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William W. Cohen Vis

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*2009
114EEAmr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy: Structured correspondence topic models for mining captioned figures in biological literature. KDD 2009: 39-48
113EEAndrew Arnold, William W. Cohen: Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection. WASA 2009: 541-550
2008
112 William W. Cohen, Andrew McCallum, Sam T. Roweis: Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 ACM 2008
111EEEinat Minkov, Ramnath Balasubramanyan, William W. Cohen: Activity-centred Search in Email. CEAS 2008
110EEAndrew Arnold, William W. Cohen: Intra-document structural frequency features for semi-supervised domain adaptation. CIKM 2008: 1291-1300
109EEVitor R. Carvalho, Jonathan L. Elsas, William W. Cohen, Jaime G. Carbonell: Suppressing outliers in pairwise preference ranking. CIKM 2008: 1487-1488
108EEVitor R. Carvalho, William W. Cohen: Ranking Users for Intelligent Message Addressing. ECIR 2008: 321-333
107EEEinat Minkov, William W. Cohen: Learning Graph Walk Based Similarity Measures for Parsed Text. EMNLP 2008: 907-916
106EERichard C. Wang, Nico Schlaefer, William W. Cohen, Eric Nyberg: Automatic Set Expansion for List Question Answering. EMNLP 2008: 947-954
105EERichard C. Wang, William W. Cohen: Iterative Set Expansion of Named Entities Using the Web. ICDM 2008: 1091-1096
104EENoboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger: Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study. Intelligent Tutoring Systems 2008: 111-121
103EERamesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen: Joint latent topic models for text and citations. KDD 2008: 542-550
2007
102 Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger: Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation. AIED 2007: 467-476
101EEVitor R. Carvalho, Wen Wu, William W. Cohen: Discovering Leadership Roles in Email Workgroups. CEAS 2007
100EERichard C. Wang, William W. Cohen: Language-Independent Set Expansion of Named Entities Using the Web. ICDM 2007: 342-350
99EERamesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing: Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. ICDM Workshops 2007: 343-348
98EERamesh Nallapati, William W. Cohen, John D. Lafferty: Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. ICDM Workshops 2007: 349-354
97EEAndrew Arnold, Ramesh Nallapati, William W. Cohen: A Comparative Study of Methods for Transductive Transfer Learning. ICDM Workshops 2007: 77-82
96EEJuchang Hua, Orhan N. Ayasli, William W. Cohen, Robert F. Murphy: Identifying Fluorescence Microscope Images in Online Journal Articles Using Both Image and Text Features. ISBI 2007: 1224-1227
95EEZhenzhen Kou, William W. Cohen, Robert F. Murphy: A Stacked Graphical Model for Associating Sub-Images with Sub-Captions. Pacific Symposium on Biocomputing 2007: 257-268
94EEVitor R. Carvalho, William W. Cohen: Preventing Information Leaks in Email. SDM 2007
93EEZhenzhen Kou, William W. Cohen: Stacked Graphical Models for Efficient Inference in Markov Random Fields. SDM 2007
92EENoboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger: Evaluating a Simulated Student Using Real Students Data for Training and Testing. User Modeling 2007: 107-116
