BibSLEIGH — categorisation tag

categorisation

categorisation

Tag #categorisation

284 papers:

EDM-2019-HarrakBL #approach #hybrid #student #using: Categorizing students' questions using an ensemble hybrid approach (FH, FB, VL).
EDM-2019-NandaD #machine learning: Machine Learning Based Decision Support System for Categorizing MOOC Discussion Forum Posts (GN, KAD).
DiGRA-2019-Casas-RomaA #lens: Categorizing Morality Systems Through the Lens of Fallout (JCR, JAM).
CIKM-2019-ChenZY #e-commerce #fine-grained: Fine-Grained Product Categorization in E-commerce (HC, JZ, DY), pp. 2349–2352.
EDM-2018-GautamMGR #automation #chat #speech: Automated Speech Act Categorization of Chat Utterances in Virtual Internships (DG, NM, AG, VR).
ICSME-2018-LeClairEM #adaptation #classification: Adapting Neural Text Classification for Improved Software Categorization (AL, ZE, CM), pp. 461–472.
JCDL-2017-SuzukiF #documentation: Mathematical Document Categorization with Structure of Mathematical Expressions (TS, AF), pp. 119–128.
CIKM-2017-KrishnanSZ0 #concept #documentation: Unsupervised Concept Categorization and Extraction from Scientific Document Titles (AK, AS, SZ, JH0), pp. 1339–1348.
ECIR-2017-CohanFGR #safety: A Neural Attention Model for Categorizing Patient Safety Events (AC, AF, NG, RMR), pp. 720–726.
KDD-2017-GhoshDPYG #automation #ecosystem: Automated Categorization of Onion Sites for Analyzing the Darkweb Ecosystem (SG, AD, PAP, VY, AG), pp. 1793–1802.
CIKM-2016-BairiCR #clustering #documentation: Beyond Clustering: Sub-DAG Discovery for Categorising Documents (RBB, MJC, GR), pp. 801–810.
ICML-2016-ElhoseinyEBE #analysis #comparative #estimation #modelling #multi: A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation (ME, TEG, AB, AME), pp. 888–897.
ICML-2016-JohnsonZ #using: Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings (RJ, TZ0), pp. 526–534.
ICPR-2016-QinSLPT #detection #recognition #video: Video scene text frames categorization for text detection and recognition (LQ, PS, TL, UP0, CLT), pp. 3886–3891.
KDD-2016-HaPK #e-commerce #multi #network #scalability #using: Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks (JH, HP, JK), pp. 107–115.
HT-2015-GadirajuSFK #behaviour #comprehension: Breaking Bad: Understanding Behavior of Crowd Workers in Categorization Microtasks (UG, PS, BF, RK), pp. 33–38.
ITiCSE-2015-Rubio #analysis #automation #clustering #programming #student #using: Automatic Categorization of Introductory Programming Students using Cluster Analysis (MAR), p. 340.
ICPC-2015-Escobar-AvilaVH #bytecode #using: Unsupervised software categorization using bytecode (JEA, MLV, SH), pp. 229–239.
ICPC-2015-ThungLL #fault: Active semi-supervised defect categorization (FT, XBDL, DL), pp. 60–70.
CIKM-2015-WangWWX #approach: An Inference Approach to Basic Level of Categorization (ZW, HW, JRW, YX), pp. 653–662.
ECIR-2015-EsuliF: Distributional Correspondence Indexing for Cross-Language Text Categorization (AE, AMF), pp. 104–109.
SIGIR-2015-MalherbeCB #order #performance: Bringing Order to the Job Market: Efficient Job Offer Categorization in E-Recruitment (EM, MC, AB), pp. 1101–1104.
ICSE-v2-2015-Escobar-Avila #automation #bytecode #library #using: Automatic Categorization of Software Libraries Using Bytecode (JEA), pp. 784–786.
EDM-2014-SnowVRM #behaviour #game studies: Who's in Control?: Categorizing Nuanced Patterns of Behaviors within a Game-Based Intelligent Tutoring System (ELS, LKV, DGR, DSM), pp. 185–192.
ICPC-2014-ZhouXLTW #api #towards: Towards more accurate content categorization of API discussions (BZ, XX, DL, CT, XW), pp. 95–105.
ICSME-2014-BeyerP #android #development #stack overflow: A Manual Categorization of Android App Development Issues on Stack Overflow (SB, MP), pp. 531–535.
DUXU-DI-2014-BrandseT14a #challenge #design #game studies #video: Challenge Design and Categorization in Video Game Design (MB, KT), pp. 669–677.
ICPR-2014-HanselmannN #2d #fine-grained #visual notation: Fine-Grained Visual Categorization with 2D-Warping (HH, HN), pp. 608–613.
ICPR-2014-KramarevZWL #composition #image #representation #using: Object Categorization from Range Images Using a Hierarchical Compositional Representation (VK, SZ, JLW, AL), pp. 586–591.
ICPR-2014-XingY #image #parametricity #representation #scalability: Large Scale Image Categorization in Sparse Nonparametric Bayesian Representation (SX, NHCY), pp. 1365–1370.
KDD-2014-LiuZXJ0 #visualisation: Temporal skeletonization on sequential data: patterns, categorization, and visualization (CL, KZ, HX, GJ, QY), pp. 1336–1345.
REFSQ-2014-KnaussO #automation #natural language #requirements: (Semi-) automatic Categorization of Natural Language Requirements (EK, DO), pp. 39–54.
SAC-2014-CamposM #automation: Automatic categorization of questions from Q&A sites (ECC, MdAM), pp. 641–643.
