| 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 | 758 | 2006 |
| Continuous time Bayesian networks U Nodelman, CR Shelton, D Koller Uncertainty in Artificial Intelligence, 2002 | 403* | 2002 |
| Momentum control for balance A Macchietto, V Zordan, CR Shelton ACM SIGGRAPH 2009 papers, 1-8, 2009 | 281 | 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 | 237 | 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 | 221 | 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 | 201 | 2012 |
| Learning continuous time Bayesian networks U Nodelman, CR Shelton, D Koller Uncertainty in Artificial Intelligence, 2003 | 191* | 2003 |
| Improving Multi-target Tracking via Social Grouping Z Qin, CR Shelton IEEE Conference on Computer Vision and Pattern Recognition, 2012 | 188 | 2012 |
| Cobot in LambdaMOO: An adaptive social statistics agent CL Isbell Jr, M Kearns, S Singh, CR Shelton, P Stone, D Kormann Autonomous Agents and Multi-Agent Systems 13 (3), 327-354, 2006 | 156 | 2006 |
| Morphable surface models CR Shelton International Journal of Computer Vision 38 (1), 75-91, 2000 | 143 | 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 | 125 | 1997 |
| An electronic market-maker NT Chan, C Shelton | 118 | 2001 |
| A continuation method for Nash equilibria in structured games B Blum, CR Shelton, D Koller Journal of Artificial Intelligence Research 25, 457-502, 2006 | 115 | 2006 |
| Intrusion detection using continuous time Bayesian networks J Xu, CR Shelton Journal of Artificial Intelligence Research 39, 745-774, 2010 | 114 | 2010 |
| Importance sampling for reinforcement learning with multiple objectives CR Shelton | 109 | 2001 |
| Expectation maximization and complex duration distributions for continuous time Bayesian networks U Nodelman, CR Shelton, D Koller Uncertainty in Artificial Intelligence, 2005 | 107* | 2005 |
| 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 | 102 | 1997 |
| Machine learning, machine vision, and the brain T Poggio, CR Shelton AI Magazine 20 (3), 37-37, 1999 | 101 | 1999 |
| Learning from scarce experience L Peshkin, CR Shelton International Conference on Machine Learning, 2002 | 100 | 2002 |
| Expectation propagation for continuous time Bayesian networks U Nodelman, D Koller, CR Shelton Uncertainty in Artificial Intelligence, 2005 | 93* | 2005 |
Daphne KollerCEO and Founder, insitroVerified email at insitro.com