91EESarah Zelikovitz, William W. Cohen, Haym Hirsh: Extending WHIRL with background knowledge for improved text classification. Inf. Retr. 10(1): 35-67 (2007)
2006
90 William W. Cohen, Andrew Moore: Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006 ACM 2006
89EEEinat Minkov, William W. Cohen: An Email and Meeting Assistant Using Graph Walks. CEAS 2006
88EEEinat Minkov, Richard C. Wang, Anthony Tomasic, William W. Cohen: NER Systems that Suit User's Preferences: Adjusting the Recall-Precision Trade-off for Entity Extraction. HLT-NAACL 2006
87EEVitor R. Carvalho, William W. Cohen: Single-pass online learning: performance, voting schemes and online feature selection. KDD 2006: 548-553
86EEEinat Minkov, William W. Cohen, Andrew Y. Ng: Contextual search and name disambiguation in email using graphs. SIGIR 2006: 27-34
2005
85 Carolyn Penstein Rosé, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan: Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. AIED 2005: 571-578
84EEEinat Minkov, Richard C. Wang, William W. Cohen: Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text. HLT/EMNLP 2005
83EEWilliam W. Cohen, Einat Minkov, Anthony Tomasic: Learning to Understand Web Site Update Requests. IJCAI 2005: 1028-1033
82EEWilliam W. Cohen, Vitor Rocha de Carvalho: Stacked Sequential Learning. IJCAI 2005: 671-676
81EEZhenzhen Kou, William W. Cohen, Robert F. Murphy: High-recall protein entity recognition using a dictionary. ISMB (Supplement of Bioinformatics) 2005: 266-273
80EEVitor Rocha de Carvalho, William W. Cohen: On the collective classification of email "speech acts". SIGIR 2005: 345-352
2004
79EEYifen Huang, Dinesh Govindaraju, Tom M. Mitchell, Vitor Rocha de Carvalho, William W. Cohen: Inferring Ongoing Activities of Workstation Users by Clustering Email. CEAS 2004
78EEVitor Rocha de Carvalho, William W. Cohen: Learning to Extract Signature and Reply Lines from Email. CEAS 2004
77EEWilliam W. Cohen, Sunita Sarawagi: Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods. KDD 2004: 89-98
76EESunita Sarawagi, William W. Cohen: Semi-Markov Conditional Random Fields for Information Extraction. NIPS 2004
75EEPradeep D. Ravikumar, William W. Cohen: A Hierarchical Graphical Model for Record Linkage. UAI 2004: 454-461
2003
74EEZhenzhen Kou, William W. Cohen, Robert F. Murphy: Extracting information from text and images for location proteomics. BIOKDD 2003: 2-9
73 William W. Cohen: Infrastructure Components for Large-Scale Information Extraction Systems. IAAI 2003: 71-78
72EEWilliam W. Cohen, Pradeep D. Ravikumar, Stephen E. Fienberg: A Comparison of String Distance Metrics for Name-Matching Tasks. IIWeb 2003: 73-78
71EEWilliam W. Cohen, Richard C. Wang, Robert F. Murphy: Understanding captions in biomedical publications. KDD 2003: 499-504
70EEChengXiang Zhai, William W. Cohen, John D. Lafferty: Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. SIGIR 2003: 10-17
69EEWilliam W. Cohen: Learning and Discovering Structure in Web Pages. IEEE Data Eng. Bull. 26(3): 3-10 (2003)
68EEMikhail Bilenko, Raymond J. Mooney, William W. Cohen, Pradeep D. Ravikumar, Stephen E. Fienberg: Adaptive Name Matching in Information Integration. IEEE Intelligent Systems 18(5): 16-23 (2003)
2002
67EEWilliam W. Cohen, Jacob Richman: Learning to match and cluster large high-dimensional data sets for data integration. KDD 2002: 475-480
