Christian R. Shelton

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Daphne KollerCEO and Founder, insitroVerified email at insitro.com
Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideVerified email at cs.ucr.edu
Zhen QinGoogleVerified email at google.com
Suresh VenkatasubramanianBrown UniversityVerified email at brown.edu
Lydia E. KavrakiRice UniversityVerified email at rice.edu
Dan HalperinProfessor of Computer Science, Tel Aviv UniversityVerified email at tauex.tau.ac.il
TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Paul William FinnOxford Drug Design Limited, University of Buckingham, Affinity Drug DesignVerified email at oxforddrugdesign.com
Thomas GirkeProfessor of BioinformaticsVerified email at ucr.edu
Chotirat Ann RatanamahatanaAssociate Professor, Dept. of Computer Engineering, Chulalongkorn UniversityVerified email at chula.ac.th
Mike IzbickiClaremont McKenna CollegeVerified email at izbicki.me
Victor ZordanProfessor of Computer Science, Clemson UniversityVerified email at g.clemson.edu
William LamGoogle LLCVerified email at google.com
E. Busra CelikkayaAmazonVerified email at amazon.com
Julia Bailey-SerresCenter for Plant Cell Biology, UC RiversideVerified email at ucr.edu
John CushmanUniversity of NevadaVerified email at unr.edu
Ron MittlerChristopher S. Bond Life Sciences Center - University of MissouriVerified email at missouri.edu
Antony LamMercari, Inc.Verified email at mercari.com
Pamela BhattacharyaUC RiversideVerified email at cs.ucr.edu
Iulian NeamtiuProfessor of Computer Science, New Jersey Institute of TechnologyVerified email at njit.edu

Christian R. Shelton

Professor, University of California, Riverside

Verified email at cs.ucr.edu - Homepage

machine learning point processes artificial intelligence graphical models


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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	676	2006
Continuous time Bayesian networks U Nodelman, CR Shelton, D Koller arXiv preprint arXiv:1301.0591, 2012	355	2012
Momentum control for balance A Macchietto, V Zordan, CR Shelton ACM SIGGRAPH 2009 papers, 1-8, 2009	254	2009
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	197	2008
Cobot: A social reinforcement learning agent C Isbell, C Shelton Advances in neural information processing systems 14, 2001	182	2001
Learning continuous time Bayesian networks U Nodelman, CR Shelton, D Koller arXiv preprint arXiv:1212.2498, 2012	174	2012
Improving Multi-target Tracking via Social Grouping Z Qin, CR Shelton IEEE Conference on Computer Vision and Pattern Recognition, 2012	170	2012
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	160	2012
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	119	1997
Morphable surface models CR Shelton International Journal of Computer Vision 38 (1), 75-91, 2000	118	2000
A continuation method for Nash equilibria in structured games B Blum, CR Shelton, D Koller Journal of Artificial Intelligence Research 25, 457-502, 2006	110	2006
Expectation maximization and complex duration distributions for continuous time Bayesian networks U Nodelman, CR Shelton, D Koller arXiv preprint arXiv:1207.1402, 2012	98	2012
Machine learning, machine vision, and the brain T Poggio, CR Shelton AI Magazine 20 (3), 37-37, 1999	98	1999
Importance sampling for reinforcement learning with multiple objectives CR Shelton	94	2001
Intrusion detection using continuous time Bayesian networks J Xu, CR Shelton Journal of Artificial Intelligence Research 39, 745-774, 2010	90	2010
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	90	1997
Learning from scarce experience L Peshkin, CR Shelton arXiv preprint cs/0204043, 2002	88	2002
An electronic market-maker NT Chan, C Shelton	86	2001
Expectation propagation for continuous time Bayesian networks U Nodelman, D Koller, CR Shelton arXiv preprint arXiv:1207.1401, 2012	84	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 (3), 327-354, 2006	69	2006

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