ICDAR-2013-LeVTO #documentation: Improving Logo Spotting and Matching for Document Categorization by a Post-Filter Based on Homography (VPL, MV, DCT, JMO), pp. 270–274.
ICSM-2013-HouM #api: Content Categorization of API Discussions (DH, LM), pp. 60–69.
ICSM-2013-WangWYLLZ #mining #multi #repository: Mining Software Profile across Multiple Repositories for Hierarchical Categorization (TW, HW, GY, CXL, XL, PZ), pp. 240–249.
HCI-AMTE-2013-SteinhoffS: Priming Categorization in a Card Sort (CS, JDS), pp. 265–272.
VISSOFT-2013-ReissT #automation #behaviour #visualisation: Automatic categorization and visualization of lock behavior (SPR, AT), pp. 1–10.
CIKM-2013-ChanYTDZW #classification #community #kernel #topic: Community question topic categorization via hierarchical kernelized classification (WC, WY, JT, JD, XZ, WW), pp. 959–968.
ECIR-2013-PanchenkoBNF #detection #towards: Towards Detection of Child Sexual Abuse Media: Categorization of the Associated Filenames (AP, RB, HN, CF), pp. 776–779.
ECIR-2013-ZhangZBC #distance #encoding #visual notation: Encoding Local Binary Descriptors by Bag-of-Features with Hamming Distance for Visual Object Categorization (YZ, CZ, SB, LC), pp. 630–641.
ICML-c3-2013-HwangGS #semantics #visual notation: Analogy-preserving Semantic Embedding for Visual Object Categorization (SJH, KG, FS), pp. 639–647.
KEOD-2013-CalegariFP #comparative #ontology: Comparative Evaluations of a Hierarchical Categorization of Search Results based on a Granular View of Domain Ontologies (SC, FF, GP), pp. 361–366.
SIGIR-2013-Ruiz-RicoRTG #automation #multi #wiki: A portable multilingual medical directory by automatic categorization of Wikipedia articles (FRR, MCRS, DT, JLVG), pp. 1099–1100.
REFSQ-2013-Ott #automation #natural language #overview #scalability #specification: Automatic Requirement Categorization of Large Natural Language Specifications at Mercedes-Benz for Review Improvements (DO), pp. 50–64.
ICSE-2013-ZanettiSTS #case study #community #debugging #network #open source #social: Categorizing bugs with social networks: a case study on four open source software communities (MSZ, IS, CJT, FS), pp. 1032–1041.
DRR-2012-DaherGEBV #recognition: Unsupervised categorization method of graphemes on handwritten manuscripts: application to style recognition (HD, DG, VE, SB, NV).
JCDL-2012-ChenBHFC #crowdsourcing #education: Categorization of computing education resources with utilization of crowdsourcing (YC, PLBI, HwH, EAF, LNC), pp. 121–124.
WCRE-2012-ThungLJ #automation #fault: Automatic Defect Categorization (FT, DL, LJ), pp. 205–214.
CIKM-2012-ShenRS #e-commerce #scalability: Large-scale item categorization for e-commerce (DS, JDR, BS), pp. 595–604.
CIKM-2012-WangZLL #feature model: Feature selection based on term frequency and T-test for text categorization (DW, HZ, RL, WL), pp. 1482–1486.
ECIR-2012-ToramanC #performance: Squeezing the Ensemble Pruning: Faster and More Accurate Categorization for News Portals (CT, FC), pp. 508–511.
ICPR-2012-CaoL #fuzzy: Type-2 fuzzy labeled latent Dirichlet allocation for human action categorization (XQC, ZQL), pp. 1338–1341.
ICPR-2012-ChengYLL #kernel #nearest neighbour: A Pyramid Nearest Neighbor Search Kernel for object categorization (HC, RY, ZL, YL), pp. 2809–2812.
ICPR-2012-Laine-HernandezKKLKO #image #visual notation: Visual saliency and categorisation of abstract images (MLH, TK, JKK, LL, HK, PO), pp. 2752–2755.
ICPR-2012-LankinenKK #comparison #detection #visual notation: A comparison of local feature detectors and descriptors for visual object categorization by intra-class repeatability and matching (JL, VK, JKK), pp. 780–783.
ICPR-2012-LeVTO #documentation: Logo spotting for document categorization (VPL, MV, DCT, JMO), pp. 3484–3487.
ICPR-2012-NegrelPG #image #using: Using spatial pyramids with compacted VLAT for image categorization (RN, DP, PHG), pp. 2460–2463.
ICPR-2012-ParisHG #analysis #image #towards: Sparse coding for histograms of local binary patterns applied for image categorization: Toward a Bag-of-Scenes analysis (SP, XH, HG), pp. 2817–2820.
ICPR-2012-WangSCSW #representation: Object categorization via sparse representation of local features (JW, XS, RC, MFS, QW), pp. 3005–3008.
ICPR-2012-XiaTWLL #learning: Object categorization based on hierarchical learning (TX, YYT, YW, HL, LL), pp. 1419–1422.
ICPR-2012-XuTH #representation #video #web: A structure-based video representation for web video categorization (PX, DMJT, AH), pp. 433–436.
ICPR-2012-ZenRSRS #functional #semantics: Enhanced semantic descriptors for functional scene categorization (GZ, NR, JS, ER, NS), pp. 1985–1988.
ICPR-2012-ZhaoRCF #automation #clustering #keyword: Keyword clustering for automatic categorization (QZ, MR, HC, PF), pp. 2845–2848.
ICPR-2012-ZhengQ #semantics: Non-negative Sparse Semantic Coding for text categorization (WZ, YQ), pp. 409–412.
KDIR-2012-Timonen #documentation: Categorization of Very Short Documents (MT), pp. 5–16.
