AAG), pp. 1470–1479.
ICML-2017-JainMR #generative #learning #modelling #multi: Scalable Generative Models for Multi-label Learning with Missing Labels (VJ, NM, PR), pp. 1636–1644.
ICML-2017-RealMSSSTLK #classification #evolution #image: Large-Scale Evolution of Image Classifiers (ER, SM, AS, SS, YLS, JT, QVL, AK), pp. 2902–2911.
ICML-2017-TangGD #sketching: Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares (JT, MG, MED), pp. 3377–3386.
ICML-2017-Villacampa-Calvo #classification #multi #process #using: Scalable Multi-Class Gaussian Process Classification using Expectation Propagation (CVC, DHL), pp. 3550–3559.
ICML-2017-WichrowskaMHCDF: Learned Optimizers that Scale and Generalize (OW, NM, MWH, SGC, MD, NdF, JSD), pp. 3751–3760.
ICML-2017-YangRS: Scalable Bayesian Rule Lists (HY, CR, MS), pp. 3921–3930.
ICML-2017-ZhangHLYCHW #reduction: Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction (WZ, BH, WL0, JY, DC, XH0, JW0), pp. 4016–4025.
KDD-2017-AlbertKG #identification #network #using: Using Convolutional Networks and Satellite Imagery to Identify Patterns in Urban Environments at a Large Scale (AA, JK, MCG), pp. 1357–1366.
KDD-2017-ConteFMPT #performance: Fast Enumeration of Large k-Plexes (AC, DF, CM, MP, RT), pp. 115–124.
KDD-2017-CurtisG #estimation: Estimation of Recent Ancestral Origins of Individuals on a Large Scale (REC, ARG), pp. 1417–1425.
KDD-2017-DongCS #learning #named #network #representation: metapath2vec: Scalable Representation Learning for Heterogeneous Networks (YD, NVC, AS), pp. 135–144.
KDD-2017-GanH #data mining #framework #mining: A Data Mining Framework for Valuing Large Portfolios of Variable Annuities (GG, JXH), pp. 1467–1475.
KDD-2017-IosifidisN #learning #sentiment: Large Scale Sentiment Learning with Limited Labels (VI, EN), pp. 1823–1832.
KDD-2017-KuangPCMP: Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data (ZK, PLP, VSC, RM, DP), pp. 1537–1546.
KDD-2017-PanZLCHHZ #network: An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis (LP, JZ, PPCL, HC, CH, CH, KZ), pp. 1951–1959.
KDD-2017-Parekh #design: Designing AI at Scale to Power Everyday Life (RP), p. 27.
KDD-2017-PerrosPWVSTS #named: SPARTan: Scalable PARAFAC2 for Large & Sparse Data (IP, EEP, FW0, RWV, ES, MT, JS), pp. 375–384.
KDD-2017-RaffN #distance #sequence: An Alternative to NCD for Large Sequences, Lempel-Ziv Jaccard Distance (ER, CKN), pp. 1007–1015.
KDD-2017-SalehianHL #approach #crowdsourcing #machine learning: Matching Restaurant Menus to Crowdsourced Food Data: A Scalable Machine Learning Approach (HS, PDH, CL), pp. 2001–2009.
KDD-2017-SpringS #learning #random: Scalable and Sustainable Deep Learning via Randomized Hashing (RS, AS), pp. 445–454.
KDD-2017-TongCZCWYYL #approach #online #platform #predict: The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms (YT, YC, ZZ, LC0, JW0, QY0, JY, WL), pp. 1653–1662.
KDD-2017-WuHS #collaboration #ranking: Large-scale Collaborative Ranking in Near-Linear Time (LW, CJH, JS), pp. 515–524.
KDD-2017-YanCR #detection: Scalable Top-n Local Outlier Detection (YY, LC, EAR), pp. 1235–1244.
KDD-2017-YinLN #bound #education: Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach (PY, PL0, TN), pp. 1275–1284.
ECMFA-2017-GomezMBCDGKLT #case study #development #experience #modelling #on the: On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development (AG, XM, GB, JC, CD, AG, DSK, JdL, ST), pp. 300–315.
ECOOP-2017-Schulte #challenge: Challenges to Achieving High Availability at Scale (Invited Talk) (WS), p. 1.
PPDP-2017-MeiklejohnEYBRB #case study #evaluation #experience #programming: Practical evaluation of the Lasp programming model at large scale: an experience report (CSM, VE, JY, CB, PVR, AB), pp. 109–114.
SAS-2017-MarechalMP #linear #parametricity #programming: Scalable Minimizing-Operators on Polyhedra via Parametric Linear Programming (AM, DM, MP), pp. 212–231.
ASE-2017-CelikPG #named #proving #verification: iCoq: regression proof selection for large-scale verification projects (AÇ, KP, MG), pp. 171–182.
ASE-2017-DanielJSC #framework #model transformation #named: Gremlin-ATL: a scalable model transformation framework (GD, FJ, GS, JC), pp. 462–472.
ASE-2017-ZhaoSZFV #development #empirical #integration: The impact of continuous integration on other software development practices: a large-scale empirical study (YZ, AS, YZ, VF, BV), pp. 60–71.
ESEC-FSE-2017-ZhouCMW #kernel #linux #maintenance #on the: On the scalability of Linux kernel maintainers' work (MZ, QC, AM, FW), pp. 27–37.
ICSE-2017-FabijanDOB #data-driven #development #evolution: The evolution of continuous experimentation in software product development: from data to a data-driven organization at scale (AF, PAD, HHO, JB), pp. 770–780.
ICSE-2017-LiWWWWLXH #android #detection #library #named #precise: LibD: scalable and precise third-party library detection in android markets (ML, WW, PW0, SW0, DW, JL, RX, WH), pp. 335–346.
ICSE-2017-TsutanoBSRD #android #approach #performance #robust: An efficient, robust, and scalable approach for analyzing interacting android apps (YT, SB, WSa, GR, JD), pp. 324–334.
ASPLOS-2017-GaoPYHK #3d #memory management #named #network #performance: TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory (MG, JP, XY, MH, CK), pp. 751–764.
ASPLOS-2017-HsiaoNKPP #named: AsyncClock: Scalable Inference of Asynchronous Event Causality (CHH, SN, EMIK, CLP, GAP), pp. 193–205.
ASPLOS-2017-NguyenP #memory management #source code #transaction #what: What Scalable Programs Need from Transactional Memory (DN, KP), pp. 105–118.
ASPLOS-2017-RajbhandariHRCC #multi #optimisation #performance: Optimizing CNNs on Multicores for Scalability, Performance and Goodput (SR, YH, OR, MC, TMC), pp. 267–280.
ASPLOS-2017-WangHZXS #analysis #graph #interprocedural #named: Graspan: A Single-machine Disk-based Graph System for Interprocedural Static Analyses of Large-scale Systems Code (KW0, AH0, ZZ0, G(X, AAS), pp. 389–404.
CASE-2017-CarliD17a #distributed #energy #programming #using: A decentralized control strategy for energy retrofit planning of large-scale street lighting systems using dynamic programming (RC, MD), pp. 1196–1200.
CASE-2017-ChoiPR #algorithm #automation #multi #synthesis: Automated synthesis of scalable algorithms for inferring non-local properties to assist in multi-robot teaming (TC, TPP, AWR), pp. 1522–1527.
CASE-2017-VijayaraghavanK #algorithm: An L1-minimization based algorithm to measure the redundancy of state estimators in large sensor systems (VV, KK, YD, HP), pp. 424–428.
CGO-2017-JohnsonAL #incremental #named: ThinLTO: scalable and incremental LTO (TJ, MA, DXL), pp. 111–121.
CGO-2017-OttoniM #optimisation: Optimizing function placement for large-scale data-center applications (GO, BM), pp. 233–244.
CADE-2017-0001SUP #consistency #detection #first-order #knowledge base #nondeterminism: Detecting Inconsistencies in Large First-Order Knowledge Bases (SS0, GS, JU, AP), pp. 310–325.
CADE-2017-BarbosaBF #fine-grained #proving: Scalable Fine-Grained Proofs for Formula Processing (HB, JCB, PF), pp. 398–412.
CAV-2017-BakD #linear #reachability: Simulation-Equivalent Reachability of Large Linear Systems with Inputs (SB, PSD), pp. 401–420.
CAV-2017-ReynoldsWBBLT #string #using: Scaling Up DPLL(T) String Solvers Using Context-Dependent Simplification (AR, MW, CWB, DB, TL, CT), pp. 453–474.
WICSA-2016-GarbaNB #multi #named #variability: MUSA: A Scalable Multi-touch and Multi-perspective Variability Management Tool (MG, AN, RB), pp. 299–302.
WICSA-2016-MartiniB #agile #architecture #case study #framework #multi: A Multiple Case Study of Continuous Architecting in Large Agile Companies: Current Gaps and the CAFFEA Framework (AM, JB), pp. 1–10.
JCDL-2016-TraubSOHVH #assessment #bias #corpus: Querylog-based Assessment of Retrievability Bias in a Large Newspaper Corpus (MCT, TS, JvO, JH, APdV, LH), pp. 7–16.
CSEET-2016-MeierKP #agile #case study #collaboration #development #education #experience #student: Experience Report of Teaching Agile Collaboration and Values: Agile Software Development in Large Student Teams (AM0, MK, GP), pp. 76–80.
EDM-2016-FeildLZRE #automation #feedback #framework #learning #platform: A Scalable Learning Analytics Platform for Automated Writing Feedback (JLF, NL, NLZ, MR, AE), pp. 688–693.
EDM-2016-LuH #question: Seeking Programming-related Information from Large Scaled Discussion Forums, Help or Harm? (YL, SIHH), pp. 442–447.
EDM-2016-Nixon: Massively Scalable EDM with Spark (TN), p. 615.
EDM-2016-Penteado #assessment #data mining #estimation #mining #semantics #using: Estimation of prerequisite skills model from large scale assessment data using semantic data mining (BEP), pp. 675–677.
ICPC-2016-Kulkarni #reuse #source code: Comprehending source code of large software system for reuse (AK), pp. 1–4.
ICSME-2016-SainiSL #empirical #java #metric #quality: Comparing Quality Metrics for Cloned and Non Cloned Java Methods: A Large Scale Empirical Study (VS, HS, CVL), pp. 256–266.
ICSME-2016-VassalloZRBPPZ #delivery: Continuous Delivery Practices in a Large Financial Organization (CV, FZ, DR, MB, AP, MDP, AZ), pp. 519–528.
ICSME-2016-XiaBLL #automation #case study #debugging #fault #harmful #locality #user study #using: “Automated Debugging Considered Harmful” Considered Harmful: A User Study Revisiting the Usefulness of Spectra-Based Fault Localization Techniques with Professionals Using Real Bugs from Large Systems (XX0, LB, DL0, SL), pp. 267–278.
MSR-2016-BavotaR #empirical #self #technical debt: A large-scale empirical study on self-admitted technical debt (GB, BR), pp. 315–326.
MSR-2016-NguyenNN #open source: A large-scale study on repetitiveness, containment, and composability of routines in open-source projects (ATN0, HAN, TNN), pp. 362–373.
SANER-2016-BellerBMZ #evaluation #open source #static analysis: Analyzing the State of Static Analysis: A Large-Scale Evaluation in Open Source Software (MB, RB, SM, AZ), pp. 470–481.
SANER-2016-BritoHVR #analysis #api #developer #java: Do Developers Deprecate APIs with Replacement Messages? A Large-Scale Analysis on Java Systems (GB, ACH, MTV, RR), pp. 360–369.
SANER-2016-KochharWL #case study #multi #programming language #quality: A Large Scale Study of Multiple Programming Languages and Code Quality (PSK, DW, DL0), pp. 563–573.
SANER-2016-RoyHAWD #automation #metadata #set #spreadsheet: Evaluating Automatic Spreadsheet Metadata Extraction on a Large Set of Responses from MOOC Participants (SR, FH, EA, JW, AvD), pp. 135–145.
SANER-2016-SwidanHK #case study #performance #spreadsheet: Improving the Performance of a Large Scale Spreadsheet: A Case Study (AS, FH, RK), pp. 673–677.
Haskell-2016-MokhovMJM #harmful #recursion: Non-recursive make considered harmful: build systems at scale (AM, NM, SPJ, SM), pp. 170–181.
ICFP-2016-Abadi #learning #named: TensorFlow: learning functions at scale (MA), p. 1.
CIG-2016-Nelson #corpus #game studies: Investigating vanilla MCTS scaling on the GVG-AI game corpus (MJN), pp. 1–7.
CIKM-2016-BandyopadhyayFC #graph #incremental #sketching: Topological Graph Sketching for Incremental and Scalable Analytics (BB, DF, AC, SP0), pp. 1231–1240.
CIKM-2016-BleifussBFRW0PN #approximate #dataset #dependence #functional: Approximate Discovery of Functional Dependencies for Large Datasets (TB, SB, JF, JR, GW, SK0, TP, FN), pp. 1803–1812.
CIKM-2016-ChenNLXA #feedback #modelling #recommendation: Separating-Plane Factorization Models: Scalable Recommendation from One-Class Implicit Feedback (HC, DN, KL, YX, MA), pp. 669–678.
CIKM-2016-CheungL #learning #rank #robust: Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning (YmC, JL), pp. 1151–1160.
CIKM-2016-CormackG #classification #learning #reliability: Scalability of Continuous Active Learning for Reliable High-Recall Text Classification (GVC, MRG), pp. 1039–1048.
CIKM-2016-EtemadiLT #estimation #graph #performance: Efficient Estimation of Triangles in Very Large Graphs (RE, JL, YHT), pp. 1251–1260.
CIKM-2016-GuoS #analysis #behaviour #mobile #towards: Large-Scale Analysis of Viewing Behavior: Towards Measuring Satisfaction with Mobile Proactive Systems (QG, YS), pp. 579–588.
CIKM-2016-HoLSKDWZS #algorithm #behaviour #distributed #graph: A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data (QH, WL, ES, SK, TAD, JW, ICZ, ASN), pp. 1353–1362.
CIKM-2016-HuWCLF #graph #query: Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs (JH, XW, RC, SL, YF), pp. 1241–1250.
CIKM-2016-Jin #e-commerce #online #robust: Large-scale Robust Online Matching and Its Application in E-commerce (RJ), p. 1351.
CIKM-2016-LiuLLC #composition #named #personalisation #random #rank: PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition (QL, ZL, JCSL, JC), pp. 195–204.
CIKM-2016-LiuLNFTAKVPWMDV #detection #realtime #twitter #verification: Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time News Events from Twitter (XL, QL, AN, RF, MT, KA, RK, MV, SP, RW, RM, JD, AV, WK, SS), pp. 207–216.
CIKM-2016-OrdentlichYFCGD #distributed #word: Network-Efficient Distributed Word2vec Training System for Large Vocabularies (EO, LY, AF, PC, MG, ND, VR, GO), pp. 1139–1148.
CIKM-2016-PengKYC #matrix #named #rank: RAP: Scalable RPCA for Low-rank Matrix Recovery (CP, ZK, MY, QC), pp. 2113–2118.
CIKM-2016-PhamP #performance: Scalability and Total Recall with Fast CoveringLSH (NP, RP), pp. 1109–1118.
CIKM-2016-RossiZ #multi #network: Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks (RAR, RZ0), pp. 1783–1792.
CIKM-2016-SiddiquiRPH #corpus #documentation #named: FacetGist: Collective Extraction of Document Facets in Large Technical Corpora (TS, XR, AGP, JH0), pp. 871–880.
CIKM-2016-ZhangLDCKS #big data #locality #privacy #using: Scalable Local-Recoding Anonymization using Locality Sensitive Hashing for Big Data Privacy Preservation (XZ, CL, WD, JC, KR, ZS), pp. 1793–1802.
CIKM-2016-ZhongSLR #parametricity: Scaling Factorization Machines with Parameter Server (EZ, YS, NL, SR), pp. 1583–1592.
ECIR-2016-BaluFA #matrix #sketching: Sketching Techniques for Very Large Matrix Factorization (RB, TF, LA), pp. 782–788.
ECIR-2016-CroceB #kernel #learning: Large-Scale Kernel-Based Language Learning Through the Ensemble Nystr đdoto o ¨ m Methods (DC, RB0), pp. 100–112.
ICML-2016-CanevetJF #empirical: Importance Sampling Tree for Large-scale Empirical Expectation (OC, CJ, FF), pp. 1454–1462.
ICML-2016-ChenG #multi #problem: Scalable Discrete Sampling as a Multi-Armed Bandit Problem (YC, ZG), pp. 2492–2501.
ICML-2016-GeJKNS #algorithm #analysis #canonical #correlation #performance: Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis (RG0, CJ, SMK, PN, AS), pp. 2741–2750.
ICML-2016-LucicBZK: Horizontally Scalable Submodular Maximization (ML, OB, MZ, AK0), pp. 2981–2989.
ICML-2016-LuketinaRBG: Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters (JL, TR, MB, KG), pp. 2952–2960.
ICML-2016-TaylorBXSPG #approach #network: Training Neural Networks Without Gradients: A Scalable ADMM Approach (GT, RB, ZX0, BS, ABP, TG), pp. 2722–2731.
ICML-2016-UbaruS #matrix #performance #rank: Fast methods for estimating the Numerical rank of large matrices (SU, YS), pp. 468–477.
ICML-2016-VladymyrovC #problem: The Variational Nystrom method for large-scale spectral problems (MV, MÁCP), pp. 211–220.
ICML-2016-ZhangLL #classification #image #network: Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification (YZ, KL, HL), pp. 612–621.
ICPR-2016-ChaiLYLC #gesture #network #recognition: Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition (XC, ZL, FY, ZL, XC), pp. 31–36.
ICPR-2016-ConlyDA #gesture #recognition: Leveraging intra-class variations to improve large vocabulary gesture recognition (CC, AD, VA), pp. 907–912.
ICPR-2016-GunjiNTKK #3d #recognition: 3D object recognition from large-scale point clouds with global descriptor and sliding window (NG, HN, KT, TK, TK), pp. 721–726.
ICPR-2016-KanehiraSH #learning #multi: True-negative label selection for large-scale multi-label learning (AK, AS, TH), pp. 3673–3678.
ICPR-2016-KimuraKSK #classification #multi #performance #random: Fast random k-labELsets for large-scale multi-label classification (KK, MK, LS, SK), pp. 438–443.
ICPR-2016-LiMTFXLS #3d #data-driven #database #gesture #recognition: Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model (YL, QM, KT, YF, XX, RL, JS), pp. 25–30.
ICPR-2016-Liu #hybrid #mining: Exposing seam carving forgery under recompression attacks by hybrid large feature mining (QL), pp. 1041–1046.
ICPR-2016-Liu16a #classification #learning #multi #network: Hierarchical learning for large multi-class network classification (LL), pp. 2307–2312.
ICPR-2016-WangLLGTO #gesture #network #recognition #using: Large-scale Isolated Gesture Recognition using Convolutional Neural Networks (PW, WL, SL, ZG, CT, PO), pp. 7–12.
ICPR-2016-WangLLZGO #gesture #network #recognition #using: Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks (PW, WL, SL, YZ, ZG, PO), pp. 13–18.
ICPR-2016-ZhuangYH #approach #modelling #retrieval #video: DLSTM approach to video modeling with hashing for large-scale video retrieval (NZ, JY0, KAH), pp. 3222–3227.
ICPR-2016-ZhuZMSSS #3d #gesture #network #recognition #using: Large-scale Isolated Gesture Recognition using pyramidal 3D convolutional networks (GZ, LZ0, LM, JS, JS, PS), pp. 19–24.
KDD-2016-0002GOL #modelling #predict: Business Applications of Predictive Modeling at Scale (QZ0, SG, PO, YL), pp. 2139–2140.
KDD-2016-AgostaGHIKZ #clustering #data analysis #using: Scalable Data Analytics Using R: Single Machines to Hadoop Spark Clusters (JMA, DG, RH, MI, SK, MZ), p. 2115.
KDD-2016-AkibaY #graph #sketching: Compact and Scalable Graph Neighborhood Sketching (TA, YY), pp. 685–694.
KDD-2016-BanerjeeYR #approach #mining #named: MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories (PB, PY, SR), pp. 1415–1424.
KDD-2016-ChenG #named: XGBoost: A Scalable Tree Boosting System (TC, CG), pp. 785–794.
KDD-2016-ChiangLL #classification #coordination #linear #manycore #parallel: Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments (WLC, MCL, CJL), pp. 1485–1494.
KDD-2016-DuLZHX #detection: Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records (BD, CL, WZ, ZH, HX), pp. 87–96.
KDD-2016-GroverL #learning #named #network: node2vec: Scalable Feature Learning for Networks (AG, JL), pp. 855–864.
KDD-2016-HanZZ #component #estimation #performance: Fast Component Pursuit for Large-Scale Inverse Covariance Estimation (LH0, YZ0, TZ0), pp. 1585–1594.
KDD-2016-HaPK #categorisation #e-commerce #multi #network #using: Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks (JH, HP, JK), pp. 107–115.
KDD-2016-Herbrich #learning #modelling: Learning Sparse Models at Scale (RH), p. 407.
KDD-2016-HuangZCSML #network: Meta Structure: Computing Relevance in Large Heterogeneous Information Networks (ZH0, YZ, RC, YS, NM, XL), pp. 1595–1604.
KDD-2016-LiMLFDYLQ #big data #data analysis #learning #performance #taxonomy: Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis (XL0, MM, BL, MSF, ID, JY, TL, SQ), pp. 511–519.
KDD-2016-LynchAA #image #learning #multimodal #rank #semantics #visual notation: Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank (CL, KA, JA), pp. 541–548.
KDD-2016-MaccioniA #graph #pattern matching: Scalable Pattern Matching over Compressed Graphs via Dedensification (AM, DJA), pp. 1755–1764.
KDD-2016-MahmoodyTU: Scalable Betweenness Centrality Maximization via Sampling (AM, CET, EU), pp. 1765–1773.
KDD-2016-MaiAS #algorithm #clustering #dataset #named #performance: AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets (STM, IA, MS), pp. 1025–1034.
KDD-2016-PetitjeanW #learning #modelling #visual notation: Scalable Learning of Graphical Models (FP, GIW), pp. 2131–2132.
KDD-2016-RendleFSS #in the cloud #machine learning #robust: Robust Large-Scale Machine Learning in the Cloud (SR, DF, EJS, BYS), pp. 1125–1134.
KDD-2016-Shi0CTGR #multi #network #social: Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay (YS, MK0, SC, MT, SG, RR), pp. 1855–1864.
KDD-2016-Srivastava #machine learning #theory and practice: Large-Scale Machine Learning at Verizon: Theory and Applications (AS), p. 417.
KDD-2016-TabeiSYP #matrix: Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices (YT, HS, YY, SJP), pp. 1875–1884.
KDD-2016-TanFLWLLPXH #adaptation #algorithm #predict: Scalable Time-Decaying Adaptive Prediction Algorithm (YT, ZF, GL, FW, ZL, SL, QP, EPX, QH), pp. 617–626.
KDD-2016-Yang0Z #probability: Distributing the Stochastic Gradient Sampler for Large-Scale LDA (YY, JC0, JZ0), pp. 1975–1984.
KDD-2016-ZhangZMCZA #linear #modelling #named #predict: GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction (XZ, YZ, YM, BCC, LZ, DA), pp. 363–372.
OOPSLA-2016-WeitzWTEKT #protocol #smt #verification: Scalable verification of border gateway protocol configurations with an SMT solver (KW, DW, ET, MDE, AK, ZT), pp. 765–780.
LOPSTR-2016-JanaKDVC #array #bound #model checking #source code: Scaling Bounded Model Checking by Transforming Programs with Arrays (AJ, UPK, AD, RV, NC), pp. 275–292.
POPL-2016-PlotkinBLRV #network #symmetry #using #verification: Scaling network verification using symmetry and surgery (GDP, NB, NPL, AR, GV), pp. 69–83.
ASE-2016-Babur #analysis #modelling #set #statistics: Statistical analysis of large sets of models (ÖB), pp. 888–891.
FSE-2016-LuoMP #comparison #empirical #testing: A large-scale empirical comparison of static and dynamic test case prioritization techniques (QL, KM, DP), pp. 559–570.
ICSE-2016-BersaniBGKP #performance #pipes and filters #using: Efficient large-scale trace checking using mapreduce (MMB, DB, CG, SK, PSP), pp. 888–898.
ICSE-2016-Huang #analysis #concurrent #thread: Scalable thread sharing analysis (JH0), pp. 1097–1108.
ICSE-2016-LuLLXMH0F #android #mining #named: PRADA: prioritizing android devices for apps by mining large-scale usage data (XL, XL, HL, TX0, QM, DH, GH0, FF0), pp. 3–13.
ICSE-2016-MechtaevYR #analysis #multi #named #synthesis: Angelix: scalable multiline program patch synthesis via symbolic analysis (SM, JY, AR), pp. 691–701.
ICSE-2016-SajnaniSSRL #clone detection #detection #named: SourcererCC: scaling code clone detection to big-code (HS, VS, JS, CKR, CVL), pp. 1157–1168.
GPCE-2016-Rothberg00L #testing #towards: Towards scalable configuration testing in variable software (VR, CD, AZ, DL), pp. 156–167.
ASPLOS-2016-LinCLMHXS #design #implementation #kernel: Scalable Kernel TCP Design and Implementation for Short-Lived Connections (XL, YC0, XL, JM, JH, WX, YS), pp. 339–352.
ASPLOS-2016-PhothilimthanaT: Scaling up Superoptimization (PMP, AT0, RB, DD), pp. 297–310.
CASE-2016-HuYLD #automation #identification #petri net: Critical stages and their identification in large scale automated manufacturing systems via Petri nets (HH, YY, YL0, ND), pp. 413–420.
CASE-2016-JanSFF #automation #performance: Fast automatic seat assignment for large-scale passengers reservation systems (GEJ, CCS, CTFT, KF), pp. 239–244.
CASE-2016-SchwesingerS #3d #approach #locality: A 3D approach to infrastructure-free localization in large scale warehouse environments (DS, JRS), pp. 274–279.
CC-2016-ScholzJSW #datalog #on the #performance #program analysis: On fast large-scale program analysis in Datalog (BS, HJ, PS, TW), pp. 196–206.
FASE-2016-CarlosST #query #repository #traversal: Two-Step Transformation of Model Traversal EOL Queries for Large CDO Repositories (XDC, GS, ST), pp. 141–157.
CAV-2016-GarioCMTR #automation #design #model checking: Model Checking at Scale: Automated Air Traffic Control Design Space Exploration (MG, AC, CM, ST, KYR), pp. 3–22.
ICST-2016-StivaletF #generative #php #testing: Large Scale Generation of Complex and Faulty PHP Test Cases (BS, EF), pp. 409–415.
VMCAI-2016-KidoCH #abstract interpretation #standard #static analysis #towards: Abstract Interpretation with Infinitesimals - Towards Scalability in Nonstandard Static Analysis (KK, SC, IH), pp. 229–249.
QoSA-2015-LehrigEB #in the cloud #metric #overview #performance: Scalability, Elasticity, and Efficiency in Cloud Computing: a Systematic Literature Review of Definitions and Metrics (SL, HE, SB), pp. 83–92.
WICSA-2015-GortonKN #architecture #database: Architecture Knowledge for Evaluating Scalable Databases (IG, JK, AN), pp. 95–104.
WICSA-2015-NaabBLHEMCK #architecture #case study #design #ecosystem #experience #mobile #prototype #why: Why Data Needs more Attention in Architecture Design — Experiences from Prototyping a Large-Scale Mobile App Ecosystem (MN, SB, TL, SH, AE, DM, RC, FK), pp. 75–84.
JCDL-2015-HinzeTBMD #ambiguity #library #semantics: Improving Access to Large-scale Digital Libraries ThroughSemantic-enhanced Search and Disambiguation (AH, CTS, DB0, RM, JSD), pp. 147–156.
PODS-2015-Cormode #dataset #summary: Compact Summaries over Large Datasets (GC), pp. 157–158.
SIGMOD-2015-BeedkarG #mining #named #sequence: LASH: Large-Scale Sequence Mining with Hierarchies (KB, RG), pp. 491–503.
SIGMOD-2015-ChristensenWLYT #named #online #reasoning: STORM: Spatio-Temporal Online Reasoning and Management of Large Spatio-Temporal Data (RC, LW, FL, KY, JT, NV), pp. 1111–1116.
SIGMOD-2015-ElgamalYAMH #analysis #big data #component #distributed #named #platform: sPCA: Scalable Principal Component Analysis for Big Data on Distributed Platforms (TE, MY, AA, WM, MH), pp. 79–91.
SIGMOD-2015-GurukarRR #approach #commit #communication #mining #named #network: COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks (SG, SR, BR), pp. 475–489.
SIGMOD-2015-HuangBTRTR #machine learning: Resource Elasticity for Large-Scale Machine Learning (BH, MB, YT, BR, ST, FRR), pp. 137–152.
SIGMOD-2015-JiangFW #keyword #network: Exact Top-k Nearest Keyword Search in Large Networks (MJ, AWCF, RCWW), pp. 393–404.
