William W. Cohen

	2012
152		Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger, Victoria Keiser, Rohan Raizada, Evelyn Yarzebinski, Shayna P. Watson, Gabriel Stylianides: Studying the Effect of Tutor Learning Using a Teachable Agent that Asks the Student Tutor for Explanations. DIGITEL 2012: 25-32
151		Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan: WebSets: extracting sets of entities from the web using unsupervised information extraction. WSDM 2012: 243-252
	2011
150		Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger: Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor. AIED 2011: 213-221
149		Noboru Matsuda, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger: Learning by Teaching SimStudent - Interactive Event. AIED 2011: 623
148		Nan Li, William W. Cohen, Kenneth R. Koedinger, Noboru Matsuda: A Machine Learning Approach for Automatic Student Model Discovery. EDM 2011: 31-40
147		Ni Lao, Tom M. Mitchell, William W. Cohen: Random Walk Inference and Learning in A Large Scale Knowledge Base. EMNLP 2011: 529-539
146		Ramnath Balasubramanyan, William W. Cohen: Block-LDA: Jointly modeling entity-annotated text and entity-entity links. SDM 2011: 450-461
145		William W. Cohen, Robert E. Schapire, Yoram Singer: Learning to Order Things CoRR abs/1105.5464: (2011)
144		Chumki Basu, William W. Cohen, Haym Hirsh, Craig G. Nevill-Manning: Technical Paper Recommendation: A Study in Combining Multiple Information Sources CoRR abs/1106.0248: (2011)
	2010
143		William W. Cohen, Samuel Gosling: Proceedings of the Fourth International Conference on Weblogs and Social Media, ICWSM 2010, Washington, DC, USA, May 23-26, 2010 The AAAI Press 2010
142		Nan Li, William W. Cohen, Kenneth R. Koedinger: Integrating Transfer Learning in Synthetic Student. AAAI 2010
141		Frank Lin, William W. Cohen: Semi-Supervised Classification of Network Data Using Very Few Labels. ASONAM 2010: 192-199
140		Frank Lin, William W. Cohen: A Very Fast Method for Clustering Big Text Datasets. ECAI 2010: 303-308
139		Frank Lin, William W. Cohen: Power Iteration Clustering. ICML 2010: 655-662
138		Noboru Matsuda, Victoria Keiser, Rohan Raizada, Arthur Tu, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger: Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students. Intelligent Tutoring Systems (1) 2010: 317-326
137		Nan Li, William W. Cohen, Kenneth R. Koedinger: A Computational Model of Accelerated Future Learning through Feature Recognition. Intelligent Tutoring Systems (2) 2010: 368-370
136		Noboru Matsuda, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger: Learning by Teaching SimStudent. Intelligent Tutoring Systems (2) 2010: 449
135		Philip Stutz, Abraham Bernstein, William W. Cohen: Signal/Collect: Graph Algorithms for the (Semantic) Web. International Semantic Web Conference (1) 2010: 764-780
134		Ni Lao, William W. Cohen: Fast query execution for retrieval models based on path-constrained random walks. KDD 2010: 881-888
133		Ni Lao, Jun Zhu, Xinwang Liu, Yandong Liu, William W. Cohen: Efficient Relational Learning with Hidden Variable Detection. NIPS 2010: 1234-1242
132		Bhavana Bharat Dalvi, Jamie Callan, William W. Cohen: Entity List Completion Using Set Expansion Techniques. TREC 2010
131		Einat Minkov, William W. Cohen: Improving graph-walk-based similarity with reranking: Case studies for personal information management. ACM Trans. Inf. Syst. 29(1): 4 (2010)
130		Amr Ahmed, Andrew Arnold, Luís Pedro Coelho, Joshua Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy: Structured literature image finder: Parsing text and figures in biomedical literature. J. Web Sem. 8(2-3): 151-154 (2010)
129		Ni Lao, William W. Cohen: Relational retrieval using a combination of path-constrained random walks. Machine Learning 81(1): 53-67 (2010)
	2009
128		Richard C. Wang, William W. Cohen: Automatic Set Instance Extraction using the Web. ACL/AFNLP 2009: 441-449
127		Richard C. Wang, William W. Cohen: Character-level Analysis of Semi-Structured Documents for Set Expansion. EMNLP 2009: 1503-1512
