Thomas G. Dietterich

Oregon State UniversityUnited States

Computer Science · Physical Sciences

67h-index35.2kcitations296works3.22yr avg

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Research Topics

Machine Learning and Data Classification(40), Machine Learning and Algorithms(38), Reinforcement Learning in Robotics(33), Bayesian Modeling and Causal Inference(29), Anomaly Detection Techniques and Applications(25)

Publications296 total

Lecture notes in computer science·2025· 11 cited
SuperIntelligence - Robotics - Safety & Alignment·2025Open Access
arXiv (Cornell University)·2025· 1 citedOpen Access
arXiv (Cornell University)·2025· 9 citedOpen Access
arXiv (Cornell University)·2024· 3 citedOpen Access
arXiv (Cornell University)·2024· 7 citedOpen Access
arXiv (Cornell University)·2023· 2 citedOpen Access
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining·2022· 3 cited
Pattern Recognition·2022· 3 citedOpen Access
arXiv (Cornell University)·2022· 6 citedOpen Access
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021· 23 cited
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 6 citedOpen Access
arXiv (Cornell University)·2021Open Access
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Frequent Co-authors

Weng‐Keen Wong(6), Dan Hendrycks(4), Lida Li(4), Jonathan L. Herlocker(4), Dietrich Wettschereck(4), Alan Fern(4), Hussein Almuallim(3), Shubhomoy Das(3), Andrew Emmott(3), Andrew Farnsworth(2), Daniel Fink(2), Carla P. Gomes(2), Christopher Wood(2), Steve Kelling(2), Ryszard S. Michalski(2), Simone Stumpf(2), Vidya Rajaram(2), Margaret Burnett(2), Erin Sullivan(2), Hongli Deng(2)