MLDM-2012-Moreira-MatiasMGB #classification #matrix #using: Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix (LMM, JMM, JG, PB), pp. 525–539.
SEKE-2012-XiePDMRTR #clustering #grid #power management: Progressive Clustering with Learned Seeds: An Event Categorization System for Power Grid (BX, RJP, HD, JYM, AR, AT, CR), pp. 100–105.
SIGIR-2012-KovesiGA #learning #multi #online #performance: Fast on-line learning for multilingual categorization (MK, CG, MRA), pp. 1071–1072.
RE-2012-SongH #contract #integration #requirements: Categorizing requirements for a contract-based system integration project (XS, BH), pp. 279–284.
ICDAR-2011-LouradourK #documentation #feature model #image #performance: Sample-Dependent Feature Selection for Faster Document Image Categorization (JL, CK), pp. 309–313.
ICSM-2011-McMillanVPG #maintenance: Categorizing software applications for maintenance (CM, MLV, DP, MG), pp. 343–352.
CHI-2011-MillerDO: Categorization costs for hierarchical keyboard commands (CSM, SD, RCO), pp. 2765–2768.
CHI-2011-YewSC #social #video: Knowing funny: genre perception and categorization in social video sharing (JY, DAS, EFC), pp. 297–306.
CAiSE-2011-MoserWHB #analysis #automation #empirical #requirements #semantics: Requirements Management with Semantic Technology: An Empirical Study on Automated Requirements Categorization and Conflict Analysis (TM, DW, MH, SB), pp. 3–17.
CIKM-2011-GoncalvesPS #difference #logic #ontology #owl: Categorising logical differences between OWL ontologies (RSG, BP, US), pp. 1541–1546.
CIKM-2011-LiWJNSH #information retrieval #social: Exploring categorization property of social annotations for information retrieval (PL, BW, WJ, JYN, ZS, BH), pp. 557–562.
CIKM-2011-NavigliFSLA #ambiguity #learning #modelling #semantics #word: Two birds with one stone: learning semantic models for text categorization and word sense disambiguation (RN, SF, AS, OLdL, EA), pp. 2317–2320.
CIKM-2011-ShenRSS #e-commerce: Item categorization in the e-commerce domain (DS, JDR, MS, NS), pp. 1921–1924.
CIKM-2011-WangHJT #image #learning #metric #multi #performance: Efficient lp-norm multiple feature metric learning for image categorization (SW, QH, SJ, QT), pp. 2077–2080.
ECIR-2011-AddisAV #algorithm #assessment #comparative: A Comparative Experimental Assessment of a Threshold Selection Algorithm in Hierarchical Text Categorization (AA, GA, EV), pp. 32–42.
ECIR-2011-KadarI #adaptation: Domain Adaptation for Text Categorization by Feature Labeling (CK, JI), pp. 424–435.
ECIR-2011-NeumayerMN #feature model: Combination of Feature Selection Methods for Text Categorisation (RN, RM, KN), pp. 763–766.
KDIR-2011-LachetarB #algorithm #metadata #using: Application of an Ant Colony Algorithm — For Song Categorising using Metadata (NL, HB), pp. 379–384.
SIGIR-2011-FilippovaH #metadata #video: Improved video categorization from text metadata and user comments (KF, KBH), pp. 835–842.
PLATEAU-2011-FreyGS #category theory #comprehension: Categorization of concerns: a categorical program comprehension model (TF, MG, GS), pp. 73–82.
SAC-2011-LargeronMG #feature model: Entropy based feature selection for text categorization (CL, CM, MG), pp. 924–928.
ICML-2010-CaniniSG #learning #modelling #process: Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process (KRC, MMS, TLG), pp. 151–158.
ICPR-2010-DagAKS #learning: Learning Affordances for Categorizing Objects and Their Properties (ND, IA, SK, ES), pp. 3089–3092.
ICPR-2010-GangehKD #random: Random Subspace Method in Text Categorization (MJG, MSK, RPWD), pp. 2049–2052.
ICPR-2010-HanCR #image #low level: Image Categorization by Learned Nonlinear Subspace of Combined Visual-Words and Low-Level Features (XHH, YWC, XR), pp. 3037–3040.
ICPR-2010-KinnunenKLK #self #visual notation: Unsupervised Visual Object Categorisation via Self-organisation (TK, JKK, LL, HK), pp. 440–443.
ICPR-2010-KinnunenKLLK #random #set #visual notation: Making Visual Object Categorization More Challenging: Randomized Caltech-101 Data Set (TK, JKK, LL, JL, HK), pp. 476–479.
ICPR-2010-LiP #effectiveness #image #multi #representation: Effective Multi-level Image Representation for Image Categorization (HL, YP), pp. 1048–1051.
ICPR-2010-SchryverR #set: The Rex Leopold II Model: Application of the Reduced Set Density Estimator to Human Categorization (MDS, BR), pp. 4356–4359.
ICPR-2010-ZhangWL #kernel #learning: Learning the Kernel Combination for Object Categorization (DZ, XW, BL), pp. 2929–2932.
KDD-2010-YangJJZT #classification: Unsupervised transfer classification: application to text categorization (TY, RJ, AKJ, YZ, WT), pp. 1159–1168.
KDD-2010-YeLCJ #automation #clustering #using: Automatic malware categorization using cluster ensemble (YY, TL, YC, QJ), pp. 95–104.
KDIR-2010-AddisAV: Assessing Progressive Filtering to Perform Hierarchical Text Categorization in Presence of Input Imbalance (AA, GA, EV), pp. 14–23.
KDIR-2010-BartikB #documentation #web: Two-phase Categorization of Web Documents (VB, RB), pp. 458–462.
