Papers by William W. Cohen

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2008

  1. Andrew Arnold and William W. Cohen (2008): Intra-document Structural Frequency Features for Semi-Supervised Domain Adaptation in CIKM-2008.
  2. Richard Wang, Nico Schlaefer, William W. Cohen, and Eric Nyberg (2008): Automatic Set Expansion for List Question Answering in EMNLP-2008.
  3. Einat Minkov and William W. Cohen (2008): Learning Graph Walk Based Similarity Measures for Parsed Text in EMNLP-2008.
  4. Andrew Arnold, Ramesh Nallapati and William W. Cohen (2008): Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition in ACL-2008.
  5. Ramnath Balasubramanyan, Vitor Carvalho, and William W. Cohen (2008): CutOnce - Recipient Recommendation and Leak Detection in Action in AAAI-2008 Workshop on Enhanced Messaging.
  6. Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth Koedinger (2008): SimStudent: Building an Intelligent Tutoring System by Tutoring a Synthetic Student in preparation.
  7. Einat Minkov and William W. Cohen (2008): Learning to Walk Structured Text Networks in CMU SCS Technical Report Series (CMU-LTI-08-02).
  8. Ramesh Nallapati, Amr Ahmed, Eric Xing, and William W. Cohen (2008): Joint Latent Topic Models for Text and Citations in KDD-2008.
  9. Frank Lin and William W. Cohen (2008): Accurate Semi-supervised Classification for Graph Data in preparation.
  10. Ramesh Nallapati and William W. Cohen (2008): Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs in ICWSM-2008.
  11. Yi-Chia Wang, Mahesh Joshi, William Cohen, and Carolyn Rose (2008): Recovering Implicit Thread Structure in Newsgroup Style Conversations in ICWSM-2008.
  12. Frank Lin and William W. Cohen (2008): The MultiRank Bootstrap Algorithm: SemiSupervised Political Blog Classification and Ranking Using SemiSupervised Link Classification (2-page abstract) in ICWSM-2008.
  13. Frank Lin and William W. Cohen (2008): The MultiRank Bootstrap Algorithm: SemiSupervised Political Blog Classification and Ranking Using SemiSupervised Link Classification in CMU SCS Technical Report Series (CMU-LTI-08-03).
  14. Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, and Kenneth R. Koedinger (2008): Why Tutored Problem Solving may be better than Example Study: Theoretical Implications from a Simulated-Student Study in ITS-2008.
  15. Vitor Carvalho and William W. Cohen (2008): Ranking Users for Intelligent Message Addressing in ECIR-2008.

2007

  1. Andrew Arnold, Ramesh Nallapati and William W. Cohen (2007): A Comparative Study of Methods for Transductive Transfer Learning in ICDM Workshop on Mining and Management of Biological Data.
  2. Ramesh Nallapati, William W. Cohen, and John Lafferty (2007): Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability in ICDM Workshop on High Performance Data Mining.
  3. Ramesh Nallapati, Amr Ahmed, William Cohen and Eric Xing (2007): Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models in ICDM Workshop on High Performance Data Mining.
  4. William Cohen (2007): Graph Walks and Graphical Models in preparation.
  5. Richard Wang and William Cohen (2007): Language-Independent Set Expansion of Named Entities using the Web in ICDM-2007.
  6. Einat Minkov and William Cohen (2007): Learning to Rank Typed Graph Walks: Local and Global Approaches in WebKDD-2007.
  7. Sarah Zelikovitz, William Cohen, and Haym Hirsh (2007): Extending WHIRL with background knowledge for improved text classification in Information Retrieval 10(1) pp 35-67.
  8. Vitor Carvalho, Wen Wu and William Cohen (2007): Discovering Leadership Roles in Email Workgroups in CEAS-2007.
  9. Zhenzhen Kou, Vitor Carvalho and William Cohen (2007): Online Stacked Graphical Learning in NIPS-07 Workshop on Efficient Machine Learning .
  10. Vitor Carvalho and William Cohen (2007): Recommending Recipients in the Enron Corpus in preparation.
  11. Ramesh Nallapati, William Cohen, Susan Ditmore, John Lafferty and Kin Ung (2007): Multiscale Topic Tomography in KDD-2007.
  12. Noboru Matsuda, William Cohen, Jonathan Sewall, Gustavo Lacerda and Ken Koedinger (2007): Predicting students performance with a SimStudent that learns cognitive skills from observation in AIED-2007.
  13. Noboru Matsuda, William Cohen, Jonathan Sewall, Gustavo Lacerda and Ken Koedinger (2007): Evaluating a simulated student using real students data for training and testing in UM-2007.
  14. Juchang Hua, Orhan Ayasli, William Cohen and Robert Murphy (2007): Identifying Fluorescence Microscope Images in Online Journal Publications using Both Image and Text Features in ISBI-2007.
  15. Vitor Carvalho and William W. Cohen (2007): Preventing Information Leaks in Email in SDM-2007.
  16. Zhenzhen Kou and William W. Cohen (2007): Stacked Graphical Models for Efficient Inference in Markov Random Fields in SDM-2007.
  17. Zhenzhen Kou, William W. Cohen, and Robert F. Murphy (2007): A Stacked Graphical Model for Associating Information from Text And Images In Figures in PSB-2007.

