Charles Elkan

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	All	Since 2016
Citations	26966	10438
h-index	56	39
i10-index	101	69

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Timothy BaileyUniversity of Nevada, RenoVerified email at unr.edu
Zachary C. LiptonAssistant Professor of Operations Research & Machine Learning at CMUVerified email at cmu.edu
Aditya Krishna MenonResearch Scientist, GoogleVerified email at google.com
Bianca ZadroznyIBM Research BrasilVerified email at br.ibm.com
David KauchakAssociate Professor of Computer Science, Pomona CollegeVerified email at pomona.edu
Balakrishnan NarayanaswamyAWS AI, AmazonVerified email at amazon.com
Ramon HuertaVP, Principal Scientist, Capital GroupVerified email at capgroup.com
Qiang Yang (杨强）Chief AI Officer at WeBank, Chair Professor of Engineering @ HKUST, IJCAI President 2017-2019Verified email at cse.ust.hk
Garrison W. CottrellProfessor of Computer Science and Engineering, University of California, San DiegoVerified email at ucsd.edu
Lotfi A. ZadehProfessor Emeritus, EECS, UC BerkeleyVerified email at eecs.berkeley.edu
Gabriel DoyleAssistant Professor, San Diego State UniversityVerified email at sdsu.edu
Padhraic SmythProfessor, Computer Science, University of California IrvineVerified email at ics.uci.edu
Russ GreinerProfessor of Computer Science, University of AlbertaVerified email at ualberta.ca
Sanmay DasProfessor of Computer Science, George Mason UniversityVerified email at gmu.edu
Douglas TURNBULLAssociate Professor, Ithaca CollegeVerified email at ithaca.edu
Joseph SmarrStanford UniversityVerified email at alumni.stanford.edu
Bing LiuDistinguished Professor, University of Illinois at ChicagoVerified email at uic.edu
Qinghua GuoInst. of Botany, CAS & Sierra Nevada Research Inst., UC Merced
Abhishek KumarTechnical Lead, Google (Previously Research Scientist at Facebook)Verified email at fb.com

Charles Elkan

Professor of Computer Science, University of California, San Diego

Verified email at ucsd.edu

Machine Learning Data Science Finance


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fitting a mixture model by expectation maximization to discover motifs in biopolymers TL Bailey, C Elkan ISMB, 28-36, 1994	5128	1994
The foundations of cost-sensitive learning C Elkan International joint conference on artificial intelligence 17 (1), 973-978, 2001	2159	2001
A critical review of recurrent neural networks for sequence learning ZC Lipton, J Berkowitz, C Elkan arXiv preprint arXiv:1506.00019, 2015	1414	2015
Learning the k in k-means G Hamerly, C Elkan Advances in neural information processing systems 16: proceedings of the …, 2004	968	2004
Using the triangle inequality to accelerate k-means C Elkan Proceedings of the 20th international conference on Machine Learning (ICML …, 2003	913	2003
Unsupervised learning of multiple motifs in biopolymers using expectation maximization TL Bailey, C Elkan Machine Learning 21 (1), 51-80, 1995	904	1995
The value of prior knowledge in discovering motifs with MEME. TL Bailey, C Elkan Ismb 3, 21-29, 1995	835	1995
Transforming classifier scores into accurate multiclass probability estimates B Zadrozny, C Elkan Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	828	2002
The field matching problem: algorithms and applications AE Monge, C Elkan KDD 2, 267-270, 1996	797	1996
10 challenging problems in data mining research Q Yang, X Wu International Journal of Information Technology & Decision Making 5 (04 …, 2006	779	2006
Learning to diagnose with LSTM recurrent neural networks ZC Lipton, DC Kale, C Elkan, R Wetzel arXiv preprint arXiv:1511.03677, 2015	758	2015
Learning classifiers from only positive and unlabeled data C Elkan, K Noto Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	755	2008
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers B Zadrozny, C Elkan ICML, 609-616, 2001	642	2001
Alternatives to the k-means algorithm that find better clusterings G Hamerly, C Elkan Proceedings of the eleventh international conference on Information and …, 2002	611	2002
An efficient domain-independent algorithm for detecting approximately duplicate database records A Monge, C Elkan	577	1997
Link prediction via matrix factorization AK Menon, C Elkan Joint european conference on machine learning and knowledge discovery in …, 2011	536	2011
Learning and making decisions when costs and probabilities are both unknown B Zadrozny, C Elkan Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	528	2001
The transporter classification database: recent advances MH Saier Jr, MR Yen, K Noto, DG Tamang, C Elkan Nucleic acids research 37 (suppl_1), D274-D278, 2009	457	2009
The paradoxical controversy over fuzzy logic C Elkan IEEE Intelligent Systems, 47-49, 1994	430*	1994
The paradoxical success of fuzzy logic C Elkan, HR Berenji, B Chandrasekaran, CJS De Silva, Y Attikiouzel, ... IEEE Expert 9 (4), 3-49, 1994	428	1994

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