Christian R. Shelton 个人学术档案

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	总计	2019 年至今
引用	5055	1505
h 指数	35	23
i10 指数	60	39

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Daphne KollerCEO and Founder, insitro在 insitro.com 的电子邮件经过验证
Eamonn KeoghDistinguished Professor of Computer Science, University of California - Riverside在 cs.ucr.edu 的电子邮件经过验证
Zhen QinGoogle DeepMind在 google.com 的电子邮件经过验证
Suresh VenkatasubramanianBrown University在 brown.edu 的电子邮件经过验证
Lydia E. KavrakiRice University在 rice.edu 的电子邮件经过验证
Dan HalperinProfessor of Computer Science, Tel Aviv University在 tauex.tau.ac.il 的电子邮件经过验证
TOMASO POGGIOMcDermott Professor in Brain Sciences, MIT在 ai.mit.edu 的电子邮件经过验证
Paul William FinnOxford Drug Design Limited, University of Buckingham, Affinity Drug Design在 oxforddrugdesign.com 的电子邮件经过验证
Thomas GirkeProfessor of Bioinformatics在 ucr.edu 的电子邮件经过验证
Peter StoneProfessor of Computer Science, The University of Texas at Austin在 cs.utexas.edu 的电子邮件经过验证
Michael KearnsProfessor of Computer Science, University of Pennsylvania在 cis.upenn.edu 的电子邮件经过验证
Satinder SinghGoogle DeepMind / U. of Michigan在 umich.edu 的电子邮件经过验证
Chotirat Ann RatanamahatanaAssociate Professor, Dept. of Computer Engineering, Chulalongkorn University在 chula.ac.th 的电子邮件经过验证
Mike IzbickiClaremont McKenna College在 izbicki.me 的电子邮件经过验证
Bryan M. WongUniversity of California, Riverside在 alum.mit.edu 的电子邮件经过验证
Victor ZordanProfessor of Computer Science, Clemson University在 g.clemson.edu 的电子邮件经过验证
E. Busra CelikkayaAmazon在 amazon.com 的电子邮件经过验证
Antony LamMercari, Inc.在 mercari.com 的电子邮件经过验证
Julia Bailey-SerresCenter for Plant Cell Biology, UC Riverside在 ucr.edu 的电子邮件经过验证
John CushmanUniversity of Nevada在 unr.edu 的电子邮件经过验证

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Christian R. Shelton

Professor, University of California, Riverside

在 cs.ucr.edu 的电子邮件经过验证 - 首页

machine learning point processes artificial intelligence graphical models


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Fast time series classification using numerosity reduction X Xi, E Keogh, C Shelton, L Wei, CA Ratanamahatana Proceedings of the 23rd international conference on Machine learning, 1033-1040, 2006	716	2006
Continuous time Bayesian networks U Nodelman, CR Shelton, D Koller Uncertainty in Artificial Intelligence, 2002	386*	2002
Momentum control for balance A Macchietto, V Zordan, CR Shelton ACM SIGGRAPH 2009 papers, 1-8, 2009	272	2009
A social reinforcement learning agent C Isbell, CR Shelton, M Kearns, S Singh, P Stone Proceedings of the fifth international conference on Autonomous agents, 377-384, 2001	223	2001
Annotating genes of known and unknown function by large-scale coexpression analysis K Horan, C Jang, J Bailey-Serres, R Mittler, C Shelton, JF Harper, JK Zhu, ... Plant physiology 147 (1), 41-57, 2008	211	2008
Automated, highly-accurate, bug assignment using machine learning and tossing graphs P Bhattacharya, I Neamtiu, CR Shelton Journal of Systems and Software 85 (10), 2275-2292, 2012	189	2012
Learning continuous time Bayesian networks U Nodelman, CR Shelton, D Koller Uncertainty in Artificial Intelligence, 2003	184*	2003
Improving Multi-target Tracking via Social Grouping Z Qin, CR Shelton IEEE Conference on Computer Vision and Pattern Recognition, 2012	179	2012
Cobot in LambdaMOO: An adaptive social statistics agent CL Isbell, M Kearns, S Singh, CR Shelton, P Stone, D Kormann Autonomous Agents and Multi-Agent Systems 13, 327-354, 2006	153	2006
Morphable surface models CR Shelton International Journal of Computer Vision 38, 75-91, 2000	139	2000
A perturbation scheme for spherical arrangements with application to molecular modeling D Halperin, CR Shelton Proceedings of the thirteenth annual symposium on Computational geometry …, 1997	122	1997
A continuation method for Nash equilibria in structured games B Blum, CR Shelton, D Koller Journal of Artificial Intelligence Research 25, 457-502, 2006	114	2006
Intrusion detection using continuous time Bayesian networks J Xu, CR Shelton Journal of Artificial Intelligence Research 39, 745-774, 2010	106	2010
Importance sampling for reinforcement learning with multiple objectives CR Shelton	105	2001
Expectation maximization and complex duration distributions for continuous time Bayesian networks U Nodelman, CR Shelton, D Koller Uncertainty in Artificial Intelligence, 2005	103*	2005
An electronic market-maker NT Chan, C Shelton	101	2001
Machine learning, machine vision, and the brain T Poggio, CR Shelton AI Magazine 20 (3), 37-37, 1999	100	1999
Learning from scarce experience L Peshkin, CR Shelton International Conference on Machine Learning, 2002	96	2002
Rapid: Randomized pharmacophore identification for drug design PW Finn, LE Kavraki, JC Latombe, R Motwani, C Shelton, ... Proceedings of the thirteenth annual symposium on Computational geometry …, 1997	95	1997
Expectation propagation for continuous time Bayesian networks U Nodelman, D Koller, CR Shelton Uncertainty in Artificial Intelligence, 2005	91*	2005

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