Thomas Dietterich

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Prasad TadepalliProfessor of Computer Science, Oregon State UniversityCorreu electrònic verificat a eecs.oregonstate.edu
Dan HendrycksDirector of the Center for AI Safety (advisor for xAI and Scale)Correu electrònic verificat a berkeley.edu
Jon HerlockerCEO Tignis, incCorreu electrònic verificat a herlocker.org
David G. UllmanDavid Ullman LLC.Correu electrònic verificat a davidullman.com
Linda ShapiroProfessor of Computer Science & Engineering, University of WashingtonCorreu electrònic verificat a cs.washington.edu
Richard H. LathropProfessor of Computer Science, University of California IrvineCorreu electrònic verificat a uci.edu
Weng-Keen WongProfessor of Computer Science, Oregon State UniversityCorreu electrònic verificat a eecs.oregonstate.edu
Hussein AlmuallimPresident, FirmSoft TechnologiesCorreu electrònic verificat a firmsofttech.com
Tomas Lozano-PerezProfessor of Computer Science, MITCorreu electrònic verificat a mit.edu
Nicholas S. FlannAssociate Professor of Computer Science, Utah State UniversityCorreu electrònic verificat a usu.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinCorreu electrònic verificat a cs.wisc.edu
David A. LytleOregon State UniversityCorreu electrònic verificat a oregonstate.edu
Simone StumpfUniversity of GlasgowCorreu electrònic verificat a glasgow.ac.uk
Dragos D MargineantuBoeing Research & TechnologyCorreu electrònic verificat a boeing.com
Jianqiang ShenPalo Alto Research Center (PARC)Correu electrònic verificat a parc.com
Xiaoli FernOregon State UniversityCorreu electrònic verificat a eecs.oregonstate.edu
Claire MontgomeryEmeritus Professor, Oregon State University, College of ForestryCorreu electrònic verificat a oregonstate.edu
Janardhan Rao (Jana) DoppaHuie-Rogers Endowed Chair Associate Professor, Washington State UniversityCorreu electrònic verificat a eecs.wsu.edu
Hongli Dengprincipal applied scientistCorreu electrònic verificat a amazon.com
Daniel SheldonUniversity of Massachusetts AmherstCorreu electrònic verificat a cs.umass.edu

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Thomas Dietterich

Distinguished Professor (Emeritus), Computer Science, Oregon State University

Correu electrònic verificat a cs.orst.edu - Pàgina d'inici

Machine Learning Computational Sustainability Artificial Intelligence Reinforcement Learning


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Ensemble methods in machine learning TG Dietterich International workshop on multiple classifier systems, 1-15, 2000	11430	2000
Approximate statistical tests for comparing supervised classification learning algorithms TG Dietterich Neural computation 10 (7), 1895-1923, 1998	4756	1998
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization TG Dietterich Machine learning 40, 139-157, 2000	4010	2000
Solving multiclass learning problems via error-correcting output codes TG Dietterich, G Bakiri Journal of artificial intelligence research 2, 263-286, 1994	3965	1994
Benchmarking neural network robustness to common corruptions and perturbations D Hendrycks, T Dietterich arXiv preprint arXiv:1903.12261, 2019	3955	2019
Solving the multiple instance problem with axis-parallel rectangles TG Dietterich, RH Lathrop, T Lozano-Pérez Artificial intelligence 89 (1-2), 31-71, 1997	3653	1997
Hierarchical reinforcement learning with the MAXQ value function decomposition TG Dietterich Journal of artificial intelligence research 13, 227-303, 2000	2233	2000
Machine-learning research: Four Current Directions TG Dietterich AI magazine 18 (4), 97, 1997	2187	1997
Deep anomaly detection with outlier exposure D Hendrycks, M Mazeika, T Dietterich arXiv preprint arXiv:1812.04606, 2018	1811	2018
Ensemble learning TG Dietterich The handbook of brain theory and neural networks 2 (1), 110-125, 2002	1358*	2002
The eBird enterprise: An integrated approach to development and application of citizen science BL Sullivan, JL Aycrigg, JH Barry, RE Bonney, N Bruns, CB Cooper, ... Biological conservation 169, 31-40, 2014	1150	2014
Overfitting and undercomputing in machine learning T Dietterich ACM computing surveys (CSUR) 27 (3), 326-327, 1995	1136	1995
A unifying review of deep and shallow anomaly detection L Ruff, JR Kauffmann, RA Vandermeulen, G Montavon, W Samek, M Kloft, ... Proceedings of the IEEE 109 (5), 756-795, 2021	1103	2021
Learning with many irrelevant features H Almuallim, TG Dietterich Oregon State University, 1991	1092	1991
Machine learning for sequential data: A review TG Dietterich Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2002	1021	2002
Pruning adaptive boosting DD Margineantu, TG Dietterich ICML 97, 211-218, 1997	833	1997
Understanding the psychology behind physician attitudes, behaviors, and engagement as the pathway to physician well-being AH Rosenstein Journal of Psychology & Clinical Psychiatry 5 (6), 1-3, 2016	762	2016
Learning boolean concepts in the presence of many irrelevant features H Almuallim, TG Dietterich Artificial intelligence 69 (1-2), 279-305, 1994	725	1994
A reinforcement learning approach to job-shop scheduling W Zhang, TG Dietterich Ijcai 95, 1114-1120, 1995	648	1995
Readings in machine learning J Shavlik, T Dietterich Morgan Kaufmann Publishers., 1990	640	1990

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