126		Tae Yano, William W. Cohen, Noah A. Smith: Predicting Response to Political Blog Posts with Topic Models. HLT-NAACL 2009: 477-485
125		Ramnath Balasubramanyan, Frank Lin, William W. Cohen, Matthew Hurst, Noah A. Smith: From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences. ICWSM 2009
124		Andrew Arnold, William W. Cohen: Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection. ICWSM 2009
123		Amr 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
122		Andrew Arnold, William W. Cohen: Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection. WASA 2009: 541-550
	2008
121		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
120		Andrew Arnold, Ramesh Nallapati, William W. Cohen: Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. ACL 2008: 245-253
119		Einat Minkov, Ramnath Balasubramanyan, William W. Cohen: Activity-centred Search in Email. CEAS 2008
118		Andrew Arnold, William W. Cohen: Intra-document structural frequency features for semi-supervised domain adaptation. CIKM 2008: 1291-1300
117		Vitor R. Carvalho, Jonathan L. Elsas, William W. Cohen, Jaime G. Carbonell: Suppressing outliers in pairwise preference ranking. CIKM 2008: 1487-1488
116		Vitor R. Carvalho, William W. Cohen: Ranking Users for Intelligent Message Addressing. ECIR 2008: 321-333
115		Einat Minkov, William W. Cohen: Learning Graph Walk Based Similarity Measures for Parsed Text. EMNLP 2008: 907-916
114		Richard C. Wang, Nico Schlaefer, William W. Cohen, Eric Nyberg: Automatic Set Expansion for List Question Answering. EMNLP 2008: 947-954
113		Richard C. Wang, William W. Cohen: Iterative Set Expansion of Named Entities Using the Web. ICDM 2008: 1091-1096
112		Ramesh Nallapati, William W. Cohen: Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs. ICWSM 2008
111		Yi-Chia Wang, Mahesh Joshi, William W. Cohen, Carolyn Penstein Rosé: Recovering Implicit Thread Structure in Newsgroup Style Conversations. ICWSM 2008
110		Frank Lin, William W. Cohen: The MultiRank Bootstrap Algorithm: Self-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification. ICWSM 2008
109		Noboru 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
108		Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen: Joint latent topic models for text and citations. KDD 2008: 542-550
	2007
107		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
106		Vitor R. Carvalho, Wen Wu, William W. Cohen: Discovering Leadership Roles in Email Workgroups. CEAS 2007
105		Richard C. Wang, William W. Cohen: Language-Independent Set Expansion of Named Entities Using the Web. ICDM 2007: 342-350
104		Ramesh 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
103		Ramesh 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
102		Andrew Arnold, Ramesh Nallapati, William W. Cohen: A Comparative Study of Methods for Transductive Transfer Learning. ICDM Workshops 2007: 77-82
101		William W. Cohen: Machine Learning for Information Management: Some Promising Directions. ICMLA 2007
100		Juchang 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
99		Zhenzhen 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
98		Vitor R. Carvalho, William W. Cohen: Preventing Information Leaks in Email. SDM 2007
97		Zhenzhen Kou, William W. Cohen: Stacked Graphical Models for Efficient Inference in Markov Random Fields. SDM 2007
96		Noboru 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
95		Sarah Zelikovitz, William W. Cohen, Haym Hirsh: Extending WHIRL with background knowledge for improved text classification. Inf. Retr. 10(1): 35-67 (2007)
	2006
94		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
93		Einat Minkov, William W. Cohen: An Email and Meeting Assistant Using Graph Walks. CEAS 2006
92		Einat 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
91		Vitor R. Carvalho, William W. Cohen: Single-pass online learning: performance, voting schemes and online feature selection. KDD 2006: 548-553
90		Einat Minkov, William W. Cohen, Andrew Y. Ng: Contextual search and name disambiguation in email using graphs. SIGIR 2006: 27-34