KDIR-2010-MautnerM #comparison #documentation #network: Comparison of Neural Networks used for Processing and Categorization of Czech Written Documents (PM, RM), pp. 510–513.
SEKE-2010-BadashianAKDSM #multi #named: CFM: A File Manager with Multiple Categorization Support (ASB, HA, IK, MAD, MSS, MM), pp. 748–751.
SIGIR-2010-AminiGU #multi #self: Combining coregularization and consensus-based self-training for multilingual text categorization (MRA, CG, NU), pp. 475–482.
SIGIR-2010-MingWC #clustering #navigation #prototype #web: Prototype hierarchy based clustering for the categorization and navigation of web collections (ZM, KW, TSC), pp. 2–9.
SIGIR-2010-PhamMM #graph #image #modelling #visual notation: Spatial relationships in visual graph modeling for image categorization (TTP, PM, LM), pp. 729–730.
DRR-2009-SaldarriagaVM #online: On-line handwritten text categorization (SPS, CVG, EM), pp. 1–10.
ICDAR-2009-MansjurWJ #automation #classification #kernel #learning #topic #using: Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization (DSM, TSW, BHJ), pp. 1086–1090.
ICDAR-2009-RusinolL #approach #documentation: Logo Spotting by a Bag-of-words Approach for Document Categorization (MR, JL), pp. 111–115.
ICDAR-2009-XuSGN #classification #documentation: A Hierarchical Classification Model for Document Categorization (JWX, VS, VG, DN), pp. 486–490.
CSEET-2009-BurgeG: Dimensions for Categorizing Capstone Projects (JEB, GCG), pp. 166–173.
MSR-2009-TianRP #automation #using: Using Latent Dirichlet Allocation for automatic categorization of software (KT, MR, DP), pp. 163–166.
IDGD-2009-Howe #approach: Anthropomorphic Systems: An Approach for Categorization (KH), pp. 173–179.
ICEIS-J-2009-Prokhorov #self: A Self-learning System for Object Categorization (DVP), pp. 265–274.
ICEIS-SAIC-2009-GandhiT #email #ontology #using: Ontology-based Email Categorization and Task Inference using a Lexicon-enhanced Ontology (PG, RT), pp. 102–107.
CIKM-2009-CaoCCJZ #modelling #retrieval #using: The use of categorization information in language models for question retrieval (XC, GC, BC, CSJ, CZ), pp. 265–274.
CIKM-2009-GuoZGZS #multi #semantics: Product feature categorization with multilevel latent semantic association (HG, HZ, ZG, XZ, ZS), pp. 1087–1096.
KDIR-2009-LamB #invariant #multi #using: Invariant Categorisation of Polygonal Objects using Multi-resolution Signatures (RL, JMHdB), pp. 168–173.
MLDM-2009-JingWYX #feature model #framework: A General Framework of Feature Selection for Text Categorization (HJ, BW, YY, YX), pp. 647–662.
RecSys-2009-TylerZCZ #recommendation: Ordering innovators and laggards for product categorization and recommendation (SKT, SZ, YC, YZ), pp. 29–36.
DRR-2008-FumeI #analysis #clustering #documentation #modelling #semantics: Model-based document categorization employing semantic pattern analysis and local structure clustering (KF, YI), p. 68150.
CIKM-2008-HuangMG #framework #multi: Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization (JH, OM, CLG), pp. 83–92.
CIKM-2008-Lee #documentation #set #topic: Incorporating topical support documents into a small training set in text categorization (KSL), pp. 1511–1512.
CIKM-2008-LiuBP: Categorizing blogger’s interests based on short snippets of blog posts (JL, LB, BP), pp. 1525–1526.
CIKM-2008-Moschitti #kernel #relational #semantics #syntax: Kernel methods, syntax and semantics for relational text categorization (AM), pp. 253–262.
CIKM-2008-XuJHLK: Semi-supervised text categorization by active search (ZX, RJ, KH, MRL, IK), pp. 1517–1518.
ICPR-2008-ChengWL #clustering #sequence: Dual clustering for categorization of action sequences (JC, LW, CL), pp. 1–4.
ICPR-2008-HuSM #clustering #using: Categorization using semi-supervised clustering (JH, MS, AM), pp. 1–4.
ICPR-2008-KhelifiZAM #image: Unsupervised categorization of heterogeneous text images based on fractals (BK, NZ, AMA, RM), pp. 1–4.
ICPR-2008-Salgian #3d #recognition: Combining local descriptors for 3D object recognition and categorization (AS), pp. 1–4.
ICPR-2008-YamaguchiM #classification #image #probability #topic: Image categorization by a classifier based on probabilistic topic model (TY, MM), pp. 1–4.
ICPR-2008-YangYZC: Layered object categorization (LY, JY, NZ, HC), pp. 1–4.
KDD-2008-BhattacharyaGJ #documentation #identification: Structured entity identification and document categorization: two tasks with one joint model (IB, SG, SJ), pp. 25–33.
KDD-2008-GantiKV #documentation #scalability: Entity categorization over large document collections (VG, ACK, RV), pp. 274–282.
KDD-2008-IfrimBW #n-gram #performance: Fast logistic regression for text categorization with variable-length n-grams (GI, GHB, GW), pp. 354–362.
KDD-2008-ZhangZS #concept #data type #mining: Categorizing and mining concept drifting data streams (PZ, XZ, YS), pp. 812–820.
SIGIR-2008-GkanogiannisK #algorithm: An algorithm for text categorization (AG, TK), pp. 869–870.
SIGIR-2008-JiangA #analysis: Exploiting subjectivity analysis in blogs to improve political leaning categorization (MJ, SA), pp. 725–726.