SIGMOD-2015-KulkarniBFKKMPR #twitter: Twitter Heron: Stream Processing at Scale (SK, NB, MF, VK, CK, SM, JMP, KR, ST), pp. 239–250.
SIGMOD-2015-LinOWY #distributed: Scalable Distributed Stream Join Processing (QL, BCO, ZW, CY), pp. 811–825.
SIGMOD-2015-LoesingPEK #database #design #distributed #on the: On the Design and Scalability of Distributed Shared-Data Databases (SL, MP, TE, DK), pp. 663–676.
SIGMOD-2015-NothaftMDZLYKAH #data-driven #using: Rethinking Data-Intensive Science Using Scalable Analytics Systems (FAN, MM, TD, ZZ, UL, CY, JK, AA, JH, ML, MJF, ADJ, DAP), pp. 631–646.
SIGMOD-2015-PrasadFGMLXHR #data transfer #distributed #performance #predict: 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-ShinJSK #approach #graph #named #random: BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs (KS, JJ, LS, UK), pp. 1571–1585.
SIGMOD-2015-TauheedHA #named: THERMAL-JOIN: A Scalable Spatial Join for Dynamic Workloads (FT, TH, AA), pp. 939–950.
SIGMOD-2015-TeflioudiGM #matrix #named #performance #retrieval: LEMP: Fast Retrieval of Large Entries in a Matrix Product (CT, RG, OM), pp. 107–122.
SIGMOD-2015-YuanWYC #big data #database: A Demonstration of Rubato DB: A Highly Scalable NewSQL Database System for OLTP and Big Data Applications (LYY, LW, JHY, YC), pp. 907–912.
VLDB-2015-AnciauxLPP: A Scalable Search Engine for Mass Storage Smart Objects (NA, SL, ISP, PP), pp. 910–921.
VLDB-2015-ArmbrustDDGORSW #performance #usability: Scaling Spark in the Real World: Performance and Usability (MA, TD, AD, AG, AO, JR, IS, PW, RX, MZ), pp. 1840–1851.
VLDB-2015-BuxBLHDL #execution #named #workflow: SAASFEE: Scalable Scientific Workflow Execution Engine (MB, JB, CL, KH, JD, UL), pp. 1892–1903.
VLDB-2015-ChuWLHP #clustering #detection #named: ALID: Scalable Dominant Cluster Detection (LC, SW, SL, QH, JP), pp. 826–837.
VLDB-2015-DingWDFZZ #clustering #named #performance: YADING: Fast Clustering of Large-Scale Time Series Data (RD, QW, YD, QF, HZ, DZ), pp. 473–484.
VLDB-2015-GoelPABMFGMBL #architecture #realtime #towards: Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLxP Workloads (AKG, JP, NA, PB, SM, FF, FG, CM, TB, WL), pp. 1716–1727.
VLDB-2015-HaasKWF0 #framework #named: Wisteria: Nurturing Scalable Data Cleaning Infrastructure (DH, SK, JW, MJF, EW), pp. 2004–2015.
VLDB-2015-KalininCZ #multi #named: Searchlight: Enabling Integrated Search and Exploration over Large Multidimensional Data (AK, UÇ, SBZ), pp. 1094–1105.
VLDB-2015-KatsarouNT #performance #query: Performance and Scalability of Indexed Subgraph Query Processing Methods (FK, NN, PT), pp. 1566–1577.
VLDB-2015-KoutraJNF #graph #interactive #mining #named #visualisation: Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool (DK, DJ, YN, CF), pp. 1924–1935.
VLDB-2015-LaiQLC #pipes and filters: Scalable Subgraph Enumeration in MapReduce (LL, LQ, XL, LC), pp. 974–985.
VLDB-2015-LiDS #constraints #latency: Supporting Scalable Analytics with Latency Constraints (BL, YD, PJS), pp. 1166–1177.
VLDB-2015-LiQYM #community #network: Influential Community Search in Large Networks (RHL, LQ, JXY, RM), pp. 509–520.
VLDB-2015-MargoS #distributed #graph: A Scalable Distributed Graph Partitioner (DWM, MIS), pp. 1478–1489.
VLDB-2015-PelkonenFCHMTV #database #in memory #named #performance: Gorilla: A Fast, Scalable, In-Memory Time Series Database (TP, SF, PC, QH, JM, JT, KV), pp. 1816–1827.
VLDB-2015-PsaroudakisSMSA #adaptation #concurrent #in memory #towards: Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement (IP, TS, NM, AS, AA), pp. 1442–1453.
VLDB-2015-QiuBDSS #named #specification #web: DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web (DQ, LB, XLD, YS, DS), pp. 2194–2205.
VLDB-2015-RenW #graph #morphism: Exploiting Vertex Relationships in Speeding up Subgraph Isomorphism over Large Graphs (XR, JW), pp. 617–628.
VLDB-2015-SahliMK #named #string: StarDB: A Large-Scale DBMS for Strings (MS, EM, PK), pp. 1844–1855.
VLDB-2015-ShaoC0LX #framework #graph #performance #similarity: An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs (YS, BC, LC, ML, XX), pp. 838–849.
VLDB-2015-ShiokawaFO #algorithm #clustering #graph #performance: SCAN++: Efficient Algorithm for Finding Clusters, Hubs and Outliers on Large-scale Graphs (HS, YF, MO), pp. 1178–1189.
VLDB-2015-ShiQMJWRO #data analysis #pipes and filters: Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics (JS, YQ, UFM, LJ, CW, BR, FÖ), pp. 2110–2121.
VLDB-2015-TangCM #similarity: Scaling Similarity Joins over Tree-Structured Data (YT, YC, NM), pp. 1130–1141.
VLDB-2015-YuM #network #performance: Efficient Partial-Pairs SimRank Search for Large Networks (WY, JAM), pp. 569–580.
CSEET-2015-Robinson #distributed #industrial: Insights from Creating and Deploying a Large, Globally Distributed Industrial Training Program (BPR), p. 2.
EDM-2015-BakerCMSS #future of: The Future of Practical Applications of EDM at Scale (RSB, JC, PM, BS, JCS), p. 11.
EDM-2015-LewkowZRE #education #framework #learning #platform #streaming #towards: Learning Analytics Platform. Towards an Open Scalable Streaming Solution for Education (NL, NLZ, MR, AE), pp. 460–463.
EDM-2015-RollestonHS #education: Educational Reports That Scale Across Users and Data (RR, RH, MAS), pp. 468–471.
EDM-2015-SaarelaK #approach #clustering #education: Do Country Stereotypes Exist in Educational Data? A Clustering Approach for Large, Sparse, and Weighted Data (MS, TK), pp. 156–153.
EDM-2015-ViePGBB #adaptation #modelling #performance #predict #testing: Predicting Performance on Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing (JJV, FP, JBG, EB, YB), pp. 618–619.
SIGITE-2015-ZhouCKNCUG #collaboration #feedback #student #using: M-CAFE 1.0: Motivating and Prioritizing Ongoing Student Feedback During MOOCs and Large on-Campus Courses using Collaborative Filtering (MZ, AC, SK, BN, CC, KU, KG), pp. 153–158.
ICPC-2015-VendomeLBPGP #git #java: License usage and changes: a large-scale study of Java projects on GitHub (CV, MLV, GB, MDP, DMG, DP), pp. 218–228.
ICSME-2015-Balachandran #query #repository: Query by example in large-scale code repositories (VB), pp. 467–476.
ICSME-2015-MaigaHNSL #case study #empirical #experience: An empirical study on the handling of crash reports in a large software company: An experience report (AM, AHL, MN, KKS, AL), pp. 342–351.
ICSME-2015-WangPV #corpus #mining: Developing a model of loop actions by mining loop characteristics from a large code corpus (XW, LLP, KVS), pp. 51–60.
MSR-2015-GuptaSPA #challenge #identification #overview #process: Identifying Software Process Management Challenges: Survey of Practitioners in a Large Global IT Company (MG, AS, SP, AMA), pp. 346–356.
MSR-2015-WuMKGI #consistency #detection #nondeterminism #open source: A Method to Detect License Inconsistencies in Large-Scale Open Source Projects (YW, YM, TK, DMG, KI), pp. 324–333.
SANER-2015-DamevskiSP #code search #developer #evaluation #metric #tool support: Scaling up evaluation of code search tools through developer usage metrics (KD, DCS, LLP), pp. 181–190.
SANER-2015-HashimotoMI #fine-grained #source code: A comprehensive and scalable method for analyzing fine-grained source code change patterns (MH, AM, TI), pp. 351–360.
SANER-2015-Jiang #integration #process: Improving the integration process of large software systems (YJ), p. 598.
SANER-2015-Keivanloo0Z #clone detection #detection #java #repository: Threshold-free code clone detection for a large-scale heterogeneous Java repository (IK, FZ, YZ), pp. 201–210.
SANER-2015-KochharTL #debugging #effectiveness #empirical #test coverage #testing: Code coverage and test suite effectiveness: Empirical study with real bugs in large systems (PSK, FT, DL), pp. 560–564.
SANER-2015-MedicherlaK #analysis #approximate #precise: Precision vs. scalability: Context sensitive analysis with prefix approximation (RKM, RK), pp. 281–290.
SCAM-2015-AivaloglouHH #dataset #spreadsheet: A grammar for spreadsheet formulas evaluated on two large datasets (EA, DH, FH), pp. 121–130.
SCAM-2015-LemosPSL #code search #query #question #using: Can the use of types and query expansion help improve large-scale code search? (OALL, ACdP, HS, CVL), pp. 41–50.
ICALP-v1-2015-AnshelevichKS #approximate: Envy-Free Pricing in Large Markets: Approximating Revenue and Welfare (EA, KK, SS), pp. 52–64.
ICALP-v2-2015-Finkel #automaton #infinity #theorem #word: Incompleteness Theorems, Large Cardinals, and Automata over Infinite Words (OF), pp. 222–233.
ICFP-2015-NewtonFV #adaptation: Adaptive lock-free maps: purely-functional to scalable (RRN, PPF, AV), pp. 218–229.
AIIDE-2015-ChurchillB #architecture #game studies #robust: Hierarchical Portfolio Search: Prismata's Robust AI Architecture for Games with Large Search Spaces (DC, MB), pp. 16–22.
AIIDE-2015-SifaDB #analysis #behaviour: Large-Scale Cross-Game Player Behavior Analysis on Steam (RS, AD, CB), pp. 198–204.
CIG-2015-BaeKLKN #generative: Generation of an arbitrary shaped large maze by assembling mazes (CmB, EKK, JL, KJK, JCN), pp. 538–539.
FDG-2015-RyanKFHOMW #game studies #interactive #visualisation: Large-Scale Interactive Visualizations of Nearly 12, 000 Games (JOR, EK, AMF, TH, TOM, MM, NWF).
CHI-2015-ChangLKS #behaviour #comprehension #gesture #mobile: Understanding Users’ Touch Behavior on Large Mobile Touch-Screens and Assisted Targeting by Tilting Gesture (YC, SL, KK, JS), pp. 1499–1508.
CHI-2015-EgelmanP #behaviour #security: Scaling the Security Wall: Developing a Security Behavior Intentions Scale (SeBIS) (SE, EP), pp. 2873–2882.
CHI-2015-GrevetG #prototype #social #using: Piggyback Prototyping: Using Existing, Large-Scale Social Computing Systems to Prototype New Ones (CG, EG), pp. 4047–4056.
CHI-2015-MiksikVLPNGHPIT #3d #interactive #recognition #semantics: The Semantic Paintbrush: Interactive 3D Mapping and Recognition in Large Outdoor Spaces (OM, VV, ML, RP, MN, SG, SLH, PP, SI, PHST), pp. 3317–3326.
CHI-2015-ParkOSJC #behaviour #image #web: A Large-Scale Study of User Image Search Behavior on the Web (JYP, NO, RS, AJ, CWC), pp. 985–994.
CSCW-2015-CoetzeeLFHH #interactive #learning: Structuring Interactions for Large-Scale Synchronous Peer Learning (DC, SL, AF, BH, MAH), pp. 1139–1152.
CSCW-2015-ReineckeG #named #online: LabintheWild: Conducting Large-Scale Online Experiments With Uncompensated Samples (KR, KZG), pp. 1364–1378.
CSCW-2015-SiangliulueAGD #collaboration #towards: Toward Collaborative Ideation at Scale: Leveraging Ideas from Others to Generate More Creative and Diverse Ideas (PS, KCA, KZG, SPD), pp. 937–945.
DHM-EH-2015-MaruyamaKD #adaptation #simulation: MoCap-Based Adaptive Human-Like Walking Simulation in Laser-Scanned Large-Scale as-Built Environments (TM, SK, HD), pp. 193–204.
DHM-EH-2015-TianLYJCS #analysis #video: Single-Variable Scenario Analysis of Vehicle-Pedestrian Potential Crash Based on Video Analysis Results of Large-Scale Naturalistic Driving Data (RT, LL, KY, FJ, YC, RS), pp. 295–304.
DUXU-UI-2015-LiHF #quality #requirements #user interface #using: Scaling Preferences of Different Stakeholders — Using the Example of Prioritizing Quality Requirements on User Interface Texts (YL, TH, PF), pp. 75–86.
HCI-IT-2015-OnishiST #mobile: Investigation of Transferring Touch Events for Controlling a Mobile Device with a Large Touchscreen (KO, BS, JT), pp. 250–261.
ICEIS-v1-2015-CerqueiraOG #community #framework #network #social: A Framework for Analysing Dynamic Communities in Large-scale Social Networks (VC, MDBO, JG), pp. 235–242.
ICEIS-v1-2015-CostaFMO #clustering #database: Sharding by Hash Partitioning — A Database Scalability Pattern to Achieve Evenly Sharded Database Clusters (CHC, JVBMF, PHMM, FCMBO), pp. 313–320.
ICEIS-v1-2015-FuD #graph #named #social: ROBE — Knitting a Tight Hub for Shortest Path Discovery in Large Social Graphs (LF, JD), pp. 97–107.
ICEIS-v1-2015-Hasheela #comparison #enterprise: On-premise ERP Organizational Post-implementation Practices — Comparison between Large Enterprises and Small and Medium-Sized Enterprises (VH), pp. 243–250.
ICEIS-v1-2015-OsbornM #set: The mqr-tree for Very Large Object Sets (WO, MM), pp. 367–373.
ICEIS-v2-2015-BayaADM #approach #composition #product line: Dynamic Large Scale Product Lines through Modularization Approach (AB, BEA, ID, ZM), pp. 439–444.
CIKM-2015-0002GD #information management #ranking #web: Ranking Deep Web Text Collections for Scalable Information Extraction (PB0, LG, CD), pp. 153–162.
CIKM-2015-AltingovdeCT #distributed #information retrieval: LSDS-IR'15: 2015 Workshop on Large-Scale and Distributed Systems for Information Retrieval (ISA, BBC, NT), pp. 1947–1948.
CIKM-2015-BeecksUH0 #database #multi #performance #similarity: Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases (CB, MSU, JH, TS0), pp. 1241–1250.
CIKM-2015-ChenCSS #graph #named: KSGM: Keynode-driven Scalable Graph Matching (XC, KSC, MLS, PS), pp. 1101–1110.
CIKM-2015-GarimellaMGS #graph: Scalable Facility Location for Massive Graphs on Pregel-like Systems (KG, GDFM, AG, MS), pp. 273–282.
CIKM-2015-JoKB #analysis #gpu #matrix #multi #network #performance #social: Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis (YYJ, SWK, DHB), pp. 1261–1270.
CIKM-2015-KangGWM #algorithm #clustering #network: Scalable Clustering Algorithm via a Triangle Folding Processing for Complex Networks (YK, XG, WW0, DM), pp. 33–42.
CIKM-2015-LiuTL #learning #matrix #multi #named: MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning (LL, PNT, XL), pp. 881–890.
CIKM-2015-RezvaniLXL #identification #network #social: Identifying Top-k Structural Hole Spanners in Large-Scale Social Networks (MR, WL, WX, CL), pp. 263–272.
CIKM-2015-SiersdorferKAZ #how #network #social #using: Who With Whom And How?: Extracting Large Social Networks Using Search Engines (SS, PK, HA, SZ), pp. 1491–1500.
CIKM-2015-Tomkins #analysis: Large-Scale Analysis of Dynamics of Choice Among Discrete Alternatives (AT), p. 1349.
CIKM-2015-WangCWD #ontology #owl #query #towards: Towards Scalable and Complete Query Explanation with OWL 2 EL Ontologies (ZW0, MC, KW, JD), pp. 743–752.
CIKM-2015-WangYWH #proving: Large-Scale Question Answering with Joint Embedding and Proof Tree Decoding (ZW, SY, HW, XH), pp. 1783–1786.
CIKM-2015-Wei0LQST #knowledge base #network: Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances (ZW, JZ0, KL0, ZQ, ZS, GT), pp. 1331–1340.
ICML-2015-Abbasi-YadkoriB #crowdsourcing #markov #problem: Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing (YAY, PLB, XC, AM), pp. 1053–1062.
ICML-2015-Betancourt #monte carlo: The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling (MB), pp. 533–540.
ICML-2015-DjolongaK #modelling: Scalable Variational Inference in Log-supermodular Models (JD, AK), pp. 1804–1813.
ICML-2015-FilipponeE #linear #probability #process: Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) (MF, RE), pp. 1015–1024.
ICML-2015-GanCHCC #analysis #modelling #topic: Scalable Deep Poisson Factor Analysis for Topic Modeling (ZG, CC, RH, DEC, LC), pp. 1823–1832.
ICML-2015-GrosseS #matrix: Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix (RBG, RS), pp. 2304–2313.
ICML-2015-HanMS #probability: Large-scale log-determinant computation through stochastic Chebyshev expansions (IH, DM, JS), pp. 908–917.
ICML-2015-Hernandez-Lobato15b #learning #network #probability: Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks (JMHL, RA), pp. 1861–1869.
ICML-2015-HuHDX #distributed #parametricity: Large-scale Distributed Dependent Nonparametric Trees (ZH, QH, AD, EPX), pp. 1651–1659.
ICML-2015-JohnsonG #named #optimisation: Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization (TJ, CG), pp. 1171–1179.
ICML-2015-LimKPJ #performance #set: Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets (WL, MK, HP, KJ), pp. 1367–1375.
ICML-2015-LiuFFM #modelling #relational: Scalable Model Selection for Large-Scale Factorial Relational Models (CL, LF, RF, YM), pp. 1227–1235.
ICML-2015-MaLF #analysis #canonical #correlation #dataset #linear: Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis (ZM, YL, DPF), pp. 169–178.
ICML-2015-ParkNZSD #collaboration #ranking: Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons (DP, JN, JZ, SS, ISD), pp. 1907–1916.
ICML-2015-SamoR #parametricity #process: Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes (YLKS, SR), pp. 2227–2236.
ICML-2015-SnoekRSKSSPPA #network #optimisation #using: Scalable Bayesian Optimization Using Deep Neural Networks (JS, OR, KS, RK, NS, NS, MMAP, P, RPA), pp. 2171–2180.
ICML-2015-TraskGR #modelling #order #word: Modeling Order in Neural Word Embeddings at Scale (AT, DG, MR), pp. 2266–2275.
ICML-2015-WenKA #combinator #learning #performance: Efficient Learning in Large-Scale Combinatorial Semi-Bandits (ZW, BK, AA), pp. 1113–1122.
ICML-2015-WilsonN #kernel #process: Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) (AGW, HN), pp. 1775–1784.
KDD-2015-Agarwal #machine learning #statistics #web: Scaling Machine Learning and Statistics for Web Applications (DA), p. 1621.
KDD-2015-AhnKLRW #distributed #matrix #probability #using: Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC (SA, AK, NL, SR, MW), pp. 9–18.
KDD-2015-CaoWYR #dataset #online: Online Outlier Exploration Over Large Datasets (LC, MW, DY, EAR), pp. 89–98.
KDD-2015-ElenbergSBD #distributed #framework #graph: Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs (ERE, KS, MB, AGD), pp. 229–238.
KDD-2015-GogaLSTG #network #on the #online #reliability #social: On the Reliability of Profile Matching Across Large Online Social Networks (OG, PL, RS, RT, KPG), pp. 1799–1808.
KDD-2015-GrbovicRDBSBS #e-commerce #recommendation: E-commerce in Your Inbox: Product Recommendations at Scale (MG, VR, ND, NB, JS, VB, DS), pp. 1809–1818.
KDD-2015-HallacLB #clustering #graph #network #optimisation: Network Lasso: Clustering and Optimization in Large Graphs (DH, JL, SB), pp. 387–396.
KDD-2015-KarakasidisKV #privacy: Scalable Blocking for Privacy Preserving Record Linkage (AK, GK, VSV), pp. 527–536.
KDD-2015-KimS: Discovering Collective Narratives of Theme Parks from Large Collections of Visitors’ Photo Streams (GK, LS), pp. 1899–1908.
KDD-2015-LaptevAF #automation #detection #framework: Generic and Scalable Framework for Automated Time-series Anomaly Detection (NL, SA, IF), pp. 1939–1947.
KDD-2015-LucierOS #distributed #network: Influence at Scale: Distributed Computation of Complex Contagion in Networks (BL, JO, YS), pp. 735–744.
KDD-2015-MitzenmacherPPT #clique #detection #network: Scalable Large Near-Clique Detection in Large-Scale Networks via Sampling (MM, JP, RP, CET, SCX), pp. 815–824.
KDD-2015-SethiYRVR #classification #machine learning #using: Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery (MS, YY, AR, RRV, SR), pp. 2069–2078.
KDD-2015-ShanahanD #distributed #using: Large Scale Distributed Data Science using Apache Spark (JGS, LD), pp. 2323–2324.
KDD-2015-TangQM #named #network #predict: PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks (JT, MQ, QM), pp. 1165–1174.
KDD-2015-TranHXFB #coordination #probability: Scaling Up Stochastic Dual Coordinate Ascent (KT, SH, LX, TF, MB), pp. 1185–1194.
KDD-2015-XuCFSB #challenge #framework #network #social #testing: From Infrastructure to Culture: A/B Testing Challenges in Large Scale Social Networks (YX, NC, AF, OS, AB), pp. 2227–2236.
KDD-2015-YanRHC #distributed #learning #modelling #optimisation #performance: Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems (FY, OR, YH, TMC), pp. 1355–1364.
KDD-2015-ZhangTMTJL #named #network #performance #similarity: Panther: Fast Top-k Similarity Search on Large Networks (JZ, JT, CM, HT, YJ, JL), pp. 1445–1454.
KDD-2015-ZhengP #fault #kernel: L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data (YZ, JMP), pp. 1533–1542.
KDD-2015-ZhongLSR #recommendation: Building Discriminative User Profiles for Large-scale Content Recommendation (EZ, NL, YS, SR), pp. 2277–2286.
RecSys-2015-BistaffaFCR #recommendation #social: Recommending Fair Payments for Large-Scale Social Ridesharing (FB, AF, GC, SDR), pp. 139–146.
RecSys-2015-ChristoffelPNB #random #recommendation: Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks (FC, BP, CN, AB), pp. 163–170.
RecSys-2015-HuD #machine learning #recommendation: Scalable Recommender Systems: Where Machine Learning Meets Search (SYDH, JD), pp. 365–366.
RecSys-2015-LerallutGR #realtime #recommendation: Large-Scale Real-Time Product Recommendation at Criteo (RL, DG, NLR), p. 232.
RecSys-2015-Nemeth #recommendation: Scaling Up Recommendation Services in Many Dimensions (BN), p. 233.
SEKE-2015-ZhuSCW #programming #stack overflow #taxonomy: Building a Large-scale Software Programming Taxonomy from Stackoverflow (JZ, BS, XC, HW), pp. 391–396.
SIGIR-2015-Alonso #lessons learnt #quality: Practical Lessons for Gathering Quality Labels at Scale (OA), pp. 1089–1092.
SIGIR-2015-CanutoGSRM #approach #classification #documentation #parallel #performance: An Efficient and Scalable MetaFeature-based Document Classification Approach based on Massively Parallel Computing (SDC, MAG, WS, TR, WM), pp. 333–342.
SIGIR-2015-ChenLZLS #approximate #matrix #named #recommendation: WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation (CC, DL, YZ, QL, LS), pp. 303–312.
SIGIR-2015-EswaranBP #classification #modelling #topic: Modeling Website Topic Cohesion at Scale to Improve Webpage Classification (DE, PNB, JJPI), pp. 787–790.
SIGIR-2015-NovakBZ #image #retrieval #using: Large-scale Image Retrieval using Neural Net Descriptors (DN, MB, PZ), pp. 1039–1040.
SIGIR-2015-PanYLNM #semantics #visual notation: Semi-supervised Hashing with Semantic Confidence for Large Scale Visual Search (YP, TY, HL, CWN, TM), pp. 53–62.
SIGIR-2015-SchamoniR #information retrieval #orthogonal: Combining Orthogonal Information in Large-Scale Cross-Language Information Retrieval (SS, SR), pp. 943–946.
MoDELS-J-2011-Espinazo-PaganCM15 #model management #repository: A repository for scalable model management (JEP, JSC, JGM), pp. 219–239.
ECMFA-2015-BarmpisSK #incremental #towards: Towards Incremental Updates in Large-Scale Model Indexes (KB, SMS, DSK), pp. 137–153.
MoDELS-2015-LettnerEGP #case study #experience #feature model #industrial #lessons learnt #modelling: Feature modeling of two large-scale industrial software systems: Experiences and lessons learned (DL, KE, PG, HP), pp. 386–395.
SPLC-2015-LiangGCR #analysis #feature model #modelling #satisfiability: SAT-based analysis of large real-world feature models is easy (JH(L, VG, KC, VR), pp. 91–100.
ECOOP-2015-ParkR #javascript #precise #static analysis: Scalable and Precise Static Analysis of JavaScript Applications via Loop-Sensitivity (CP, SR), pp. 735–756.
OOPSLA-2015-0003KLS #data type #memory management #multi #performance: Fast, multicore-scalable, low-fragmentation memory allocation through large virtual memory and global data structures (MA, CMK, ML, AS), pp. 451–469.
OOPSLA-2015-BielikRV #android #concurrent #detection: Scalable race detection for Android applications (PB, VR, MTV), pp. 332–348.
PLDI-2015-MehtaY #compilation #optimisation #source code: Improving compiler scalability: optimizing large programs at small price (SM, PCY), pp. 143–152.
POPL-2015-DoddsHK #stack: A Scalable, Correct Time-Stamped Stack (MD, AH, CMK), pp. 233–246.
ASE-2015-KoLDR #framework #javascript #static analysis: Practically Tunable Static Analysis Framework for Large-Scale JavaScript Applications (T) (YK, HL, JD, SR), pp. 541–551.
ASE-2015-KowalTTS #modelling #parametricity #performance #variability: Scaling Size and Parameter Spaces in Variability-Aware Software Performance Models (T) (MK, MT, MT, IS), pp. 407–417.
ASE-2015-LerchSBM #abstraction #analysis #bound #data flow: Access-Path Abstraction: Scaling Field-Sensitive Data-Flow Analysis with Unbounded Access Paths (T) (JL, JS, EB, MM), pp. 619–629.
ESEC-FSE-2015-Florio #adaptation #distributed #self: Decentralized self-adaptation in large-scale distributed systems (LF), pp. 1022–1025.
ESEC-FSE-2015-ParameshwaranBS: Auto-patching DOM-based XSS at scale (IP, EB, SS, HD, AS, PS), pp. 272–283.
ICSE-v1-2015-BaresiKR #ltl #performance #specification #verification: Efficient Scalable Verification of LTL Specifications (LB, MMPK, MR), pp. 711–721.
ICSE-v1-2015-HenardPHT #configuration management #constraints #multi #product line #theorem proving: Combining Multi-Objective Search and Constraint Solving for Configuring Large Software Product Lines (CH, MP, MH, YLT), pp. 517–528.
ICSE-v1-2015-PapadakisJHT #compilation #detection #effectiveness #empirical #equivalence #performance: Trivial Compiler Equivalence: A Large Scale Empirical Study of a Simple, Fast and Effective Equivalent Mutant Detection Technique (MP, YJ, MH, YLT), pp. 936–946.
ICSE-v1-2015-SmithBZ #exclamation #tool support: Build It Yourself! Homegrown Tools in a Large Software Company (EKS, CB, TZ), pp. 369–379.
ICSE-v1-2015-WeissRL #fault #program analysis: Database-Backed Program Analysis for Scalable Error Propagation (CW, CRG, BL), pp. 586–597.
ICSE-v2-2015-BishopHXTH #contest #experience: Code Hunt: Experience with Coding Contests at Scale (JB, RNH, TX, NT, JdH), pp. 398–407.
ICSE-v2-2015-DybaD #agile #development #project management #self: Agile Project Management: From Self-Managing Teams to Large-Scale Development (TD, TD), pp. 945–946.
ICSE-v2-2015-Jiang #testing: Load Testing Large-Scale Software Systems (ZMJJ), pp. 955–956.
ICSE-v2-2015-Kallehbasti #modelling #uml #verification: Scalable Formal Verification of UML Models (MMPK), pp. 847–850.
