Charles Elkan

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Timothy BaileyUniversity of Nevada, RenoDirección de correo verificada de unr.edu
Zachary C. LiptonAssistant Professor of Machine Learning at CMUDirección de correo verificada de cmu.edu
Aditya Krishna MenonResearch Scientist, GoogleDirección de correo verificada de google.com
Bianca ZadroznyIBM Research BrasilDirección de correo verificada de br.ibm.com
Balakrishnan NarayanaswamyPrincipal ML Scientist, AWS AI, AmazonDirección de correo verificada de amazon.com
David KauchakAssociate Professor of Computer Science, Pomona CollegeDirección de correo verificada de pomona.edu
Ramon HuertaSenior Principal Scientist, AmazonDirección de correo verificada de amazon.com
Qinghua GuoPeking UniversityDirección de correo verificada de pku.edu.cn
Garrison W. CottrellProfessor of Computer Science and Engineering, University of California, San DiegoDirección de correo verificada de ucsd.edu
Lotfi A. ZadehProfessor Emeritus, EECS, UC BerkeleyDirección de correo verificada de eecs.berkeley.edu
Padhraic SmythProfessor, Computer Science, University of California IrvineDirección de correo verificada de ics.uci.edu
Gabriel DoyleAssistant Professor, San Diego State UniversityDirección de correo verificada de sdsu.edu
Russ GreinerProfessor of Computer Science, University of AlbertaDirección de correo verificada de ualberta.ca
Sanmay DasProfessor of Computer Science, George Mason UniversityDirección de correo verificada de gmu.edu
Douglas TURNBULLAssociate Professor, Ithaca CollegeDirección de correo verificada de ithaca.edu
Bing LiuDistinguished Professor, University of Illinois at ChicagoDirección de correo verificada de uic.edu
Joseph SmarrStanford UniversityDirección de correo verificada de alumni.stanford.edu
Abhishek KumarStaff Research Scientist at FacebookDirección de correo verificada de fb.com
Qiang Yang (杨强）Chief AI Officer@WeBank, Chair Prof.@HKUST, IJCAI President 2017-19, AAAI-21 General ChairDirección de correo verificada de cse.ust.hk

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Charles Elkan

Professor of Computer Science, University of California, San Diego

Dirección de correo verificada de ucsd.edu

Machine Learning Data Science Finance


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Fitting a mixture model by expectation maximization to discover motifs in biopolymers TL Bailey, C Elkan ISMB, 28-36, 1994	5603	1994
The foundations of cost-sensitive learning C Elkan International joint conference on artificial intelligence 17 (1), 973-978, 2001	2528	2001
A critical review of recurrent neural networks for sequence learning ZC Lipton, J Berkowitz, C Elkan arXiv preprint arXiv:1506.00019, 2015	2173	2015
Learning the k in k-means G Hamerly, C Elkan Advances in neural information processing systems 16: proceedings of the …, 2004	1141	2004
Learning to diagnose with LSTM recurrent neural networks ZC Lipton, DC Kale, C Elkan, R Wetzel arXiv preprint arXiv:1511.03677, 2015	1060	2015
Transforming classifier scores into accurate multiclass probability estimates B Zadrozny, C Elkan Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	1059	2002
Using the triangle inequality to accelerate k-means C Elkan Proceedings of the 20th international conference on Machine Learning (ICML …, 2003	1051	2003
Learning classifiers from only positive and unlabeled data C Elkan, K Noto Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	980	2008
Unsupervised learning of multiple motifs in biopolymers using expectation maximization TL Bailey, C Elkan Machine Learning 21 (1), 51-80, 1995	938	1995
The value of prior knowledge in discovering motifs with MEME. TL Bailey, C Elkan Ismb 3, 21-29, 1995	887	1995
The field matching problem: algorithms and applications AE Monge, C Elkan KDD 2, 267-270, 1996	855	1996
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers B Zadrozny, C Elkan ICML, 609-616, 2001	825	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	682	2002
Link prediction via matrix factorization AK Menon, C Elkan Joint european conference on machine learning and knowledge discovery in …, 2011	617	2011
An efficient domain-independent algorithm for detecting approximately duplicate database records A Monge, C Elkan	599	1997
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	592	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	473	2009
The paradoxical controversy over fuzzy logic C Elkan IEEE Intelligent Systems, 47-49, 1994	453*	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	451	1994
Results of the KDD'99 classifier learning contest C Elkan ACM SigKDD Explorations Newsletter 1 (2), 63-64, 2000	394	2000

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