SIGIR-2008-YuZXG #design #learning #using: trNon-greedy active learning for text categorization using convex ansductive experimental design (KY, SZ, WX, YG), pp. 635–642.
SAC-2008-TanWC #performance #ranking: An efficient feature ranking measure for text categorization (ST, YW, XC), pp. 407–413.
ECSA-2007-CorreiaMHE #architecture #migration: Architecture Migration Driven by Code Categorization (RC, CMPM, RH, MER), pp. 115–122.
DocEng-2007-LiSGR #adaptation #classification: Adapting associative classification to text categorization (BL, NS, EVG, AR), pp. 205–208.
DocEng-2007-ZeridaLC: Exclusion-inclusion based text categorization of biomedical articles (NZ, NL, BC), pp. 202–204.
ECDL-2007-DiederichB #algorithm #automation #semantics: The Semantic GrowBag Algorithm: Automatically Deriving Categorization Systems (JD, WTB), pp. 1–13.
ICDAR-2007-LuLT #identification: Identification of Latin-Based Languages through Character Stroke Categorization (SJL, LL, CLT), pp. 352–356.
JCDL-2007-AbbasiC #analysis #communication #using #visualisation: Categorization and analysis of text in computer mediated communication archives using visualization (AA, HC), pp. 11–18.
DiGRA-2007-Kromand: Avatar Categorization (DK).
ICEIS-SAIC-2007-RezguiN #composition #ontology #semantics #using: Ontology-Based Dynamic Service Composition Using Semantic Relatedness and Categorization Techniques (YR, SN), pp. 113–120.
ECIR-2007-DavyL #learning #query: Active Learning with History-Based Query Selection for Text Categorisation (MD, SL), pp. 695–698.
KDD-2007-ShehataKK #concept: A concept-based model for enhancing text categorization (SS, FK, MK), pp. 629–637.
MLDM-2007-PracnerTRI #attribute grammar #using: Categorizing Evolved CoreWar Warriors Using EM and Attribute Evaluation (DP, NT, MR, MI), pp. 681–693.
SIGIR-2007-LiQLY #clustering #detection: Detecting, categorizing and clustering entity mentions in Chinese text (WL, DQ, QL, CY), pp. 647–654.
SIGIR-2007-TanW: Combining error-correcting output codes and model-refinement for text categorization (ST, YW), pp. 699–700.
SIGIR-2007-ThomasT: Text categorization for streams (DLT, WJT), p. 907.
SAC-2007-Cardoso-CachopoO #classification #using: Semi-supervised single-label text categorization using centroid-based classifiers (ACC, ALO), pp. 844–851.
SAC-2007-JinLSB #automation #naive bayes #web: Automatic web pages categorization with ReliefF and Hidden Naive Bayes (XJ, RL, XS, RB), pp. 617–621.
SAC-2007-RulloCP #learning: Learning rules with negation for text categorization (PR, CC, VLP), pp. 409–416.
JCDL-2006-KulesKS #category theory #using #web: Categorizing web search results into meaningful and stable categories using fast-feature techniques (BK, JK, BS), pp. 210–219.
JCDL-2006-LuMWG #automation #documentation: Automatic categorization of figures in scientific documents (XL, PM, JZW, CLG), pp. 129–138.
CIKM-2006-QianXWC #adaptation: Adapting association patterns for text categorization: weaknesses and enhancements (TQ, HX, YW, EC), pp. 782–783.
ICML-2006-RendersGGPC #multi: Categorization in multiple category systems (JMR, ÉG, CG, FP, GC), pp. 745–752.
ICPR-v1-2006-Marin-JimenezB #empirical #multi: Empirical Study of Multi-scale Filter Banks for Object Categorization (MJMJ, NPdlB), pp. 578–581.
ICPR-v2-2006-MeleMS #image #probability #using: Image Categorization Using Local Probabilistic Descriptors (KM, JM, DS), pp. 336–340.
ICPR-v2-2006-MitaKH #approach #performance #probability #robust: A Probabilistic Approach to Fast and Robust Template Matching and its Application to Object Categorization (TM, TK, OH), pp. 597–601.
KDD-2006-KonigB: Reducing the human overhead in text categorization (ACK, EB), pp. 598–603.
KDD-2006-ZhangPD #graph #linear #modelling #predict: Linear prediction models with graph regularization for web-page categorization (TZ, AP, BD), pp. 821–826.
SAC-2006-BaralisG #word: Associative text categorization exploiting negated words (EB, PG), pp. 530–535.
SAC-2006-BergerMD #email #set: Exploiting partial decision trees for feature subset selection in e-mail categorization (HB, DM, MD), pp. 1105–1109.
SAC-2006-CombarroMRD #feature model #metric: Angular measures for feature selection in text categorization (EFC, EM, JR, ID), pp. 826–830.
SAC-2006-MontanesCRD #feature model #linear #metric: Finding optimal linear measures for feature selection in text categorization (EM, EFC, JR, ID), pp. 861–862.
SAT-2006-KullmannLM #agile #kernel #normalisation #satisfiability: Categorisation of Clauses in Conjunctive Normal Forms: Minimally Unsatisfiable Sub-clause-sets and the Lean Kernel (OK, IL, JMS), pp. 22–35.
ICDAR-2005-AradhyeMH #analysis #email #image #performance: Image Analysis for Efficient Categorization of Image-based Spam E-mail (HBA, GKM, JAH), pp. 914–918.
ICDAR-2005-EglinBRE #biology #tool support: Biological inspired Tools for Patrimonial Handwriting Denoising and Categorization (VE, SB, CR, HE), pp. 59–63.