ICSE-v2-2015-KlasBDSH #analysis #evaluation #modelling #testing: A Large-Scale Technology Evaluation Study: Effects of Model-based Analysis and Testing (MK, TB, AD, TS, PH), pp. 119–128.
ICSE-v2-2015-RajanNL0 #behaviour #repository #specification: Inferring Behavioral Specifications from Large-scale Repositories by Leveraging Collective Intelligence (HR, TNN, GTL, RD), pp. 579–582.
ICSE-v2-2015-Vendome #case study #git: A Large Scale Study of License Usage on GitHub (CV), pp. 772–774.
ICSE-v2-2015-Zhang #mutation testing #testing: Scalability Studies on Selective Mutation Testing (JZ), pp. 851–854.
SAC-2015-BarringtonFD #multi: A scalable multi-producer multi-consumer wait-free ring buffer (AB, SDF, DD), pp. 1321–1328.
SAC-2015-BergentiCG #framework #game studies #mobile #platform #social: A scalable platform for mobile social gaming (FB, GC, DG), pp. 2239–2244.
SAC-2015-CanoA #feedback #multi #streaming: Feedback management for scaling clients in streaming multicast (JC, LA), pp. 669–671.
SAC-2015-CharuvakaR #approximate #classification #coordination: Approximate block coordinate descent for large scale hierarchical classification (AC, HR), pp. 837–844.
SAC-2015-ChengKWT #semantics #throughput #web: High throughput indexing for large-scale semantic web data (LC, SK, TEW, GT), pp. 416–422.
SAC-2015-KambonaBM #middleware #named #realtime #web: Serena: scalable middleware for real-time web applications (KK, EGB, WDM), pp. 802–805.
SAC-2015-KimK #using: Dual region write buffering: making large-scale nonvolatile buffer using small capacitor in SSD (DK, SK), pp. 2039–2046.
SAC-2015-MinHJCH #distributed #performance #process: An efficient backup-recovery technique to process large data in distributed key-value store (DM, TH, JJ, YC, JH), pp. 2072–2074.
SAC-2015-MonteiroL #clustering #power management #web: Scalable model for dynamic configuration and power management in virtualized heterogeneous web clusters (AFM, OL), pp. 464–467.
SAC-2015-MukherjeeKCDCM #as a service #design #framework #performance #platform: Performance characterization and scalable design of sensing-as-a-service platform (TM, AK, DC, KD, AC, AM), pp. 592–595.
SAC-2015-RiediBP #algorithm #performance: Channel and power allocation algorithm to optimize the performance of large WLANs (MR, GGB, MEP), pp. 673–679.
SAC-2015-SarmentoCG #evolution #visualisation: Visualization of evolving large scale ego-networks (RS, MC, JG), pp. 960–962.
GPCE-2015-AlsharaSTBDS #component #inheritance #migration #object-oriented: Migrating large object-oriented Applications into component-based ones: instantiation and inheritance transformation (ZA, ADS, CT, HLB, CD, AS), pp. 55–64.
ASPLOS-2015-DavidGT #concurrent #data type: Asynchronized Concurrency: The Secret to Scaling Concurrent Search Data Structures (TD, RG, VT), pp. 631–644.
ASPLOS-2015-MatveevS #hardware #hybrid #memory management #transaction: Reduced Hardware NOrec: A Safe and Scalable Hybrid Transactional Memory (AM, NS), pp. 59–71.
CASE-2015-GallertLRJT #2d #3d #biology #industrial #throughput: Biological high throughput screening of 2D and 3D cell cultures for future industrial up-scaling (CG, RL, TR, SJ, KT), pp. 1527–1532.
CASE-2015-WatteyneAV #lessons learnt: Lessons learned from large-scale dense IEEE802.15.4 connectivity traces (TW, CA, XV), pp. 145–150.
CC-2015-AllenSK #analysis #points-to #staged: Staged Points-to Analysis for Large Code Bases (NA, BS, PK), pp. 131–150.
CC-2015-HollingumS #context-free grammar #framework #reachability #towards: Towards a Scalable Framework for Context-Free Language Reachability (NH, BS), pp. 193–211.
CGO-2015-OanceaR #analysis #induction: Scalable conditional induction variables (CIV) analysis (CEO, LR), pp. 213–224.
DAC-2015-ChiangCLJ #design #power management: Scalable sequence-constrained retention register minimization in power gating design (TWC, KHC, YTL, JHRJ), p. 6.
DAC-2015-HanF #analysis #approach #cpu #gpu #graph: Transient-simulation guided graph sparsification approach to scalable harmonic balance (HB) analysis of post-layout RF circuits leveraging heterogeneous CPU-GPU computing systems (LH, ZF), p. 6.
DAC-2015-PolianF #architecture #automation #challenge #design #quantum: Design automation challenges for scalable quantum architectures (IP, AGF), p. 6.
DAC-2015-TavanaHPSH #named: ElasticCore: enabling dynamic heterogeneity with joint core and voltage/frequency scaling (MKT, MHH, DP, IS, HH), p. 6.
DAC-2015-WenWHLHLC #framework #hybrid: An EDA framework for large scale hybrid neuromorphic computing systems (WW, CRW, XH, BL, TYH, XL, YC), p. 6.
DAC-2015-ZhuangYKWC #algorithm #exponential #framework #performance #simulation #using: An algorithmic framework for efficient large-scale circuit simulation using exponential integrators (HZ, WY, IK, XW, CKC), p. 6.
DATE-2015-0001KVSMA #adaptation #embedded #energy #nondeterminism: Workload uncertainty characterization and adaptive frequency scaling for energy minimization of embedded systems (AD, AK, BV, RAS, GVM, BMAH), pp. 43–48.
DATE-2015-BalboniFB #configuration management #distributed #latency #multi #network #using: Synergistic use of multiple on-chip networks for ultra-low latency and scalable distributed routing reconfiguration (MB, JF, DB), pp. 806–811.
DATE-2015-GomonyGAAG #memory management #realtime: A generic, scalable and globally arbitrated memory tree for shared DRAM access in real-time systems (MDG, JG, BA, NCA, KGWG), pp. 193–198.
DATE-2015-HuangHC #algorithm #clustering #framework #multi #problem: Clustering-based multi-touch algorithm framework for the tracking problem with a large number of points (SLH, SYH, CPC), pp. 719–724.
DATE-2015-MunchPHH #embedded #manycore #named #realtime #using: MPIOV: scaling hardware-based I/O virtualization for mixed-criticality embedded real-time systems using non transparent bridges to (multi-core) multi-processor systems (DM, MP, OH, AH), pp. 579–584.
DATE-2015-SuHL #encoding #named #recognition: SubHunter: a high-performance and scalable sub-circuit recognition method with Prüfer-encoding (HYS, CHH, YLL), pp. 1583–1586.
DATE-2015-WaqasGKSBSVC #heuristic #online #scheduling: A re-entrant flowshop heuristic for online scheduling of the paper path in a large scale printer (UW, MG, JK, LJS, TB, SS, PV, HC), pp. 573–578.
DATE-2015-WeiDC #architecture #memory management #multi: A scalable and high-density FPGA architecture with multi-level phase change memory (CW, AD, DC), pp. 1365–1370.
DATE-2015-ZhangZCY: Exploiting DRAM restore time variations in deep sub-micron scaling (XZ, YZ, BRC, JY), pp. 477–482.
HPCA-2015-BeckmannTS #distributed: Scaling distributed cache hierarchies through computation and data co-scheduling (NB, PAT, DS), pp. 538–550.
HPCA-2015-MenezoPG #energy #hybrid #performance #protocol: Flask coherence: A morphable hybrid coherence protocol to balance energy, performance and scalability (LGM, VP, JÁG), pp. 198–209.
HPCA-2015-NeuwirthFNB #architecture #communication: Scalable communication architecture for network-attached accelerators (SN, DF, MN, UB), pp. 627–638.
HPCA-2015-TiwariGRMRVOLDN #comprehension #design #fault #gpu: Understanding GPU errors on large-scale HPC systems and the implications for system design and operation (DT, SG, JHR, DM, PR, SSV, DAGdO, DL, ND, POAN, LC, ASB), pp. 331–342.
HPCA-2015-WangM #approach #architecture #manycore #named #resource management: XChange: A market-based approach to scalable dynamic multi-resource allocation in multicore architectures (XW, JFM), pp. 113–125.
HPCA-2015-WonKKJPS #network: Overcoming far-end congestion in large-scale networks (JW, GK, JK, TJ, MP, SS), pp. 415–427.
HPCA-2015-ZhaoY #analysis #distance #manycore #reuse: Studying the impact of multicore processor scaling on directory techniques via reuse distance analysis (MZ, DY), pp. 590–602.
HPDC-2015-AkiyamaT #concurrent #thread: Uni-Address Threads: Scalable Thread Management for RDMA-Based Work Stealing (SA, KT), pp. 15–26.
HPDC-2015-KaxirasKNRS #approach #distributed #execution #memory management: Turning Centralized Coherence and Distributed Critical-Section Execution on their Head: A New Approach for Scalable Distributed Shared Memory (SK, DK, MN, AR, KFS), pp. 3–14.
HPDC-2015-WahibM #automation #gpu #kernel: Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications (MW, NM), pp. 259–270.
HPDC-2015-WangZQLMR #consistency #distributed #towards: Towards Scalable Distributed Workload Manager with Monitoring-Based Weakly Consistent Resource Stealing (KW, XZ, KQ, ML, BM, IR), pp. 219–222.
PDP-2015-ConinckKVSBMF #algebra #matrix #parallel #predict #towards: Towards Parallel Large-Scale Genomic Prediction by Coupling Sparse and Dense Matrix Algebra (ADC, DK, FV, OS, BDB, SM, JF), pp. 747–750.
PDP-2015-Eitschberger0 #energy #manycore #scheduling: Energy-Efficient Task Scheduling in Manycore Processors with Frequency Scaling Overhead (PE, JK), pp. 541–548.
PDP-2015-El-KazzazE #detection #framework #ubiquitous #using: A Hadoop-Based Framework for Large-Scale Landmine Detection Using Ubiquitous Big Satellite Imaging Data (SEK, AEM), pp. 274–278.
PDP-2015-MorenoULC #data flow #framework #named #performance: NanoCheckpoints: A Task-Based Asynchronous Dataflow Framework for Efficient and Scalable Checkpoint/Restart (JAM, OSÜ, JL, AC), pp. 99–102.
PDP-2015-RohrL #flexibility #library #multi: A Flexible and Portable Large-Scale DGEMM Library for Linpack on Next-Generation Multi-GPU Systems (DR, VL), pp. 664–668.
PPoPP-2015-AlistarhKLS #queue: The SprayList: a scalable relaxed priority queue (DA, JK, JL, NS), pp. 11–20.
PPoPP-2015-ArbelM #concurrent: Predicate RCU: an RCU for scalable concurrent updates (MA, AM), pp. 21–30.
PPoPP-2015-Golan-GuetaRSY #automation #semantics: Automatic scalable atomicity via semantic locking (GGG, GR, MS, EY), pp. 31–41.
PPoPP-2015-SeoKK #graph #named #streaming: GStream: a graph streaming processing method for large-scale graphs on GPUs (HS, JK, MSK), pp. 253–254.
PPoPP-2015-ThebaultPD #3d #assembly #case study #implementation #matrix #performance: Scalable and efficient implementation of 3d unstructured meshes computation: a case study on matrix assembly (LT, EP, QD), pp. 120–129.
SOSP-2015-AguileraLW #named #sql #web: Yesquel: scalable sql storage for web applications (MKA, JBL, MW), pp. 245–262.
SOSP-2015-FangNXDL #memory management #source code: Interruptible tasks: treating memory pressure as interrupts for highly scalable data-parallel programs (LF, KN, G(X, BD, SL), pp. 394–409.
SOSP-2015-HooffLZZ #analysis #named: Vuvuzela: scalable private messaging resistant to traffic analysis (JvdH, DL, MZ, NZ), pp. 137–152.
SOSP-2015-LeePKMO #implementation #latency: Implementing linearizability at large scale and low latency (CL, SJP, AK, SM, JKO), pp. 71–86.
FASE-2015-GomezTSC #modelling #persistent: Map-Based Transparent Persistence for Very Large Models (AG, MT, GS, JC), pp. 19–34.
STOC-2015-DingSS #proving #satisfiability: Proof of the Satisfiability Conjecture for Large k (JD, AS, NS), pp. 59–68.
TACAS-2015-ChakrabortyFMSV #generative #on the #parallel #satisfiability: On Parallel Scalable Uniform SAT Witness Generation (SC, DJF, KSM, SAS, MYV), pp. 304–319.
TACAS-2015-GuanTAS0 #analysis #refinement: Scalable Timing Analysis with Refinement (NG, YT, JA, MS, WY), pp. 3–18.
TACAS-2015-KumarSK #concept #slicing: Value Slice: A New Slicing Concept for Scalable Property Checking (SK, AS, UPK), pp. 101–115.
ICLP-J-2015-MannaRT #consistency #query: Taming primary key violations to query large inconsistent data via ASP (MM, FR, GT), pp. 696–710.
ICST-2015-LiEGO #big data #framework: A Scalable Big Data Test Framework (NL, AE, YG, JO), pp. 1–2.
ISSTA-2015-HuangDMD #analysis #android #precise: Scalable and precise taint analysis for Android (WH, YD, AM, JD), pp. 106–117.
ISSTA-2015-WangGMC #android #approach #clone detection #detection #named: WuKong: a scalable and accurate two-phase approach to Android app clone detection (HW, YG, ZM, XC), pp. 71–82.
SAT-2015-MangalZNN #framework #lazy evaluation #named #satisfiability: Volt: A Lazy Grounding Framework for Solving Very Large MaxSAT Instances (RM, XZ, AVN, MN), pp. 299–306.
TAP-2015-AichernigNT #behaviour #generative #incremental #modelling #testing: Scalable Incremental Test-case Generation from Large Behavior Models (BKA, DN, ST), pp. 1–18.
ECSA-2014-XiongFPM #architecture #as a service #cost analysis #performance #platform: Scalable Architectures for Platform-as-a-Service Clouds: Performance and Cost Analysis (HX, FF, CP, NM), pp. 226–233.
WICSA-2014-AmorimAM #architecture #ecosystem: Scalability of Ecosystem Architectures (SdSA, ESdA, JDM), pp. 49–52.
DRR-2014-JainOD #documentation #image #retrieval #using: Scalable ranked retrieval using document images (RJ, DWO, DSD), p. ?–15.
HT-2014-AbbasiTL #learning #using: Scalable learning of users’ preferences using networked data (MAA, JT, HL), pp. 4–12.
HT-2014-ChengKWT #architecture #distributed #memory management #performance #rdf: A two-tier index architecture for fast processing large RDF data over distributed memory (LC, SK, TEW, GT), pp. 300–302.
HT-2014-GouritenMS #adaptation #crawling: Scalable, generic, and adaptive systems for focused crawling (GG, SM, PS), pp. 35–45.
HT-2014-LacicKT #named #online #recommendation #social: SocRecM: a scalable social recommender engine for online marketplaces (EL, DK, CT), pp. 308–310.
JCDL-2014-ChenKG #library #metadata: The feasibility of investing in manual correction of metadata for a large-scale digital library (HHC, MK, CLG), pp. 225–228.
JCDL-2014-GaoWLXMW #performance #retrieval: Fast Image-based Chinese Calligraphic Character Retrieval on Large Scale Data (PG, JW, YL, YX, TM, BW), pp. 211–220.
JCDL-2014-Hall #library: Explore the stacks: A system for exploration in large digital libraries (MMH), pp. 417–418.
JCDL-2014-JurikBFM #repository: Bridging the gap between real world repositories and Scalable Preservation Environments (BAJ, AAB, RBFN, PMD), pp. 127–136.
JCDL-2014-KanhabuaNN #analysis #memory management #what #wiki: What triggers human remembering of events? A large-scale analysis of catalysts for collective memory in Wikipedia (NK, TNN, CN), pp. 341–350.
JCDL-2014-ZhouTG #analysis #web: Extraction and analysis of referenced web links in large-scale scholarly articles (KZ, RT, CG), pp. 451–452.
SIGMOD-2014-AlvanakiM #correlation #set: Tracking set correlations at large scale (FA, SM), pp. 1507–1518.
SIGMOD-2014-BailisFHGS #transaction: Scalable atomic visibility with RAMP transactions (PB, AF, JMH, AG, IS), pp. 27–38.
SIGMOD-2014-CaiGLPVJ #algorithm #comparison #implementation #machine learning #platform: A comparison of platforms for implementing and running very large scale machine learning algorithms (ZC, ZJG, SL, LLP, ZV, CMJ), pp. 1371–1382.
SIGMOD-2014-ChenGLMPVK #manycore #named: Palette: enabling scalable analytics for big-memory, multicore machines (FC, TG, JL, MM, JP, KV, MK), pp. 705–708.
SIGMOD-2014-CuiXWW #community #graph: Local search of communities in large graphs (WC, YX, HW, WW), pp. 991–1002.
SIGMOD-2014-HuangCQTY #community #graph #query: Querying k-truss community in large and dynamic graphs (XH, HC, LQ, WT, JXY), pp. 1311–1322.
SIGMOD-2014-KaranasosBKOEXJ #optimisation #platform #query: Dynamically optimizing queries over large scale data platforms (KK, AB, MK, FÖ, VE, CX, JJ), pp. 943–954.
SIGMOD-2014-KimHLPY #framework #graph #named #parallel: OPT: a new framework for overlapped and parallel triangulation in large-scale graphs (JK, WSH, SL, KP, HY), pp. 637–648.
SIGMOD-2014-KusumotoMK #similarity: Scalable similarity search for SimRank (MK, TM, KiK), pp. 325–336.
SIGMOD-2014-LiuWZZK #behaviour #modelling #named #social: HYDRA: large-scale social identity linkage via heterogeneous behavior modeling (SL, SW, FZ, JZ, RK), pp. 51–62.
SIGMOD-2014-MondalD #graph #named #query: EAGr: supporting continuous ego-centric aggregate queries over large dynamic graphs (JM, AD), pp. 1335–1346.
SIGMOD-2014-PolychroniouR #clustering #in memory: A comprehensive study of main-memory partitioning and its application to large-scale comparison- and radix-sort (OP, KAR), pp. 755–766.
SIGMOD-2014-QinYCCZL #graph #pipes and filters: Scalable big graph processing in MapReduce (LQ, JXY, LC, HC, CZ, XL), pp. 827–838.
SIGMOD-2014-ShaoCCMYX #graph #parallel: Parallel subgraph listing in a large-scale graph (YS, BC, LC, LM, JY, NX), pp. 625–636.
SIGMOD-2014-WuJZ #graph #nearest neighbour #performance #query #random: Fast and unified local search for random walk based k-nearest-neighbor query in large graphs (YW, RJ, XZ), pp. 1139–1150.
SIGMOD-2014-ZengGGMZ #approximate #named #query: ABS: a system for scalable approximate queries with accuracy guarantees (KZ, SG, JG, BM, CZ), pp. 1067–1070.
SIGMOD-2014-ZhangYFLY #named #realtime: OceanRT: real-time analytics over large temporal data (SZ, YY, WF, LL, MY), pp. 1099–1102.
SIGMOD-2014-ZhuLWX #approach #graph #order #query #reachability: Reachability queries on large dynamic graphs: a total order approach (ADZ, WL, SW, XX), pp. 1323–1334.
VLDB-2014-AlsubaieeAABBBCCCFGGHKLLOOPTVWW #named #open source: AsterixDB: A Scalable, Open Source BDMS (SA, YA, HA, AB, VRB, YB, MJC, IC, MC, KF, EG, RG, ZH, YSK, CL, GL, JMO, NO, PP, VJT, RV, JW, TW), pp. 1905–1916.
VLDB-2014-BoehmTRSTBV #hybrid #machine learning #parallel: Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML (MB, ST, BR, PS, YT, DB, SV), pp. 553–564.
VLDB-2014-BrunoKW #distributed: Advanced Join Strategies for Large-Scale Distributed Computation (NB, YK, MCW), pp. 1484–1495.
VLDB-2014-ElseidyASK #graph #mining #named: GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph (ME, EA, SS, PK), pp. 517–528.
VLDB-2014-ElseidyEVK #adaptation #online: Scalable and Adaptive Online Joins (ME, AE, AV, CK), pp. 441–452.
VLDB-2014-GuptaSGGZLL #detection #graph #online #realtime #recommendation #twitter: Real-Time Twitter Recommendation: Online Motif Detection in Large Dynamic Graphs (PG, VS, AG, SG, VZ, QL, JL), pp. 1379–1380.
VLDB-2014-GuptaYGKCLWDKABHCSJSGVA #named #realtime: Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing (AG, FY, JG, AK, KC, KL, SW, SGD, ARK, AA, SB, MH, JC, MS, DJ, JS, AG, SV, DA), pp. 1259–1270.
VLDB-2014-HuangBJW #network #realtime: Large Scale Real-time Ridesharing with Service Guarantee on Road Networks (YH, FB, RJ, XSW), pp. 2017–2028.
VLDB-2014-Jiang0OTW #big data #named: epiC: an Extensible and Scalable System for Processing Big Data (DJ, GC, BCO, KLT, SW), pp. 541–552.
VLDB-2014-KonstantinidisA #constraints #integration #optimisation: Optimizing the Chase: Scalable Data Integration under Constraints (GK, JLA), pp. 1869–1880.
VLDB-2014-KuhlenkampKR #benchmark #database #distributed #metric: Benchmarking Scalability and Elasticity of Distributed Database Systems (JK, MK, OR), pp. 1219–1230.
VLDB-2014-Lu0OVW #named #pipes and filters: ScalaGiST: Scalable Generalized Search Trees for MapReduce Systems [Innovative Systems Paper] (PL, GC, BCO, HTV, SW), pp. 1797–1808.
VLDB-2014-MahmoudANAA #coordination #distributed #effectiveness #in the cloud #named #transaction: MaaT: Effective and scalable coordination of distributed transactions in the cloud (HAM, VA, FN, DA, AEA), pp. 329–340.
VLDB-2014-QuamarDL #graph #named: NScale: Neighborhood-centric Analytics on Large Graphs (AQ, AD, JL), pp. 1673–1676.
VLDB-2014-SerafiniMASRM #database #distributed #named #transaction: Accordion: Elastic Scalability for Database Systems Supporting Distributed Transactions (MS, EM, AA, KS, TR, UFM), pp. 1035–1046.
VLDB-2014-SimmenSDHLMSTX #big data #graph: Large-Scale Graph Analytics in Aster 6: Bringing Context to Big Data Discovery (DES, KS, JD, YH, SL, AM, VS, MT, YX), pp. 1405–1416.
VLDB-2014-SuhSZ #empirical #information management #named: AZDBLab: A Laboratory Information System for Large-Scale Empirical DBMS Studies (YKS, RTS, RZ), pp. 1641–1644.
VLDB-2014-SunRYD #classification #crowdsourcing #machine learning #named #using: Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing (CS, NR, FY, AD), pp. 1529–1540.
VLDB-2014-VemuriVPL #execution: Execution Primitives for Scalable Joins and Aggregations in Map Reduce (SV, MV, KP, RL), pp. 1462–1473.
VLDB-2014-WangJ #memory management: Scalable Logging through Emerging Non-Volatile Memory (TW, RJ), pp. 865–876.
VLDB-2014-YuanDZLNHWDY #distributed #mobile #named: OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data (MY, KD, JZ, YL, BN, XH, FW, WD, QY), pp. 1561–1564.
VLDB-2014-ZhangYFW #design #implementation #interactive #realtime: Design and Implementation of a Real-Time Interactive Analytics System for Large Spatio-Temporal Data (SZ, YY, WF, MW), pp. 1754–1759.
VLDB-2015-El-KishkySWVH14 #corpus #mining #topic: Scalable Topical Phrase Mining from Text Corpora (AEK, YS, CW, CRV, JH), pp. 305–316.
VLDB-2015-FujiwaraIKO14 #image #ranking #retrieval: Scaling Manifold Ranking Based Image Retrieval (YF, GI, SK, MO), pp. 341–352.
VLDB-2015-LuCYW14 #distributed #evaluation #graph: Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation (YL, JC, DY, HW), pp. 281–292.
VLDB-2015-MozafariSFJM14 #dataset #learning: Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning (BM, PS, MJF, MIJ, SM), pp. 125–136.
VLDB-2015-ZengPP14 #induction #logic programming #named: QuickFOIL: Scalable Inductive Logic Programming (QZ, JMP, DP), pp. 197–208.
VLDB-2015-ZhouGSY14 #distributed #graph #named #online #using: MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing (CZ, JG, BS, JXY), pp. 377–388.
EDM-2014-BakerO #detection #effectiveness: Cost-Effective, Actionable Engagement Detection at Scale (RSB, JO), pp. 345–346.
EDM-2014-WixonAMBRW #detection: The Opportunities and Limitations of Scaling Up Sensor-Free Affect Detection (MW, IA, KM, WB, DR, BPW), pp. 145–152.
ITiCSE-2014-KothiyalMI #learning #question: Think-pair-share in a large CS1 class: does learning really happen? (AK, SM, SI), pp. 51–56.
ITiCSE-2014-RomeroTPKCAL #case study #interactive: Augmenting PBL with large public presentations: a case study in interactive graphics pedagogy (MR, BT, CP, FK, JC, JA, NL), pp. 15–20.
CSMR-WCRE-2014-AutiliIT #internet #named: CHOREOS: Large scale choreographies for the future internet (MA, PI, MT), pp. 391–394.
ICPC-2014-GuptaSVU #assessment #industrial #named #quality: SCQAM: a scalable structured code quality assessment method for industrial software (SG, HKS, RDV, UU), pp. 244–252.
ICSME-2014-KyriakakisC #maintenance #php #web: Maintenance Patterns of Large-Scale PHP Web Applications (PK, AC), pp. 381–390.
ICSME-2014-LandmanSV #analysis #corpus #empirical #java: Empirical Analysis of the Relationship between CC and SLOC in a Large Corpus of Java Methods (DL, AS, JJV), pp. 221–230.
ICSME-2014-MongioviMGSR #refactoring #testing: Scaling Testing of Refactoring Engines (MM, GM, RG, GS, MR), pp. 371–380.
ICSME-2014-ZhangHD #automation #parallel #simulation #tool support #validation: Tools for Enabling Automatic Validation of Large-Scale Parallel Application Simulations (DZ, GH, DD), pp. 601–604.
MSR-2014-FarahTC #analysis #architecture #named #quality: OpenHub: a scalable architecture for the analysis of software quality attributes (GF, JST, DC), pp. 420–423.
SCAM-2014-KargenS #performance #slicing: Efficient Utilization of Secondary Storage for Scalable Dynamic Slicing (UK, NS), pp. 155–164.
SCAM-2014-TliliFBDH #security #verification: Scalable Security Verification of Software at Compile Time (ST, JMF, AB, BD, SH), pp. 115–124.
CIAA-2014-BrzozowskiS: Large Aperiodic Semigroups (JAB, MS), pp. 124–135.
Haskell-2014-MaierST #domain-specific language #reliability: The HdpH DSLs for scalable reliable computation (PM0, RJS, PT), pp. 65–76.
ICFP-2014-ChenAT #functional #programming #self: Functional programming for dynamic and large data with self-adjusting computation (YC, UAA, KT), pp. 227–240.
IFL-2014-AchtenSDP #composition #interactive #programming: Task Oriented Programming with Purely Compositional Interactive Scalable Vector Graphics (PA, JS, LD, RP), p. 7.
AIIDE-2014-PlchMOCGB: An AI System for Large Open Virtual World (TP, MM, PO, MC0, JG, CB).
CIG-2014-BarrosT #game studies: Exploring a large space of small games (GABB, JT), pp. 1–2.
CIG-2014-SifaBD #modelling: The Playtime Principle: Large-scale cross-games interest modeling (RS, CB, AD), pp. 1–8.
CHI-2014-DengRKBBF #multi: Scalable multi-label annotation (JD, OR, JK, MSB, ACB, FFL), pp. 3099–3102.
CHI-2014-FeltRAC: Experimenting at scale with google chrome’s SSL warning (APF, RWR, HA, SC), pp. 2667–2670.
CHI-2014-JotaLWJ #how: Let’s kick it: how to stop wasting the bottom third of your large screen display (RJ, PL, DW, JAJ), pp. 1411–1414.
CHI-2014-PedersenSH #using: Is my phone alive?: a large-scale study of shape change in handheld devices using videos (EWP, SS, KH), pp. 2579–2588.
CHI-2014-ShiraziHDPWS #assessment #mobile: Large-scale assessment of mobile notifications (ASS, NH, TD, MP, DW, AS), pp. 3055–3064.
CHI-2014-Unander-ScharinUH #interactive: The vocal chorder: empowering opera singers with a large interactive instrument (CUS, ÅUS, KH), pp. 1001–1010.
CSCW-2014-BhattacharyaGKMZGG #microblog #topic #twitter: Deep Twitter diving: exploring topical groups in microblogs at scale (PB, SG, JK, MM, MBZ, NG, KPG), pp. 197–210.
