Haym Hirsh

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	总计	2019 年至今
引用	8136	1106
h 指数	45	15
i10 指数	85	25

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William W. CohenCMU and Google DeepMind在 google.com 的电子邮件经过验证
Brian D. DavisonProfessor and Chair, Dept. of Computer Science and Engineering, Lehigh University在 cse.lehigh.edu 的电子邮件经过验证
Ronen FeldmanProfessor of Data Science, Hebrew University在 huji.ac.il 的电子邮件经过验证
Sofus Attila MacskássyData at LinkedIn在 linkedin.com 的电子邮件经过验证
Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke University在 cs.duke.edu 的电子邮件经过验证
Khaled RasheedUniversity of Georgia在 uga.edu 的电子邮件经过验证
Yolanda GilResearch Professor of Computer Science, University of Southern California在 isi.edu 的电子邮件经过验证
Arunava BanerjeeAssociate Professor of Computer and Information Science and Engineering在 cise.ufl.edu 的电子邮件经过验证
Mark SchwabacherTechnical Program Manager, Google在 schwabacher.com 的电子邮件经过验证
Seyda ErtekinAssociate Professor @ ODTU and Computer Scientist & Researcher @ MIT在 metu.edu.tr 的电子邮件经过验证
Alexander BorgidaProfessor of Computer Science在 cs.rutgers.edu 的电子邮件经过验证
Craig Nevill-ManningGoogle在 nevill-manning.com 的电子邮件经过验证
David LoewensternSenior Data Scientist, WhitePages.com在 whitepages.com 的电子邮件经过验证
Daniel KudenkoL3S Research Center, Leibniz University Hannover, Germany在 l3s.de 的电子邮件经过验证
Ido DaganProfessor, Computer Science Department, Bar-Ilan University在 cs.biu.ac.il 的电子邮件经过验证
Derek SleemanProfessor of Computing Science, The University, Aberdeen, UK在 abdn.ac.uk 的电子邮件经过验证
Michael LittmanBrown University在 brown.edu 的电子邮件经过验证
Leonard PittProfessor of Computer Science在 illinois.edu 的电子邮件经过验证
Jim HendlerProfessor of computer science, RPI在 cs.rpi.edu 的电子邮件经过验证
Thomas J. WalshSony AI在 sony.com 的电子邮件经过验证

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Haym Hirsh

Computer Science, Cornell University

在 cornell.edu 的电子邮件经过验证 - 首页

artificial intelligence machine learning human computation


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Recommendation as classification: Using social and content-based information in recommendation C Basu, H Hirsh, W Cohen Aaai/iaai, 714-720, 1998	1791	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	356	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	231	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
Mining Associations in Text in the Presence of Background Knowledge. R Feldman, H Hirsh KDD, 343-346, 1996	197	1996
Amplify scientific discovery with artificial intelligence Y Gil, M Greaves, J Hendler, H Hirsh Science 346 (6206), 171-172, 2014	196	2014
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	158	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	116	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	101	1997

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