ICDAR-2005-RangoniB #documentation #logic #recognition: Data categorization for a context return applied to logical document structure recognition (YR, AB), pp. 297–301.
CIKM-2005-RamakrishnanPD #framework: A structure-sensitive framework for text categorization (GR, DP, BD), pp. 337–338.
CIKM-2005-TanCGWX #approach #novel #refinement: A novel refinement approach for text categorization (ST, XC, MG, BW, HX), pp. 469–476.
SIGIR-2005-SekiM #ontology: An application of text categorization methods to gene ontology annotation (KS, JM), pp. 138–145.
SIGIR-2005-YanLZYCCFM #feature model #named #orthogonal: OCFS: optimal orthogonal centroid feature selection for text categorization (JY, NL, BZ, SY, ZC, QC, WF, WYM), pp. 122–129.
SIGIR-2005-ZhouG #corpus #geometry #on the: On redundancy of training corpus for text categorization: a perspective of geometry (SZ, JG), pp. 671–672.
HT-2004-RoyJK #automation #web: Automatic categorization of web sites based on source types (SR, SJ, RK), pp. 38–39.
SIGMOD-2004-ChakrabartiCH #automation #query: Automatic Categorization of Query Results (KC, SC, SwH), pp. 755–766.
CIKM-2004-CaiH #documentation: Hierarchical document categorization with support vector machines (LC, TH), pp. 78–87.
CIKM-2004-SanoE #analysis #information management: Circumstance-based categorization analysis of knowledge management systems for the japanese market (MS, DAE), pp. 507–514.
CIKM-2004-WangL #feature model: Feature selection with conditional mutual information maximin in text categorization (GW, FHL), pp. 342–349.
ECIR-2004-Nunzio #documentation: A Bidimensional View of Documents for Text Categorisation (GMDN), pp. 112–126.
ECIR-2004-XueS #reduction: Eliminating High-Degree Biased Character Bigrams for Dimensionality Reduction in Chinese Text Categorization (XD, MS), pp. 197–208.
ICML-2004-GabrilovichM #feature model #using: Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5 (EG, SM).
ICML-2004-GaoWLC #approach #learning #multi #robust: A MFoM learning approach to robust multiclass multi-label text categorization (SG, WW, CHL, TSC).
ICPR-v2-2004-CaputoWN #kernel: Object Categorization via Local Kernels (BC, CW, MEN), pp. 132–135.
ICPR-v2-2004-TamSS #documentation: Applying the Conjugate Gradient Method for Text Document Categorization (VT, RS, AS), pp. 558–561.
ICPR-v2-2004-Vinciarelli: Noisy Text Categorization (AV), pp. 554–557.
SEKE-2004-CubraniM #automation #debugging #using: Automatic bug triage using text categorization (DC, GCM), pp. 92–97.
SIGIR-2004-DavidovGM #dataset #generative: Parameterized generation of labeled datasets for text categorization based on a hierarchical directory (DD, EG, SM), pp. 250–257.
SIGIR-2004-HunnisettT: Context-based methods for text categorisation (DSH, WJT), pp. 578–579.
SIGIR-2004-TsengT #verification: Verifying a Chinese collection for text categorization (YHT, WJT), pp. 556–557.
RE-2004-HaleyNST #learning #requirements: The Conundrum of Categorising Requirements: Managing Requirements for Learning on the Move (DTH, BN, HCS, JT), pp. 309–314.
SAC-2004-RahalP #approach #using: An optimized approach for KNN text categorization using P-trees (IR, WP), pp. 613–617.
DRR-2003-HuB #documentation #image #web: Categorizing images in web documents (JH, AB), pp. 136–143.
DRR-2003-TaghvaC #question #rule-based: Do Thesauri enhance rule-based categorization for OCR text? (KT, JSC), pp. 111–119.
ECDL-2003-BelKV: Cross-Lingual Text Categorization (NB, CHAK, MV), pp. 126–139.
CIKM-2003-GravanoHL #locality #query #web: Categorizing web queries according to geographical locality (LG, VH, RL), pp. 325–333.
CIKM-2003-LiZO #analysis #multi #performance: Efficient multi-way text categorization via generalized discriminant analysis (TL, SZ, MO), pp. 317–324.
CIKM-2003-ShanksW #linear: Index construction for linear categorisation (VRS, HEW), pp. 334–341.
ECIR-2003-Bigi #distance #using: Using Kullback-Leibler Distance for Text Categorization (BB), pp. 305–319.
ECIR-2003-DejunM: Chinese Text Categorization Based on the Binary Weighting Model with Non-binary Smoothing (XD, MS), pp. 408–419.
ECIR-2003-NardielloSS: Discretizing Continuous Attributes in AdaBoost for Text Categorization (PN, FS, AS), pp. 320–334.
ICML-2003-LiY #analysis #classification: A Loss Function Analysis for Classification Methods in Text Categorization (FL, YY), pp. 472–479.
ICML-2003-ZhangJYH #approximate #scalability: Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization (JZ, RJ, YY, AGH), pp. 888–895.
MLDM-2003-DenoyerG #documentation #generative #xml: A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization (LD, PG), pp. 328–342.
SIGIR-2003-AhmadVO #evaluation #summary: Summary evaluation and text categorization (KA, BV, PCFdO), pp. 443–444.
SIGIR-2003-CaiH #automation #concept: Text categorization by boosting automatically extracted concepts (LC, TH), pp. 182–189.
SIGIR-2003-GaoWLC #approach #learning: A maximal figure-of-merit learning approach to text categorization (SG, WW, CHL, TSC), pp. 174–181.
SIGIR-2003-KhmelevT #verification: A repetition based measure for verification of text collections and for text categorization (DVK, WJT), pp. 104–110.