CSCW-2014-Ribes #framework #how #research: Ethnography of scaling, or, how to a fit a national research infrastructure in the room (DR), pp. 158–170.
DUXU-DI-2014-FigueiredoPNMTTAF #industrial #navigation: In-Place Natural and Effortless Navigation for Large Industrial Scenarios (LSF, MP, EVN, TM, JMXNT, VT, PA, DQdF), pp. 550–561.
DUXU-DP-2014-KarapantelakisG #deployment #design #effectiveness #evaluation #social: Design, Deployment and Evaluation of a Social Tool for Developing Effective Working Relationships in Large Organizations (AK, YG), pp. 49–60.
DUXU-DP-2014-ZhangZLH #experience #platform #research #usability #user interface: Cross-Platform Product Usability and Large Screen User Experience: A Teleconference System U&E Research (YZ, CZ, GL, TH), pp. 469–479.
HCI-TMT-2014-LatoschikF #multimodal #reuse: Engineering Variance: Software Techniques for Scalable, Customizable, and Reusable Multimodal Processing (MEL, MF), pp. 308–319.
HIMI-DE-2014-ValdezSZH #clustering #network #platform #research #social #visualisation: Enhancing Interdisciplinary Cooperation by Social Platforms — Assessing the Usefulness of Bibliometric Social Network Visualization in Large-Scale Research Clusters (ACV, AKS, MZ, AH), pp. 298–309.
VISSOFT-2014-BlouinMBS #metamodelling #visualisation: Slicing-Based Techniques for Visualizing Large Metamodels (AB, NM, BB, HAS), pp. 25–29.
EDOC-2014-KurodaG #dependence #modelling: Model-Based IT Change Management for Large System Definitions with State-Related Dependencies (TK, ASG), pp. 170–179.
ICEIS-v1-2014-ChinoGRTT #named: TrieMotif — A New and Efﬁcient Method to Mine Frequent K-Motifs from Large Time Series (DYTC, RRdVG, LASR, CTJ, AJMT), pp. 60–69.
ICEIS-v1-2014-KahkonenMS #enterprise #integration #what: What Are the Factors Affecting ERP System Integration? — Observations from a Large Manufacturing Enterprise (TK, AM, KS), pp. 5–17.
CIKM-2014-CohenDPW #sketching: Sketch-based Influence Maximization and Computation: Scaling up with Guarantees (EC, DD, TP, RFW), pp. 629–638.
CIKM-2014-KalyanakrishnanSK #on the #online: On Building Decision Trees from Large-scale Data in Applications of On-line Advertising (SK, DS, RK), pp. 669–678.
CIKM-2014-LiuXCXTY #approach #bound #linear #network #social: Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach (QL, BX, EC, HX, FT, JXY), pp. 171–180.
CIKM-2014-QianSS #database #multi #statistics: Computing Multi-Relational Sufficient Statistics for Large Databases (ZQ, OS, YLS), pp. 1249–1258.
CIKM-2014-RenTOS #how #people #web: How People Use the Web in Large Indoor Spaces (YR, MT, KO, MS), pp. 1879–1882.
CIKM-2014-SpirinHDKB #analysis #facebook #graph #network #online #people #query #social: People Search within an Online Social Network: Large Scale Analysis of Facebook Graph Search Query Logs (NVS, JH, MD, KGK, MB), pp. 1009–1018.
CIKM-2014-TongWZ #incremental #repository: Compact Auxiliary Dictionaries for Incremental Compression of Large Repositories (JT, AW, JZ), pp. 1629–1638.
CIKM-2014-TongZC0 #graph #nondeterminism #performance #probability: Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs (YT, XZ, CCC, LC), pp. 809–818.
CIKM-2014-UysalBSS #approximate #database #distance #multi #performance #using: Efficient Filter Approximation Using the Earth Mover’s Distance in Very Large Multimedia Databases with Feature Signatures (MSU, CB, JS, TS), pp. 979–988.
CIKM-2014-VatsalanC #database #multi #privacy: Scalable Privacy-Preserving Record Linkage for Multiple Databases (DV, PC), pp. 1795–1798.
CIKM-2014-WangSZS #performance #semantics #similarity: Sparse Semantic Hashing for Efficient Large Scale Similarity Search (QW, BS, ZZ, LS), pp. 1899–1902.
CIKM-2014-WuF #documentation #query: Document Prioritization for Scalable Query Processing (HW, HF), pp. 1609–1618.
CIKM-2014-YangQ #image #mobile #retrieval #verification: Spatial Verification for Scalable Mobile Image Retrieval (XY, XQ), pp. 1903–1906.
CIKM-2014-YinG #distributed: Scalable Distributed Belief Propagation with Prioritized Block Updates (JY, LG), pp. 1209–1218.
CIKM-2014-YuanW0 #graph #nondeterminism #query: Pattern Match Query in a Large Uncertain Graph (YY, GW, LC), pp. 519–528.
CIKM-2014-YuanWYC #big data #database #grid #staged: Rubato DB: A Highly Scalable Staged Grid Database System for OLTP and Big Data Applications (LYY, LW, JHY, YC), pp. 1–10.
CIKM-2014-YuX #interactive #learning #network #predict #social: Learning Interactions for Social Prediction in Large-scale Networks (XY, JX), pp. 161–170.
CIKM-2014-ZhangKLCY #approach #named: NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites (JZ, XK, RJL, YC, PSY), pp. 709–718.
CIKM-2014-ZhangP #graph #nondeterminism: Scalable Vaccine Distribution in Large Graphs given Uncertain Data (YZ, BAP), pp. 1719–1728.
CIKM-2014-ZhengZLHZ #graph #performance: Efficient Subgraph Skyline Search Over Large Graphs (WZ, LZ, XL, LH, DZ), pp. 1529–1538.
ECIR-2014-HoulsbyC #probability: A Scalable Gibbs Sampler for Probabilistic Entity Linking (NH, MC), pp. 335–346.
ECIR-2014-YangPSS #case study #e-commerce #query #using: A Study of Query Term Deletion Using Large-Scale E-commerce Search Logs (BY, NP, GS, NS), pp. 235–246.
ICML-c1-2014-BardenetDH #adaptation #approach #markov #monte carlo #towards: Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach (RB, AD, CCH), pp. 405–413.
ICML-c1-2014-MannM #approximate #policy: Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations (TAM, SM), pp. 127–135.
ICML-c1-2014-Yu0KD #learning #multi: Large-scale Multi-label Learning with Missing Labels (HFY, PJ, PK, ISD), pp. 593–601.
ICML-c2-2014-AgarwalKKSV #multi #predict: 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: Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications (SB, NQ, SN, ZG), pp. 334–342.
ICML-c2-2014-ChakrabartiFCM #multi #network: Joint Inference of Multiple Label Types in Large Networks (DC, SF, JC, SAM), pp. 874–882.
ICML-c2-2014-Hernandez-LobatoHG #matrix #modelling #probability: Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices (JMHL, NH, ZG), pp. 379–387.
ICML-c2-2014-HuangCG #estimation: Scalable Semidefinite Relaxation for Maximum A Posterior Estimation (QXH, YC, LJG), pp. 64–72.
ICML-c2-2014-KimO #process: Hierarchical Dirichlet Scaling Process (DK, AHO), pp. 973–981.
ICML-c2-2014-MalekAB #linear #markov #problem #programming: Linear Programming for Large-Scale Markov Decision Problems (AM, YAY, PLB), pp. 496–504.
ICML-c2-2014-MinskerSLD #robust: Scalable and Robust Bayesian Inference via the Median Posterior (SM, SS, LL, DBD), pp. 1656–1664.
ICML-c2-2014-RaiWGCDC #composition #multi #rank: Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors (PR, YW, SG, GC, DBD, LC), pp. 1800–1808.
ICML-c2-2014-Sohl-DicksteinPG #optimisation #performance #probability: Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods (JSD, BP, SG), pp. 604–612.
ICML-c2-2014-TamarMX #approximate #robust #using: Scaling Up Robust MDPs using Function Approximation (AT, SM, HX), pp. 181–189.
ICML-c2-2014-TuZWQ #analysis: Making Fisher Discriminant Analysis Scalable (BT, ZZ, SW, HQ), pp. 964–972.
ICML-c2-2014-WangLYFWY #algorithm #modelling #parallel: A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models (JW, QL, SY, WF, PW, JY), pp. 235–243.
ICML-c2-2014-WangWY #reduction: Scaling SVM and Least Absolute Deviations via Exact Data Reduction (JW, PW, JY), pp. 523–531.
ICPR-2014-AliNB #classification #constraints #image #probability: Boosting Stochastic Newton with Entropy Constraint for Large-Scale Image Classification (WBHA, RN, MB), pp. 232–237.
ICPR-2014-BlondelFU #multi: Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex (MB, AF, NU), pp. 1289–1294.
ICPR-2014-OskarssonAT #graph #multi: Prime Rigid Graphs and Multidimensional Scaling with Missing Data (MO, KÅ, AT), pp. 750–755.
ICPR-2014-PandaKC #graph #random #summary #using #video: Scalable Video Summarization Using Skeleton Graph and Random Walk (RP, SKK, ASC), pp. 3481–3486.
ICPR-2014-SalmonW #on the #recognition: On the Scalability of Graphic Symbol Recognition (JPS, LW), pp. 533–537.
ICPR-2014-SantoshWAT #detection #image: Scalable Arrow Detection in Biomedical Images (KCS, LW, SA, GRT), pp. 3257–3262.
ICPR-2014-ScottEMFA #pattern matching: GPU-Based PostgreSQL Extensions for Scalable High-Throughput Pattern Matching (GJS, ME, KM, ZF, DTA), pp. 1880–1885.
ICPR-2014-SinghKZ #detection #difference #image #markov #multi: A Multilayer Markovian Model for Change Detection in Aerial Image Pairs with Large Time Differences (PS, ZK, JZ), pp. 924–929.
ICPR-2014-WuK #geometry #image #invariant #retrieval: Image Retrieval Based on Anisotropic Scaling and Shearing Invariant Geometric Coherence (XW, KK), pp. 3951–3956.
ICPR-2014-XingY #categorisation #image #parametricity #representation: Large Scale Image Categorization in Sparse Nonparametric Bayesian Representation (SX, NHCY), pp. 1365–1370.
KDD-2014-AnagnostopoulosT #big data: Scaling out big data missing value imputations: pythia vs. godzilla (CA, PT), pp. 651–660.
KDD-2014-BenderskyPHJL #retrieval #video: Up next: retrieval methods for large scale related video suggestion (MB, LGP, JJH, VJ, DL), pp. 1769–1778.
KDD-2014-Bengio #learning: Scaling up deep learning (YB), p. 1966.
KDD-2014-BensonRS #learning #multi #network: Learning multifractal structure in large networks (ARB, CR, SS), pp. 1326–1335.
KDD-2014-ChenCW #classification #performance: Fast flux discriminant for large-scale sparse nonlinear classification (WC, YC, KQW), pp. 621–630.
KDD-2014-ChiaS #mining #predict: Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks (CCC, ZS), pp. 125–134.
KDD-2014-DalessandroCRPWP #learning #online: Scalable hands-free transfer learning for online advertising (BD, DC, TR, CP, MHW, FJP), pp. 1573–1582.
KDD-2014-HerodotouDBOF #locality #network #realtime: Scalable near real-time failure localization of data center networks (HH, BD, SB, GO, PF), pp. 1689–1698.
KDD-2014-HuHA #e-commerce #modelling #social: Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce (DJH, RH, JA), pp. 1640–1649.
KDD-2014-JagadeeshPBDS #image #recommendation #visual notation: Large scale visual recommendations from street fashion images (VJ, RP, AB, WD, NS), pp. 1925–1934.
KDD-2014-JiangCBFY #behaviour #graph #named: CatchSync: catching synchronized behavior in large directed graphs (MJ, PC, AB, CF, SY), pp. 941–950.
KDD-2014-KhalilDS #network #optimisation: Scalable diffusion-aware optimization of network topology (EBK, BND, LS), pp. 1226–1235.
KDD-2014-LeeLTS #modelling #recommendation: Modeling impression discounting in large-scale recommender systems (PL, LVSL, MT, SS), pp. 1837–1846.
KDD-2014-LinRRYRF #clustering #enterprise: Unveiling clusters of events for alert and incident management in large-scale enterprise it (DL, RR, VR, JY, RR, JF), pp. 1630–1639.
KDD-2014-LofgrenBGC #estimation #graph #named #personalisation #rank: FAST-PPR: scaling personalized pagerank estimation for large graphs (PL, SB, AG, SC), pp. 1436–1445.
KDD-2014-PerozziASM #clustering #detection #graph: Focused clustering and outlier detection in large attributed graphs (BP, LA, PIS, EM), pp. 1346–1355.
KDD-2014-PurohitPKZS #network #performance: Fast influence-based coarsening for large networks (MP, BAP, CK, YZ, VSS), pp. 1296–1305.
KDD-2014-RadosavljevikP #interface #modelling #predict: Large scale predictive modeling for micro-simulation of 3G air interface load (DR, PvdP), pp. 1620–1629.
KDD-2014-SchubertWK #detection #named #topic: SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds (ES, MW, HPK), pp. 871–880.
KDD-2014-SongZSS #behaviour #predict: Prediction of human emergency behavior and their mobility following large-scale disaster (XS, QZ, YS, RS), pp. 5–14.
KDD-2014-SpasojevicYRB #multi #named #network #social #topic: LASTA: large scale topic assignment on multiple social networks (NS, JY, AR, PB), pp. 1809–1818.
KDD-2014-TamersoyRC #detection #graph #mining: Guilt by association: large scale malware detection by mining file-relation graphs (AT, KAR, DHC), pp. 1524–1533.
KDD-2014-TangL #probability: Scalable histograms on large probabilistic data (MT, FL), pp. 631–640.
KDD-2014-WangNH #adaptation #induction #learning: Large-scale adaptive semi-supervised learning via unified inductive and transductive model (DW, FN, HH), pp. 482–491.
KDD-2014-WeiSZL0: Scalable heterogeneous translated hashing (YW, YS, YZ, BL, QY), pp. 791–800.
KDD-2014-YangKSG #modelling #topic #twitter: Large-scale high-precision topic modeling on twitter (SHY, AK, AS, PG), pp. 1907–1916.
KDD-2014-ZhangZ: Large margin distribution machine (TZ, ZHZ), pp. 313–322.
KDD-2014-ZongWSSCHY #mining #towards: Towards scalable critical alert mining (BZ, YW, JS, AKS, HÇ, JH, XY), pp. 1057–1066.
KDIR-2014-HubwieserM #education #mining #set: Competency Mining in Large Data Sets — Preparing Large Scale Investigations in Computer Science Education (PH, AM), pp. 315–322.
KDIR-2014-PassonneauRX #detection #mining: Company Mention Detection for Large Scale Text Mining (RJP, TR, BX), pp. 512–520.
MLDM-2014-AnandWA #information management: A Method of Crowd-Sourced Information Extraction From Large Data Files (IMA, AW, PA), pp. 431–436.
RecSys-2014-BastianHVSSKUL #topic: LinkedIn skills: large-scale topic extraction and inference (MB, MH, WV, SS, PS, HJK, SU, CL), pp. 1–8.
RecSys-2014-ZhangOFL #modelling #network #social: Scalable audience targeted models for brand advertising on social networks (KZ, AMO, SF, HL), pp. 341–344.
SIGIR-2014-BabbarPGA #approach #classification #distributed #ranking: Re-ranking approach to classification in large-scale power-law distributed category systems (RB, IP, ÉG, MRA), pp. 1059–1062.
SIGIR-2014-CambazogluB #challenge #performance #web: Scalability and efficiency challenges in large-scale web search engines (BBC, RABY), p. 1285.
SIGIR-2014-DamH #topic #verification: Large-scale author verification: temporal and topical influences (MvD, CH), pp. 1039–1042.
SIGIR-2014-GiangrecoKS #database #information retrieval #multi #named #query: ADAM: a system for jointly providing ir and database queries in large-scale multimedia retrieval (IG, IAK, HS), pp. 1257–1258.
SIGIR-2014-LengCL #image #learning #random #retrieval: Random subspace for binary codes learning in large scale image retrieval (CL, JC, HL), pp. 1031–1034.
SIGIR-2014-Zhang #graph #rdf: Graph-based large scale RDF data compression (WEZ), p. 1276.
BX-2014-BeineHWC #bidirectional #case study #database #evolution: Bidirectional Transformations in Database Evolution: A Case Study “At Scale” (MB, NH, JHW, AC), pp. 100–107.
ECMFA-2014-BarmpisK #modelling #query #towards: Towards Scalable Querying of Large-Scale Models (KB, DSK), pp. 35–50.
ECMFA-2014-BenelallamGSTL #emf #modelling #persistent: Neo4EMF, A Scalable Persistence Layer for EMF Models (AB, AG, GS, MT, DL), pp. 230–241.
MoDELS-2014-BousseCB14a: Scalable Armies of Model Clones through Data Sharing (EB, BC, BB), pp. 286–301.
MoDELS-2014-ShahWKRPB #benchmark #framework #metric #persistent: A Framework to Benchmark NoSQL Data Stores for Large-Scale Model Persistence (SMS, RW, DSK, LMR, RFP, KB), pp. 586–601.
PLDI-2014-MitraLABSG #analysis #debugging #parallel: Accurate application progress analysis for large-scale parallel debugging (SM, IL, DHA, SB, MS, TG), p. 23.
RE-2014-BreauxS #policy #privacy #requirements: Scaling requirements extraction to the crowd: Experiments with privacy policies (TDB, FS), pp. 163–172.
REFSQ-2014-AbeleinP #communication #developer: State of Practice of User-Developer Communication in Large-Scale IT Projects — Results of an Expert Interview Series (UA, BP), pp. 95–111.
SAC-PL-J-2013-MaierST14 #design #reliability #symbolic computation: Reliable scalable symbolic computation: The design of SymGridPar2 (PM, RJS, PWT), pp. 19–35.
ASE-2014-GuoZORCAA #combinator #optimisation #parallel: Scaling exact multi-objective combinatorial optimization by parallelization (JG, EZ, RO, DR, KC, SA, JMA), pp. 409–420.
ASE-2014-MatinnejadNBB #configuration management #modelling #testing #using: MiL testing of highly configurable continuous controllers: scalable search using surrogate models (RM, SN, LCB, TB), pp. 163–174.
FSE-2014-EslamimehrP #concurrent #detection #named #source code: Sherlock: scalable deadlock detection for concurrent programs (ME, JP), pp. 353–365.
FSE-2014-LerchHBM #analysis #named #performance: FlowTwist: efficient context-sensitive inside-out taint analysis for large codebases (JL, BH, EB, MM), pp. 98–108.
FSE-2014-MileaJK #abstraction #detection #refactoring: Vector abstraction and concretization for scalable detection of refactorings (NAM, LJ, SCK), pp. 86–97.
FSE-2014-Nguyen0NR #api #corpus #mining: Mining preconditions of APIs in large-scale code corpus (HAN, RD, TNN, HR), pp. 166–177.
FSE-2014-RayPFD #case study #git #programming language #quality: A large scale study of programming languages and code quality in github (BR, DP, VF, PTD), pp. 155–165.
FSE-2014-SchultisEL #architecture #case study #challenge #ecosystem #industrial: Architecture challenges for internal software ecosystems: a large-scale industry case study (KBS, CE, DL), pp. 542–552.
ICSE-2014-ChenLZ #android #detection: Achieving accuracy and scalability simultaneously in detecting application clones on Android markets (KC, PL, YZ), pp. 175–186.
ICSE-2014-WagstromD #development: Does latitude hurt while longitude kills? geographical and temporal separation in a large scale software development project (PW, SD), pp. 199–210.
SAC-2014-ChenCWD #recommendation: Instant expert hunting: building an answerer recommender system for a large scale Q&A website (TC, JC, HW, YD), pp. 260–265.
SAC-2014-FanC #approximate #framework #network #social: An approximate framework for scaling social influence computation in large networks (YCF, HC), pp. 610–615.
SAC-2014-HamerW #platform: Large scale processing of landsat data on various software platforms (GH, JW), pp. 1547–1549.
SAC-2014-HusemannR #multi #predict #video: Introduction of a multi-layer predictive search strategy for scalable video coding (RH, VR), pp. 985–986.
SAC-2014-KarumanchiS #case study #web #web service: In the wild: a large scale study of web services vulnerabilities (SK, ACS), pp. 1239–1246.
SAC-2014-KleffmannBHG #automation #interactive #navigation #sketching #version control: Automated versioning and temporal navigation for model sketches on large interactive displays (MK, MB, EH, VG), pp. 161–168.
SAC-2014-MesmoudiH #declarative #framework #query: A test framework for large scale declarative queries: preliminary results (AM, MSH), pp. 858–859.
SAC-2014-MoonKSP #image #novel: A novel double linear-cubic convolution interpolation for digital image scaling (HMM, KRK, JS, SBP), pp. 1733–1734.
SAC-2014-ShoshitaishviliIDV #analysis #security #trade-off: Do you feel lucky?: a large-scale analysis of risk-rewards trade-offs in cyber security (YS, LI, AD, GV), pp. 1649–1656.
SAC-2014-YangDZYZN #visualisation: Visualizing large hierarchies with drawer trees (YY, ND, SZ, ZY, KZ, QVN), pp. 951–956.
SAC-2014-ZeilemakerSP #network: Large-scale message synchronization in challenged networks (NZ, BS, JAP), pp. 481–488.
GPCE-2014-RuprechtHL #automation #feature model #product line: Automatic feature selection in large-scale system-software product lines (AR, BH, DL), pp. 39–48.
ASPLOS-2014-Gehlhaar #architecture #future of: Neuromorphic processing: a new frontier in scaling computer architecture (JG), pp. 317–318.
ASPLOS-2014-WaterlandAAAS #automation #named: ASC: automatically scalable computation (AW, EA, RPA, JA, MIS), pp. 575–590.
CASE-2014-MurookaNNKOI #learning #physics: Manipulation strategy learning for carrying large objects based on mapping from object physical property to object manipulation action in virtual environment (MM, SN, SN, YK, KO, MI), pp. 263–270.
CASE-2014-XuJGX #energy: A new method to solve large-scale building energy management for energy saving (ZX, QSJ, XG, XX), pp. 940–945.
CGO-2014-HongSWO #domain-specific language #graph: Simplifying Scalable Graph Processing with a Domain-Specific Language (SH, SS, JW, KO), p. 208.
CGO-2014-JimboreanKSBK #approach #compilation #hardware: Fix the code. Don’t tweak the hardware: A new compiler approach to Voltage-Frequency scaling (AJ, KK, VS, DBS, SK), p. 262.
CGO-2014-ZengR0AJ0 #encoding #named #precise: DeltaPath: Precise and Scalable Calling Context Encoding (QZ, JR, HZ, NA, GJ, PL), p. 109.
DAC-2014-ApostolopoulouDES #matrix #simulation: Selective Inversion of Inductance Matrix for Large-Scale Sparse RLC Simulation (IA, KD, NEE, GIS), p. 6.
DAC-2014-ChakrabortyMV #generative #satisfiability: Balancing Scalability and Uniformity in SAT Witness Generator (SC, KSM, MYV), p. 6.
DAC-2014-ChenWLWSC #design #monitoring: Critical Path Monitor Enabled Dynamic Voltage Scaling for Graceful Degradation in Sub-Threshold Designs (YGC, TW, KYL, WYW, YS, SCC), p. 6.
DAC-2014-GottschoBDNG #capacity #energy #fault tolerance: Power / Capacity Scaling: Energy Savings With Simple Fault-Tolerant Caches (MG, AB, ND, AN, PG), p. 6.
DAC-2014-LiangC #analysis #clustering #named #network #probability #reduction #smarttech: ClusRed: Clustering and Network Reduction Based Probabilistic Optimal Power Flow Analysis for Large-Scale Smart Grids (YL, DC), p. 6.
DAC-2014-MunawarS #functional #modelling: Scalable Co-Simulation of Functional Models With Accurate Event Exchange (AM, SS), p. 6.
DAC-2014-NaeemiCKPIR #generative: BEOL Scaling Limits and Next Generation Technology Prospects (AN, AC, VK, CP, RMI, SR), p. 6.
DAC-2014-PrussKE #abstraction #equivalence #using #verification: Equivalence Verification of Large Galois Field Arithmetic Circuits using Word-Level Abstraction via Gröbner Bases (TP, PK, FE), p. 6.
DAC-2014-XueQBYT #analysis #framework #manycore #platform: Disease Diagnosis-on-a-Chip: Large Scale Networks-on-Chip based Multicore Platform for Protein Folding Analysis (YX, ZQ, PB, FY, CYT), p. 6.
DAC-2014-YangHCLRX #behaviour #certification #framework #synthesis: Scalable Certification Framework for Behavioral Synthesis Front-End (ZY, KH, KC, LL, SR, FX), p. 6.
DATE-2014-BortolottiBWRB #architecture #hybrid #manycore #memory management #power management: Hybrid memory architecture for voltage scaling in ultra-low power multi-core biomedical processors (DB, AB, CW, DR, LB), pp. 1–6.
DATE-2014-Braak #adaptation #embedded #using: Using guided local search for adaptive resource reservation in large-scale embedded systems (TDtB), pp. 1–4.
DATE-2014-BurgioDMCB #clustering #hardware #programmable: A tightly-coupled hardware controller to improve scalability and programmability of shared-memory heterogeneous clusters (PB, RD, AM, PC, LB), pp. 1–4.
DATE-2014-DoanJP #flexibility #implementation #multi #using: Flexible and scalable implementation of H.264/AVC encoder for multiple resolutions using ASIPs (HCD, HJ, SP), pp. 1–6.
DATE-2014-GholipourCSC #modelling: Highly accurate SPICE-compatible modeling for single- and double-gate GNRFETs with studies on technology scaling (MG, YYC, AS, DC), pp. 1–6.
DATE-2014-IannopolloNTS #contract #design #refinement: Library-based scalable refinement checking for contract-based design (AI, PN, ST, ALSV), pp. 1–6.
DATE-2014-JoostenS #communication #liveness #verification: Scalable liveness verification for communication fabrics (SJCJ, JS), pp. 1–6.
DATE-2014-LagraaTP #data mining #mining #simulation #using: Scalability bottlenecks discovery in MPSoC platforms using data mining on simulation traces (SL, AT, FP), pp. 1–6.
DATE-2014-PuEMG #logic #power management #synthesis: Logic synthesis of low-power ICs with ultra-wide voltage and frequency scaling (YP, JDE, MM, JPdG), pp. 1–2.
DATE-2014-RanaC #analysis #named #reduction #simulation: SSFB: A highly-efficient and scalable simulation reduction technique for SRAM yield analysis (MR, RC), pp. 1–6.
DATE-2014-ShenQ #quality: Contention aware frequency scaling on CMPs with guaranteed quality of service (HS, QQ), pp. 1–6.
DATE-2014-YuSH #adaptation: Thermal-aware frequency scaling for adaptive workloads on heterogeneous MPSoCs (HY, RS, YH), pp. 1–6.
HPCA-2014-DemetriadesC #manycore: Stash directory: A scalable directory for many-core coherence (SD, SC), pp. 177–188.
HPCA-2014-ElTantawyMOA #architecture #control flow #gpu #multi #performance: A scalable multi-path microarchitecture for efficient GPU control flow (AE, JWM, MO, TMA), pp. 248–259.
HPCA-2014-ZhangBES #design #named #protocol #verification: PVCoherence: Designing flat coherence protocols for scalable verification (MZ, JDB, JE, DJS), pp. 392–403.
HPDC-2014-AlamKW #distributed #query: A scalable distributed skip list for range queries (SA, HK, AW), pp. 315–318.
HPDC-2014-TangMEL0G #manycore: Data filtering for scalable high-dimensional k-NN search on multicore systems (XT, SM, DME, KCL, ZH, MG), pp. 305–310.
HPDC-2014-XiangMA #matrix #pipes and filters #using: Scalable matrix inversion using MapReduce (JX, HM, AA), pp. 177–190.
HPDC-2014-YinWFZZ #analysis #middleware #named #visualisation: SLAM: scalable locality-aware middleware for I/O in scientific analysis and visualization (JY, JW, WcF, XZ, JZ), pp. 257–260.
ISMM-2014-Joisha #performance: Sticky tries: fast insertions, fast lookups, no deletions for large key universes (PGJ), pp. 35–46.
OSDI-2014-BoutinELSZQWZ #coordination #named #scheduling: Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing (EB, JE, WL, BS, JZ, ZQ, MW, LZ), pp. 285–300.
OSDI-2014-ChilimbiSAK #learning #performance: Project Adam: Building an Efficient and Scalable Deep Learning Training System (TMC, YS, JA, KK), pp. 571–582.
OSDI-2014-ChowMFPW #analysis #internet #performance: The Mystery Machine: End-to-end Performance Analysis of Large-scale Internet Services (MC, DM, JF, DP, TFW), pp. 217–231.
