Charles Elkan

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Timothy BaileyUniversity of Nevada, RenoPotvrđena adresa e-pošte na unr.edu
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgePotvrđena adresa e-pošte na cmu.edu
Balakrishnan NarayanaswamyPrincipal ML Scientist, AWS AI, AmazonPotvrđena adresa e-pošte na amazon.com
Aditya Krishna MenonResearch Scientist, GooglePotvrđena adresa e-pošte na google.com
Bianca ZadroznyIBM Research BrasilPotvrđena adresa e-pošte na br.ibm.com
Alvaro MongeVisiting Professor and Director of Khoury Programs, Northeastern University, San FranciscoPotvrđena adresa e-pošte na northeastern.edu
David KauchakProfessor of Computer Science, Pomona CollegePotvrđena adresa e-pošte na pomona.edu
Milton SaierProfessor of Molecular Biology, UC San DiegoPotvrđena adresa e-pošte na ucsd.edu
Dave KaleData Science Manager, LiteratiPotvrđena adresa e-pošte na literati.com
Ramon HuertaSenior Principal Scientist, AmazonPotvrđena adresa e-pošte na amazon.com
Alberto Maria SegreProfessor and Chair, Gerard P Weeg Faculty Scholar in Informatics, Department of Computer SciencePotvrđena adresa e-pošte na uiowa.edu
Rasmus Elsborg MadsenUNEEG medicalPotvrđena adresa e-pošte na uneeg.com
Qinghua GuoPeking UniversityPotvrđena adresa e-pošte na pku.edu.cn
Wenkai LiSun Yat-Sen UniversityPotvrđena adresa e-pošte na mail.sysu.edu.cn
Rashmi GangadharaiahPrincipal Machine Learning Scientist, AmazonPotvrđena adresa e-pošte na amazon.com
Garrison CottrellComputer Science and Engineering, UCSDPotvrđena adresa e-pošte na ucsd.edu
Padhraic SmythDistinguished Professor, Computer Science, University of California IrvinePotvrđena adresa e-pošte na ics.uci.edu
Lotfi A. ZadehProfessor Emeritus, EECS, UC BerkeleyPotvrđena adresa e-pošte na eecs.berkeley.edu
Gabriel DoyleAssistant Professor, San Diego State UniversityPotvrđena adresa e-pošte na sdsu.edu
Russ GreinerProfessor of Computing Science, University of Alberta; CIFAR AI ChairPotvrđena adresa e-pošte na ualberta.ca

Prati

Charles Elkan

Professor of Computer Science, University of California, San Diego

Potvrđena adresa e-pošte na ucsd.edu

Machine Learning Data Science Finance


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Fitting a mixture model by expectation maximization to discover motifs in biopolymers TL Bailey, C Elkan ISMB, 28-36, 1994	6416	1994
A critical review of recurrent neural networks for sequence learning ZC Lipton, J Berkowitz, C Elkan arXiv preprint arXiv:1506.00019, 2015	3615	2015
The foundations of cost-sensitive learning C Elkan International joint conference on artificial intelligence 17 (1), 973-978, 2001	3251	2001
Transforming classifier scores into accurate multiclass probability estimates B Zadrozny, C Elkan Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	1622	2002
Learning to diagnose with LSTM recurrent neural networks ZC Lipton, DC Kale, C Elkan, R Wetzel arXiv preprint arXiv:1511.03677, 2015	1515	2015
Learning the k in k-means G Hamerly, C Elkan Advances in neural information processing systems 16: proceedings of the …, 2004	1475	2004
Learning classifiers from only positive and unlabeled data C Elkan, K Noto Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	1331	2008
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers B Zadrozny, C Elkan ICML, 609-616, 2001	1262	2001
Using the triangle inequality to accelerate k-means C Elkan Proceedings of the 20th international conference on Machine Learning (ICML …, 2003	1240	2003
Unsupervised learning of multiple motifs in biopolymers using expectation maximization TL Bailey, C Elkan Machine Learning 21 (1), 51-80, 1995	995	1995
The value of prior knowledge in discovering motifs with MEME. TL Bailey, C Elkan Ismb 3, 21-29, 1995	925	1995
The field matching problem: algorithms and applications AE Monge, C Elkan KDD 2, 267-270, 1996	898	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	800	2002
Link prediction via matrix factorization AK Menon, C Elkan Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011	721	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	671	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	627	1997
Optimal thresholding of classifiers to maximize F1 measure ZC Lipton, C Elkan, B Naryanaswamy Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014	528	2014
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	506	2009
The paradoxical controversy over fuzzy logic C Elkan IEEE Intelligent Systems, 47-49, 1994	468*	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	467	1994

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