66EEWilliam W. Cohen: Improving a Page Classifier with Anchor Extraction and Link Analysis. NIPS 2002: 1481-1488
65EEWilliam W. Cohen, Matthew Hurst, Lee S. Jensen: A flexible learning system for wrapping tables and lists in HTML documents. WWW 2002: 232-241
2001
64 William W. Cohen: Issues in Extracting Information from the Web. IWPT 2001
63EEChumki Basu, Haym Hirsh, William W. Cohen, Craig G. Nevill-Manning: Technical Paper Recommendation: A Study in Combining Multiple Information Sources. J. Artif. Intell. Res. (JAIR) 14: 231-252 (2001)
2000
62EEWilliam W. Cohen: Extracting Information from the Web for Concept Learning and Collaborative Filtering. ALT 2000: 1-12
61 William W. Cohen: Automatically Extracting Features for Concept Learning from the Web. ICML 2000: 159-166
60EEWilliam W. Cohen, Henry A. Kautz, David A. McAllester: Hardening soft information sources. KDD 2000: 255-259
59EEWilliam W. Cohen: Data integration using similarity joins and a word-based information representation language. ACM Trans. Inf. Syst. 18(3): 288-321 (2000)
58EEWilliam W. Cohen: WHIRL: A word-based information representation language. Artif. Intell. 118(1-2): 163-196 (2000)
57EEWilliam W. Cohen, Wei Fan: Web-collaborative filtering: recommending music by crawling the Web. Computer Networks 33(1-6): 685-698 (2000)
56EEWilliam W. Cohen, Andrew McCallum, Dallan Quass: Learning to Understand the Web. IEEE Data Eng. Bull. 23(3): 17-24 (2000)
55 Jaime G. Carbonell, Yiming Yang, William W. Cohen: Special Issue of Machine Learning on Information Retrieval - Introduction. Machine Learning 39(2/3): 99-101 (2000)
1999
54 William W. Cohen, Yoram Singer: A Simple, Fast, and Effictive Rule Learner. AAAI/IAAI 1999: 335-342
53 William W. Cohen: Recognizing Structure in Web Pages using Similarity Queries. AAAI/IAAI 1999: 59-66
52EEWilliam W. Cohen: A Demonstration of WHIRL (demonstration abstract). SIGIR 1999: 327
51EEWilliam W. Cohen: Some Practical Observations on Integration of Web Information. WebDB (Informal Proceedings) 1999: 55-60
50EEWilliam W. Cohen, Yoram Singer: Context-Sensitive Learning Methods for Text Categorization. ACM Trans. Inf. Syst. 17(2): 141-173 (1999)
49 William W. Cohen: Reasoning about Textual Similarity in a Web-Based Information Access System. Autonomous Agents and Multi-Agent Systems 2(1): 65-86 (1999)
48EEWilliam W. Cohen, Wei Fan: Learning Page-Independent Heuristics for Extracting Data from Web Pages. Computer Networks 31(11-16): 1641-1652 (1999)
47EEWilliam W. Cohen, Premkumar T. Devanbu: Automatically Exploring Hypotheses About Fault Prediction: A Comparative Study of Inductive Logic Programming Methods. International Journal of Software Engineering and Knowledge Engineering 9(5): 519-546 (1999)
46EEWilliam W. Cohen, Robert E. Schapire, Yoram Singer: Learning to Order Things. J. Artif. Intell. Res. (JAIR) 10: 243-270 (1999)
1998
45 Chumki Basu, Haym Hirsh, William W. Cohen: Recommendation as Classification: Using Social and Content-Based Information in Recommendation. AAAI/IAAI 1998: 714-720
44EEWilliam W. Cohen: A Web-Based Information System that Reasons with Structured Collections of Text. Agents 1998: 400-407
43 William W. Cohen, Haym Hirsh: Joins that Generalize: Text Classification Using WHIRL. KDD 1998: 169-173
42EEWilliam W. Cohen: Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. SIGMOD Conference 1998: 201-212