OSDI-2014-LiAPSAJLSS #distributed #machine learning #parametricity: Scaling Distributed Machine Learning with the Parameter Server (ML, DGA, JWP, AJS, AA, VJ, JL, EJS, BYS), pp. 583–598.
PDP-2014-BuiFVHHLPH #parallel #using: Scalable Parallel I/O on a Blue Gene/Q Supercomputer Using Compression, Topology-Aware Data Aggregation, and Subfiling (HB, HF, VV, SH, KH, JL, MEP, KH), pp. 107–111.
PDP-2014-DalKT #graph #performance #using: Fast Diameter Computation of Large Sparse Graphs Using GPUs (GHD, WAK, FWT), pp. 632–639.
PDP-2014-MillsZMFG #energy: Energy Consumption of Resilience Mechanisms in Large Scale Systems (BNM, TZ, RGM, KBF, REG), pp. 528–535.
PDP-2014-PalazzoSG #case study #monitoring #video: Large Scale Data Processing in Ecology: A Case Study on Long-Term Underwater Video Monitoring (SP, CS, DG), pp. 312–316.
TACAS-2014-MalerM #learning #regular expression: Learning Regular Languages over Large Alphabets (OM, IEM), pp. 485–499.
CAV-2014-LeeS #abstraction #approximate #bound #reachability #verification: Unbounded Scalable Verification Based on Approximate Property-Directed Reachability and Datapath Abstraction (SL, KAS), pp. 849–865.
CAV-2014-SinnZV #bound #complexity #static analysis: A Simple and Scalable Static Analysis for Bound Analysis and Amortized Complexity Analysis (MS, FZ, HV), pp. 745–761.
IJCAR-2014-PeaseS #information management #ontology: Knowledge Engineering for Large Ontologies with Sigma KEE 3.0 (AP, SS), pp. 519–525.
ISSTA-2014-Chen #constraints #program analysis #proving #reuse: Reusing constraint proofs for scalable program analysis (MC), pp. 449–452.
ISSTA-2014-Just #analysis #framework #java #mutation testing #performance: The major mutation framework: efficient and scalable mutation analysis for Java (RJ), pp. 433–436.
ISSTA-2014-MileaJK #detection #refactoring: Scalable detection of missed cross-function refactorings (NAM, LJ, SCK), pp. 138–148.
VMCAI-2014-Fu #abstract domain #analysis #java #points-to: Modularly Combining Numeric Abstract Domains with Points-to Analysis, and a Scalable Static Numeric Analyzer for Java (ZF), pp. 282–301.
ICDAR-2013-DuAD #multi #using: Large-Scale Signature Matching Using Multi-stage Hashing (XD, WAA, DSD), pp. 976–980.
ICDAR-2013-GotoIFU #graph #set #using: Analyzing the Distribution of a Large-Scale Character Pattern Set Using Relative Neighborhood Graph (MG, RI, YF, SU), pp. 3–7.
JCDL-2013-LinWGXM #recognition: LSH-based large scale chinese calligraphic character recognition (YL, JW, PG, YX, TM), pp. 323–330.
JCDL-2013-RahnemoonfarP #automation #documentation #evaluation #performance: Automatic performance evaluation of dewarping methods in large scale digitization of historical documents (MR, BP), pp. 331–334.
JCDL-2013-SchonebergSH #distributed #process #workflow: A scalable, distributed and dynamic workflow system for digitization processes (HS, HGS, WH), pp. 359–362.
SIGMOD-2013-AkibaIY #distance #network #performance #query: Fast exact shortest-path distance queries on large networks by pruned landmark labeling (TA, YI, YY), pp. 349–360.
SIGMOD-2013-AnanthanarayananBDGJQRRSV #data type #fault tolerance #named: Photon: fault-tolerant and scalable joining of continuous data streams (RA, VB, SD, AG, HJ, TQ, AR, DR, MS, SV), pp. 577–588.
SIGMOD-2013-ChengHWF #graph #named #query #reachability: TF-Label: a topological-folding labeling scheme for reachability querying in a large graph (JC, SH, HW, AWCF), pp. 193–204.
SIGMOD-2013-HanLL #database #graph #morphism #named #robust #towards: Turboiso: towards ultrafast and robust subgraph isomorphism search in large graph databases (WSH, JL, JHL), pp. 337–348.
SIGMOD-2013-HungBTCZ #named #network #query #visual notation: QUBLE: blending visual subgraph query formulation with query processing on large networks (HHH, SSB, BQT, BC, SZ), pp. 1097–1100.
SIGMOD-2013-JungHFHY #multi: A scalable lock manager for multicores (HJ, HH, ADF, GH, HYY), pp. 73–84.
SIGMOD-2013-KhuranaD #named #network: HiNGE: enabling temporal network analytics at scale (UK, AD), pp. 1089–1092.
SIGMOD-2013-MiliarakiBGZ #mining #sequence: Mind the gap: large-scale frequent sequence mining (IM, KB, RG, SZ), pp. 797–808.
SIGMOD-2013-SongYYHS #data flow #retrieval #semistructured data: Inter-media hashing for large-scale retrieval from heterogeneous data sources (JS, YY, YY, ZH, HTS), pp. 785–796.
SIGMOD-2013-TsytsarauAP #correlation #performance #sentiment: Efficient sentiment correlation for large-scale demographics (MT, SAY, TP), pp. 253–264.
SIGMOD-2013-XinRZFSS #named #sql: Shark: SQL and rich analytics at scale (RSX, JR, MZ, MJF, SS, IS), pp. 13–24.
SIGMOD-2013-YakoutBE #automation #bound: Don’t be SCAREd: use SCalable Automatic REpairing with maximal likelihood and bounded changes (MY, LBE, AKE), pp. 553–564.
SIGMOD-2013-ZhangR #case study #towards: Towards high-throughput gibbs sampling at scale: a study across storage managers (CZ, CR), pp. 397–408.
SIGMOD-2013-ZhengJPL #kernel #performance #quality: Quality and efficiency for kernel density estimates in large data (YZ, JJ, JMP, FL), pp. 433–444.
TPDL-2013-FedoryszakTB #using: Large Scale Citation Matching Using Apache Hadoop (MF, DT, LB), pp. 362–365.
TPDL-2013-HallC #library #using #visualisation: Exploring Large Digital Library Collections Using a Map-Based Visualisation (MMH, PDC), pp. 216–227.
TPDL-2013-RuedaDHCMW #case study #library: Providing Meaningful Information in a Large Scale Digital Library — A Case Study (LR, SDT, PH, SC, SM, SW), pp. 279–284.
TPDL-2013-WangICKAW: Hierarchical Structuring of Cultural Heritage Objects within Large Aggregations (SW, AI, VC, RK, AA, TvdW), pp. 247–259.
VLDB-2013-AilamakiJPT #towards #transaction: Toward Scalable Transaction Processing (AA, RJ, IP, PT), pp. 1192–1193.
VLDB-2013-BediniEV #big data #case study #framework #platform: The Trento Big Data Platform for Public Administration and Large Companies: Use cases and Opportunities (IB, BE, YV), pp. 1166–1167.
VLDB-2013-BellareCMMRS #framework #knowledge base #multitenancy #named #platform #synthesis: WOO: A Scalable and Multi-tenant Platform for Continuous Knowledge Base Synthesis (KB, CC, AM, PM, MR, AS), pp. 1114–1125.
VLDB-2013-ChandramouliGQ #big data #in the cloud: Scalable Progressive Analytics on Big Data in the Cloud (BC, JG, AQ), pp. 1726–1737.
VLDB-2013-DengJLLY #concept #knowledge base #using #web: Scalable Column Concept Determination for Web Tables Using Large Knowledge Bases (DD, YJ, GL, JL, CY), pp. 1606–1617.
VLDB-2013-Dey #transaction: Scalable Transactions across Heterogeneous NoSQL Key-Value Data Stores (AD), pp. 1434–1439.
VLDB-2013-FuKR #on the: On Scaling Up Sensitive Data Auditing (YF, RK, RR), pp. 313–324.
VLDB-2013-HendawiBM #framework #named #network #predict #query: iRoad: A Framework For Scalable Predictive Query Processing On Road Networks (AMH, JB, MFM), pp. 1262–1265.
VLDB-2013-HuangCLQY #network: Top-K Structural Diversity Search in Large Networks (XH, HC, RHL, LQ, JXY), pp. 1618–1629.
VLDB-2013-JinW #performance #reachability: Simple, Fast, and Scalable Reachability Oracle (RJ, GW), pp. 1978–1989.
VLDB-2013-KumarGDL #named: Hone: “Scaling Down” Hadoop on Shared-Memory Systems (KAK, JG, AD, JL), pp. 1354–1357.
VLDB-2013-LeeL #clustering #graph #query #rdf #semantics: Scaling Queries over Big RDF Graphs with Semantic Hash Partitioning (KL, LL), pp. 1894–1905.
VLDB-2013-ManshadiAGKMS #algorithm #distributed: A Distributed Algorithm for Large-Scale Generalized Matching (FMM, BA, RG, RK, JM, MS), pp. 613–624.
VLDB-2013-MansourEKAA #named #parallel #sequence: RACE: A Scalable and Elastic Parallel System for Discovering Repeats in Very Long Sequences (EM, AER, PK, AA, AA), pp. 865–876.
VLDB-2013-OgdenTP #automaton #parallel #query #transducer #using #xml: Scalable XML Query Processing using Parallel Pushdown Transducers (PO, DBT, PP), pp. 1738–1749.
VLDB-2013-PopescuBEA #named #predict #runtime #towards: PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics (ADP, AB, VE, AA), pp. 1678–1689.
VLDB-2013-QiaoQCYT #graph #keyword: Top-K Nearest Keyword Search on Large Graphs (MQ, LQ, HC, JXY, WT), pp. 901–912.
VLDB-2013-Rendle #relational: Scaling Factorization Machines to Relational Data (SR), pp. 337–348.
VLDB-2013-SeoPSL #analysis #distributed #graph: Distributed SociaLite: A Datalog-Based Language for Large-Scale Graph Analysis (JS, JP, JS, MSL), pp. 1906–1917.
VLDB-2013-ShuteVSHWROLMECRSA #database #distributed #named #sql: F1: A Distributed SQL Database That Scales (JS, RV, BS, BH, CW, ER, MO, KL, DM, SE, JC, IR, TS, HA), pp. 1068–1079.
VLDB-2013-WandeltSBL #named #similarity: RCSI: Scalable similarity search in thousand(s) of genomes (SW, JS, MB, UL), pp. 1534–1545.
VLDB-2013-YuanLWJZL #named #performance #rdf: TripleBit: a Fast and Compact System for Large Scale RDF Data (PY, PL, BW, HJ, WZ, LL), pp. 517–528.
VLDB-2013-ZhengZF0Z #graph #performance #similarity: Efficient SimRank-based Similarity Join Over Large Graphs (WZ, LZ, YF, LC, DZ), pp. 493–504.
VLDB-2014-HeiseQAJN13: Scalable Discovery of Unique Column Combinations (AH, JAQR, ZA, AJ, FN), pp. 301–312.
VLDB-2014-KaranasosKM13 #capacity #constraints #named: Delta: Scalable Data Dissemination under Capacity Constraints (KK, AK, IM), pp. 217–228.
VLDB-2014-TangUCMC13 #distance #similarity: Earth Mover’s Distance based Similarity Search at Scale (YT, LHU, YC, NM, RC), pp. 313–324.
ITiCSE-2013-GorlatovaSKKZ #learning #research: Project-based learning within a large-scale interdisciplinary research effort (MG, JS, PRK, IK, GZ), pp. 207–212.
ICPC-2013-UddinRS #clone detection #detection #named #performance: SimCad: An extensible and faster clone detection tool for large scale software systems (MSU, CKR, KAS), pp. 236–238.
ICSM-2013-MeqdadiACM #adaptation #comprehension #towards #version control: Towards Understanding Large-Scale Adaptive Changes from Version Histories (OM, NA, MLC, JIM), pp. 416–419.
ICSM-2013-MillerCW #developer #embedded #legacy #maintenance: Assuming Software Maintenance of a Large, Embedded Legacy System from the Original Developer (WLM, LBC, BLW), pp. 552–555.
ICSM-2013-RosePFP #framework #platform #probability #search-based #testing #towards: Towards a Scalable Cloud Platform for Search-Based Probabilistic Testing (LMR, SMP, RF, RFP), pp. 480–483.
ICSM-2013-VenkataramaniABM #analysis #repository #semantics: Latent Co-development Analysis Based Semantic Search for Large Code Repositories (RV, AMA, VDB, BM), pp. 372–375.
ICSM-2013-WrightJKCW #automation #refactoring #using: Large-Scale Automated Refactoring Using ClangMR (HKW, DJ, MK, CC, ZW), pp. 548–551.
SCAM-2013-MendezBM #api #empirical #object-oriented: Empirical evidence of large-scale diversity in API usage of object-oriented software (DM, BB, MM), pp. 43–52.
WCRE-2013-KhadkaSJHH #challenge #legacy #lessons learnt #migration: Migrating a large scale legacy application to SOA: Challenges and lessons learned (RK, AS, SJ, JH, GPH), pp. 425–432.
ICALP-v1-2013-SviridenkoW #problem #set: Large Neighborhood Local Search for the Maximum Set Packing Problem (MS, JW), pp. 792–803.
CIG-2013-ChurchillB #simulation: Portfolio greedy search and simulation for large-scale combat in starcraft (DC, MB), pp. 1–8.
CIG-2013-WiensDP #behaviour #game studies #learning: Creating large numbers of game AIs by learning behavior for cooperating units (SW, JD, SP), pp. 1–8.
FDG-2013-KoutnikCSG #evolution #network: Evolving large-scale neural networks for vision-based TORCS (JK, GC, JS, FJG), pp. 206–212.
CHI-2013-BowserHRRGHRP #approach #game studies #prototype: Prototyping in PLACE: a scalable approach to developing location-based apps and games (AB, DLH, JR, MR, RJG, YH, DR, JP), pp. 1519–1528.
CHI-2013-DalsgardE #approach #case study #library: Large-scale participation: a case study of a participatory approach to developing a new public library (PD, EE), pp. 399–408.
CHI-2013-IonCHHS #multi #named: Canyon: providing location awareness of multiple moving objects in a detail view on large displays (AI, YLBC, MH, MSH, SDS), pp. 3149–3158.
CHI-2013-KharrufaBHLDO #deployment #lessons learnt #multi: Tables in the wild: lessons learned from a large-scale multi-tabletop deployment (AK, MB, PH, DL, PD, PO), pp. 1021–1030.
CHI-2013-LeitnerPLRH #gesture #named #performance: Kolibri: tiny and fast gestures for large pen-based surfaces (JL, FP, CL, CR, MH), pp. 1789–1798.
CHI-2013-LomasPFK #challenge #design #education #game studies #optimisation #using: Optimizing challenge in an educational game using large-scale design experiments (DL, KP, JF, KRK), pp. 89–98.
CHI-2013-McMillanMC #guidelines #human-computer #mobile: Categorised ethical guidelines for large scale mobile HCI (DM, AM, MC), pp. 1853–1862.
CHI-2013-MollersDLB #using: Improving touch accuracy on large tabletops using predecessor and successor (MM, ND, SL, JOB), pp. 755–758.
CHI-2013-NancelCPYIB #using: High-precision pointing on large wall displays using small handheld devices (MN, OC, EP, XDY, PPI, MBL), pp. 831–840.
CHI-2013-SchmidtMB #named: Screenfinity: extending the perception area of content on very large public displays (CS, JM, GB), pp. 1719–1728.
CHI-2013-VatavuCG #gesture: Small, medium, or large?: estimating the user-perceived scale of stroke gestures (RDV, GC, LG), pp. 277–280.
CSCW-2013-AlmuhimediWLSA #analysis #twitter: Tweets are forever: a large-scale quantitative analysis of deleted tweets (HA, SW, BL, NMS, AA), pp. 897–908.
CSCW-2013-ParkSLB #contest #design: Crowd vs. crowd: large-scale cooperative design through open team competition (CHP, KS, JHL, SHB), pp. 1275–1284.
CSCW-2013-RostBCB #challenge #communication #dataset #representation #social #social media: Representation and communication: challenges in interpreting large social media datasets (MR, LB, HC, BB), pp. 357–362.
DUXU-WM-2013-BaldassariDPEG #case study #interactive #online: Behind Livia’s Villa: A Case Study for the Devolution of Large Scale Interactive “in-site” to “on-line” Application (GLB, ED, SP, JE, HG), pp. 238–247.
DUXU-WM-2013-SoaresCCNCM #interactive: An Applied Ergonomics Study on IT User Interaction in a Large Hydroelectric Company in the Northeast of Brazil (MMS, FC, WC, AN, JC, SM), pp. 113–120.
HCI-IMT-2013-PelaezSC #collaboration #research: Research on a Large Digital Desktop Integrated in a Traditional Environment for Informal Collaboration (MPP, RS, IC), pp. 348–357.
HCI-IMT-2013-SakataKN #analysis #collaboration #communication: Communication Analysis of Remote Collaboration System with Arm Scaling Function (NS, TK, SN), pp. 378–387.
HIMI-D-2013-IizukaNG #case study #interactive #using: A Study for Personal Use of the Interactive Large Public Display (SI, WN, KG), pp. 55–61.
VISSOFT-2013-FittkauWWH #approach #visualisation: Live trace visualization for comprehending large software landscapes: The ExplorViz approach (FF, JW, CW, WH), pp. 1–4.
CAiSE-2013-AgtK #automation #modelling #network #semantics: Automated Construction of a Large Semantic Network of Related Terms for Domain-Specific Modeling (HA, RDK), pp. 610–625.
CAiSE-2013-KapurugeHCK #as a service #named: ROAD4SaaS: Scalable Business Service-Based SaaS Applications (MK, JH, AWC, IK), pp. 338–352.
CAiSE-2013-LiverK #information management: Integrity in Very Large Information Systems — Dealing with Information Risk Black Swans (BL, HK), pp. 641–656.
CAiSE-2013-SuriadiWOHD #behaviour #case study #comprehension #process: Understanding Process Behaviours in a Large Insurance Company in Australia: A Case Study (SS, MTW, CO, AHMtH, NJvD), pp. 449–464.
ICEIS-v3-2013-LambeckG #complexity #concept #enterprise #user interface: Mastering ERP Interface Complexity — A Scalable User Interface Concept for ERP Systems (CL, RG), pp. 170–178.
CIKM-2013-AkibaIY #linear #network #random: Linear-time enumeration of maximal K-edge-connected subgraphs in large networks by random contraction (TA, YI, YY), pp. 909–918.
CIKM-2013-BogdanovS #effectiveness #nearest neighbour #network: Accurate and scalable nearest neighbors in large networks based on effective importance (PB, AKS), pp. 1009–1018.
CIKM-2013-ChenW #classification #learning: Cost-sensitive learning for large-scale hierarchical classification (JC, DW), pp. 1351–1360.
CIKM-2013-FangYZ #graph: Active exploration: simultaneous sampling and labeling for large graphs (MF, JY, XZ), pp. 829–834.
CIKM-2013-GilpinQD #clustering #dataset #performance: Efficient hierarchical clustering of large high dimensional datasets (SG, BQ, ID), pp. 1371–1380.
CIKM-2013-Guestrin #machine learning #usability: Usability in machine learning at scale with graphlab (CG), pp. 5–6.
CIKM-2013-HachenbergG #classification #clustering #documentation #locality #web: Locality sensitive hashing for scalable structural classification and clustering of web documents (CH, TG), pp. 359–368.
CIKM-2013-HanW #graph #mining: Mining frequent neighborhood patterns in a large labeled graph (JH, JRW), pp. 259–268.
CIKM-2013-KhanDS #multi: Scalable diversification of multiple search results (HAK, MD, MAS), pp. 775–780.
CIKM-2013-LiWZWW #probability #similarity: Computing term similarity by large probabilistic isA knowledge (PPL, HW, KQZ, ZW, XW), pp. 1401–1410.
CIKM-2013-McMinnMJ #corpus #detection #twitter: Building a large-scale corpus for evaluating event detection on twitter (AJM, YM, JMJ), pp. 409–418.
CIKM-2013-MullangiR #named #performance #query #reachability: SCISSOR: scalable and efficient reachability query processing in time-evolving hierarchies (PRM, LR), pp. 799–804.
CIKM-2013-ParkC #algorithm #graph #performance #pipes and filters: An efficient MapReduce algorithm for counting triangles in a very large graph (HMP, CWC), pp. 539–548.
CIKM-2013-WangZS #performance #similarity: Weighted hashing for fast large scale similarity search (QW, DZ, LS), pp. 1185–1188.
ICML-c1-2013-AbernethyAKD #learning #problem: Large-Scale Bandit Problems and KWIK Learning (JA, KA, MK, MD), pp. 588–596.
ICML-c1-2013-AfkanpourGSB #algorithm #kernel #learning #multi #random: A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning (AA, AG, CS, MB), pp. 374–382.
ICML-c1-2013-GilboaSCG #approximate #multi #process #using: Scaling Multidimensional Gaussian Processes using Projected Additive Approximations (EG, YS, JPC, EG), pp. 454–461.
ICML-c2-2013-GolovinSMY #learning #ram: Large-Scale Learning with Less RAM via Randomization (DG, DS, HBM, MY), pp. 325–333.
ICML-c2-2013-GopalY #distributed #modelling: Distributed training of Large-scale Logistic models (SG, YY), pp. 289–297.
ICML-c2-2013-YangPK #optimisation #visualisation: Scalable Optimization of Neighbor Embedding for Visualization (ZY, JP, SK), pp. 127–135.
ICML-c3-2013-GittensM #machine learning: Revisiting the Nystrom method for improved large-scale machine learning (AG, MWM), pp. 567–575.
ICML-c3-2013-Meng #random: Scalable Simple Random Sampling and Stratified Sampling (XM), pp. 531–539.
ICML-c3-2013-ReedG #process: Scaling the Indian Buffet Process via Submodular Maximization (CR, ZG), pp. 1013–1021.
ICML-c3-2013-YangMM: Quantile Regression for Large-scale Applications (JY, XM, MWM), pp. 881–887.
KDD-2013-AhmedS #modelling #parametricity: The dataminer’s guide to scalable mixed-membership and nonparametric bayesian models (AA, AJS), p. 1529.
KDD-2013-ChakrabartiH #learning #social: Speeding up large-scale learning with a social prior (DC, RH), pp. 650–658.
KDD-2013-FriezeGT #algorithm #graph #mining #modelling: Algorithmic techniques for modeling and mining large graphs (AMAzING) (AMF, AG, CET), p. 1523.
KDD-2013-Ghani #social: Targeting and influencing at scale: from presidential elections to social good (RG), p. 1137.
KDD-2013-GopalY #classification #dependence #recursion #visual notation: Recursive regularization for large-scale classification with hierarchical and graphical dependencies (SG, YY), pp. 257–265.
KDD-2013-KengneFTIRWS #execution #multi #sequence: Efficiently rewriting large multimedia application execution traces with few event sequences (CKK, LCF, AT, NI, MCR, TW, MS), pp. 1348–1356.
KDD-2013-KohaviDFWXP #online: Online controlled experiments at large scale (RK, AD, BF, TW, YX, NP), pp. 1168–1176.
KDD-2013-Lacoste-JulienPDKGG #knowledge base #named: SIGMa: simple greedy matching for aligning large knowledge bases (SLJ, KP, AD, GK, TG, ZG), pp. 572–580.
KDD-2013-Mu0ZT #probability #problem: Constrained stochastic gradient descent for large-scale least squares problem (YM, WD, TZ, DT), pp. 883–891.
KDD-2013-OuCWWZY: Comparing apples to oranges: a scalable solution with heterogeneous hashing (MO, PC, FW, JW, WZ, SY), pp. 230–238.
KDD-2013-PhamP #kernel #performance #polynomial: Fast and scalable polynomial kernels via explicit feature maps (NP, RP), pp. 239–247.
KDD-2013-RaederPDSP #clustering #reduction #using: Scalable supervised dimensionality reduction using clustering (TR, CP, BD, OS, FJP), pp. 1213–1221.
KDD-2013-ShahafYSJWL: Information cartography: creating zoomable, large-scale maps of information (DS, JY, CS, JJ, HW, JL), pp. 1097–1105.
KDD-2013-SongZSHUS #modelling #probability #reasoning: Modeling and probabilistic reasoning of population evacuation during large-scale disaster (XS, QZ, YS, TH, SU, RS), pp. 1231–1239.
KDD-2013-StitelmanPDHRP #detection #network #online #using: Using co-visitation networks for detecting large scale online display advertising exchange fraud (OS, CP, BD, RH, TR, FJP), pp. 1240–1248.
KDD-2013-TabeiKKY #constraints #similarity: Succinct interval-splitting tree for scalable similarity search of compound-protein pairs with property constraints (YT, AK, MK, YY), pp. 176–184.
KDD-2013-TangLSPG #automation #framework #monitoring #optimisation: An integrated framework for optimizing automatic monitoring systems in large IT infrastructures (LT, TL, LS, FP, GG), pp. 1249–1257.
KDD-2013-TangWS #confluence #named #network #social: Confluence: conformity influence in large social networks (JT, SW, JS), pp. 347–355.
KDD-2013-WangMP #metric #similarity: Scalable all-pairs similarity search in metric spaces (YW, AM, SP), pp. 829–837.
KDD-2013-YangWZCZZYMFWLLT #named #network #social: SAE: social analytic engine for large networks (YY, JW, YZ, WC, JZ, HZ, ZY, BM, ZF, SW, XL, DL, JT), pp. 1502–1505.
KDD-2013-YenCLLL #classification #coordination #linear #memory management: Indexed block coordinate descent for large-scale linear classification with limited memory (IEHY, CFC, TWL, SWL, SDL), pp. 248–256.
KDD-2013-ZhuXWL #distance #graph #performance #query: Efficient single-source shortest path and distance queries on large graphs (ADZ, XX, SW, WL), pp. 998–1006.
KDD-2013-ZhuYGM #analysis #modelling #topic: Scalable text and link analysis with mixed-topic link models (YZ, XY, LG, CM), pp. 473–481.
KDD-2013-ZhuZZZ #modelling #topic: Scalable inference in max-margin topic models (JZ, XZ, LZ, BZ), pp. 964–972.
KEOD-2013-NadarajanYC #framework #multi #ontology #performance #workflow: Multiple Ontologies Enhanced with Performance Capabilities to Define Interacting Domains within a Workflow Framework for Analysing Large Undersea Videos (GN, CLY, YHCB), pp. 419–426.
MLDM-2013-AllahSG #algorithm #array #dataset #mining #performance: An Efficient and Scalable Algorithm for Mining Maximal — High Confidence Rules from Microarray Dataset (WZAA, YKES, FFMG), pp. 352–366.
MLDM-2013-DoanDP #classification #visual notation: Large Scale Visual Classification with Many Classes (TND, TND, FP), pp. 629–643.
RecSys-2013-Aiolli #dataset #performance #recommendation: Efficient top-n recommendation for very large scale binary rated datasets (FA), pp. 273–280.
RecSys-2013-KoenigsteinK #recommendation #towards: Towards scalable and accurate item-oriented recommendations (NK, YK), pp. 419–422.
SEKE-2013-ChaoY #analysis #order #reachability: A Best Method to Synthesize Very Large K-th Order Systems without Reachability Analysis (DYC, THY), pp. 417–420.
SIGIR-2013-CambazogluB #challenge #performance #web: Scalability and efficiency challenges in commercial web search engines (BBC, RABY), p. 1124.
SIGIR-2013-DemidovaZN #performance #query: Efficient query construction for large scale data (ED, XZ, WN), pp. 573–582.
SIGIR-2013-LuWTZHZ #rank #ranking: A low rank structural large margin method for cross-modal ranking (XL, FW, ST, ZZ, XH, YZ), pp. 433–442.
MoDELS-2013-FariasGWL #case study #design #industrial #modelling: Analyzing the Effort of Composing Design Models of Large-Scale Software in Industrial Case Studies (KF, AG, JW, CJPdL), pp. 639–655.
SPLC-2013-MartiniPB #agile #communication #development #reuse: Communication factors for speed and reuse in large-scale agile software development (AM, LP, JB), pp. 42–51.
ECOOP-2013-TrudelFNM #automation #object-oriented #re-engineering: Really Automatic Scalable Object-Oriented Reengineering (MT, CAF, MN, BM), pp. 477–501.
OOPSLA-2013-BoisSEE #concurrent #graph #multi #thread #visualisation: Bottle graphs: visualizing scalability bottlenecks in multi-threaded applications (KDB, JBS, SE, LE), pp. 355–372.
HILT-2013-Whalen #analysis #architecture #development #formal method #modelling #using: Up and out: scaling formal analysis using model-based development and architecture modeling (MWW), pp. 41–42.
PADL-2013-LiangK #automation #logic programming #named #source code: Terminyzer: An Automatic Non-termination Analyzer for Large Logic Programs (SL, MK), pp. 173–189.
PEPM-2013-SatoUK #higher-order #model checking #source code #towards: Towards a scalable software model checker for higher-order programs (RS, HU, NK), pp. 53–62.
