Charles Elkan

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	すべて	2019 年以来
引用	39838	15227
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共著者

Timothy BaileyUniversity of Nevada, Reno確認したメールアドレス: unr.edu
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ Abridge確認したメールアドレス: cmu.edu
Aditya Krishna MenonResearch Scientist, Google確認したメールアドレス: google.com
Balakrishnan NarayanaswamyPrincipal ML Scientist, AWS AI, Amazon確認したメールアドレス: amazon.com
Alvaro MongeVisiting Professor and Director of Khoury Programs, Northeastern University, San Francisco確認したメールアドレス: northeastern.edu
Bianca ZadroznyIBM Research Brasil確認したメールアドレス: br.ibm.com
Russ GreinerProfessor of Computing Science, University of Alberta; CIFAR AI Chair確認したメールアドレス: ualberta.ca
David KauchakProfessor of Computer Science, Pomona College確認したメールアドレス: pomona.edu
Milton SaierProfessor of Molecular Biology, UC San Diego確認したメールアドレス: ucsd.edu
Ramon HuertaSenior Principal Scientist, Amazon確認したメールアドレス: amazon.com
Alberto Maria SegreProfessor and Chair, Gerard P Weeg Faculty Scholar in Informatics, Department of Computer Science確認したメールアドレス: uiowa.edu
Rasmus Elsborg MadsenUNEEG medical確認したメールアドレス: uneeg.com
Qinghua GuoPeking University確認したメールアドレス: pku.edu.cn
Wenkai LiSun Yat-Sen University確認したメールアドレス: mail.sysu.edu.cn
Rashmi GangadharaiahPrincipal Machine Learning Scientist, Amazon確認したメールアドレス: amazon.com
Padhraic SmythDistinguished Professor, Computer Science, University of California Irvine確認したメールアドレス: ics.uci.edu
Lotfi A. ZadehProfessor Emeritus, EECS, UC Berkeley確認したメールアドレス: eecs.berkeley.edu
Gabriel DoyleAssistant Professor, San Diego State University確認したメールアドレス: sdsu.edu
Sanmay DasProfessor of Computer Science, George Mason University確認したメールアドレス: gmu.edu
Douglas TURNBULLAssociate Professor, Ithaca College確認したメールアドレス: ithaca.edu

フォロー

Charles Elkan

Professor of Computer Science, University of California, San Diego

確認したメールアドレス: ucsd.edu

Machine Learning Data Science Finance


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Fitting a mixture model by expectation maximization to discover motifs in biopolymers TL Bailey, C Elkan ISMB, 28-36, 1994	6297	1994
A Critical Review of Recurrent Neural Networks for Sequence Learning ZC Lipton arXiv Preprint, CoRR, abs/1506.00019, 2015	3395	2015
Building large knowledge-based systems: Representation and inference in the Cyc project: DB Lenat and RV Guha C Elkan, R Greiner Artificial Intelligence 61 (1), 41-52, 1993	3302	1993
The foundations of cost-sensitive learning C Elkan International joint conference on artificial intelligence 17 (1), 973-978, 2001	3140	2001
Transforming classifier scores into accurate multiclass probability estimates B Zadrozny, C Elkan Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	1532	2002
Learning to diagnose with LSTM recurrent neural networks ZC Lipton arXiv preprint arXiv:1511.03677, 2015	1437	2015
Learning the k in k-means G Hamerly, C Elkan Advances in neural information processing systems 16: proceedings of the …, 2004	1433	2004
Learning classifiers from only positive and unlabeled data C Elkan, K Noto Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	1298	2008
Using the triangle inequality to accelerate k-means C Elkan Proceedings of the 20th international conference on Machine Learning (ICML …, 2003	1208	2003
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers B Zadrozny, C Elkan ICML, 609-616, 2001	1186	2001
Unsupervised learning of multiple motifs in biopolymers using expectation maximization TL Bailey, C Elkan Machine Learning 21 (1), 51-80, 1995	989	1995
The value of prior knowledge in discovering motifs with MEME. TL Bailey, C Elkan Ismb 3, 21-29, 1995	927	1995
The field matching problem: algorithms and applications AE Monge, C Elkan KDD 2, 267-270, 1996	911	1996
Alternatives to the k-means algorithm that find better clusterings G Hamerly, C Elkan Proceedings of the eleventh international conference on Information and …, 2002	796	2002
Optimal thresholding of classifiers to maximize F1 measure ZC Lipton, C Elkan, B Naryanaswamy Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014	709	2014
Link prediction via matrix factorization AK Menon, C Elkan Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011	709	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	660	2001
An efficient domain-independent algorithm for detecting approximately duplicate database records AE Monge Proc. of the ACM-SIGMOD Workshop on Research Issues on Knowledge Discovery …, 1997	625	1997
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	501	2009
The paradoxical controversy over fuzzy logic C Elkan IEEE Intelligent Systems, 47-49, 1994	469*	1994

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