2006

  1. Richard C. Wang, Anthony Tomasic, Robert E. Frederking, William W. Cohen (2006): Learning to Extract Gene-Protein Names from Weakly-Labeled Text in CMU SCS Technical Report Series (CMU-LTI-08-04).
  2. Noboru Matsuda, William Cohen & Ken Koedinger (2006): What characterizes a better demonstration for cognitive modeling by demonstration? in CMU SCS Technical Report Series (CMU-ML-06-106).
  3. Noboru Matsuda, William W. Cohen, Jonathan Sewall, Kenneth R. Koedinger (2006): Applying Machine Learning to Cognitive Modeling for Cognitive Tutors in CMU SCS Technical Report Series (CMU-ML-06-105).
  4. Einat Minkov and William W. Cohen (2006): An Email and Meeting Assistant using Graph Walks in CEAS-2006.
  5. Einat Minkov, Andrew Ng and William W. Cohen (2006): Contextual Search and Name Disambiguation in Email using Graphs in SIGIR-2006.
  6. Vitor Carvalho and William W. Cohen (2006): Single-Pass Online Learning: Performance, Voting Schemes and Online Feature Selection in KDD-2006 .
  7. Vitor Carvalho and William W. Cohen (2006): Improving Email Speech Act Analysis via N-gram Selection in HLT/NAACL ACTS Workshop 2006.
  8. Einat Minkov, Richard C.Wang, Anthony Tomasic and William W. Cohen (2006): NER Systems that Suit Users Preferences: Adjusting the Recall-Precision Trade-off for Entity Extraction in HLT/NAACL-2006 (short paper).
  9. William W. Cohen (2006): A Graph-Search Framework for GeneId Ranking (Extended Abstract) in BioNLP'06.
  10. William W. Cohen & Einat Minkov (2006): A Graph-Search Framework for Associating Gene Identifiers with Documents in BMC Bioinformatics.

2005

  1. Einat Minkov, Richard C. Wang, and William W. Cohen (2005): Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text in EMNLP/HLT-2005.
  2. Edoardo M. Airoldi, William W. Cohen, Stephen E. Fienberg (2005): Bayesian methods for frequent terms in text: Models of contagion and the Delta square statistic in CSNA-2005.
  3. William W. Cohen, Einat Minkov & Anthony Tomasic (2005): Learning to Understand Web Site Update Requests in IJCAI-2005.
  4. William W. Cohen & Vitor Carvalho (2005): Stacked Sequential Learning in IJCAI-2005.
  5. Vitor Carvalho & William W. Cohen (2005): On the Collective Classification of Email Speech Acts in SIGIR 2005.
  6. Zhenzhen Kou, William W. Cohen & Robert F. Murphy (2005): High-Recall Protein Entity Recognition Using a Dictionary in ISMB-2005.
  7. Carolyn Rose, Pinar Donmez, G. Gweon, A. Knight, B. Junker, W. Cohen, K. Koedinger, N. Hefferman (2005): Automatic and Semi-Automatic Skill Coding with a View Towards Supporting On-Line Assessment in AIED-2005.
  8. Noboru Matsuda, William Cohen & Ken Koedinger (2005): An Intelligent Authoring System with Programming by Demonstration. in Proceedings of the Japan National Conference on Information and Systems in Education.
  9. Noboru Matsuda, William Cohen & Ken Koedinger (2005): Building Cognitive Tutors with Programming by Demonstration in ILP-2005 (late-breaking paper).
  10. Noboru Matsuda, William Cohen & Ken Koedinger (2005): Applying Programming by Demonstration in an Intelligent Authoring Tool for Cognitive Tutors in AAAI Workshop on Human Comprehensible Machine Learning.

2004

  1. Einat Minkov, Richard Wang & William Cohen (2004): Extracting Personal Names from Emails: Applying Named Entity Recognition to Informal Text in preparation.
  2. Sunita Sarawagi & William W. Cohen (2004): Semi-Markov Conditional Random Fields for Information Extraction in NIPS 2004.
  3. Robert F. Murphy, Zhenzhen Kou, Juchang Hua, Matthew Joffe, William W. Cohen (2004): Extracting and Structuring Subcellular Location Information from On-line Journal Articles: The Subcellular Location Image Finder in KSCE-2004.
  4. Pradeep Ravikumar, William W. Cohen, Stephen E. Fienberg (2004): A Secure Protocol for Computing String Distance Metrics in PSDM-2004.
  5. Anthony Tomasic, William W. Cohen, Einat Minkov, ... (2004): Learning to Navigate Web Forms in IIWeb 2004.
  6. William W. Cohen, Vitor R. Carvalho & Tom Mitchell (2004): Learning to Classify Email into "Speech Acts" in EMNLP 2004.
  7. Vitor R. Carvalho & William W. Cohen (2004): Learning to Extract Signature and Reply Lines from Email in CEAS 2004.
  8. Yifen Huang, Dinesh Govindaraju, Tom Mitchell, Vitor Rocha de Carvalho & William W. Cohen (2004): Inferring Ongoing Activities of Workstation Users by Clustering Email in CEAS 2004.
  9. Pradeep Ravikumar & William W. Cohen (2004): A Hierarchical Graphical Model for Record Linkage in UAI 2004.
  10. William W. Cohen & Sunita Sarawagi (2004): Exploiting Dictionaries in Named Entity Extraction: Combining Semi-Markov Extraction Processes and Data Integration Methods in KDD 2004: 89-98.

2003

  1. William W. Cohen (2003): Learning and Discovering Structure in Web Pages in IEEE Data Eng. Bull. 26(3): 3-10 (2003).
  2. Mikael Bilenko, Ray Mooney, William W. Cohen, Pradeep Ravikumar & Steve Fienberg (2003): Adaptive Name-Matching in Information Integration in IEEE Intelligent Systems 18(5): 16-23 (2003).
  3. William W. Cohen, Zhenzhen Kou & Robert F. Murphy (2003): Extracting Information from Text and Images for Location Proteomics in BIOKDD 2003: 2-9.
  4. William W. Cohen, Pradeep Ravikumar & Stephen Fienberg (2003): A Comparison of String Metrics for Matching Names and Records in KDD Workshop on Data Cleaning and Object Consolidation.
  5. William W. Cohen, Pradeep Ravikumar & Stephen Fienberg (2003): A Comparison of String Distance Metrics for Name-Matching Tasks in IIWeb 2003: 73-78.
  6. William W. Cohen, Richard Wang & Robert Murphy (2003): Understanding Captions in Biomedical Publications in KDD 2003: 499-504.
  7. William W. Cohen (2003): Infrastructure Components for Large-Scale Information Extraction Systems in IAAI 2003: 71-78.
  8. Cheng Zhai, William W. Cohen & John Lafferty (2003): Beyond Independent Topical Relevance: Methods and Evaluation Metrics for Subtopic Retrieval in SIGIR 2003: 10-17.
  9. William W. Cohen, Matthew Hurst & Lee S. Jensen (2003): A Flexible Learning System for Wrapping Tables and Lists in HTML Documents in Web Document Analysis: Challenges and Opportunities, ed. Antonacopoulos & Hu, Word Scientific Publishing. (Originally published as: William W. Cohen, Matthew Hurst & Lee S. Jensen (2002): A Flexible Learning System for Wrapping Tables and Lists in HTML Documents in WWW 2002: 232-241; Lee S. Jensen & William W. Cohen (2001): A Structured Wrapper Induction System for Extracting Information from Semi-Structured Documents in Proc. of the IJCAI-2001 Workshop on Adaptive Text Extraction and Mining).

2002

  1. William W. Cohen (2002): Improving A Page Classifier with Anchor Extraction and Link Analysis in NIPS 2002.
  2. William W. Cohen & Jacob Richman (2002): Learning to Match and Cluster Large High-Dimensional Data Sets For Data Integration in KDD 2002: 475-480.

2001

  1. William W. Cohen & Jacob Richman (2001): Learning to Match and Cluster Entity Names in Proc. of the ACM SIGIR-2001 Workshop on Mathematical/Formal Methods in IR.
  2. Lee S. Jensen & William W. Cohen (2001): Grouping Extracted Fields in Proc. of the IJCAI-2001 Workshop on Adaptive Text Extraction and Mining.
  3. Chumki Basu, Haym Hirsh, William W. Cohen & Craig Neville-Manning (2001): Technical Paper Recommendation: A Study in Combining Multiple Information Sources in J. Artif. Intell. Res. (JAIR) 14: 231-252 (2001). (Originally published as: Chumki Basu, Haym Hirsh, William W. Cohen (1998): Recommendation as Classification: Using Social and Content-Based Information in Recommendation. in AAAI/IAAI 1998: 714-720).
  4. William W. Cohen (2001): Issues in Extracting Information from the Web (Extended Abstract) in IWPT 2001.

2000

  1. William W. Cohen (2000): Extracting Information from the Web for Concept Learning and Collaborative Filtering in ALT 2000: 1-12.
  2. William W. Cohen, Andrew McCallum, Dallan Quass (2000): Learning to Understand the Web in IEEE Data Eng. Bull. 23(3): 17-24 (2000).
  3. Jaime G. Carbonell, Yiming Yang, William W. Cohen (2000): Special Issue of Machine Learning on Information Retrieval - Introduction in Machine Learning 39(2/3): 99-101 (2000).
  4. William W. Cohen, David McAllester, and Henry Kautz (2000): Hardening Soft Information Sources in KDD 2000: 255-259.
  5. William W. Cohen (2000): Automatically extracting features for concept learning from the Web in ICML 2000: 159-166.
  6. William W. Cohen and Wei Fan (2000): Web-Collaborative Filtering: Recommending Music by Crawling The Web in Computer Networks 33(1-6): 685-698 (2000). (Originally published as: William W. Cohen and Wei Fan (2000): Web-Collaborative Filtering: Recommending Music by Crawling The Web in WWW 2000).
  7. William W. Cohen (2000): Data Integration using Similarity Joins and a Word-based Information Representation Language in ACM Trans. Inf. Syst. 18(3): 288-321 (2000). (Originally published as: William W. Cohen (1998): Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity in SIGMOD Conference 1998: 201-212; William W. Cohen (1997): Knowledge Integration for Structured Information Sources Containing Text (Extended Abstract) in SIGIR Workshop on Networked IR (informal proceedings)).
  8. William W. Cohen (2000): WHIRL: A Word-based Information Representation Language in Artif. Intell. 118(1-2): 163-196 (2000).
  9. William W. Cohen & Prem Devanbu (2000): Automatically Exploring Hypotheses about Fault Prediction: a Comparative Study of Inductive Logic Programming Methods in International Journal of Software Engineering and Knowledge Engineering 9(5): 519-546 (1999). (Originally published as: William W. Cohen and Prem Devanbu (1997): A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction in ICML 1997: 66-74).

1999

  1. William W. Cohen and Yoram Singer (1999): Simple, Fast, and Effective Rule Learner in AAAI/IAAI 1999: 335-342.
  2. William W. Cohen (1999): What Can We Learn from the Web in ICML 1999.
  3. William W. Cohen (1999): Recognizing Structure in Web Pages using Similarity Queries in AAAI/IAAI 1999: 59-66.
  4. William W. Cohen and Wei Fan (1999): Learning Page-Independent Heuristics for Extracting Data from Web Pages in Computer Networks 31(11-16): 1641-1652 (1999). (Originally published as: William W. Cohen and Wei Fan (1999): Learning Page-Independent Heuristics for Extracting Data from Web Pages in WWW 1999).
  5. William W. Cohen (1999): Reasoning about Textual Similarity in a Web-Based Information Access in Autonomous Agents and Multi-Agent Systems 2(1): 65-86 (1999).
  6. William W. Cohen (1999): A Demonstration of WHIRL (demonstration abstract) in SIGIR 1999: 327.
  7. William W. Cohen (1999): Some Practical Observations on Integration of Web Information in WebDB (Informal Proc.) 1999: 55-60.
  8. William W. Cohen, Rob Schapire, Yoram Singer (1999): Learning to Order Things in J. Artif. Intell. Res. (JAIR) 10: 243-270 (1999). (Originally published as: William W. Cohen, Robert E. Schapire, Yoram Singer (1997): Learning to Order Things in NIPS 1997).
  9. William W. Cohen & Yoram Singer (1999): Context-sensitive learning methods for text categorization in ACM Trans. Inf. Syst. 17(2): 141-173 (1999). (Originally published as: William W. Cohen and Yoram Singer (1996): Context-sensitive learning methods for text categorization in SIGIR 1996: 307-315).