PLDI-2013-ElwazeerAKSB #data type #detection: Scalable variable and data type detection in a binary rewriter (KE, KA, AK, MS, RB), pp. 51–60.
PLDI-2013-GreenLRSV #named #programming language #quantum: Quipper: a scalable quantum programming language (ASG, PLL, NJR, PS, BV), pp. 333–342.
RE-2013-GolnamRWK #case study #integration: The integration of an RE method and AHP: A pilot study in a large Swiss bank (AG, GR, AW, SK), pp. 308–313.
REFSQ-2013-Ott #automation #categorisation #natural language #overview #specification: Automatic Requirement Categorization of Large Natural Language Specifications at Mercedes-Benz for Review Improvements (DO), pp. 50–64.
REFSQ-2013-Regnell #modelling #requirements #towards: reqT.org — Towards a Semi-Formal, Open and Scalable Requirements Modeling Tool (BR), pp. 112–118.
SAC-PL-J-2011-AcherCLF13 #domain-specific language #feature model #modelling #named: FAMILIAR: A domain-specific language for large scale management of feature models (MA, PC, PL, RBF), pp. 657–681.
ASE-2013-ChandramohanTBSP #approach #behaviour #bound #detection #modelling: A scalable approach for malware detection through bounded feature space behavior modeling (MC, HBKT, LCB, LKS, BMP), pp. 312–322.
ASE-2013-KimKKLJK #automation #embedded #industrial #testing #using: Automated unit testing of large industrial embedded software using concolic testing (YK, YK, TK, GL, YJ, MK), pp. 519–528.
ASE-2013-MoritzVPGMG #api #detection #named #repository #source code #visualisation: ExPort: Detecting and visualizing API usages in large source code repositories (EM, MLV, DP, MG, CM, MG), pp. 646–651.
ASE-2013-SayyadIMA #product line: Scalable product line configuration: A straw to break the camel’s back (ASS, JI, TM, HA), pp. 465–474.
ESEC-FSE-2013-DavrilDHACH #feature model: Feature model extraction from large collections of informal product descriptions (JMD, ED, NH, MA, JCH, PH), pp. 290–300.
ESEC-FSE-2013-KumarCS #analysis #industrial #precise: Precise range analysis on large industry code (SK, BC, US), pp. 675–678.
ESEC-FSE-2013-LiebigRKADL #analysis: Scalable analysis of variable software (JL, AvR, CK, SA, JD, CL), pp. 81–91.
ESEC-FSE-2013-McPeakGR #debugging #detection #incremental: Scalable and incremental software bug detection (SM, CHG, MKR), pp. 554–564.
ICSE-2013-BrownAR #delivery: Agility at scale: economic governance, measured improvement, and disciplined delivery (AWB, SA, WR), pp. 873–881.
ICSE-2013-DyerNRN #framework #named #repository: Boa: a language and infrastructure for analyzing ultra-large-scale software repositories (RD, HAN, HR, TNN), pp. 422–431.
ICSE-2013-FitzgeraldSOO #agile #case study #industrial: Scaling agile methods to regulated environments: an industry case study (BF, KJS, RO, DO), pp. 863–872.
ICSE-2013-Jonsson #machine learning #performance #using: Increasing anomaly handling efficiency in large organizations using applied machine learning (LJ), pp. 1361–1364.
ICSE-2013-MalikHH #automation #detection #performance #testing: Automatic detection of performance deviations in the load testing of large scale systems (HM, HH, AEH), pp. 1012–1021.
ICSE-2013-Northrop #case study #matter #years after: Does scale really matter? ultra-large-scale systems seven years after the study (LMN), p. 857.
ICSE-2013-XingXJ #benchmark #feature model #kernel #metric #research: A large scale Linux-kernel based benchmark for feature location research (ZX, YX, SJ), pp. 1311–1314.
SAC-2013-BaltzerRZ: Building a scalable spatial OLAP system (OB, ARC, NZ), pp. 13–15.
SAC-2013-BhattacharjeeJ #algorithm #named #repository #similarity: CodeBlast: a two-stage algorithm for improved program similarity matching in large software repositories (AB, HMJ), pp. 846–852.
SAC-2013-BrancoLR #bound #protocol: Bounded gossip: a gossip protocol for large-scale datacenters (MB, JL, LR), pp. 591–596.
SAC-2013-FanYZ #architecture #framework #modelling: A generic framework for deriving architecture modeling methods for large-scale software-intensive systems (ZF, TY, LZ), pp. 1750–1757.
SAC-2013-HuangMGM #multi #realtime: Throughput-constrained voltage and frequency scaling for real-time heterogeneous multiprocessors (PH, OM, KG, AMM), pp. 1517–1524.
SAC-2013-KoukiL #named: SCAling: SLA-driven cloud auto-scaling (YK, TL), pp. 411–414.
SAC-2013-MaierST #design #reliability #symbolic computation: Reliable scalable symbolic computation: the design of SymGridPar2 (PM, RJS, PWT), pp. 1674–1681.
SAC-2013-MeilingSSW #communication #framework #grid #multi #network #smarttech #using: A scalable communication infrastructure for smart grid applications using multicast over public networks (SM, TS, TCS, MW), pp. 690–694.
SAC-2013-NikolaevskiyLPPG #multi #named: isBF: scalable in-packet bloom filter based multicast (IN, AL, TP, VP, AG), pp. 646–648.
SAC-2013-PayetDKV #analysis #execution: EARs in the wild: large-scale analysis of execution after redirect vulnerabilities (PP, AD, CK, GV), pp. 1792–1799.
GPCE-2013-BassoPOB #model transformation #reuse: Supporting large scale model transformation reuse (FPB, RMP, TCdO, LBB), pp. 169–178.
ASPLOS-2013-Gidra0SS #case study #garbage collection #multi: A study of the scalability of stop-the-world garbage collectors on multicores (LG, GT, JS, MS), pp. 229–240.
ASPLOS-2013-QianTSQ #consistency #detection #named #precise: Volition: scalable and precise sequential consistency violation detection (XQ, JT, BS, DQ), pp. 535–548.
CASE-2013-HuZL13a #automation #distributed #petri net: Maximally permissive distributed control of large scale automated manufacturing systems modeled with Petri nets (HH, MZ, YL), pp. 1145–1150.
CASE-2013-YeWZML #approach #network #optimisation #predict: A signal split optimization approach based on model predictive control for large-scale urban traffic networks (BLY, WW, XZ, WJM, JL), pp. 904–909.
CASE-2013-ZhangPJST #energy #interface #monitoring #using: A secure and scalable telemonitoring system using ultra-low-energy wireless sensor interface for long-term monitoring in life science applications (WZ, PP, EJ, RS, KT), pp. 617–622.
CGO-2013-ArthurMRAB #debugging #named #profiling #security: Schnauzer: scalable profiling for likely security bug sites (WA, BM, RR, TMA, VB), p. 11.
CGO-2013-GartleyPSG #case study #design #experience #framework #interpreter #profiling #robust: Experiences in designing a robust and scalable interpreter profiling framework (IG, MP, VS, NG), p. 10.
DAC-2013-ChenXKGHKOA #design #manycore: Dynamic voltage and frequency scaling for shared resources in multicore processor designs (XC, ZX, HK, PVG, JH, MK, ÜYO, RZA), p. 7.
DAC-2013-Feng #grid #power management #verification: Scalable vectorless power grid current integrity verification (ZF), p. 8.
DAC-2013-JungPPC #distributed #embedded #framework #named #platform: netShip: a networked virtual platform for large-scale heterogeneous distributed embedded systems (YJ, JP, MP, LPC), p. 10.
DAC-2013-OnizawaG #clustering #network #power management: Low-power area-efficient large-scale IP lookup engine based on binary-weighted clustered networks (NO, WJG), p. 6.
DAC-2013-WangZSLG #modelling #performance #reuse: Bayesian model fusion: large-scale performance modeling of analog and mixed-signal circuits by reusing early-stage data (FW, WZ, SS, XL, CG), p. 6.
DAC-2013-YuanX #fault #logic #low cost #named: InTimeFix: a low-cost and scalable technique for in-situ timing error masking in logic circuits (FY, QX), p. 6.
DAC-2013-ZhouLJ #3d #complexity #finite #linear #multi: A direct finite element solver of linear complexity for large-scale 3-D circuit extraction in multiple dielectrics (BZ, HL, DJ), p. 6.
DATE-2013-ChanCK #adaptation: Impact of adaptive voltage scaling on aging-aware signoff (TBC, WTJC, ABK), pp. 1683–1688.
DATE-2013-CilardoGMM #design #performance: Efficient and scalable OpenMP-based system-level design (AC, LG, AM, NM), pp. 988–991.
DATE-2013-El-NacouziAPZJM #detection: A dual grain hit-miss detector for large die-stacked DRAM caches (MEN, IA, MP, JZ, NDEJ, AM), pp. 89–92.
DATE-2013-Feng #geometry #grid #power management #reduction: Large-scale flip-chip power grid reduction with geometric templates (ZF), pp. 1679–1682.
DATE-2013-LeGD #design #fault #locality: Scalable fault localization for SystemC TLM designs (HML, DG, RD), pp. 35–38.
DATE-2013-LyrasRPS #multi #simulation: Hypervised transient SPICE simulations of large netlists & workloads on multi-processor systems (GL, DR, AP, DS), pp. 655–658.
DATE-2013-MockCRB #interactive: Interactions of large scale EV mobility and virtual power plants (RM, TSC, JR, LB), pp. 1725–1729.
DATE-2013-YilmazSWO #analysis #fault #industrial #simulation: Fault analysis and simulation of large scale industrial mixed-signal circuits (EY, GS, LW, SO), pp. 565–570.
HPCA-2013-AbeyratneDLSGDBM #symmetry #towards: Scaling towards kilo-core processors with asymmetric high-radix topologies (NA, RD, QL, KS, BG, RGD, DB, TNM), pp. 496–507.
HPCA-2013-ChangRLJ #comparison #energy: Technology comparison for large last-level caches (L3Cs): Low-leakage SRAM, low write-energy STT-RAM, and refresh-optimized eDRAM (MTC, PR, SLL, BJ), pp. 143–154.
HPCA-2013-MahmoodKH #adaptation #architecture #named: Macho: A failure model-oriented adaptive cache architecture to enable near-threshold voltage scaling (TM, SK, SH), pp. 532–541.
HPDC-2013-ClaySM #clustering #interactive: Building and scaling virtual clusters with residual resources from interactive clouds (RBC, ZS, XM), pp. 119–120.
HPDC-2013-GillLHNGL #composition #declarative #framework #manycore #named #platform: Scalanytics: a declarative multi-core platform for scalable composable traffic analytics (HG, DL, XH, CN, TG, BTL), pp. 61–72.
HPDC-2013-KamalBBCM #simulation: Load balancing in large-scale epidemiological simulations (TK, KRB, ARB, YC, MVM), pp. 123–124.
HPDC-2013-LakshminarasimhanBPZJVPS #encoding #query: Scalable in situ scientific data encoding for analytical query processing (SL, DABI, SVP, XZ, JJ, VV, MEP, NFS), pp. 1–12.
HPDC-2013-ZhangKWWF #parallel: MTC envelope: defining the capability of large scale computers in the context of parallel scripting applications (ZZ, DSK, MW, JMW, ITF), pp. 37–48.
HPDC-2013-ZhouTKB #automation #debugging #detection #named: WuKong: automatically detecting and localizing bugs that manifest at large system scales (BZ, JT, MK, SB), pp. 131–142.
ISMM-2013-LiCK #analysis #graph #pointer #precise: Precise and scalable context-sensitive pointer analysis via value flow graph (LL, CC, NK), pp. 85–96.
PDP-2013-AtaeeGP #algorithm #multi #named #reliability #replication #streaming: ReStream — A Replication Algorithm for Reliable and Scalable Multimedia Streaming (SA, BG, FP), pp. 68–76.
PDP-2013-Aviles-GonzalezPG: Scalable Huge Directories through OSD+ Devices (AAG, JP, PGF), pp. 1–8.
PDP-2013-PetridesDCT #database #manycore #performance #query: Scalability and Efficiency of Database Queries on Future Many-Core Systems (PP, AD, CC, PT), pp. 24–28.
PDP-2013-YoshinagaTHSNI #hybrid #manycore #parallel: A Delegation Mechanism on Many-Core Oriented Hybrid Parallel Computers for Scalability of Communicators and Communications in MPI (KY, YT, AH, MS, MN, YI), pp. 249–253.
PPoPP-2013-ChenC #parallel: Scalable deterministic replay in a parallel full-system emulator (YC, HC), pp. 207–218.
PPoPP-2013-DiceLM #statistics: Scalable statistics counters (DD, YL, MM), pp. 307–308.
PPoPP-2013-ParkSI #concurrent #detection #source code: Scalable data race detection for partitioned global address space programs (CSP, KS, CI), pp. 305–306.
PPoPP-2013-WozniakAWKLF #data flow #named #programming: Swift/T: scalable data flow programming for many-task applications (JMW, TGA, MW, DSK, ELL, ITF), pp. 309–310.
PPoPP-2013-ZhouKB #debugging #effectiveness #named: WuKong: effective diagnosis of bugs at large system scales (BZ, MK, SB), pp. 317–318.
SOSP-2013-ClementsKZMK #commutative #design #manycore: The scalable commutativity rule: designing scalable software for multicore processors (ATC, MFK, NZ, RTM, EK), pp. 1–17.
SOSP-2013-ZahariaDLHSS #fault tolerance #streaming: Discretized streams: fault-tolerant streaming computation at scale (MZ, TD, HL, TH, SS, IS), pp. 423–438.
FASE-2013-TrippPCCG #analysis #named #security #web: Andromeda: Accurate and Scalable Security Analysis of Web Applications (OT, MP, PC, RC, SG), pp. 210–225.
STOC-2013-Miller #graph #optimisation #problem #using: Solving large optimization problems using spectral graph theory (GLM), p. 981.
STOC-2013-Wootters #fault #linear #on the #random: On the list decodability of random linear codes with large error rates (MW), pp. 853–860.
CAV-2013-ChakrabortyMV #generative #satisfiability: A Scalable and Nearly Uniform Generator of SAT Witnesses (SC, KSM, MYV), pp. 608–623.
CAV-2013-PauleveAK #approximate #automaton #network #reachability #set: Under-Approximating Cut Sets for Reachability in Large Scale Automata Networks (LP, GA, HK), pp. 69–84.
ICLP-J-2013-LiangK #analysis #logic programming #source code: A practical analysis of non-termination in large logic programs (SL, MK), pp. 705–719.
ICST-2013-YeolekarUAKV #generative #model checking #testing #using: Scaling Model Checking for Test Generation Using Dynamic Inference (AY, DU, VA, SK, RV), pp. 184–191.
QoSA-2012-Marzolla #energy #optimisation: Optimizing the energy consumption of large-scale applications (MM), pp. 123–132.
WICSA-ECSA-2012-EklundB #architecture #empirical: Architecture for Large-Scale Innovation Experiment Systems (UE, JB), pp. 244–248.
WICSA-ECSA-2012-RathfelderBKR #email #monitoring #performance #predict #using: Workload-aware System Monitoring Using Performance Predictions Applied to a Large-scale E-Mail System (CR, SB, KK, RHR), pp. 31–40.
WICSA-ECSA-2012-WoodsB #architecture #case study #experience #industrial #information management #using: Using an Architecture Description Language to Model a Large-Scale Information System — An Industrial Experience Report (EW, RB), pp. 239–243.
HT-2012-NakajimaZIN #analysis #detection: Early detection of buzzwords based on large-scale time-series analysis of blog entries (SN, JZ, YI, RYN), pp. 275–284.
PODS-2012-Mahoney #approximate #data analysis: Approximate computation and implicit regularization for very large-scale data analysis (MWM), pp. 143–154.
SIGMOD-2012-AkogluCKKF #graph #mining #named #visualisation: OPAvion: mining and visualization in large graphs (LA, DHC, UK, DK, CF), pp. 717–720.
SIGMOD-2012-ChengKCC #approach #distance #graph #performance #query: Efficient processing of distance queries in large graphs: a vertex cover approach (JC, YK, SC, CC), pp. 457–468.
SIGMOD-2012-FaloutsosK #algorithm #graph #mining: Managing and mining large graphs: patterns and algorithms (CF, UK), pp. 585–588.
SIGMOD-2012-HansenL #database #named #towards: ColumbuScout: towards building local search engines over large databases (CH, FL), pp. 617–620.
SIGMOD-2012-JinRDY #graph #named #reachability: SCARAB: scaling reachability computation on large graphs (RJ, NR, SD, JXY), pp. 169–180.
SIGMOD-2012-JinRXL #approach #distance #graph #query: A highway-centric labeling approach for answering distance queries on large sparse graphs (RJ, NR, YX, VEL), pp. 445–456.
SIGMOD-2012-KimPSLDC #clustering #distributed #named #performance #ram: CloudRAMSort: fast and efficient large-scale distributed RAM sort on shared-nothing cluster (CK, JP, NS, HL, PD, JC), pp. 841–850.
SIGMOD-2012-LinK #machine learning #twitter: Large-scale machine learning at twitter (JL, AK), pp. 793–804.
SIGMOD-2012-MondalD #graph: Managing large dynamic graphs efficiently (JM, AD), pp. 145–156.
SIGMOD-2012-NeophytouGHLBLMC #comprehension #named #navigation: AstroShelf: understanding the universe through scalable navigation of a galaxy of annotations (PN, RG, RH, TL, DB, AL, GEM, PKC), pp. 713–716.
SIGMOD-2012-PeltS #crowdsourcing #design #framework #platform: Designing a scalable crowdsourcing platform (CVP, AS), pp. 765–766.
SIGMOD-2012-SarmaLGMH #performance: Efficient spatial sampling of large geographical tables (ADS, HL, HG, JM, AYH), pp. 193–204.
SIGMOD-2012-ShaoWX #graph #implementation #mining: Managing and mining large graphs: systems and implementations (BS, HW, YX), pp. 589–592.
SIGMOD-2012-Sivasubramanian #database: Amazon dynamoDB: a seamlessly scalable non-relational database service (SS), pp. 729–730.
SIGMOD-2012-SliwkanichSYHB #corpus #summary #towards #visualisation: Towards scalable summarization and visualization of large text corpora (TS, DS, AY, MH, DB), p. 863.
SIGMOD-2012-YangYZK #effectiveness #graph #towards: Towards effective partition management for large graphs (SY, XY, BZ, AK), pp. 517–528.
SIGMOD-2012-YuAY #query: Processing a large number of continuous preference top-k queries (AY, PKA, JY), pp. 397–408.
VLDB-2012-AgarwalPMIMS #interactive #query: Blink and It’s Done: Interactive Queries on Very Large Data (SA, AP, BM, API, SM, IS), pp. 1902–1905.
VLDB-2012-AlexandrovTM #generative #named: Myriad: Scalable and Expressive Data Generation (AA, KT, VM), pp. 1890–1893.
VLDB-2012-BahmaniMVKV: Scalable K-Means++ (BB, BM, AV, RK, SV), pp. 622–633.
VLDB-2012-ChoiCT #algorithm #database: A Scalable Algorithm for Maximizing Range Sum in Spatial Databases (DWC, CWC, YT), pp. 1088–1099.
VLDB-2012-JestesPLT #ranking: Ranking Large Temporal Data (JJ, JMP, FL, MT), pp. 1412–1423.
VLDB-2012-JiangBCL #named #parallel: MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking (JJ, HB, EYC, YL), pp. 1838–1849.
VLDB-2012-MetwallyF #framework #multi #named #pipes and filters #similarity: V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors (AM, CF), pp. 704–715.
VLDB-2012-PrakashF #comprehension #graph: Understanding and Managing Cascades on Large Graphs (BAP, CF), pp. 2024–2025.
VLDB-2012-Shirani-MehrKS #dataset #evaluation #performance #query #reachability: Efficient Reachability Query Evaluation in Large Spatiotemporal Contact Datasets (HSM, FBK, CS), pp. 848–859.
VLDB-2012-SilvaMZ #correlation #graph #mining: Mining Attribute-structure Correlated Patterns in Large Attributed Graphs (AS, WMJ, MJZ), pp. 466–477.
VLDB-2012-SowellGS #distributed #multi #named: Minuet: A Scalable Distributed Multiversion B-Tree (BS, WMG, MAS), pp. 884–895.
VLDB-2012-VoWACO #database #in the cloud #named: LogBase: A Scalable Log-structured Database System in the Cloud (HTV, SW, DA, GC, BCO), pp. 1004–1015.
VLDB-2012-YuanWCW #database #graph #performance #probability #similarity: Efficient Subgraph Similarity Search on Large Probabilistic Graph Databases (YY, GW, LC, HW), pp. 800–811.
VLDB-2013-ZhaoT12 #analysis #network #social #visual notation: Large Scale Cohesive Subgraphs Discovery for Social Network Visual Analysis (FZ, AKHT), pp. 85–96.
CSEET-2012-MacKellar #case study #communication #re-engineering: A Case Study of Group Communication Patterns in a Large Project Software Engineering Course (BM), pp. 134–138.
CSMR-2012-Koschke #clone detection #detection #using: Large-Scale Inter-System Clone Detection Using Suffix Trees (RK), pp. 309–318.
ICSM-2012-BauerHHJC #analysis #framework #incremental #quality: A framework for incremental quality analysis of large software systems (VB, LH, BH, EJ, MC), pp. 537–546.
ICSM-2012-QiML #automation #performance #source code #using: Making automatic repair for large-scale programs more efficient using weak recompilation (YQ, XM, YL), pp. 254–263.
MSR-2012-BirdN #development #distributed #open source #what: Who? Where? What? Examining distributed development in two large open source projects (CB, NN), pp. 237–246.
MSR-2012-Breckel #comparison #database #debugging #detection #fault #mining: Error mining: Bug detection through comparison with large code databases (AB), pp. 175–178.
WCRE-2012-AlomariCM #approach #performance #slicing: A Very Efficient and Scalable Forward Static Slicing Approach (HWA, MLC, JIM), pp. 425–434.
ICALP-v1-2012-DinitzKR #approximate: Label Cover Instances with Large Girth and the Hardness of Approximating Basic k-Spanner (MD, GK, RR), pp. 290–301.
CHI-2012-BaurBB #analysis #component #music: Listening factors: a large-scale principal components analysis of long-term music listening histories (DB, JB, AB), pp. 1273–1276.
CHI-2012-DunneRLMR #multi #named #network: GraphTrail: analyzing large multivariate, heterogeneous networks while supporting exploration history (CD, NHR, BL, RAM, GGR), pp. 1663–1672.
CHI-2012-FisherPDs #dataset #incremental #performance #trust #visualisation: Trust me, I’m partially right: incremental visualization lets analysts explore large datasets faster (DF, IOP, SMD, MMCS), pp. 1673–1682.
CHI-2012-GuyURWO #enterprise #people: Best faces forward: a large-scale study of people search in the enterprise (IG, SU, IR, SW, TO), pp. 1775–1784.
CHI-2012-JoshiKC #mobile: Looking at you: fused gyro and face tracking for viewing large imagery on mobile devices (NJ, AK, MFC), pp. 2211–2220.
CHI-2012-KhaledI #game studies: Tales from the front lines of a large-scale serious game project (RK, GI), pp. 69–78.
CHI-2012-SchwarzKHDW #ad hoc #mobile #using: Phone as a pixel: enabling ad-hoc, large-scale displays using mobile devices (JS, DK, CH, PD, AW), pp. 2235–2238.
CHI-2012-SeifriedRHS #interactive #undo: Regional undo/redo techniques for large interactive surfaces (TS, CR, MH, SDS), pp. 2855–2864.
CHI-2012-YangFLGB #architecture #navigation #web: Aural browsing on-the-go: listening-based back navigation in large web architectures (TY, MF, YL, RRG, DB), pp. 277–286.
CSCW-2012-PhillipsRS #development #integration #parallel #process: Information needs for integration decisions in the release process of large-scale parallel development (SP, GR, JS), pp. 1371–1380.
CSCW-2012-XuB #case study #community #interactive #online #what: What do you think?: a case study of benefit, expectation, and interaction in a large online critique community (AX, BPB), pp. 295–304.
ICEIS-J-2012-ChenIAPGLMW12a #enterprise: Large-Scale Enterprise Systems: Changes and Impacts (WC, AI, AA, JP, CG, ML, TSEM, AW), pp. 274–290.
ICEIS-v1-2012-TertiltBK #algorithm #enterprise #modelling #performance #using: Modeling the Performance and Scalability of a SAP ERP System using an Evolutionary Algorithm (DT, AB, HK), pp. 112–118.
ICEIS-v2-2012-ChenIAPGLMW #enterprise #impact analysis: Change Impact Analysis for Large-scale Enterprise Systems (WC, AI, AA, JP, CG, ML, TSEM, AW), pp. 359–368.
CIKM-2012-BabbarPGA #classification #empirical #on the #trade-off: On empirical tradeoffs in large scale hierarchical classification (RB, IP, ÉG, CA), pp. 2299–2302.
CIKM-2012-BambaSGBF #concept #recommendation #using: The twitaholic next door.: scalable friend recommender system using a concept-sensitive hash function (PB, JS, CG, NB, JF), pp. 2275–2278.
CIKM-2012-BhatiaHHS #approach #query: A scalable approach for performing proximal search for verbose patent search queries (SB, BH, QH, WSS), pp. 2603–2606.
CIKM-2012-CandanRSW #named #set #visualisation: STFMap: query- and feature-driven visualization of large time series data sets (KSC, RR, MLS, XW), pp. 2743–2745.
CIKM-2012-ChiangWD #clustering #network #normalisation #using: Scalable clustering of signed networks using balance normalized cut (KYC, JJW, ISD), pp. 615–624.
CIKM-2012-CreceliusS #graph #maintenance #nearest neighbour: Pay-as-you-go maintenance of precomputed nearest neighbors in large graphs (TC, RS), pp. 952–961.
CIKM-2012-DengSZ #analysis #documentation #performance: Efficient jaccard-based diversity analysis of large document collections (FD, SS, SZ), pp. 1402–1411.
CIKM-2012-GaoCK #graph #keyword: Information-complete and redundancy-free keyword search over large data graphs (BJG, ZC, QK), pp. 2639–2642.
CIKM-2012-GubichevN #approximate #graph #performance: Fast approximation of steiner trees in large graphs (AG, TN), pp. 1497–1501.
CIKM-2012-JatowtT #analysis: Large scale analysis of changes in english vocabulary over recent time (AJ, KT), pp. 2523–2526.
CIKM-2012-LiYWK #graph #proximity: Density index and proximity search in large graphs (NL, XY, ZW, AK), pp. 235–244.
CIKM-2012-LuZZX #image #learning #semantics #set: Semantic context learning with large-scale weakly-labeled image set (YL, WZ, KZ, XX), pp. 1859–1863.
CIKM-2012-NegahbanRG #learning #multi #performance #statistics #using: Scaling multiple-source entity resolution using statistically efficient transfer learning (SN, BIPR, JG), pp. 2224–2228.
CIKM-2012-RahmanBH #algorithm #analysis #approximate #graph #named: GRAFT: an approximate graphlet counting algorithm for large graph analysis (MR, MB, MAH), pp. 1467–1471.
CIKM-2012-SakrEH #graph #hybrid #named #query: G-SPARQL: a hybrid engine for querying large attributed graphs (SS, SE, YH), pp. 335–344.
CIKM-2012-SarmaJMB #automation: An automatic blocking mechanism for large-scale de-duplication tasks (ADS, AJ, AM, PB), pp. 1055–1064.
CIKM-2012-ShenRS #categorisation #e-commerce: Large-scale item categorization for e-commerce (DS, JDR, BS), pp. 595–604.
CIKM-2012-TongPEFF #graph: Gelling, and melting, large graphs by edge manipulation (HT, BAP, TER, MF, CF), pp. 245–254.
CIKM-2012-XiangFWHR #corpus #detection #topic #twitter: Detecting offensive tweets via topical feature discovery over a large scale twitter corpus (GX, BF, LW, JIH, CPR), pp. 1980–1984.
CIKM-2012-YangZW #collaboration #incremental #predict #using: Scalable collaborative filtering using incremental update and local link prediction (XY, ZZ, KW), pp. 2371–2374.
ICML-2012-GoodfellowCB #learning: Large-Scale Feature Learning With Spike-and-Slab Sparse Coding (IJG, ACC, YB), p. 180.
ICML-2012-HoiWZJW #algorithm #bound #kernel #learning #online #performance: Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning (SCHH, JW, PZ, RJ, PW), p. 141.
ICML-2012-KoS #modelling: Large Scale Variational Bayesian Inference for Structured Scale Mixture Models (YJK, MWS), p. 229.
ICML-2012-LeRMDCCDN #learning #using: Building high-level features using large scale unsupervised learning (QVL, MR, RM, MD, GC, KC, JD, AYN), p. 69.
ICML-2012-ScherrerHTH #algorithm #coordination #problem: Scaling Up Coordinate Descent Algorithms for Large ℓ1 Regularization Problems (CS, MH, AT, DH), p. 50.