SIGIR-2003-TsengJ: Document-self expansion for text categorization (YHT, DWJ), pp. 399–400.
SIGIR-2003-YangZK #analysis #classification #scalability: A scalability analysis of classifiers in text categorization (YY, JZ, BK), pp. 96–103.
SIGIR-2003-ZhangY #classification #linear #robust: Robustness of regularized linear classification methods in text categorization (JZ, YY), pp. 190–197.
SAC-2003-AvanciniLMSZ: Expanding Domain-Specific Lexicons by Term Categorization (HA, AL, BM, FS, RZ), pp. 793–797.
SAC-2003-DeboleS #automation: Supervised Term Weighting for Automated Text Categorization (FD, FS), pp. 784–788.
SAC-2003-GiorgettiS #automation #multi #overview: Multiclass Text Categorization for Automated Survey Coding (DG, FS), pp. 798–802.
DocEng-2002-WibowoW #feature model: Simple and accurate feature selection for hierarchical categorisation (WW, HEW), pp. 111–118.
CHI-2002-HeerC #web: Separating the swarm: categorization methods for user sessions on the web (JH, EHhC), pp. 243–250.
CIKM-2002-ChenLS #data access: Categorizing information objects from user access patterns (MC, ASL, JPS), pp. 365–372.
CIKM-2002-WibowoW #fault #web: Strategies for minimising errors in hierarchical web categorisation (WW, HEW), pp. 525–531.
ECIR-2002-GaussierGPC #clustering #documentation: A Hierarchical Model for Clustering and Categorising Documents (ÉG, CG, KP, FC), pp. 229–247.
ECIR-2002-KongoviGD #empirical #using: Text Categorization: An Experiment Using Phrases (MK, JCG, VD), pp. 213–228.
ECIR-2002-PetersK #reduction: Uncertainty-Based Noise Reduction and Term Selection in Text Categorization (CMEEP, CHAK), pp. 248–267.
ICML-2002-Ghani #multi: Combining Labeled and Unlabeled Data for MultiClass Text Categorization (RG), pp. 187–194.
ICPR-v1-2002-SauxB #clustering #database #image #robust: Unsupervised Robust Clustering for Image Database Categorization (BLS, NB), pp. 259–262.
ICPR-v4-2002-TamSS #case study #comparative #documentation #effectiveness #statistics: A Comparative Study of Centroid-Based, Neighborhood-Based and Statistical Approaches for Effective Document Categorization (VT, AS, RS), pp. 235–238.
KDD-2002-WuPLL #approach #refinement: A refinement approach to handling model misfit in text categorization (HW, THP, BL, XL), pp. 207–216.
SIGIR-2002-DamerauZWI: Experiments in high-dimensional text categorization (FD, TZ, SMW, NI), pp. 357–358.
SIGIR-2002-Kawatani #difference #documentation #set #topic: Topic difference factor extraction between two document sets and its application to text categorization (TK), pp. 137–144.
SIGIR-2002-LavelliMS: Building thematic lexical resources by term categorization (AL, BM, FS), pp. 415–416.
SAC-2002-Hidalgo #email: Evaluating cost-sensitive Unsolicited Bulk Email categorization (JMGH), pp. 615–620.
JCDL-2001-FrasconiSV #approach #documentation #hybrid #multi #naive bayes: Text categorization for multi-page documents: a hybrid naive Bayes HMM approach (PF, GS, AV), pp. 11–20.
JCDL-2001-IpeirotisGS: PERSIVAL demo: categorizing hidden-web resources (PGI, LG, MS), p. 454.
ICEIS-v1-2001-SoonthornphisajK #algorithm #problem #set #using #web: The Effects of Differnet Feature Sets on the Web Page Categorization Problem Using the Iterative Cross-Training Algorithm (NS, BK), pp. 404–410.
CIKM-2001-Al-KofahiTVTJ #classification #multi: Combining Multiple Classifiers for Text Categorization (KAK, AT, AV, TT, PJ), pp. 97–104.
CIKM-2001-KolczPK #feature model #summary: Summarization as Feature Selection for Text Categorization (AK, VP, JKK), pp. 365–370.
ICML-2001-GhaniSY #hypermedia #using: Hypertext Categorization using Hyperlink Patterns and Meta Data (RG, SS, YY), pp. 178–185.
ICML-2001-JoachimsCS #hypermedia #kernel: Composite Kernels for Hypertext Categorisation (TJ, NC, JST), pp. 250–257.
SIGIR-2001-BekkermanEWT #clustering #on the: On Feature Distributional Clustering for Text Categorization (RB, REY, YW, NT), pp. 146–153.
SIGIR-2001-LamL #approach: A Meta-Learning Approach for Text Categorization (WL, KYL), pp. 303–309.
SIGIR-2001-Mock #email #framework: An Experimental Framework for Email Categorization and Management (KJM), pp. 392–393.
SIGIR-2001-Yang #case study: A Study on Thresholding Strategies for Text Categorization (YY), pp. 137–145.
OOPSLA-2001-LanzaD #visualisation: A Categorization of Classes based on the Visualization of their Internal Structure: The Class Blueprint (ML, SD), pp. 300–311.
SAC-2001-LoiaL #automation #clustering #documentation #fuzzy #web: Genetic-based fuzzy clustering for automatic Web document categorization (VL, PL), pp. 477–478.
DL-2000-MooneyR #learning #recommendation #using: Content-based book recommending using learning for text categorization (RJM, LR), pp. 195–204.
ECDL-2000-GalavottiSS #automation #feature model #using: Experiments on the Use of Feature Selection and Negative Evidence in Automated Text Categorization (LG, FS, MS), pp. 59–68.