41EEWilliam W. Cohen: Providing Database-like Access to the Web Using Queries Based on Textual Similarity. SIGMOD Conference 1998: 558-560
40 Narendar Yalamanchilli, William W. Cohen: Communication Performance of Java-Based Parallel Virtual Machines. Concurrency - Practice and Experience 10(11-13): 1189-1196 (1998)
39 William W. Cohen: Hardness Results for Learning First-Order Representations and Programming by Demonstration. Machine Learning 30(1): 57-87 (1998)
1997
38 William W. Cohen, Daniel Kudenko: Transferring and Retraining Learned Information Filters. AAAI/IAAI 1997: 583-590
37 William W. Cohen, Premkumar T. Devanbu: A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction. ICML 1997: 66-74
36 William W. Cohen, Robert E. Schapire, Yoram Singer: Learning to Order Things. NIPS 1997
1996
35 William W. Cohen: Learning Trees and Rules with Set-Valued Features. AAAI/IAAI, Vol. 1 1996: 709-716
34EEWilliam W. Cohen: The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract). COLT 1996: 29-40
33EEWilliam W. Cohen, Yoram Singer: Context-sensitive Learning Methods for Text Categorization. SIGIR 1996: 307-315
32EEWilliam W. Cohen: Adaptive mapping and navigation by teams of simple robots. Robotics and Autonomous Systems 18(4): 411-434 (1996)
1995
31 William W. Cohen, Haym Hirsh: Corrigendum for ``Learnability of Description Logics''. COLT 1995: 463
30 William W. Cohen: Fast Effective Rule Induction. ICML 1995: 115-123
29 William W. Cohen: Text Categorization and Relational Learning. ICML 1995: 124-132
28EEWilliam W. Cohen: Pac-Learning Non-Recursive Prolog Clauses. Artif. Intell. 79(1): 1-38 (1995)
27 William W. Cohen: Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors. Autom. Softw. Eng. 2(2): 107-129 (1995)
26EEWilliam W. Cohen: Pac-Learning Recursive Logic Programs: Efficient Algorithms CoRR cs.AI/9505104: (1995)
25EEWilliam W. Cohen: Pac-learning Recursive Logic Programs: Negative Results CoRR cs.AI/9505105: (1995)
24 William W. Cohen: Pac-Learning Recursive Logic Programs: Efficient Algorithms. J. Artif. Intell. Res. (JAIR) 2: 501-539 (1995)
23 William W. Cohen: Pac-learning Recursive Logic Programs: Negative Results. J. Artif. Intell. Res. (JAIR) 2: 541-573 (1995)
22 William W. Cohen, C. David Page Jr.: Polynomial Learnability and Inductive Logic Programming: Methods and Results. New Generation Comput. 13(3&4): 369-409 (1995)
1994
21 William W. Cohen: Recovering Software Specifications with Inductive Logic Programming. AAAI 1994: 142-148
20 William W. Cohen: Pac-Learning Nondeterminate Clauses. AAAI 1994: 676-681
19 William W. Cohen, Haym Hirsh: Learning the Classic Description Logic: Theoretical and Experimental Results. KR 1994: 121-133
18 William W. Cohen: Grammatically Biased Learning: Learning Logic Programs Using an Explicit Antecedent Description Language. Artif. Intell. 68(2): 303-366 (1994)
17 William W. Cohen: Incremental Abductive EBL. Machine Learning 15(1): 5-24 (1994)
16 William W. Cohen, Haym Hirsh: The Learnability of Description Logics with Equality Constraints. Machine Learning 17(2-3): 169-199 (1994)
1993
15 William W. Cohen: Cryptographic Limitations on Learning One-Clause Logic Programs. AAAI 1993: 80-85
14 William W. Cohen: Pac-Learning a Restricted Class of Recursive Logic Programs. AAAI 1993: 86-92
13 William W. Cohen: Efficient Pruning Methods for Separate-and-Conquer Rule Learning Systems. IJCAI 1993: 988-994