ICPR-2012-AyvaciJLCS #self #video: Video upscaling via spatio-temporal self-similarity (AA, HJ, ZL, SC, SS), pp. 2190–2193.
ICPR-2012-BespalovQBS #classification #image #using: Large-scale image classification using supervised spatial encoder (DB, YQ, BB, AS), pp. 581–584.
ICPR-2012-ChenYY #analysis #null #recognition: Large margin null space discriminant analysis with applications to face recognition (XC, JY, WY), pp. 1679–1682.
ICPR-2012-FausserS #clustering #dataset #kernel: Clustering large datasets with kernel methods (SF, FS), pp. 501–504.
ICPR-2012-LiuCSTN #learning #multi #performance #problem #recursion: Recursive NMF: Efficient label tree learning for large multi-class problems (LL, PMC, SS, PNT, AN), pp. 2148–2151.
ICPR-2012-SahayR #3d #modelling #re-engineering #self: Harnessing self-similarity for reconstruction of large missing regions in 3D Models (PS, ANR), pp. 101–104.
ICPR-2012-SjobergKIL #classification #concept #detection #linear #realtime #visual notation: Real-time large-scale visual concept detection with linear classifiers (MS, MK, SI, JL), pp. 421–424.
ICPR-2012-SunLI #quality: A pixel-domain mode-mapping based SVC-to-AVC transcoder with coarse grain quality scalability (LS, ZL, TI), pp. 939–942.
ICPR-2012-VidalCMST #database #image: Sorted dominant local color for searching large and heterogeneous image databases (MLAV, JMBC, ESdM, ASdS, RdST), pp. 1960–1963.
ICPR-2012-ZhangFWZJ #image #using: Scalable image co-segmentation using color and covariance features (SZ, WF, LW, JZ, JJ), pp. 3708–3711.
KDD-2012-ChauAVTF #graph #interactive #named #visualisation: TourViz: interactive visualization of connection pathways in large graphs (DHC, LA, JV, HT, CF), pp. 1516–1519.
KDD-2012-HalawiDGK #constraints #learning #word: Large-scale learning of word relatedness with constraints (GH, GD, EG, YK), pp. 1406–1414.
KDD-2012-HendersonGETBAKFL #graph #mining #named: RolX: structural role extraction & mining in large graphs (KH, BG, TER, HT, SB, LA, DK, CF, LL), pp. 1231–1239.
KDD-2012-KangPHF #algorithm #analysis #named: GigaTensor: scaling tensor analysis up by 100 times — algorithms and discoveries (UK, EEP, AH, CF), pp. 316–324.
KDD-2012-KuksaP #evaluation #kernel #performance #sequence: Efficient evaluation of large sequence kernels (PPK, VP), pp. 759–767.
KDD-2012-LiuBEWFZ #comparison #mining: Mining large-scale, sparse GPS traces for map inference: comparison of approaches (XL, JB, JE, YW, GF, YZ), pp. 669–677.
KDD-2012-Posse #lessons learnt #network #recommendation #social: Key lessons learned building recommender systems for large-scale social networks (CP), p. 587.
KDD-2012-SindhwaniG #distributed #learning #taxonomy: Large-scale distributed non-negative sparse coding and sparse dictionary learning (VS, AG), pp. 489–497.
KDD-2012-StantonK #clustering #distributed #graph #streaming: Streaming graph partitioning for large distributed graphs (IS, GK), pp. 1222–1230.
KDD-2012-XingLHCHLLMZ #behaviour #chat #detection #online #video: Scalable misbehavior detection in online video chat services (XX, YLL, SH, HC, RH, QL, XL, SM, YZ), pp. 552–560.
KMIS-2012-MarsanCE #analysis #behaviour #enterprise #framework #information management #platform #tool support #using: Factors Influencing the Behavioral Intention of using Enterprise 2.0 Tools as a Knowledge Management Platform — An Analysis of the UTAUT Model in an Large Real Estate Company (BM, LC, EE), pp. 281–284.
RecSys-2012-BellufXG #case study #online #personalisation #recommendation: Case study on the business value impact of personalized recommendations on a large online retailer (TB, LX, RG), pp. 277–280.
RecSys-2012-SchelterBM #pipes and filters #similarity: Scalable similarity-based neighborhood methods with MapReduce (SS, CB, VM), pp. 163–170.
SEKE-2012-Collazo-MojicaSEB #constraints #monitoring: Cloud Application Resource Mapping and Scaling Based on Monitoring of QoS Constraints (XJCM, SMS, JE, RMB), pp. 88–93.
SIGIR-2012-GaoWL #graph #information retrieval #learning #mining: Large-scale graph mining and learning for information retrieval (BG, TW, TYL), pp. 1194–1195.
SIGIR-2012-KongLG #image #retrieval: Manhattan hashing for large-scale image retrieval (WK, WJL, MG), pp. 45–54.
SIGIR-2012-LeiCCIH #layout #retrieval: Where is who: large-scale photo retrieval by facial attributes and canvas layout (YHL, YYC, BCC, LI, WHH), pp. 701–710.
SIGIR-2012-Najork #detection #web: Detecting quilted web pages at scale (MN), pp. 385–394.
SIGIR-2012-SeverynM #learning #ranking: Structural relationships for large-scale learning of answer re-ranking (AS, AM), pp. 741–750.
SIGIR-2012-ShenPWY #concept #modelling #music: Modeling concept dynamics for large scale music search (JS, HP, MW, SY), pp. 455–464.
SIGIR-2012-WangCXL #matrix #modelling #topic: Group matrix factorization for scalable topic modeling (QW, ZC, JX, HL), pp. 375–384.
SIGIR-2012-XiaWHJ #image #kernel #multi #retrieval: Boosting multi-kernel locality-sensitive hashing for scalable image retrieval (HX, PW, SCHH, RJ), pp. 55–64.
SIGIR-2012-YuLZZL #estimation #network #performance #towards: SimFusion+: extending simfusion towards efficient estimation on large and dynamic networks (WY, XL, WZ, YZ, JL), pp. 365–374.
MoDELS-2012-KuhnMT #case study #development #modelling: An Exploratory Study of Forces and Frictions Affecting Large-Scale Model-Driven Development (AK, GCM, CAT), pp. 352–367.
MoDELS-2012-ScheidgenZFK #automation #modelling: Automated and Transparent Model Fragmentation for Persisting Large Models (MS, AZ, JF, THK), pp. 102–118.
SPLC-2012-JohansenHF #algorithm #array #feature model #generative #modelling: An algorithm for generating t-wise covering arrays from large feature models (MFJ, ØH, FF), pp. 46–55.
TOOLS-EUROPE-J-2011-LavalFVD12 #performance #ranking #retrieval: Efficient Retrieval and Ranking of Undesired Package Cycles in Large Software Systems (JL, JRF, PV, SD), pp. 1–24.
ECOOP-2012-DeD #analysis #java #pointer: Scalable Flow-Sensitive Pointer Analysis for Java with Strong Updates (AD, DD), pp. 665–687.
ECOOP-2012-GudkaHE #library: Lock Inference in the Presence of Large Libraries (KG, TH, SE), pp. 308–332.
OOPSLA-2012-SiddiquiK #analysis #execution #symbolic computation #using: Scaling symbolic execution using ranged analysis (JHS, SK), pp. 523–536.
PLDI-2012-RamanZSVY #concurrent #detection #parallel #precise: Scalable and precise dynamic datarace detection for structured parallelism (RR, JZ, VS, MTV, EY), pp. 531–542.
ASE-2012-YuanG #approach #clone detection #detection #named: Boreas: an accurate and scalable token-based approach to code clone detection (YY, YG), pp. 286–289.
FSE-2012-ChandramohanTS #behaviour #clustering #modelling: Scalable malware clustering through coarse-grained behavior modeling (MC, HBKT, LKS), p. 27.
FSE-2012-Torlak #generative #modelling #multi #testing: Scalable test data generation from multidimensional models (ET), p. 36.
ICSE-2012-AndronickJKKSZZ #perspective #process #verification: Large-scale formal verification in practice: A process perspective (JA, DRJ, GK, RK, MS, HZ, LZ), pp. 1002–1011.
ICSE-2012-CaiC #concurrent #detection #named: MagicFuzzer: Scalable deadlock detection for large-scale applications (YC, WKC), pp. 606–616.
ICSE-2012-NaganoNKAHUF #mining #repository #using: Using the GPGPU for scaling up Mining Software Repositories (RN, HN, YK, BA, KH, NU, AF), pp. 1435–1436.
ICSE-2012-Penix #automation #in the cloud #testing: Large-scale test automation in the cloud (JP), p. 1122.
ICSE-2012-PloomSG #migration #process: Methodology for migration of long running process instances in a global large scale BPM environment in Credit Suisse’s SOA landscape (TP, SS, AG), pp. 977–986.
ICSE-2012-ShahzadSL #analysis #lifecycle: A large scale exploratory analysis of software vulnerability life cycles (MS, MZS, AXL), pp. 771–781.
ICSE-2012-SillittiSV #case study #comprehension #developer #industrial #programming: Understanding the impact of Pair Programming on developers attention: A case study on a large industrial experimentation (AS, GS, JV), pp. 1094–1101.
SAC-2012-DestefanisTCM #analysis #anti #java: An analysis of anti-micro-patterns effects on fault-proneness in large Java systems (GD, RT, GC, MM), pp. 1251–1253.
SAC-2012-KangJC #3d #using #video: Scalable depth map coding for 3D video using contour information (JK, HJ, KC), pp. 1028–1029.
SAC-2012-KhucSRR #analysis #distributed #sentiment #towards #twitter: Towards building large-scale distributed systems for twitter sentiment analysis (VNK, CS, RR, JR), pp. 459–464.
SAC-2012-KorahSS #framework #multi #realtime: Multi-agent framework for real-time processing of large and dynamic search spaces (JK, EES, ESJ), pp. 755–762.
SAC-2012-LassaigneP #approximate #markov #process #verification: Approximate planning and verification for large markov decision processes (RL, SP), pp. 1314–1319.
SAC-2012-LeitnerSHID #middleware #named #novel: CloudScale: a novel middleware for building transparently scaling cloud applications (PL, BS, WH, CI, SD), pp. 434–440.
SAC-2012-ReichertKBB #personalisation #process #visualisation: Enabling personalized visualization of large business processes through parameterizable views (MR, JK, RB, TB), pp. 1653–1660.
ASPLOS-2012-ClementsKZ #using: Scalable address spaces using RCU balanced trees (ATC, MFK, NZ), pp. 199–210.
CASE-2012-FeiMAL #approach #automaton #finite: A symbolic approach to large-scale discrete event systems modeled as finite automata with variables (ZF, SM, KÅ, BL), pp. 502–507.
CASE-2012-YuLCCJ #automation: Automated robotic service in large-scale exhibition environments (WY, YCL, SC, HC, JJ), pp. 1156–1161.
DAC-2012-ChenZCZX #mobile #streaming #video: Quality-retaining OLED dynamic voltage scaling for video streaming applications on mobile devices (XC, JZ, YC, MZ, CJX), pp. 1000–1005.
DAC-2012-JiangZZY #embedded #multi #performance: Constructing large and fast multi-level cell STT-MRAM based cache for embedded processors (LJ, BZ, YZ, JY), pp. 907–912.
DAC-2012-LiuH #network #simulation: Dynamic river network simulation at large scale (FL, BRH), pp. 723–728.
DAC-2012-QiuM #question: Can pin access limit the footprint scaling? (XQ, MMS), pp. 1100–1106.
DAC-2012-WenZCWX #analysis #named #performance #reliability #statistics: PS3-RAM: a fast portable and scalable statistical STT-RAM reliability analysis method (WW, YZ, YC, YW, YX), pp. 1191–1196.
DATE-2012-BartoliniSFCB #energy #performance: Quantifying the impact of frequency scaling on the energy efficiency of the single-chip cloud computer (AB, MS, JNF, AKC, LB), pp. 181–186.
DATE-2012-BeckerDFMPV #embedded #evolution #modelling #named #verification: MOUSSE: Scaling modelling and verification to complex Heterogeneous Embedded Systems evolution (MB, GBD, FF, WM, GP, SV), pp. 296–299.
DATE-2012-BeniniFFM #composition #ecosystem #embedded #named: P2012: Building an ecosystem for a scalable, modular and high-efficiency embedded computing accelerator (LB, EF, DF, DM), pp. 983–987.
DATE-2012-RayB #verification: Scalable progress verification in credit-based flow-control systems (SR, RKB), pp. 905–910.
DATE-2012-SchoenmakerMSBTJ #simulation: Large signal simulation of integrated inductors on semi-conducting substrates (WS, MM, BDS, SB, CT, RJ), pp. 1221–1226.
DATE-2012-SuriBE #approach #multi #problem: A scalable GPU-based approach to accelerate the multiple-choice knapsack problem (BS, UDB, PE), pp. 1126–1129.
HPCA-2012-AhnCK #approach #architecture #network: Network within a network approach to create a scalable high-radix router microarchitecture (JHA, SC, JK), pp. 455–466.
HPCA-2012-NegiGAGS #hardware #lazy evaluation #memory management #named #transaction: π-TM: Pessimistic invalidation for scalable lazy hardware transactional memory (AN, JRTG, MEA, JMG, PS), pp. 141–152.
HPCA-2012-SanchezK #encoding #flexibility #named #set: SCD: A scalable coherence directory with flexible sharer set encoding (DS, CK), pp. 129–140.
HPDC-2012-HefeedaGA #approximate #clustering #dataset #distributed: Distributed approximate spectral clustering for large-scale datasets (MH, FG, WAA), pp. 223–234.
HPDC-2012-SchendelPJBBGLLKCKRS #hybrid #optimisation #parallel: ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization (ERS, SVP, JJ, DABI, ZG, SL, QL, HK, JC, SK, RBR, NFS), pp. 61–72.
HPDC-2012-UenoS #benchmark #graph #metric: Highly scalable graph search for the Graph500 benchmark (KU, TS), pp. 149–160.
ISMM-2012-IyengarGWM #concurrent #parallel: Scalable concurrent and parallel mark (BI, EFG, MW, KM), pp. 61–72.
LCTES-2012-HashemiFGE #embedded #named #streaming: FORMLESS: scalable utilization of embedded manycores in streaming applications (MH, MHF, SG, CE), pp. 71–78.
OSDI-2012-HanMCR #interface #named #network #programming: MegaPipe: A New Programming Interface for Scalable Network I/O (SH, SM, BGC, SR), pp. 135–148.
OSDI-2012-KyrolaBG #graph #named: GraphChi: Large-Scale Graph Computation on Just a PC (AK, GEB, CG), pp. 31–46.
PDP-2012-DavidovicQ #problem #reduction #symmetry: Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs (DD, ESQO), pp. 442–449.
PDP-2012-RungerS #interactive #manycore #parallel #simulation: Interaction List Compression in Large Parallel Particle Simulations on Multicore Systems (GR, MS), pp. 190–197.
PPoPP-2012-DinhAJGMR #debugging #parallel #statistics: Scalable parallel debugging with statistical assertions (MND, DA, CJ, AG, BM, LDR), pp. 311–312.
PPoPP-2012-HuynhHWG #framework #multi #streaming: Scalable framework for mapping streaming applications onto multi-GPU systems (HPH, AH, WFW, RSMG), pp. 1–10.
PPoPP-2012-MerrillGG #gpu #graph #traversal: Scalable GPU graph traversal (DM, MG, ASG), pp. 117–128.
PPoPP-2012-NobariCKB #parallel: Scalable parallel minimum spanning forest computation (SN, TTC, PK, SB), pp. 205–214.
PPoPP-2012-TaoBB #development #gpu #kernel #using: Using GPU’s to accelerate stencil-based computation kernels for the development of large scale scientific applications on heterogeneous systems (JT, MB, SRB), pp. 287–288.
STOC-2012-AlonMS #graph: Nearly complete graphs decomposable into large induced matchings and their applications (NA, AM, BS), pp. 1079–1090.
CAV-2012-Venet #analysis #difference #invariant #linear: The Gauge Domain: Scalable Analysis of Linear Inequality Invariants (AV), pp. 139–154.
ICST-2012-JonssonBSE #automation #towards #using: Towards Automated Anomaly Report Assignment in Large Complex Systems Using Stacked Generalization (LJ, DB, KS, SE), pp. 437–446.
ICST-2012-KimKR #approach #distributed #empirical #evaluation #testing: A Scalable Distributed Concolic Testing Approach: An Empirical Evaluation (MK, YK, GR), pp. 340–349.
ICST-2012-Nguyen #comprehension #detection #performance #using: Using Control Charts for Detecting and Understanding Performance Regressions in Large Software (THDN), pp. 491–494.
ICST-2012-ZamanAH #analysis #empirical #performance: A Large Scale Empirical Study on User-Centric Performance Analysis (SZ, BA, AEH), pp. 410–419.
IJCAR-2012-KuhlweinLTUH #evaluation #overview: Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics (DK, TvL, ET, JU, TH), pp. 378–392.
SAT-2012-BloomGHSSS #framework #game studies #named #parallel #satisfiability: SatX10: A Scalable Plug&Play Parallel SAT Framework — (BB, DG, BH, AS, HS, VAS), pp. 463–468.
SAT-2012-HyvarinenM #design #parallel #satisfiability: Designing Scalable Parallel SAT Solvers (AEJH, NM), pp. 214–227.
WICSA-2011-HarrisonC #architecture: Attempting to Understand the Progress of Software Architecture Decision-Making on Large Australian Defence Projects (TCH, APC), pp. 42–45.
ICDAR-2011-BaeXE #comprehension #documentation: Facilitating Understanding of Large Document Collections (JHB, WX, ME), pp. 1334–1338.
ICDAR-2011-ChenZN #generative #online #recognition: Effects of Generating a Large Amount of Artificial Patterns for On-line Handwritten Japanese Character Recognition (BC, BZ, MN), pp. 663–667.
ICDAR-2011-SpasojevicP #clustering #similarity: Large Scale Page-Based Book Similarity Clustering (NS, GP), pp. 119–125.
ICDAR-2011-ZhuN11a #classification #online #recognition: A Coarse Classifier Construction Method from a Large Number of Basic Recognizers for On-line Recognition of Handwritten Japanese Characters (BZ, MN), pp. 1090–1094.
SIGMOD-2011-DongS #detection: Large-scale copy detection (XLD, DS), pp. 1205–1208.
SIGMOD-2011-KhanLYGCT #graph #network #performance: Neighborhood based fast graph search in large networks (AK, NL, XY, ZG, SC, ST), pp. 901–912.
SIGMOD-2011-KonstantinidisA #approach #graph #query: Scalable query rewriting: a graph-based approach (GK, JLA), pp. 97–108.
SIGMOD-2011-LiMDMS #framework #pipes and filters #platform #using: A platform for scalable one-pass analytics using MapReduce (BL, EM, YD, AM, PJS), pp. 985–996.
SIGMOD-2011-LinACOW #framework #named #pipes and filters: Llama: leveraging columnar storage for scalable join processing in the MapReduce framework (YL, DA, CC, BCO, SW), pp. 961–972.
SIGMOD-2011-SatuluriPR #clustering #graph: Local graph sparsification for scalable clustering (VS, SP, YR), pp. 721–732.
TPDL-2011-EckertP #classification #library: An Application to Support Reclassification of Large Libraries (KE, MP), pp. 461–464.
TPDL-2011-WongCRCX #interactive #library #named #visualisation: INVISQUE: Technology and Methodologies for Interactive Information Visualization and Analytics in Large Library Collections (BLWW, S(C, CR, RC, KX), pp. 227–235.
VLDB-2011-BeyerEGBEKOS #data analysis #named #scripting language #semistructured data: Jaql: A Scripting Language for Large Scale Semistructured Data Analysis (KSB, VE, RG, AB, MYE, CCK, FÖ, EJS), pp. 1272–1283.
VLDB-2011-DalviKS #automation #web: Automatic Wrappers for Large Scale Web Extraction (NND, RK, MAS), pp. 219–230.
VLDB-2011-DashPA #interactive #named: CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads (DD, NP, AA), pp. 362–372.
VLDB-2011-FurcheGGSS #named #web: OXPath: A Language for Scalable, Memory-efficient Data Extraction from Web Applications (TF, GG, GG, CS, AJS), pp. 1016–1027.
VLDB-2011-HuangAR #graph #query #rdf: Scalable SPARQL Querying of Large RDF Graphs (JH, DJA, KR), pp. 1123–1134.
VLDB-2011-NiuRDS #logic #markov #named #network #statistics #using: Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS (FN, CR, AD, JWS), pp. 373–384.
VLDB-2011-PansareBJC #online #pipes and filters: Online Aggregation for Large MapReduce Jobs (NP, VRB, CJ, TC), pp. 1135–1145.
VLDB-2011-RaoST #consistency #using: Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore (JR, EJS, ST), pp. 243–254.
VLDB-2011-RastogiDG: Large-Scale Collective Entity Matching (VR, NND, MNG), pp. 208–218.
VLDB-2011-YuanWWC #graph #nondeterminism #performance: Efficient Subgraph Search over Large Uncertain Graphs (YY, GW, HW, LC), pp. 876–886.
VLDB-2011-ZhuQLYHY #mining #network: Mining Top-K Large Structural Patterns in a Massive Network (FZ, QQ, DL, XY, JH, PSY), pp. 807–818.
VLDB-2012-BarskyKWH11 #correlation #dataset #mining #taxonomy: Mining Flipping Correlations from Large Datasets with Taxonomies (MB, SK, TW, JH), pp. 370–381.
VLDB-2012-GaoJZYJW11 #approach #graph #relational: Relational Approach for Shortest Path Discovery over Large Graphs (JG, RJ, JZ, JXY, XJ, TW), pp. 358–369.
VLDB-2012-JestesYL11 #pipes and filters: Building Wavelet Histograms on Large Data in MapReduce (JJ, KY, FL), pp. 109–120.
ITiCSE-2011-VihavainenPLK: Extreme apprenticeship method: key practices and upward scalability (AV, MP, ML, JK), pp. 273–277.
SIGITE-2011-KurhilaV #programming #tool support: Management, structures and tools to scale up personal advising in large programming courses (JK, AV), pp. 3–8.
CSMR-2011-Borg #evaluation #traceability: In Vivo Evaluation of Large-Scale IR-Based Traceability Recovery (MB), pp. 365–368.
ICPC-2011-AlawnehH #named #performance: MTF: A Scalable Exchange Format for Traces of High Performance Computing Systems (LA, AHL), pp. 181–184.
ICPC-2011-Cordy #clone detection #detection #incremental #similarity #using: Exploring Large-Scale System Similarity Using Incremental Clone Detection and Live Scatterplots (JRC), pp. 151–160.
ICPC-2011-FabryKD #named #visualisation: AspectMaps: A Scalable Visualization of Join Point Shadows (JF, AK, SD), pp. 121–130.
ICPC-2011-Medini #automation #concept #execution #mining: Scalable Automatic Concept Mining from Execution Traces (SM), pp. 238–241.
ICPC-2011-PanchenkoKPZ #database #precise #query #source code #using: Precise and Scalable Querying of Syntactical Source Code Patterns Using Sample Code Snippets and a Database (OP, JK, HP, AZ), pp. 41–50.
ICSM-2011-JiresalCN #cobol #detection #precise #source code: Precise detection of un-initialized variables in large, real-life COBOL programs in presence of unrealizable paths (RJ, AC, RN), pp. 448–456.
ICSM-2011-KobayashiMIHKY #fault #impact analysis #named #predict: ImpactScale: Quantifying change impact to predict faults in large software systems (KK, AM, KI, YH, MK, TY), pp. 43–52.
WCRE-2011-AbdeenDS #composition #legacy #metric #object-oriented: Modularization Metrics: Assessing Package Organization in Legacy Large Object-Oriented Software (HA, SD, HAS), pp. 394–398.
WCRE-2011-ShangJAHGNF #case study #evolution #execution: An Exploratory Study of the Evolution of Communicated Information about the Execution of Large Software Systems (WS, ZMJ, BA, AEH, MWG, MNN, PF), pp. 335–344.
WCRE-2011-UddinRSH #detection #effectiveness #on the: On the Effectiveness of Simhash for Detecting Near-Miss Clones in Large Scale Software Systems (MSU, CKR, KAS, AH), pp. 13–22.
DiGRA-2011-SzymanezykDD #game studies #social: From Individual Characters to Large Crowds: Augmenting the Believability of Open-World Games through Exploring Social Emotion in Pedestrian Groups (OS, PD, TD).
CHI-2011-BeyerAMSIKSH #behaviour #interactive: Audience behavior around large interactive cylindrical screens (GB, FA, JM, AS, KI, SK, MS, IH), pp. 1021–1030.
CHI-2011-BragdonK #gesture: Gesture select: : acquiring remote targets on large displays without pointing (AB, HSK), pp. 187–196.
CHI-2011-ChauKHF #interactive #machine learning #named #network: Apolo: making sense of large network data by combining rich user interaction and machine learning (DHC, AK, JIH, CF), pp. 167–176.
CHI-2011-CostaCS #collaboration #coordination #distributed #evolution #generative #tool support: The scale and evolution of coordination needs in large-scale distributed projects: implications for the future generation of collaborative tools (JMdRC, MC, CRBdS), pp. 3151–3160.
CHI-2011-TuiteSHTP #game studies #image #named: PhotoCity: training experts at large-scale image acquisition through a competitive game (KT, NS, DYH, NT, ZP), pp. 1383–1392.
CSCW-2011-AlvesF #adaptation #chat #consistency #multi #named #performance #requirements: ReConMUC: adaptable consistency requirements for efficient large-scale multi-user chat (PA, PF), pp. 553–562.
CSCW-2011-BoltonKV #privacy: Privacy and sharing information on spherical and large flat displays (JB, KK, RV), pp. 573–574.
CSCW-2011-HandelP #case study #experience: Working around official applications: experiences from a large engineering project (MJH, SEP), pp. 309–312.
DUXU-v1-2011-HeckerB #case study #enterprise #experience #process #user interface: Scalability of UX Activities in Large Enterprises: An Experience Report from SAP AG (BH, MB), pp. 425–431.
DUXU-v1-2011-RiceTW #enterprise #testing #usability: ISO 25062 Usability Test Planning for a Large Enterprise Applications Suite (SR, JT, AMW), pp. 185–192.
DUXU-v2-2011-KaptanG11a #comprehension: Improving Code Reading and Comprehension on Large Displays (SNK, MG), pp. 128–134.
DUXU-v2-2011-RubegniML #interactive #social #using: Talking to Strangers: Using Large Public Displays to Facilitate Social Interaction (ER, NM, ML), pp. 195–204.
HCD-2011-KlineQ #network: Attribute Description Service for Large-Scale Networks (DK, JQ), pp. 519–528.
HCI-DDA-2011-GaoZRMS #overview #performance #perspective #visualisation: Performance Visualization for Large-Scale Computing Systems: A Literature Review (QG, XZ, PLPR, AAM, HJS), pp. 450–460.
HCI-DDA-2011-MoehrmannBSWH #image #set #usability: Improving the Usability of Hierarchical Representations for Interactively Labeling Large Image Data Sets (JM, SB, TS, GW, GH), pp. 618–627.
HCI-DDA-2011-Sandnes #configuration management #framework #image: A Configurable Photo Browser Framework for Large Image Collections (FES), pp. 643–652.
HCI-ITE-2011-AngeliniCCKM #gesture #interactive #multi #using: Multi-user Pointing and Gesture Interaction for Large Screen Using Infrared Emitters and Accelerometers (LA, MC, SC, OAK, EM), pp. 185–193.
HCI-ITE-2011-AsanOPM #case study #design #interface: Designing a Better Morning: A Study on Large Scale Touch Interface Design (OA, MO, DP, ENHM), pp. 13–22.
HCI-UA-2011-LiuS #performance: uMeeting, an Efficient Co-located Meeting System on the Large-Scale Tabletop (JL, YS), pp. 368–374.
HIMI-v2-2011-TanerYNB #generative #performance: An Efficient and Scalable Meeting Minutes Generation and Presentation Technique (BT, CY, AON, SB), pp. 345–352.
VISSOFT-2011-BroeksemaT #migration #visual notation: Visual support for porting large code bases (BB, ACT), pp. 1–8.
VISSOFT-2011-MaleticMNCSR #named #tool support #visualisation: MosaiCode: Visualizing large scale software: A tool demonstration (JIM, DJM, CDN, MLC, AS, BPR), pp. 1–4.
ICEIS-v4-2011-ZhouZ #case study: Study on the Long-term Incentive Mechanism of the Large-scale Dredging Project (BZ, ZZ), pp. 574–580.
CIKM-2011-Baumann #array: Large-scale array analytics: taming the data tsunami (PB), pp. 2599–2600.
CIKM-2011-Bradford #implementation #semantics: Implementation techniques for large-scale latent semantic indexing applications (RBB), pp. 339–344.
CIKM-2011-CaiZLZ #classification #semantics #wiki: Large-scale question classification in cQA by leveraging Wikipedia semantic knowledge (LC, GZ, KL, JZ), pp. 1321–1330.
