Thomas Dietterich

Cited by

	All	Since 2019
Citations	64676	26385
h-index	90	52
i10-index	235	140

6000

3000

1500

4500

1988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024179 175 271 237 296 263 291 228 319 425 502 528 597 672 901 1038 1140 1300 1487 1656 1788 1935 1915 1915 2052 2095 2297 2378 2570 2653 3097 3482 4099 4880 5402 5699 2810

Public access

View all

25 articles

4 articles

available

not available

Based on funding mandates

Co-authors

Prasad TadepalliProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu
Jon HerlockerCEO Tignis, incVerified email at herlocker.org
Dan HendrycksDirector of the Center for AI SafetyVerified email at berkeley.edu
David G. UllmanDavid Ullman LLC.Verified email at davidullman.com
Linda ShapiroProfessor of Computer Science & Engineering, University of WashingtonVerified email at cs.washington.edu
Richard H. LathropProfessor of Computer Science, University of California IrvineVerified email at uci.edu
Hussein AlmuallimPresident, FirmSoft TechnologiesVerified email at firmsofttech.com
Weng-Keen WongProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu
Tomas Lozano-PerezProfessor of Computer Science, MITVerified email at mit.edu
Nicholas S. FlannAssociate Professor of Computer Science, Utah State UniversityVerified email at usu.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinVerified email at cs.wisc.edu
David A. LytleOregon State UniversityVerified email at oregonstate.edu
Simone StumpfUniversity of GlasgowVerified email at glasgow.ac.uk
Dragos D MargineantuBoeing Research & TechnologyVerified email at boeing.com
Jianqiang ShenPalo Alto Research Center (PARC)Verified email at parc.com
Xiaoli FernOregon State UniversityVerified email at eecs.oregonstate.edu
Janardhan Rao (Jana) DoppaHuie-Rogers Endowed Chair Associate Professor, Washington State UniversityVerified email at eecs.wsu.edu
Hongli Dengprincipal applied scientistVerified email at amazon.com
Claire MontgomeryEmeritus Professor, Oregon State University, College of ForestryVerified email at oregonstate.edu
Daniel SheldonUniversity of Massachusetts AmherstVerified email at cs.umass.edu

Thomas Dietterich

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

Verified email at cs.orst.edu - Homepage

Machine Learning Computational Sustainability Artificial Intelligence Reinforcement Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Ensemble methods in machine learning TG Dietterich International workshop on multiple classifier systems, 1-15, 2000	10585	2000
Approximate statistical tests for comparing supervised classification learning algorithms TG Dietterich Neural computation 10 (7), 1895-1923, 1998	4547	1998
Solving multiclass learning problems via error-correcting output codes TG Dietterich, G Bakiri Journal of artificial intelligence research 2, 263-286, 1994	3908	1994
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization TG Dietterich Machine learning 40, 139-157, 2000	3865	2000
Solving the multiple instance problem with axis-parallel rectangles TG Dietterich, RH Lathrop, T Lozano-Pérez Artificial intelligence 89 (1-2), 31-71, 1997	3500	1997
Benchmarking neural network robustness to common corruptions and perturbations D Hendrycks, T Dietterich arXiv preprint arXiv:1903.12261, 2019	3324	2019
Machine-learning research: Four Current Directions TG Dietterich AI magazine 18 (4), 97, 1997	2151	1997
Hierarchical reinforcement learning with the MAXQ value function decomposition TG Dietterich Journal of artificial intelligence research 13, 227-303, 2000	2120	2000
Deep anomaly detection with outlier exposure D Hendrycks, M Mazeika, T Dietterich arXiv preprint arXiv:1812.04606, 2018	1557	2018
Ensemble learning TG Dietterich The handbook of brain theory and neural networks 2 (1), 110-125, 2002	1256*	2002
Learning with many irrelevant features H Almuallim, TG Dietterich Oregon State University, 1991	1080	1991
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	1021	2014
Overfitting and undercomputing in machine learning T Dietterich ACM computing surveys (CSUR) 27 (3), 326-327, 1995	1011	1995
Machine learning for sequential data: A review TG Dietterich Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2002	982	2002
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	865	2021
Pruning adaptive boosting DD Margineantu, TG Dietterich ICML 97, 211-218, 1997	807	1997
To transfer or not to transfer MT Rosenstein, Z Marx, LP Kaelbling, TG Dietterich NIPS 2005 workshop on transfer learning 898 (3), 4, 2005	720	2005
Learning boolean concepts in the presence of many irrelevant features H Almuallim, TG Dietterich Artificial intelligence 69 (1-2), 279-305, 1994	712	1994
Readings in machine learning J Shavlik, T Dietterich Morgan Kaufmann Publishers., 1990	626	1990
A reinforcement learning approach to job-shop scheduling W Zhang, TG Dietterich Ijcai 95, 1114-1120, 1995	625	1995

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors