Haym Hirsh

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William W. CohenCMU and Google DeepMindVerified email at google.com
Brian D. DavisonProfessor and Chair, Dept. of Computer Science and Engineering, Lehigh UniversityVerified email at cse.lehigh.edu
Ronen FeldmanProfessor of Data Science, Hebrew UniversityVerified email at huji.ac.il
Sofus Attila MacskássyData at LinkedInVerified email at linkedin.com
Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityVerified email at cs.duke.edu
Khaled RasheedUniversity of GeorgiaVerified email at uga.edu
Yolanda GilResearch Professor of Computer Science, University of Southern CaliforniaVerified email at isi.edu
Arunava BanerjeeAssociate Professor of Computer and Information Science and EngineeringVerified email at cise.ufl.edu
Mark SchwabacherTechnical Program Manager, GoogleVerified email at schwabacher.com
Seyda ErtekinAssociate Professor @ ODTU and Computer Scientist & Researcher @ MITVerified email at metu.edu.tr
Alexander BorgidaProfessor of Computer ScienceVerified email at cs.rutgers.edu
Craig Nevill-ManningGoogleVerified email at nevill-manning.com
David LoewensternSenior Data Scientist, WhitePages.comVerified email at whitepages.com
Daniel KudenkoL3S Research Center, Leibniz University Hannover, GermanyVerified email at l3s.de
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Derek SleemanProfessor of Computing Science, The University, Aberdeen, UKVerified email at abdn.ac.uk
Michael LittmanBrown UniversityVerified email at brown.edu
Leonard PittProfessor of Computer ScienceVerified email at illinois.edu
Jim HendlerProfessor of computer science, RPIVerified email at cs.rpi.edu
Thomas J. WalshSony AIVerified email at sony.com

Haym Hirsh

Computer Science, Cornell University

Verified email at cornell.edu - Homepage

artificial intelligence machine learning human computation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Recommendation as classification: Using social and content-based information in recommendation C Basu, H Hirsh, W Cohen Aaai/iaai, 714-720, 1998	1793	1998
Learning to Predict Rare Events in Event Sequences. GM Weiss, H Hirsh KDD 98, 359-363, 1998	404	1998
Predicting sequences of user actions BD Davison, H Hirsh Notes of the AAAI/ICML 1998 workshop on predicting the future: AI approaches …, 1998	357	1998
Computing least common subsumers in description logics WW Cohen, A Borgida, H Hirsh AAAI 1992, 754-760, 1992	248	1992
Mining text using keyword distributions R Feldman, I Dagan, H Hirsh Journal of Intelligent Information Systems 10, 281-300, 1998	232	1998
Learning the CLASSIC description logic: Theoretical and experimental results WW Cohen, H Hirsh Principles of Knowledge Representation and Reasoning, 121-133, 1994	230	1994
Joins that Generalize: Text Classification Using WHIRL. WW Cohen, H Hirsh KDD, 169-173, 1998	228	1998
Using LSI for text classification in the presence of background text S Zelikovitz, H Hirsh Proceedings of the tenth international conference on Information and …, 2001	216	2001
Amplify scientific discovery with artificial intelligence Y Gil, M Greaves, J Hendler, H Hirsh Science 346 (6206), 171-172, 2014	197	2014
Mining Associations in Text in the Presence of Background Knowledge. R Feldman, H Hirsh KDD, 343-346, 1996	197	1996
Improving short text classification using unlabeled background knowledge to assess document similarity S Zelikovitz, H Hirsh Proceedings of the seventeenth international conference on machine learning …, 2000	183	2000
Technical paper recommendation: A study in combining multiple information sources C Basu, H Hirsh, WW Cohen, C Nevill-Manning Journal of Artificial Intelligence Research 14, 231-252, 2001	182	2001
Towards Measuring Similarity in Description Logics. A Borgida, TJ Walsh, H Hirsh Description Logics 147, 1-8, 2005	160	2005
Knowledge management: A text mining approach R Feldman, M Fresko, H Hirsh, Y Aumann, O Liphsta, Y Schler, M Rajman Proc. the 2nd Int. Conf. on Practical Aspects of Knowledge Management …, 1998	159	1998
Learning to personalize H Hirsh, C Basu, BD Davison Communications of the ACM 43 (8), 102-106, 2000	152	2000
Generalizing version spaces H Hirsh Machine learning 17, 5-46, 1994	126	1994
A quantitative study of small disjuncts GM Weiss, H Hirsh AAAI/IAAI 2000 (665–670), 15, 2000	117	2000
Exploiting background information in knowledge discovery from text R Feldman, H Hirsh Journal of Intelligent Information Systems 9, 83-97, 1997	106	1997
The learnability of description logics with equality constraints WW Cohen, H Hirsh Machine Learning 17, 169-199, 1994	106	1994
A genetic algorithm for continuous design space search K Rasheed, H Hirsh, A Gelsey Artificial Intelligence in Engineering 11 (3), 295-305, 1997	102	1997

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