89		William W. Cohen, Einat Minkov: A graph-search framework for associating gene identifiers with documents. BMC Bioinformatics 7: 440 (2006)
	2005
88		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
87		Einat Minkov, Richard C. Wang, William W. Cohen: Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text. HLT/EMNLP 2005
86		William W. Cohen, Einat Minkov, Anthony Tomasic: Learning to Understand Web Site Update Requests. IJCAI 2005: 1028-1033
85		William W. Cohen, Vitor Rocha de Carvalho: Stacked Sequential Learning. IJCAI 2005: 671-676
84		Zhenzhen Kou, William W. Cohen, Robert F. Murphy: High-recall protein entity recognition using a dictionary. ISMB (Supplement of Bioinformatics) 2005: 266-273
83		Vitor Rocha de Carvalho, William W. Cohen: On the collective classification of email "speech acts". SIGIR 2005: 345-352
	2004
82		Yifen Huang, Dinesh Govindaraju, Tom M. Mitchell, Vitor Rocha de Carvalho, William W. Cohen: Inferring Ongoing Activities of Workstation Users by Clustering Email. CEAS 2004
81		Vitor Rocha de Carvalho, William W. Cohen: Learning to Extract Signature and Reply Lines from Email. CEAS 2004
80		William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell: Learning to Classify Email into ``Speech Acts''. EMNLP 2004: 309-316
79		William W. Cohen, Sunita Sarawagi: Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods. KDD 2004: 89-98
78		Sunita Sarawagi, William W. Cohen: Semi-Markov Conditional Random Fields for Information Extraction. NIPS 2004
77		Pradeep D. Ravikumar, William W. Cohen: A Hierarchical Graphical Model for Record Linkage. UAI 2004: 454-461
	2003
76		Zhenzhen Kou, William W. Cohen, Robert F. Murphy: Extracting information from text and images for location proteomics. BIOKDD 2003: 2-9
75		William W. Cohen: Infrastructure Components for Large-Scale Information Extraction Systems. IAAI 2003: 71-78
74		William W. Cohen, Pradeep D. Ravikumar, Stephen E. Fienberg: A Comparison of String Distance Metrics for Name-Matching Tasks. IIWeb 2003: 73-78
73		William W. Cohen, Richard C. Wang, Robert F. Murphy: Understanding captions in biomedical publications. KDD 2003: 499-504
72		ChengXiang Zhai, William W. Cohen, John D. Lafferty: Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. SIGIR 2003: 10-17
71		William W. Cohen: Learning and Discovering Structure in Web Pages. IEEE Data Eng. Bull. 26(3): 3-10 (2003)
70		Mikhail 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
69		William W. Cohen, Jacob Richman: Learning to match and cluster large high-dimensional data sets for data integration. KDD 2002: 475-480
68		William W. Cohen: Improving a Page Classifier with Anchor Extraction and Link Analysis. NIPS 2002: 1481-1488
67		William W. Cohen, Matthew Hurst, Lee S. Jensen: A flexible learning system for wrapping tables and lists in HTML documents. WWW 2002: 232-241
	2001
66		William W. Cohen: Issues in Extracting Information from the Web. IWPT 2001
65		Chumki 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
64		William W. Cohen: Extracting Information from the Web for Concept Learning and Collaborative Filtering. ALT 2000: 1-12
63		William W. Cohen: Automatically Extracting Features for Concept Learning from the Web. ICML 2000: 159-166
62		William W. Cohen, Henry A. Kautz, David A. McAllester: Hardening soft information sources. KDD 2000: 255-259
61		William W. Cohen: Data integration using similarity joins and a word-based information representation language. ACM Trans. Inf. Syst. 18(3): 288-321 (2000)
60		William W. Cohen: WHIRL: A word-based information representation language. Artif. Intell. 118(1-2): 163-196 (2000)
59		William W. Cohen, Wei Fan: Web-collaborative filtering: recommending music by crawling the Web. Computer Networks 33(1-6): 685-698 (2000)
58		William W. Cohen, Andrew McCallum, Dallan Quass: Learning to Understand the Web. IEEE Data Eng. Bull. 23(3): 17-24 (2000)
57		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