1998

  1. William W. Cohen (1998): The WHIRL Approach to Information Integration in IEEE Intelligent Systems, Sept/Oct 1998, pp 20--23.
  2. William W. Cohen & Haym Hirsh (1998): Joins that Generalize: Text Classification Using WHIRL in KDD 1998: 169-173.
  3. William W. Cohen (1998): Providing Database-like Access to the Web Using Queries Based on Textual Similarity (demonstration abstract) in SIGMOD Conference 1998: 558-560.
  4. William W. Cohen (1998): A Web-based Information System that Reasons with Structured Collections of Text in Agents 1998: 400-407.
  5. William W. Cohen (1998): The WHIRL Approach to Integration: An Overview in IIWeb 1998 (informal proceedings).
  6. William W. Cohen (1998): Hardness Results for Learning First-Order Representations and Programming by Demonstration in Machine Learning 30(1): 57-87 (1998). (Originally published as: William W. Cohen (1996): The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract) in COLT 1996: 29-40).

1997

  1. William W. Cohen and Daniel Kudenko (1997): Transferring and Retraining Learned Information Filters in AAAI/IAAI 1997: 583-590.

1996

  1. William W. Cohen (1996): Learning Trees and Rules with Set-valued Features in AAAI/IAAI, Vol. 1 1996: 709-716.
  2. William W. Cohen (1996): Learning Rules that Classify E-Mail in AAAI Spring Symposium on ML and IR 1996.
  3. William W. Cohen and Yoram Singer (1996): Learning to Query the Web in AAAI Workshop on Internet-Based Information Access Systems 1996.
  4. William W. Cohen (1996): Adaptive mapping and navigation by teams of simple robots in Robotics and Autonomous Systems, 18: 411-434 (1996).

1995

  1. William W. Cohen (1995): Pac-learning non-recursive prolog clauses in Artif. Intell. 79(1): 1-38 (1995).
  2. William W. Cohen (1995): Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors in Autom. Softw. Eng. 2(2): 107-129 (1995). (Originally published as: William W. Cohen (1994): Recovering Software Specifications with Inductive Logic Programming in AAAI 1994: 142-148).
  3. William W. Cohen (1995): Learning to Classify English Text with ILP Methods in Advances in ILP, ed. L. de Readt, IOS Press.
  4. William W. Cohen (1995): Fast effective rule induction in ICML 1995: 115-123.
  5. William W. Cohen (1995): Text categorization and relational learning in ICML 1995: 124-132.
  6. William W. Cohen and C. David Page Jr (1995): Polynomial learnability and inductive logic programming: Methods and results in New Generation Comput. 13(3&4): 369-409 (1995).
  7. William W. Cohen (1995): Pac-learning recursive logic programs: Efficient algorithms in J. Artif. Intell. Res. (JAIR) 2: 501-539 (1995).
  8. William W. Cohen (1995): Pac-learning recursive logic programs: Negative results in J. Artif. Intell. Res. (JAIR) 2: 541-573 (1995).

1994

  1. William W. Cohen (1994): Pac-learning nondeterminate Clauses in AAAI 1994: 676-681.
  2. L. Thorn McCarty and William W. Cohen (1994): The case for explicit exceptions in Methods of Logic in Computer Science, 1(1).
  3. Haym Hirsh and William W. Cohen (1994): Learning from data with bounded inconsistency: Theoretical and experimental results in Computational learning theory and natural learning systems (Volume I), MIT Press..
  4. William W. Cohen and Haym Hirsh (1994): Learning the CLASSIC description logic: Theoretical and experimental results in KR 1994: 121-133.
  5. William W. Cohen and Haym Hirsh (1994): Learnability of description logics with equality constraints in Machine Learning 17(2-3): 169-199 (1994). (Originally published as: William W. Cohen and Haym Hirsh (1992): Learnability of Description Logics in COLT 1992: 116-127).
  6. William W. Cohen, Russell Greiner, and Dale Schuurmans (1994): Probabilistic hill-climbing in Computational learning theory and natural learning systems (Volume II), MIT Press..
  7. William W. Cohen (1994): Incremental abductive EBL in Machine Learning 15(1): 5-24 (1994).
  8. William W. Cohen (1994): Grammatically biased learning: learning logic programs using an explicit antecedent description language in Artif. Intell. 68(2): 303-366 (1994).

