Jaime Carbonell - Google Scholar Citations

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Citations	27942	9661
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Yiming YangProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Tom MitchellE. Fredkin University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Judith Klein-SeetharamanUniversity of WarwickVerified email at warwick.ac.uk
Lori LevinResearch Professor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Alon LavieUnbabel; Consulting Professor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Manuela M. VelosoHerbert A. Simon University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Xi ChenProfessor at New York UniversityVerified email at nyu.edu
Teruko MitamuraResearch Professor of Language Technologies Institute, School of Computer Science, Carnegie MellonVerified email at cs.cmu.edu
Jamie CallanProfessor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Eric NybergProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yan LiuAssociate Professor, Computer ScienceVerified email at usc.edu
Steven N. MintonInferLink CorporationVerified email at inferlink.com
Stephan VogelResearch Director Arabic Language Technologies, Qatar Computing Research InstituteVerified email at qf.org.qa
Yolanda GilResearch Professor of Computer Science, University of Southern CaliforniaVerified email at isi.edu

Jaime Carbonell

Professor of Computer Science, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Machine Learning Artificial Intelligence Language Technologies Computational Biology


Title	Cited by	Year
The use of MMR, diversity-based reranking for reordering documents and producing summaries. JG Carbonell, J Goldstein SIGIR 98, 335-336, 1998	2727	1998
An artificial intelligence approach RS Mitchell, JG Michalski, TM Carbonell Berlin: Springer, 2013	2475	2013
Topic detection and tracking pilot study final report J Allan, JG Carbonell, G Doddington, J Yamron, Y Yang figshare, 2003	1305	2003
A study on retrospective and on-line event detection Y Yang, T Pierce, JG Carbonell figshare, 1982	910	1982
Derivational analogy: A theory of reconstructive problem solving and expertise acquisition. JG Carbonell CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE, 1985	819	1985
Learning by analogy: Formulating and generalizing plans from past experience JG Carbonell Machine learning, 137-161, 1983	695	1983
Summarizing text documents: sentence selection and evaluation metrics J Goldstein, M Kantrowitz, V Mittal, J Carbonell SIGIR 99 (8), 99, 1999	620	1999
Integrating planning and learning: The PRODIGY architecture M Veloso, J Carbonell, A Perez, D Borrajo, E Fink, J Blythe Journal of Experimental & Theoretical Artificial Intelligence 7 (1), 81-120, 1995	543	1995
Temporal collaborative filtering with bayesian probabilistic tensor factorization L Xiong, X Chen, TK Huang, J Schneider, JG Carbonell Proceedings of the 2010 SIAM international conference on data mining, 211-222, 2010	534	2010
An overview of machine learning JG Carbonell, RS Michalski, TM Mitchell Machine learning, 3-23, 1983	504	1983
Learning approaches for detecting and tracking news events Y Yang, JG Carbonell, RD Brown, T Pierce, BT Archibald, X Liu IEEE Intelligent Systems and their Applications 14 (4), 32-43, 1999	470	1999
Multi-document summarization by sentence extraction J Goldstein, V Mittal, J Carbonell, M Kantrowitz Proceedings of the 2000 NAACL-ANLP Workshop on Automatic summarization, 40-48, 2000	431	2000
Explanation-based learning: A problem solving perspective S Minton, JG Carbonell, CA Knoblock, DR Kuokka, O Etzioni, Y Gil Artificial Intelligence 40 (1-3), 63-118, 1989	386	1989
Prodigy: An integrated architecture for planning and learning JG Carbonell, CA Knoblock, S Minton Architectures for intelligence, 255-292, 2014	316	2014
Subjective Understanding: Computer Models of Belief Systems. JG Carbonell YALE UNIV NEW HAVEN CONN DEPT OF COMPUTER SCIENCE, 1979	313	1979
Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization MM Veloso, JG Carbonell Case-Based Learning, 55-84, 1993	309	1993
Topic-conditioned novelty detection Y Yang, J Zhang, J Carbonell, C Jin Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	305	2002
Machine learning: A multistrategy approach RS Michalski, G Tecuci Morgan Kaufmann, 1994	302*	1994
Smoothing proximal gradient method for general structured sparse regression X Chen, Q Lin, S Kim, JG Carbonell, EP Xing The Annals of Applied Statistics 6 (2), 719-752, 2012	292	2012
Machine learning: paradigms and methods JG Carbonell Elsevier North-Holland, Inc., 1990	261*	1990

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