CHI-2000-ChenD #automation #order #web: Bringing order to the Web: automatically categorizing search results (HC, STD), pp. 145–152.
CIKM-2000-HanK #algorithm #documentation #performance #reduction #retrieval: Fast Supervised Dimensionality Reduction Algorithm with Applications to Document Categorization & Retrieval (EHH, GK), pp. 12–19.
CIKM-2000-SebastianiSV #algorithm: An Improved Boosting Algorithm and its Application to Text Categorization (FS, AS, NV), pp. 78–85.
ICPR-v4-2000-TruongVD #automation #identification #video: Automatic Genre Identification for Content-Based Video Categorization (BTT, SV, CD), pp. 4230–4233.
SIGIR-2000-OhML #hypermedia #incremental #using: A practical hypertext categorization method using links and incrementally available class information (HJO, SHM, MHL), pp. 264–271.
SIGIR-2000-TakasuA #classification #comparison: Variance based classifier comparison in text categorization (AT, KA), pp. 316–317.
SIGIR-2000-YangAPL: Improving text categorization methods for event tracking (YY, TA, TP, CWL), pp. 65–72.
ECDL-1999-SableH #image: Text-Based Approaches for the Categorization of Images (CLS, VH), pp. 19–38.
HCI-EI-1999-BussemakersHL #design #interface: The effect of auditory accessory stimuli on picture categorisation; implications for interface design (MPB, AdH, PMCL), pp. 436–440.
CIKM-1999-GovertLF #approach #documentation #probability #web: A Probabilistic Description-Oriented Approach for Categorizing Web Documents (NG, ML, NF), pp. 475–482.
KDD-1999-AggarwalGY #clustering #on the: On the Merits of Building Categorization Systems by Supervised Clustering (CCA, SCG, PSY), pp. 352–356.
SIGIR-1999-YangL: A Re-Examination of Text Categorization Methods (YY, XL), pp. 42–49.
GCSE-1999-Goebl #automation #overview #programming: A Survey and a Categorization Scheme of Automatic Programming Systems (WG), pp. 1–15.
SIGMOD-1998-ChakrabartiDI #hypermedia #using: Enhanced Hypertext Categorization Using Hyperlinks (SC, BD, PI), pp. 307–318.
CIKM-1998-DumaisPHS #algorithm #induction #learning: Inductive Learning Algorithms and Representations for Text Categorization (STD, JCP, DH, MS), pp. 148–155.
CIKM-1998-LimaLR #approach #automation #documentation: A Hierarchical Approach to the Automatic Categorization of Medical Documents (LRSdL, AHFL, BARN), pp. 132–139.
ICPR-1998-Yamasaki #automation #clustering #online #recognition: Automatic allograph categorization based on stroke clustering for online handwritten Japanese character recognition (KY), pp. 1150–1152.
SIGIR-1998-LamH #automation #set #using: Using a Generalized Instance Set for Automatic Text Categorization (WL, CYH), pp. 81–89.
SIGIR-1998-Larkey #automation #using: Automatic Essay Grading Using Text Categorization Techniques (LSL), pp. 90–95.
ICDAR-1997-ONeil #approach #incremental #representation #retrieval: An Incremental Approach to Text Representation, Categorization, and Retrieval (PO), pp. 714–717.
ICDAR-1997-Soffer #image #using: Image Categorization Using Texture Features (AS), pp. 233–237.
ICDAR-1997-VuurpijlS #clustering: Finding structure in diversity: a hierarchical clustering method for the categorization of allographs in handwriting (LV, LS), p. 387–?.
ICML-1997-Joachims #algorithm #analysis #probability: A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization (TJ), pp. 143–151.
ICML-1997-YangP #case study #comparative #feature model: A Comparative Study on Feature Selection in Text Categorization (YY, JOP), pp. 412–420.
SIGIR-1997-ChenHSS #semantics: Semantic Search and Semantic Categorization (HC, AH, RRS, BRS), p. 335.
SIGIR-1997-NgGL #case study #feature model #learning #usability: Feature Selection, Perceptron Learning, and a Usability Case Study for Text Categorization (HTN, WBG, KLL), pp. 67–73.
ICML-1996-SahamiHS #model-to-text #multi: Applying the Multiple Cause Mixture Model to Text Categorization (MS, MAH, ES), pp. 435–443.
SIGIR-1996-CohenS #learning: Context-sensitive Learning Methods for Text Categorization (WWC, YS), pp. 307–315.
SIGIR-1996-LarkeyC #classification: Combining Classifiers in Text Categorization (LSL, WBC), pp. 289–297.
ICML-1995-Cohen95a #learning #relational: Text Categorization and Relational Learning (WWC), pp. 124–132.
SIGIR-1995-IwayamaT #clustering #comparison: Cluster-Based Text Categorization: A Comparison of Category Search Strategies (MI, TT), pp. 273–280.
SIGIR-1995-Yang #approach #reduction #statistics: Noise Reduction in a Statistical Approach to Text Categorization (YY), pp. 256–263.
SIGIR-1994-ApteDW #automation #independence #learning #modelling #towards: Towards Language Independent Automated Learning of Text Categorisation Models (CA, FD, SMW), pp. 23–30.
SIGIR-1994-Yang #effectiveness #learning #network #performance #retrieval: Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval (YY), pp. 13–22.
SIGIR-1992-Lewis #clustering #evaluation: An Evaluation of Phrasal and Clustered Representations on a Text Categorization Task (DDL), pp. 37–50.
ML-1990-AndersonM #analysis: A Rational Analysis of Categorization (JRA, MM), pp. 76–84.