CIKM-2011-ChangYQZW #network: Finding information nebula over large networks (LC, JXY, LQ, YZ, HW), pp. 1465–1474.
CIKM-2011-FlorezD #similarity: Scalable similarity search of timeseries with variable dimensionality (OUF, CED), pp. 2545–2548.
CIKM-2011-JatowtY: Extracting collective expectations about the future from large text collections (AJ, CmAY), pp. 1259–1264.
CIKM-2011-LauLBW #learning #sentiment #web: Leveraging web 2.0 data for scalable semi-supervised learning of domain-specific sentiment lexicons (RYKL, CLL, PB, KFW), pp. 2457–2460.
CIKM-2011-LeeLH: Scalable entity matching computation with materialization (SL, JL, SwH), pp. 2353–2356.
CIKM-2011-LiuT #behaviour #social: Large-scale behavioral targeting with a social twist (KL, LT), pp. 1815–1824.
CIKM-2011-MullerAGS #clustering: Scalable density-based subspace clustering (EM, IA, SG, TS), pp. 1077–1086.
CIKM-2011-SantosMP #information retrieval: Large-scale information retrieval experimentation with terrier (RLTS, RM, VP), pp. 2601–2602.
CIKM-2011-ShastriDRW #multi #named: MTopS: scalable processing of continuous top-k multi-query workloads (AS, DY, EAR, MOW), pp. 1107–1116.
CIKM-2011-TomasATV #named #query: RoSeS: a continuous query processor for large-scale RSS filtering and aggregation (JCT, BA, NT, DV), pp. 2549–2552.
CIKM-2011-TretyakovAGVD #estimation #graph #performance: Fast fully dynamic landmark-based estimation of shortest path distances in very large graphs (KT, AAC, LGB, JV, MD), pp. 1785–1794.
CIKM-2011-WeilerMM #ambiguity #approach #library #named: Authormagic: an approach to author disambiguation in large-scale digital libraries (HW, KMW, SM), pp. 2293–2296.
CIKM-2011-XieY #graph #named #performance: CP-index: on the efficient indexing of large graphs (YX, PSY), pp. 1795–1804.
CIKM-2011-XuZYCXZ #constraints #graph #reachability: Answering label-constraint reachability in large graphs (KX, LZ, JXY, LC, YX, DZ), pp. 1595–1600.
CIKM-2011-YalnizCM #detection: Partial duplicate detection for large book collections (IZY, EFC, RM), pp. 469–474.
CIKM-2011-YeungJ #how #mining #towards: Studying how the past is remembered: towards computational history through large scale text mining (CmAY, AJ), pp. 1231–1240.
CIKM-2011-ZhouPW #constraints #graph #keyword #performance: Efficient association discovery with keyword-based constraints on large graph data (MZ, YP, YW), pp. 2441–2444.
CIKM-2011-ZhuQYKL #graph #performance #quality: High efficiency and quality: large graphs matching (YZ, LQ, JXY, YK, XL), pp. 1755–1764.
ECIR-2011-ArampatzisZC #database #image #multimodal #retrieval: Dynamic Two-Stage Image Retrieval from Large Multimodal Databases (AA, KZ, SAC), pp. 326–337.
ECIR-2011-ChilukaAP #approach #predict #recommendation: A Link Prediction Approach to Recommendations in Large-Scale User-Generated Content Systems (NC, NA, JAP), pp. 189–200.
ECIR-2011-Gatterbauer #information management: Rules of Thumb for Information Acquisition from Large and Redundant Data (WG), pp. 479–490.
ECIR-2011-KurstenE #component #evaluation: A Large-Scale System Evaluation on Component-Level (JK, ME), pp. 679–682.
ECIR-2011-OhCM #classification #modelling #taxonomy #using: Text Classification for a Large-Scale Taxonomy Using Dynamically Mixed Local and Global Models for a Node (HSO, YC, SHM), pp. 7–18.
ICML-2011-CossalterYZ #adaptation #approximate #kernel #predict: Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction (MC, RY, LZ), pp. 409–416.
ICML-2011-DauphinGB #learning #re-engineering: Large-Scale Learning of Embeddings with Reconstruction Sampling (YD, XG, YB), pp. 945–952.
ICML-2011-GlorotBB #adaptation #approach #classification #learning #sentiment: Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach (XG, AB, YB), pp. 513–520.
ICML-2011-HuWC #coordination #kernel #learning #named #parametricity #using: BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent (EH, BW, SC), pp. 209–216.
ICML-2011-PazisP #set: Generalized Value Functions for Large Action Sets (JP, RP), pp. 1185–1192.
ICML-2011-Shalev-ShwartzGS #constraints #rank: Large-Scale Convex Minimization with a Low-Rank Constraint (SSS, AG, OS), pp. 329–336.
ICML-2011-SuSM #classification #multi #naive bayes #using: Large Scale Text Classification using Semisupervised Multinomial Naive Bayes (JS, JSS, SM), pp. 97–104.
KDD-2011-AhmedLAJS #behaviour #distributed: Scalable distributed inference of dynamic user interests for behavioral targeting (AA, YL, MA, VJ, AJS), pp. 114–122.
KDD-2011-Boyd #distributed #embedded #optimisation #realtime: Convex optimization: from embedded real-time to large-scale distributed (SB), p. 1.
KDD-2011-ChangR #convergence #linear #memory management #modelling #performance: Selective block minimization for faster convergence of limited memory large-scale linear models (KWC, DR), pp. 699–707.
KDD-2011-ChauKHF #graph #interactive #machine learning #named #visualisation: Apolo: interactive large graph sensemaking by combining machine learning and visualization (DHC, AK, JIH, CF), pp. 739–742.
KDD-2011-ChittaJHJ #approximate #clustering #kernel: Approximate kernel k-means: solution to large scale kernel clustering (RC, RJ, TCH, AKJ), pp. 895–903.
KDD-2011-CordeiroTTLKF #clustering #dataset #multi #pipes and filters: Clustering very large multi-dimensional datasets with MapReduce (RLFC, CTJ, AJMT, JL, UK, CF), pp. 690–698.
KDD-2011-GaoLWWL #graph #metadata #ranking: Semi-supervised ranking on very large graphs with rich metadata (BG, TYL, WW, TW, HL), pp. 96–104.
KDD-2011-GemullaNHS #distributed #matrix #probability: Large-scale matrix factorization with distributed stochastic gradient descent (RG, EN, PJH, YS), pp. 69–77.
KDD-2011-Inchiosa #data mining #mining #using: Accelerating large-scale data mining using in-database analytics (MEI), p. 778.
KDD-2011-KangTSLF #graph #named: GBASE: a scalable and general graph management system (UK, HT, JS, CYL, CF), pp. 1091–1099.
KDD-2011-KashyapK: Scalable kNN search on vertically stored time series (SK, PK), pp. 1334–1342.
KDD-2011-MalbasaV: Spatially regularized logistic regression for disease mapping on large moving populations (VM, SV), pp. 1352–1360.
KDD-2011-TongHWKL #graph #optimisation #ranking: Diversified ranking on large graphs: an optimization viewpoint (HT, JH, ZW, RK, CYL), pp. 1028–1036.
KDD-2011-WangDCV #adaptation #classification #multi: Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification (ZW, ND, KC, SV), pp. 24–32.
KDD-2011-ZhangHLSL #approach #learning #multi: Multi-view transfer learning with a large margin approach (DZ, JH, YL, LS, RDL), pp. 1208–1216.
KDIR-2011-Jean-LouisBFD #approach: A Weakly Supervised Approach for Large-scale Relation Extraction (LJL, RB, OF, AD), pp. 94–103.
MLDM-2011-ArmstrongD #database: Unsupervised Discovery of Motifs under Amplitude Scaling and Shifting in Time Series Databases (TA, ED), pp. 539–552.
SEKE-2011-QuattroneFMC #folksonomy #similarity: Measuring Similarity in Large-scale Folksonomies (GQ, EF, PDM, LC), pp. 385–391.
SEKE-2011-XueJYPZ #industrial #variability: Scalability of Variability Management: An Example of Industrial Practice and Some Improvements (YX, SJ, PY, XP, WZ), pp. 705–710.
SIGIR-2011-JethavaCBBD #identification #multi #using: Scalable multi-dimensional user intent identification using tree structured distributions (VJ, LCB, RABY, CB, DPD), pp. 395–404.
SIGIR-2011-KanoulasSMPA #algorithm #ranking #set: A large-scale study of the effect of training set characteristics over learning-to-rank algorithms (EK, SS, PM, VP, JAA), pp. 1243–1244.
SIGIR-2011-LagunA #interactive #named #user study #web: ViewSer: enabling large-scale remote user studies of web search examination and interaction (DL, EA), pp. 365–374.
SIGIR-2011-LeeHWHS #dataset #graph #image #learning #multi #pipes and filters #using: Multi-layer graph-based semi-supervised learning for large-scale image datasets using mapreduce (WYL, LCH, GLW, WHH, YFS), pp. 1121–1122.
SIGIR-2011-LiWLKP #named #personalisation #recommendation: SCENE: a scalable two-stage personalized news recommendation system (LL, DW, TL, DK, BP), pp. 125–134.
SIGIR-2011-MinackSN #approach #incremental #set: Incremental diversification for very large sets: a streaming-based approach (EM, WS, WN), pp. 585–594.
SIGIR-2011-ShiYGN #machine learning #network #recommendation #social: A large scale machine learning system for recommending heterogeneous content in social networks (YS, DY, AG, SN), pp. 1337–1338.
MoDELS-2011-Espinazo-PaganCM #approach #modelling #named: Morsa: A Scalable Approach for Persisting and Accessing Large Models (JEP, JSC, JGM), pp. 77–92.
MoDELS-2011-PalyartLOB #framework #maintenance: Improving Scalability and Maintenance of Software for High-Performance Scientific Computing by Combining MDE and Frameworks (MP, DL, IO, JMB), pp. 213–227.
SPLC-2011-SiegmundRKGAK #non-functional #predict #product line: Scalable Prediction of Non-functional Properties in Software Product Lines (NS, MR, CK, PGG, SA, SSK), pp. 160–169.
SPLC-2011-SinhaDR #development #multi #performance #product line #reduction #testing: Governance and Cost Reduction through Multi-tier Preventive Performance Tests in a Large-Scale Product Line Development (SS, TD, RR), pp. 295–302.
SPLC-2011-TischerMMK #case study #experience #product line: Experiences from a Large Scale Software Product Line Merger in the Automotive Domain (CT, AM, TM, RK), pp. 267–276.
ECOOP-2011-Meijer: A Co-relational Model of Data for Large Shared Data Banks (EM), p. 1.
ECOOP-2011-PothierT #debugging #query: Summarized Trace Indexing and Querying for Scalable Back-in-Time Debugging (GP, ÉT), pp. 558–582.
ECOOP-2011-RichardsHBV #javascript #using: The Eval That Men Do — A Large-Scale Study of the Use of Eval in JavaScript Applications (GR, CH, BB, JV), pp. 52–78.
OOPSLA-2011-TuronR: Scalable join patterns (AJT, CVR), pp. 575–594.
OOPSLA-2011-WuHIN #java #performance: Reducing trace selection footprint for large-scale Java applications without performance loss (PW, HH, HI, TN), pp. 789–804.
TOOLS-EUROPE-2011-FalleriDLVD #performance #ranking #retrieval: Efficient Retrieval and Ranking of Undesired Package Cycles in Large Software Systems (JRF, SD, JL, PV, SD), pp. 260–275.
PLDI-2011-BeckmanN #composition #probability #specification #type system: Probabilistic, modular and scalable inference of typestate specifications (NEB, AVN), pp. 211–221.
PLDI-2011-LiangN #abstraction #refinement: Scaling abstraction refinement via pruning (PL, MN), pp. 590–601.
POPL-2011-CousotCL #analysis #array #automation #parametricity #segmentation: A parametric segmentation functor for fully automatic and scalable array content analysis (PC, RC, FL), pp. 105–118.
RE-2011-BjarnasonWR #case study #communication #development #requirements: Requirements are slipping through the gaps — A case study on causes & effects of communication gaps in large-scale software development (EB, KW, BR), pp. 37–46.
RE-2011-Regnell #evolution #mobile #problem: Large-scale feature evolution: Problems and solutions from the mobile domain (BR), p. 323.
REFSQ-2011-WnukRB #challenge #complexity #development #requirements: Scaling Up Requirements Engineering — Exploring the Challenges of Increasing Size and Complexity in Market-Driven Software Development (KW, BR, BB), pp. 54–59.
ASE-2011-Ganai #analysis #precise: Scalable and precise symbolic analysis for atomicity violations (MKG), pp. 123–132.
ASE-2011-IvancicBGSMTIM #bound #framework #named #verification: DC2: A framework for scalable, scope-bounded software verification (FI, GB, AG, SS, NM, HT, TI, YM), pp. 133–142.
ASE-2011-RobinsonEPAL #automation #generative #source code #testing: Scaling up automated test generation: Automatically generating maintainable regression unit tests for programs (BR, MDE, JHP, VA, NL), pp. 23–32.
ESEC-FSE-2011-CifuentesKLHVBZCTH #fault #using: Static deep error checking in large system applications using parfait (CC, NK, LL, NH, MV, AB, JZ, AC, DT, CH), pp. 432–435.
ESEC-FSE-2011-KimK #embedded #named #reliability #testing: SCORE: a scalable concolic testing tool for reliable embedded software (YK, MK), pp. 420–423.
ICSE-2011-AdlerBRSSUZ #analysis #test coverage: Code coverage analysis in practice for large systems (YA, NB, OR, OS, NS, SU, AZ), pp. 736–745.
ICSE-2011-PortNHH #case study #development #experience #mining: Experiences with text mining large collections of unstructured systems development artifacts at jpl (DP, APN, JH, LH), pp. 701–710.
ICSE-2011-Zhang11a #automation: Scalable automatic linearizability checking (SJZ), pp. 1185–1187.
SAC-2011-CaiFU #database #recognition: Massive character recognition with a large ground-truthed database (WC, YF, SU), pp. 240–244.
SAC-2011-ChungPK #memory management #performance: LSTAFF*: an efficient flash translation layer for large block flash memory (TSC, DJP, JK), pp. 589–594.
SAC-2011-FormigaLSDT #assessment #matrix #recognition: An assessment of data matrix barcode recognition under scaling, rotation and cylindrical warping (AdAF, RDL, SJS, GD, MT), pp. 266–267.
SAC-2011-GroppeG #database #query #semantics #web: Parallelizing join computations of SPARQL queries for large semantic web databases (JG, SG), pp. 1681–1686.
SAC-2011-LammelPS #analysis #java #open source: Large-scale, AST-based API-usage analysis of open-source Java projects (RL, EP, JS), pp. 1317–1324.
SAC-2011-LiuWYL #modelling #protocol: Scalable CP-nets modeling for BitTorrent protocol (JL, HW, XY, JL), pp. 542–543.
SAC-2011-RyuKPC #assessment #quality: A web-based photo management system for large photo collections with user-customizable quality assessment (DSR, KK, SYP, HGC), pp. 1229–1236.
SLE-2011-BastenKV #ambiguity #detection: Ambiguity Detection: Scaling to Scannerless (BB, PK, JJV), pp. 303–323.
ASPLOS-2011-EsmaeilzadehCXBM #hardware #performance #roadmap: Looking back on the language and hardware revolutions: measured power, performance, and scaling (HE, TC, XY, SMB, KSM), pp. 319–332.
CGO-2011-BorinWBW #commit #named: LAR-CC: Large atomic regions with conditional commits (EB, YW, MBJ, CW), pp. 54–63.
CGO-2011-GreathouseLAB #analysis #data flow #distributed: Highly scalable distributed dataflow analysis (JLG, CL, TMA, VB), pp. 277–288.
DAC-2011-ChippaRRC #trade-off: Dynamic effort scaling: managing the quality-efficiency tradeoff (VKC, AR, KR, STC), pp. 603–608.
DAC-2011-HsiaoD #bound #parallel: A highly scalable parallel boundary element method for capacitance extraction (YCH, LD), pp. 552–557.
DAC-2011-MukherjeeFBL #automation #linear: Automatic stability checking for large linear analog integrated circuits (PM, GPF, RB, PL), pp. 304–309.
DAC-2011-Saha #architecture #composition #named #reuse: CIRUS: a scalable modular architecture for reusable drivers (BS), pp. 260–261.
DAC-2011-ShinKCP: Dynamic voltage scaling of OLED displays (DS, YK, NC, MP), pp. 53–58.
DATE-2011-BarceloGBS #estimation #performance: An efficient and scalable STA tool with direct path estimation and exhaustive sensitization vector exploration for optimal delay computation (SB, XG, SAB, JS), pp. 1602–1607.
DATE-2011-BehrendLHRKR #embedded #hybrid #verification: Scalable hybrid verification for embedded software (JB, DL, PH, JR, TK, WR), pp. 179–184.
DATE-2011-GobbatoCG #megamodelling #parallel: A parallel Hamiltonian eigensolver for passivity characterization and enforcement of large interconnect macromodels (LG, AC, SGT), pp. 26–31.
DATE-2011-KangD #classification #gpu #metaprogramming: Scalable packet classification via GPU metaprogramming (KK, YSD), pp. 871–874.
DATE-2011-StranoGLFGB #architecture #self: Exploiting Network-on-Chip structural redundancy for a cooperative and scalable built-in self-test architecture (AS, CGR, DL, MF, MEG, DB), pp. 661–666.
DATE-2011-WilleKD: Determining the minimal number of lines for large reversible circuits (RW, OK, RD), pp. 1204–1207.
DATE-2011-ZhaoDX #3d #design #energy #fine-grained: An energy-efficient 3D CMP design with fine-grained voltage scaling (JZ, XD, YX), pp. 539–542.
HPCA-2011-FerdmanLBF #manycore: Cuckoo directory: A scalable directory for many-core systems (MF, PLK, KB, BF), pp. 169–180.
HPCA-2011-JacobsonBBAE #abstraction #architecture #modelling: Abstraction and microarchitecture scaling in early-stage power modeling (HMJ, AB, PB, EA, RJE), pp. 394–405.
HPDC-2011-ZhouKB #debugging #detection #locality #named #parallel #source code #using: Vrisha: using scaling properties of parallel programs for bug detection and localization (BZ, MK, SB), pp. 85–96.
PDP-2011-AliKGP #approach #communication #fault tolerance #modelling #programming: A Redundant Communication Approach to Scalable Fault Tolerance in PGAS Programming Models (NA, SK, NG, BJP), pp. 24–31.
PDP-2011-Kraxberger #network: Scalable Secure Routing for Heterogeneous Unstructured P2P Networks (SK), pp. 619–626.
PDP-2011-LukawskiS #data type #distributed #maintenance: Balancing Workloads of Servers Maintaining Scalable Distributed Data Structures (GL, KS), pp. 80–84.
PDP-2011-StotzkaHJSWHGKB: Perspective of the Large Scale Data Facility (LSDF) Supporting Nuclear Fusion Applications (RS, VH, TJ, MS, JvW, MH, AG, RK, SB), pp. 373–379.
PPoPP-2011-FengGH #commit #named #parallel: SpiceC: scalable parallelism via implicit copying and explicit commit (MF, RG, YH), pp. 69–80.
PPoPP-2011-FernandesC #memory management #multi #transaction: Lock-free and scalable multi-version software transactional memory (SMF, JPC), pp. 179–188.
PPoPP-2011-MurarasuWBBP #algorithm #data type #grid: Compact data structure and scalable algorithms for the sparse grid technique (AFM, JW, GB, DB, DP), pp. 25–34.
PPoPP-2011-WangLCWCZZ #named #parallel: COREMU: a scalable and portable parallel full-system emulator (ZW, RL, YC, XW, HC, WZ, BZ), pp. 213–222.
SOSP-2011-GlendenningBKA #consistency: Scalable consistency in Scatter (LG, IB, AK, TEA), pp. 15–28.
SOSP-2011-LloydFKA #consistency: Don’t settle for eventual: scalable causal consistency for wide-area storage with COPS (WL, MJF, MK, DGA), pp. 401–416.
CADE-2011-HoderV #reasoning: Sine Qua Non for Large Theory Reasoning (KH, AV), pp. 299–314.
CAV-2011-FrehseGDCRLRGDM #hybrid #named #verification: SpaceEx: Scalable Verification of Hybrid Systems (GF, CLG, AD, SC, RR, OL, RR, AG, TD, OM), pp. 379–395.
ISSTA-2011-McGillDS #analysis #concept #modelling: Scalable analysis of conceptual data models (MJM, LKD, REKS), pp. 56–66.
HT-2010-CorletteS #network #online #predict #social: Link prediction applied to an open large-scale online social network (DC, FMSI), pp. 135–140.
SIGMOD-2010-ArumugamDJPP: The DataPath system: a data-centric analytic processing engine for large data warehouses (SA, AD, CMJ, NP, LLP), pp. 519–530.
SIGMOD-2010-BiemBFRRVKM #realtime: IBM infosphere streams for scalable, real-time, intelligent transportation services (AB, EB, HF, AR, AR, OV, HNK, CM), pp. 1093–1104.
SIGMOD-2010-Brown #analysis #array #overview: Overview of sciDB: large scale array storage, processing and analysis (PGB), pp. 963–968.
SIGMOD-2010-ChenWHY #graph #in the cloud: Large graph processing in the cloud (RC, XW, BH, MY), pp. 1123–1126.
SIGMOD-2010-KhanYW #graph #mining #proximity #towards: Towards proximity pattern mining in large graphs (AK, XY, KLW), pp. 867–878.
SIGMOD-2010-MalewiczABDHLC #graph #named: Pregel: a system for large-scale graph processing (GM, MHA, AJCB, JCD, IH, NL, GC), pp. 135–146.
SIGMOD-2010-MoonCZ #architecture #evolution #optimisation #query #transaction: Scalable architecture and query optimization fortransaction-time DBs with evolving schemas (HJM, CC, CZ), pp. 207–218.
VLDB-2010-BaidRLDN #keyword #relational #towards: Toward Scalable Keyword Search over Relational Data (AB, IR, JL, AD, JFN), pp. 140–149.
VLDB-2010-BuHBE #clustering #named #performance: HaLoop: Efficient Iterative Data Processing on Large Clusters (YB, BH, MB, MDE), pp. 285–296.
VLDB-2010-ChengLYLLX #database #effectiveness: Explore or Exploit? Effective Strategies for Disambiguating Large Databases (RC, EL, XSY, MHL, XL, XX), pp. 815–825.
VLDB-2010-JohnsonPSAA #approach #named: Aether: A Scalable Approach to Logging (RJ, IP, RS, MA, AA), pp. 681–692.
VLDB-2010-KandhanTP #multi #named #pattern matching #performance: SigMatch: Fast and Scalable Multi-Pattern Matching (RK, NT, JMP), pp. 1173–1184.
VLDB-2010-MacropolS #clustering #graph: Scalable Discovery of Best Clusters on Large Graphs (KM, AKS), pp. 693–702.
VLDB-2010-MarnetteMP #dependence #functional: Scalable Data Exchange with Functional Dependencies (BM, GM, PP), pp. 105–116.
VLDB-2010-Matsudaira #3d #biology #dataset: High-End Biological Imaging Generates Very Large 3D+ and Dynamic Datasets (PM), p. 3.
VLDB-2010-ParameswaranGR #concept #dataset #towards #web: Towards The Web of Concepts: Extracting Concepts from Large Datasets (AGP, HGM, AR), pp. 566–577.
VLDB-2010-PestiLBIW #mobile #named #network #query: RoadTrack: Scaling Location Updates for Mobile Clients on Road Networks with Query Awareness (PP, LL, BB, AI, MW), pp. 1493–1504.
VLDB-2010-WickMM #database #graph #probability: Scalable Probabilistic Databases with Factor Graphs and MCMC (MLW, AM, GM), pp. 794–804.
VLDB-2010-YildirimCZ #graph #named #reachability: GRAIL: Scalable Reachability Index for Large Graphs (HY, VC, MJZ), pp. 276–284.
VLDB-2010-ZhangYJ #approximate #graph #named: SAPPER: Subgraph Indexing and Approximate Matching in Large Graphs (SZ, JY, WJ), pp. 1185–1194.
VLDB-2010-ZhaoH #graph #network #on the #optimisation #query: On Graph Query Optimization in Large Networks (PZ, JH), pp. 340–351.
ITiCSE-2010-BasawapatnaKR #design #education #game studies #using: Using scalable game design to teach computer science from middle school to graduate school (ARB, KHK, AR), pp. 224–228.
CSMR-2010-MalikJAHFH #analysis #automation #comparison #enterprise #performance #testing: Automatic Comparison of Load Tests to Support the Performance Analysis of Large Enterprise Systems (HM, ZMJ, BA, AEH, PF, GH), pp. 222–231.
CSMR-2010-MyersSS #debugging: Utilizing Debug Information to Compact Loops in Large Program Traces (DM, MADS, MS), pp. 41–50.
ICPC-2010-BarbourYZ #clone detection #detection: A Technique for Just-in-Time Clone Detection in Large Scale Systems (LB, HY, YZ), pp. 76–79.
ICSM-2010-CollardMR #adaptation #approach #lightweight: A lightweight transformational approach to support large scale adaptive changes (MLC, JIM, BPR), pp. 1–10.
ICSM-2010-HummelJHC #clone detection #detection #distributed #incremental: Index-based code clone detection: incremental, distributed, scalable (BH, EJ, LH, MC), pp. 1–9.
ICSM-2010-KeivanlooRSR #code search #framework #named #semantics #source code: SE-CodeSearch: A scalable Semantic Web-based source code search infrastructure (IK, LR, PS, JR), pp. 1–5.
WCRE-2010-SurianLL #collaboration #developer #mining #network: Mining Collaboration Patterns from a Large Developer Network (DS, DL, EPL), pp. 269–273.
CIAA-2010-AllauzenCM #automaton #kernel: Large-Scale Training of SVMs with Automata Kernels (CA, CC, MM), pp. 17–27.
CIAA-2010-ReidenbachS #polynomial #regular expression: A Polynomial Time Match Test for Large Classes of Extended Regular Expressions (DR, MLS), pp. 241–250.
ICALP-v1-2010-BansalKN #algorithm #scheduling: Better Scalable Algorithms for Broadcast Scheduling (NB, RK, VN), pp. 324–335.
SEFM-2010-MassinkLBH #algebra #analysis #approach #process: A Scalable Fluid Flow Process Algebraic Approach to Emergency Egress Analysis (MM, DL, AB, MDH), pp. 169–180.
SEFM-2010-Powell #analysis #behaviour #modelling: Behavior Engineering — A Scalable Modeling and Analysis Method (DP), pp. 31–40.
Haskell-2010-OSullivanT #haskell: Scalable i/o event handling for GHC (BO, JT), pp. 103–108.
VS-Games-2010-PanzoliPDSPPSF #experience #interactive: Levels of Interaction: A User-Guided Experience in Large-Scale Virtual Environments (DP, CEP, ID, SS, PP, AP, VS, SdF), pp. 87–90.
CHI-2010-AndrewsEN: Space to think: large high-resolution displays for sensemaking (CA, AE, CN), pp. 55–64.
CHI-2010-BaileyH #case study #idea #pipes and filters #what: What’s your idea?: a case study of a grassroots innovation pipeline within a large software company (BPB, EH), pp. 2065–2074.
CHI-2010-BiBB #visual notation: Effects of interior bezels of tiled-monitor large displays on visual search, tunnel steering, and target selection (XB, SHB, RB), pp. 65–74.
CHI-2010-FaridaniBRG #online: Opinion space: a scalable tool for browsing online comments (SF, EB, KR, KYG), pp. 1175–1184.
CHI-2010-FuGN #3d #multi #simulation: Multi-touch techniques for exploring large-scale 3D astrophysical simulations (CWF, WBG, JAN), pp. 2213–2222.
CHI-2010-NgaiCNCCLT #framework #smarttech: i*CATch: a scalable plug-n-play wearable computing framework for novices and children (GN, SCFC, VTYN, JCYC, SSSC, WWYL, JTPT), pp. 443–452.
CHI-2010-RoddenHF #experience #metric #user interface #web: Measuring the user experience on a large scale: user-centered metrics for web applications (KR, HH, XF), pp. 2395–2398.
CHI-2010-SongKLS #comparative #evaluation #visualisation: A comparative evaluation on tree visualization methods for hierarchical structures with large fan-outs (HS, BHK, BL, JS), pp. 223–232.
SOFTVIS-2010-AnslowMNTB #evaluation #using #visualisation: User evaluation of polymetric views using a large visualization wall (CA, SM, JN, EDT, RB), pp. 25–34.
SOFTVIS-2010-PauwH #named #visual notation: Zinsight: a visual and analytic environment for exploring large event traces (WDP, SH), pp. 143–152.
ICEIS-AIDSS-2010-VialeBGP #approach #modelling #process #sequence #using: Modeling Large Scale Manufacturing Process from Timed Data — Using the TOM4L Approach and Sequence Alignment Information for Modeling STMicroelectronics’ Production Processes (