56		William W. Cohen, Yoram Singer: A Simple, Fast, and Effictive Rule Learner. AAAI/IAAI 1999: 335-342
55		William W. Cohen: Recognizing Structure in Web Pages using Similarity Queries. AAAI/IAAI 1999: 59-66
54		William W. Cohen: A Demonstration of WHIRL (demonstration abstract). SIGIR 1999: 327
53		William W. Cohen: Some Practical Observations on Integration of Web Information. WebDB (Informal Proceedings) 1999: 55-60
52		William W. Cohen, Yoram Singer: Context-Sensitive Learning Methods for Text Categorization. ACM Trans. Inf. Syst. 17(2): 141-173 (1999)
51		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)
50		William W. Cohen, Wei Fan: Learning Page-Independent Heuristics for Extracting Data from Web Pages. Computer Networks 31(11-16): 1641-1652 (1999)
49		William 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)
48		William W. Cohen, Robert E. Schapire, Yoram Singer: Learning to Order Things. J. Artif. Intell. Res. (JAIR) 10: 243-270 (1999)
	1998
47		Chumki Basu, Haym Hirsh, William W. Cohen: Recommendation as Classification: Using Social and Content-Based Information in Recommendation. AAAI/IAAI 1998: 714-720
46		William W. Cohen: A Web-Based Information System that Reasons with Structured Collections of Text. Agents 1998: 400-407
45		William W. Cohen, Haym Hirsh: Joins that Generalize: Text Classification Using WHIRL. KDD 1998: 169-173
44		William W. Cohen: Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. SIGMOD Conference 1998: 201-212
43		William W. Cohen: Providing Database-like Access to the Web Using Queries Based on Textual Similarity. SIGMOD Conference 1998: 558-560
42		Narendar Yalamanchilli, William W. Cohen: Communication Performance of Java-Based Parallel Virtual Machines. Concurrency - Practice and Experience 10(11-13): 1189-1196 (1998)
41		William W. Cohen: Hardness Results for Learning First-Order Representations and Programming by Demonstration. Machine Learning 30(1): 57-87 (1998)
	1997
40		William W. Cohen, Daniel Kudenko: Transferring and Retraining Learned Information Filters. AAAI/IAAI 1997: 583-590
39		William W. Cohen, Premkumar T. Devanbu: A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction. ICML 1997: 66-74
38		William W. Cohen, Robert E. Schapire, Yoram Singer: Learning to Order Things. NIPS 1997
	1996
37		William W. Cohen: Learning Trees and Rules with Set-Valued Features. AAAI/IAAI, Vol. 1 1996: 709-716
36		William W. Cohen: The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract). COLT 1996: 29-40
35		William W. Cohen, Yoram Singer: Context-sensitive Learning Methods for Text Categorization. SIGIR 1996: 307-315
34		William W. Cohen: Adaptive mapping and navigation by teams of simple robots. Robotics and Autonomous Systems 18(4): 411-434 (1996)
	1995
33		William W. Cohen, Haym Hirsh: Corrigendum for ``Learnability of Description Logics''. COLT 1995: 463
32		William W. Cohen: Fast Effective Rule Induction. ICML 1995: 115-123
31		William W. Cohen: Text Categorization and Relational Learning. ICML 1995: 124-132
30		William W. Cohen: Pac-Learning Non-Recursive Prolog Clauses. Artif. Intell. 79(1): 1-38 (1995)
29		William W. Cohen: Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors. Autom. Softw. Eng. 2(2): 107-129 (1995)
28		William W. Cohen: Pac-Learning Recursive Logic Programs: Efficient Algorithms CoRR cs.AI/9505104: (1995)
27		William W. Cohen: Pac-learning Recursive Logic Programs: Negative Results CoRR cs.AI/9505105: (1995)
26		William W. Cohen: Pac-Learning Recursive Logic Programs: Efficient Algorithms. J. Artif. Intell. Res. (JAIR) 2: 501-539 (1995)
25		William W. Cohen: Pac-learning Recursive Logic Programs: Negative Results. J. Artif. Intell. Res. (JAIR) 2: 541-573 (1995)
24		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
23		William W. Cohen, Haym Hirsh: Machine Learning, Proceedings of the Eleventh International Conference, Rutgers University, New Brunswick, NJ, USA, July 10-13, 1994 Morgan Kaufmann 1994
22		William W. Cohen: Recovering Software Specifications with Inductive Logic Programming. AAAI 1994: 142-148