12 William W. Cohen: Creating a Memory of Casual Relationships (Book Review). Machine Learning 10: 179-183 (1993)
1992
11 William W. Cohen, Alexander Borgida, Haym Hirsh: Computing Least Common Subsumers in Description Logics. AAAI 1992: 754-760
10 William W. Cohen: Desiderata for Generalization-to-N Algorithms. AII 1992: 140-150
9EEWilliam W. Cohen, Haym Hirsh: Learnability of Description Logics. COLT 1992: 116-127
8 William W. Cohen: Using Distribution-Free Learning Theory to Analyze Solution Path Caching Mechan isms. Computational Intelligence 8: 336-375 (1992)
7 William W. Cohen: Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem. Machine Learning 8: 167-219 (1992)
1991
6 William W. Cohen: The Generality of Overgenerality. ML 1991: 490-494
1990
5 William W. Cohen: Learning from Textbook Knowledge: A Case Study. AAAI 1990: 743-748
4 William W. Cohen: An Analysis of Representation Shift in Concept Learning. ML 1990: 104-112
3 William W. Cohen: Learning Approximate Control Rules of High Utility. ML 1990: 268-276
1988
2 William W. Cohen: Generalizing Number and Learning from Multiple Examples in Explanation Based Learning. ML 1988: 256-269
1986
1EEKaren A. Bartlett, William W. Cohen, Aart J. de Geus, Gary D. Hachtel: Synthesis and Optimization of Multilevel Logic under Timing Constraints. IEEE Trans. on CAD of Integrated Circuits and Systems 5(4): 582-596 (1986)

Coauthor Index

1Amr Ahmed [99] [103] [114]
2Andrew Arnold [97] [110] [113]
3Orhan N. Ayasli [96]
4Ramnath Balasubramanyan [111]
5Karen A. Bartlett [1]
6Chumki Basu [45] [63]
7Mikhail Bilenko (Misha Bilenko) [68]
8Alexander Borgida [11]
9Jaime G. Carbonell [55] [109]
10Vitor R. Carvalho (Vitor Rocha de Carvalho) [78] [79] [80] [82] [87] [94] [101] [108] [109]
11Premkumar T. Devanbu [37] [47]
12Pinar Donmez [85]
13Jonathan L. Elsas [109]
14Wei Fan [48] [57]
15Stephen E. Fienberg [68] [72]
16Aart J. de Geus [1]
17Dinesh Govindaraju [79]
18Gahgene Gweon [85]
19Gary D. Hachtel [1]
20Neil T. Heffernan [85]
21Haym Hirsh [9] [11] [16] [19] [31] [43] [45] [63] [91]
22Juchang Hua [96]
23Yifen Huang [79]
24Matthew Hurst [65]
25Lee S. Jensen [65]
26Brian Junker [85]
27Henry A. Kautz [60]
28Andrea Knight [85]
29Kenneth R. Koedinger [85] [92] [102] [104]
30Zhenzhen Kou [74] [81] [93] [95]
31Daniel Kudenko [38]
32Gustavo Lacerda [92] [102] [104]
33John D. Lafferty [70] [98]
34Noboru Matsuda [92] [102] [104]
35David A. McAllester [60]
36Andrew McCallum [56] [112]
37Einat Minkov [83] [84] [86] [88] [89] [107] [111]
38Tom M. Mitchell [79]
39Raymond J. Mooney [68]
40Andrew Moore [90]
41Robert F. Murphy [71] [74] [81] [95] [96] [114]
42Ramesh Nallapati [97] [98] [99] [103]
43Craig G. Nevill-Manning [63]
44Andrew Y. Ng [86]
45Eric Nyberg [106]
46C. David Page Jr. (David Page) [22]
47Dallan Quass [56]
48Pradeep D. Ravikumar [68] [72] [75]
49Jacob Richman [67]
50Carolyn Penstein Rosé [85]
51Sam T. Roweis [112]
52Sunita Sarawagi [76] [77]
53Robert E. Schapire [36] [46]
54Nico Schlaefer [106]
55Jonathan Sewall [92] [102] [104]
56Yoram Singer [33] [36] [46] [50] [54]
57Anthony Tomasic [83] [88]
58Richard C. Wang [71] [84] [88] [100] [105] [106]
59Wen Wu [101]
60Eric P. Xing [99] [103] [114]
61Narendar Yalamanchilli [40]
62Yiming Yang [55]
63Sarah Zelikovitz [91]
64ChengXiang Zhai (Chengxiang Zhai) [70]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)