1993

  1. William W. Cohen (1993): Cryptographic limitations on learning one-clause logic programs in AAAI 1993: 80-85.
  2. P. S. Rosenbloom, H. Hirsh, Cohen, and B. D. Smith (1993): Two frameworks for integrating knowledge in induction in Proc. of the Seventh Annual Workshop on Space Operations, Applications, and Research (SOAR '93).
  3. William W. Cohen (1993): Rapid prototyping of ILP systems using explicit bias in Proc. of the 1993 IJCAI Workshop on Inductive Logic Programming.
  4. William W. Cohen (1993): Pac-learning a restricted class of recursive logic programs in AAAI 1993: 86-92.
  5. William W. Cohen (1993): Efficient pruning methods for separate-and-conquer rule learning systems in IJCAI 1993: 988-994.
  6. William W. Cohen (1993): Learnability of Restricted Logic Programs in Proc. of the Third International Workshop on Inductive Logic Programming (ILP-93).
  7. William W. Cohen (1993): A Review of `Creating a Memory of Causal Relationships' by Michael Pazzani in Machine Learning (1993).

1992

  1. William W. Cohen, Alex Borgida, and Haym Hirsh (1992): Computing least common subsumers in description logics in AAAI 1992: 754-760.
  2. William W. Cohen (1992): Using distribution-free learning theory to analyze solution path caching mechanisms in Computational Intelligence 8: 336-375 (1992).
  3. William W. Cohen (1992): Desiderata for generalization-to-n algorithms in AII 1992: 140-150.
  4. William W. Cohen (1992): Compiling prior knowledge into an explicit bias in ICML 1992: 102-110.
  5. William W. Cohen (1992): Abductive explanation based learning: A solution to the multiple inconsistent explanation problem in Machine Learning 8: 167-219 (1992).

1991

  1. William W. Cohen (1991): The generality of overgenerality in ICML 1991: 490-494.

1990

  1. William W. Cohen (1990): Learning from textbook knowledge: A case study in AAAI 1990: 743-748.
  2. William W. Cohen (1990): Learning approximate control rules of high utility in ICML 1990: 268-276.
  3. William W. Cohen (1990): An analysis of representation shift in concept learning in ICML 1990: 104-112.
  4. William W. Cohen (1990): Learning from Examples and an "Abductive Theory" in Proc. of the 1990 AAAI Spring Symposium on Abduction.

1988

  1. William W. Cohen (1988): Generalizing number and learning from multiple examples in explanation-based learning in ICML 1988: 256-269.
  2. William W. Cohen, Jack Mostow & Alex Borgida (1988): Generalizing number in explanation-based learning in Proc. of the 1988 AAAI Spring Symposium on Explanation-Based Learning.

1987

  1. G. Miller, D. Rosenthal, W. Cohen, and M. Johnston (1987): Expert systems tools for hubble space telescope scheduling in Proc. of the Goddard Conference on Space Applications of Artificial Intelligence and Robotics.
  2. T. Hornick, W. Cohen, and G. Miller (1987): A natural language query system for hubble space telescope proposal selection in Proc. of the Goddard Conference on Space Applications of Artificial Intelligence and Robotics.

1986

  1. K. Bartlett, W. Cohen, A. De Geus, and G. Hachtel (1986): Synthesis and optimization of multi-level logic under timing constraints in Proc. of the IEEE International Conference on Computer-Aided Design.

1985

  1. A. De Geus and W. Cohen (1985): Optimization of combinational logic using a rule-based expert system in IEEE Design and Test of Computers.
  2. W. Cohen, K. Bartlett, and A. De Geus (1985): Impact of metarules in a rule-based expert system for gate level optimization in Proc. of the IEEE Int'l Symp. on Circuits and Systems.

1984

  1. W. Cohen, K. Bartlett, and A. De Geus (1984): Impact of metarules in a rule-based expert system for gate level optimization in Proc. of the IEEE Int'l Symp. on Circuits and Systems.
  2. Karl Garrison, David Gregory, William W. Cohen & Aart De Geus, (1984): Automatic Area and Performance Optimization of Combinatorial Logic in Proc. of the IEEE International Conference on Computer-Aided Design.

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