21		William W. Cohen: Pac-Learning Nondeterminate Clauses. AAAI 1994: 676-681
20		William W. Cohen, Haym Hirsh: Learning the Classic Description Logic: Theoretical and Experimental Results. KR 1994: 121-133
19		William W. Cohen: Grammatically Biased Learning: Learning Logic Programs Using an Explicit Antecedent Description Language. Artif. Intell. 68(2): 303-366 (1994)
18		William W. Cohen: Incremental Abductive EBL. Machine Learning 15(1): 5-24 (1994)
17		William W. Cohen, Haym Hirsh: The Learnability of Description Logics with Equality Constraints. Machine Learning 17(2-3): 169-199 (1994)
16		L. Thorne McCarty, William W. Cohen: The Case for Explicit Exceptions. Meth. of Logic in CS 1(1): 19-50 (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
9		William 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
1		Karen 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

1	Amr Ahmed (Amr Ahmed Momen, Amr Abdel Momen)	[104] [108] [123] [130]
2	Andrew Arnold	[102] [118] [120] [122] [124] [130]
3	Orhan N. Ayasli	[100]
4	Ramnath Balasubramanyan	[119] [125] [146]
5	Karen A. Bartlett	[1]
6	Chumki Basu	[47] [65] [144]
7	Abraham Bernstein	[135]
8	Mikhail Bilenko (Misha Bilenko)	[70]
9	Alexander Borgida	[11]
10	James P. Callan (Jamie Callan)	[132] [151]
11	Jaime G. Carbonell	[57] [117]
12	Vitor R. Carvalho (Vitor Rocha de Carvalho)	[80] [81] [82] [83] [85] [91] [98] [106] [116] [117]
13	Luís Pedro Coelho	[130]
14	Bhavana Bharat Dalvi	[132] [151]
15	Premkumar T. Devanbu	[39] [49]
16	Pinar Donmez	[88]
17	Jonathan L. Elsas	[117]
18	Wei Fan	[50] [59]
19	Stephen E. Fienberg	[70] [74]
20	Aart J. de Geus	[1]
21	Samuel Gosling	[143]
22	Dinesh Govindaraju	[82]
23	Gahgene Gweon	[88]
24	Gary D. Hachtel	[1]
25	Neil T. Heffernan	[88]
26	Haym Hirsh	[9] [11] [17] [20] [23] [33] [45] [47] [65] [95] [144]
27	Juchang Hua	[100]
28	Yifen Huang	[82]
29	Matthew Hurst	[67] [125]
30	Lee S. Jensen	[67]
31	Mahesh Joshi	[111]
32	Brian Junker	[88]
33	Joshua Kangas	[130]
34	Henry A. Kautz	[62]
35	Victoria Keiser	[136] [138] [149] [150] [152]
36	Andrea Knight	[88]
37	Kenneth R. Koedinger	[88] [96] [107] [109] [136] [137] [138] [142] [148] [149] [150] [152]
38	Zhenzhen Kou	[76] [84] [97] [99]
39	Daniel Kudenko	[40]
40	Gustavo Lacerda	[96] [107] [109]
41	John D. Lafferty	[72] [103]
42	Ni Lao	[129] [133] [134] [147]
43	Nan Li	[137] [142] [148]
44	Frank Lin	[110] [125] [139] [140] [141]
45	Xinwang Liu	[133]
46	Yandong Liu	[133]
47	Noboru Matsuda	[96] [107] [109] [136] [138] [148] [149] [150] [152]
48	David A. McAllester	[62]
49	Andrew McCallum	[58] [121]
50	L. Thorne McCarty	[16]
51	Einat Minkov	[86] [87] [89] [90] [92] [93] [115] [119] [131]
52	Tom M. Mitchell	[80] [82] [147]
53	Raymond J. Mooney	[70]
54	Andrew Moore	[94]
55	Robert F. Murphy	[73] [76] [84] [99] [100] [123] [130]
56	Ramesh Nallapati	[102] [103] [104] [108] [112] [120]
57	Craig G. Nevill-Manning	[65] [144]
58	Andrew Y. Ng	[90]
59	Eric Nyberg	[114]
60	C. David Page Jr. (David Page)	[24]
61	Dallan Quass	[58]
62	Rohan Raizada	[136] [138] [149] [150] [152]
63	Pradeep D. Ravikumar	[70] [74] [77]
64	Jacob Richman	[69]
65	Carolyn Penstein Rosé	[88] [111]
66	Sam T. Roweis	[121]
67	Sunita Sarawagi	[78] [79]
68	Robert E. Schapire	[38] [48] [145]
69	Nico Schlaefer	[114]
70	Jonathan Sewall	[96] [107] [109]
71	Abdul-Saboor Sheikh	[130]
72	Yoram Singer	[35] [38] [48] [52] [56] [145]
73	Noah A. Smith	[125] [126]
74	Philip Stutz	[135]
75	Gabriel Stylianides	[136] [138] [149] [150] [152]
76	Anthony Tomasic	[86] [92]
77	Arthur Tu	[138]
78	Richard C. Wang	[73] [87] [92] [105] [113] [114] [127] [128]
79	Yi-Chia Wang	[111]
80	Shayna P. Watson	[152]
81	Wen Wu	[106]
82	Eric P. Xing	[104] [108] [123] [130]
83	Narendar Yalamanchilli	[42]
84	Yiming Yang	[57]
85	Tae Yano	[126]
86	Evelyn Yarzebinski	[150] [152]
87	Sarah Zelikovitz	[95]
88	ChengXiang Zhai (Chengxiang Zhai)	[72]
89	Jun Zhu	[133]

Colors in the list of coauthors

Last update Fri May 25 01:42:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page