Haym Hirsh

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William W. CohenCMU and Google DeepMindEmail confirmado em google.com
Brian D. DavisonProfessor and Chair, Dept. of Computer Science and Engineering, Lehigh UniversityEmail confirmado em cse.lehigh.edu
Ronen FeldmanProfessor of Data Science, Hebrew UniversityEmail confirmado em huji.ac.il
Sofus Attila MacskássyData at LinkedInEmail confirmado em linkedin.com
Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityEmail confirmado em cs.duke.edu
Khaled RasheedUniversity of GeorgiaEmail confirmado em uga.edu
Yolanda GilResearch Professor of Computer Science, University of Southern CaliforniaEmail confirmado em isi.edu
Arunava BanerjeeAssociate Professor of Computer and Information Science and EngineeringEmail confirmado em cise.ufl.edu
Seyda ErtekinAssociate Professor @ ODTU and Computer Scientist & Researcher @ MITEmail confirmado em metu.edu.tr
Mark SchwabacherTechnical Program Manager, GoogleEmail confirmado em schwabacher.com
Alexander BorgidaProfessor of Computer ScienceEmail confirmado em cs.rutgers.edu
Craig Nevill-ManningGoogleEmail confirmado em nevill-manning.com
David LoewensternSenior Data Scientist, WhitePages.comEmail confirmado em whitepages.com
Daniel KudenkoL3S Research Center, Leibniz University Hannover, GermanyEmail confirmado em l3s.de
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityEmail confirmado em cs.biu.ac.il
Derek SleemanProfessor of Computing Science, The University, Aberdeen, UKEmail confirmado em abdn.ac.uk
Michael LittmanBrown UniversityEmail confirmado em brown.edu
Jim HendlerProfessor of computer science, RPIEmail confirmado em cs.rpi.edu
Leonard PittProfessor of Computer ScienceEmail confirmado em illinois.edu
Thomas J. WalshSony AIEmail confirmado em sony.com

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Haym Hirsh

Computer Science, Cornell University

Email confirmado em cornell.edu - Página inicial

artificial intelligence machine learning human computation


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Recommendation as classification: Using social and content-based information in recommendation C Basu, H Hirsh, W Cohen Aaai/iaai, 714-720, 1998	1796	1998
Learning to Predict Rare Events in Event Sequences. GM Weiss, H Hirsh KDD 98, 359-363, 1998	401	1998
Predicting sequences of user actions BD Davison, H Hirsh Notes of the AAAI/ICML 1998 workshop on predicting the future: AI approaches …, 1998	352	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	236	1998
Learning the CLASSIC description logic: Theoretical and experimental results WW Cohen, H Hirsh Principles of Knowledge Representation and Reasoning, 121-133, 1994	228	1994
Joins that Generalize: Text Classification Using WHIRL. WW Cohen, H Hirsh KDD, 169-173, 1998	221	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	213	2001
Amplify scientific discovery with artificial intelligence Y Gil, M Greaves, J Hendler, H Hirsh Science 346 (6206), 171-172, 2014	202	2014
Mining Associations in Text in the Presence of Background Knowledge. R Feldman, H Hirsh KDD, 343-346, 1996	195	1996
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	181	2001
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	181	2000
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	153	2000
Generalizing version spaces H Hirsh Machine learning 17, 5-46, 1994	125	1994
A quantitative study of small disjuncts GM Weiss, H Hirsh AAAI/IAAI 2000 (665–670), 15, 2000	118	2000
Exploiting background information in knowledge discovery from text R Feldman, H Hirsh Journal of Intelligent Information Systems 9, 83-97, 1997	108	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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