Thomas Dietterich

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Prasad TadepalliProfessor of Computer Science, Oregon State UniversityPreverjeni e-poštni naslov na eecs.oregonstate.edu
Dan HendrycksDirector of the Center for AI Safety (advisor for xAI and Scale)Preverjeni e-poštni naslov na berkeley.edu
Jon HerlockerCEO Tignis, incPreverjeni e-poštni naslov na herlocker.org
David G. UllmanDavid Ullman LLC.Preverjeni e-poštni naslov na davidullman.com
Linda ShapiroProfessor of Computer Science & Engineering, University of WashingtonPreverjeni e-poštni naslov na cs.washington.edu
Richard H. LathropProfessor of Computer Science, University of California IrvinePreverjeni e-poštni naslov na uci.edu
Hussein AlmuallimPresident, FirmSoft TechnologiesPreverjeni e-poštni naslov na firmsofttech.com
Weng-Keen WongProfessor of Computer Science, Oregon State UniversityPreverjeni e-poštni naslov na eecs.oregonstate.edu
Tomas Lozano-PerezProfessor of Computer Science, MITPreverjeni e-poštni naslov na mit.edu
Nicholas S. FlannAssociate Professor of Computer Science, Utah State UniversityPreverjeni e-poštni naslov na usu.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinPreverjeni e-poštni naslov na cs.wisc.edu
David A. LytleOregon State UniversityPreverjeni e-poštni naslov na oregonstate.edu
Simone StumpfUniversity of GlasgowPreverjeni e-poštni naslov na glasgow.ac.uk
Dragos D MargineantuBoeing Research & TechnologyPreverjeni e-poštni naslov na boeing.com
Jianqiang ShenPalo Alto Research Center (PARC)Preverjeni e-poštni naslov na parc.com
Xiaoli FernOregon State UniversityPreverjeni e-poštni naslov na eecs.oregonstate.edu
Claire MontgomeryEmeritus Professor, Oregon State University, College of ForestryPreverjeni e-poštni naslov na oregonstate.edu
Janardhan Rao (Jana) DoppaHuie-Rogers Endowed Chair Associate Professor, Washington State UniversityPreverjeni e-poštni naslov na eecs.wsu.edu
Hongli Dengprincipal applied scientistPreverjeni e-poštni naslov na amazon.com
Daniel SheldonUniversity of Massachusetts AmherstPreverjeni e-poštni naslov na cs.umass.edu

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Thomas Dietterich

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

Preverjeni e-poštni naslov na cs.orst.edu - Domača stran

Machine Learning Computational Sustainability Artificial Intelligence Reinforcement Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Ensemble methods in machine learning TG Dietterich International workshop on multiple classifier systems, 1-15, 2000	11393	2000
Approximate statistical tests for comparing supervised classification learning algorithms TG Dietterich Neural computation 10 (7), 1895-1923, 1998	4749	1998
Benchmarking neural network robustness to common corruptions and perturbations D Hendrycks, T Dietterich arXiv preprint arXiv:1903.12261, 2019	4039	2019
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization TG Dietterich Machine learning 40, 139-157, 2000	3992	2000
Solving multiclass learning problems via error-correcting output codes TG Dietterich, G Bakiri Journal of artificial intelligence research 2, 263-286, 1994	3969	1994
Solving the multiple instance problem with axis-parallel rectangles TG Dietterich, RH Lathrop, T Lozano-Pérez Artificial intelligence 89 (1-2), 31-71, 1997	3666	1997
Hierarchical reinforcement learning with the MAXQ value function decomposition TG Dietterich Journal of artificial intelligence research 13, 227-303, 2000	2241	2000
Machine-learning research: Four Current Directions TG Dietterich AI magazine 18 (4), 97, 1997	2178	1997
Deep anomaly detection with outlier exposure D Hendrycks, M Mazeika, T Dietterich arXiv preprint arXiv:1812.04606, 2018	1835	2018
Ensemble learning TG Dietterich The handbook of brain theory and neural networks 2 (1), 110-125, 2002	1338	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	1156	2014
Overfitting and undercomputing in machine learning T Dietterich ACM computing surveys (CSUR) 27 (3), 326-327, 1995	1142	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	1126	2021
Learning with many irrelevant features H Almuallim, TG Dietterich Oregon State University, 1991	1086	1991
Machine learning for sequential data: A review TG Dietterich Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2002	1022	2002
Pruning adaptive boosting DD Margineantu, TG Dietterich ICML 97, 211-218, 1997	846	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	766	2016
Learning boolean concepts in the presence of many irrelevant features H Almuallim, TG Dietterich Artificial intelligence 69 (1-2), 279-305, 1994	720	1994
A reinforcement learning approach to job-shop scheduling W Zhang, TG Dietterich Ijcai 95, 1114-1120, 1995	647	1995
Readings in machine learning J Shavlik, T Dietterich Morgan Kaufmann Publishers., 1990	638	1990

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