Thomas Dietterich

Citata da

	Tutte	Dal 2018
Citazioni	60735	25948
Indice H	89	52
i10-index	235	146

6000

3000

1500

4500

198819891990199119921993199419951996199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023177 182 271 228 289 257 292 221 321 392 502 531 585 670 895 1036 1122 1297 1482 1642 1746 1907 1910 1894 2060 2078 2271 2342 2543 2633 3053 3429 4103 4831 5346 5151

Accesso pubblico

Visualizza tutto

25 articoli

4 articoli

Disponibili

Non disponibili

In base ai mandati di finanziamento

Coautori

Prasad TadepalliProfessor of Computer Science, Oregon State UniversityEmail verificata su eecs.oregonstate.edu
Jon HerlockerCEO Tignis, incEmail verificata su herlocker.org
David G. UllmanDavid Ullman LLC.Email verificata su davidullman.com
Dan HendrycksDirector of the Center for AI SafetyEmail verificata su berkeley.edu
Linda ShapiroProfessor of Computer Science & Engineering, University of WashingtonEmail verificata su cs.washington.edu
Hussein AlmuallimPresident, FirmSoft TechnologiesEmail verificata su firmsofttech.com
Richard H. LathropProfessor of Computer Science, University of California IrvineEmail verificata su uci.edu
Weng-Keen WongProfessor of Computer Science, Oregon State UniversityEmail verificata su eecs.oregonstate.edu
Tomas Lozano-PerezProfessor of Computer Science, MITEmail verificata su mit.edu
Nicholas S. FlannAssociate Professor of Computer Science, Utah State UniversityEmail verificata su usu.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinEmail verificata su cs.wisc.edu
David A. LytleOregon State UniversityEmail verificata su oregonstate.edu
Simone StumpfUniversity of GlasgowEmail verificata su glasgow.ac.uk
Jianqiang ShenPalo Alto Research Center (PARC)Email verificata su parc.com
Xiaoli FernOregon State UniversityEmail verificata su eecs.oregonstate.edu
Janardhan Rao (Jana) DoppaHuie-Rogers Endowed Chair Associate Professor, Washington State UniversityEmail verificata su eecs.wsu.edu
Dragos D MargineantuBoeing Research & TechnologyEmail verificata su boeing.com
Hongli Dengprincipal researcherEmail verificata su microsoft.com
Claire MontgomeryEmeritus Professor, Oregon State University, College of ForestryEmail verificata su oregonstate.edu
Daniel SheldonUniversity of Massachusetts AmherstEmail verificata su cs.umass.edu

Segui

Thomas Dietterich

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

Email verificata su cs.orst.edu - Home page

Machine Learning Computational Sustainability Artificial Intelligence Reinforcement Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Ensemble methods in machine learning TG Dietterich International workshop on multiple classifier systems, 1-15, 2000	9928	2000
Approximate statistical tests for comparing supervised classification learning algorithms TG Dietterich Neural computation 10 (7), 1895-1923, 1998	4398	1998
Solving multiclass learning problems via error-correcting output codes TG Dietterich, G Bakiri Journal of artificial intelligence research 2, 263-286, 1994	3857	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	3742	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	3368	1997
Benchmarking neural network robustness to common corruptions and perturbations D Hendrycks, T Dietterich arXiv preprint arXiv:1903.12261, 2019	2706	2019
Machine-learning research: Four Current Directions TG Dietterich AI magazine 18 (4), 97, 1997	2146	1997
Hierarchical reinforcement learning with the MAXQ value function decomposition TG Dietterich Journal of artificial intelligence research 13, 227-303, 2000	2043	2000
Deep anomaly detection with outlier exposure D Hendrycks, M Mazeika, T Dietterich arXiv preprint arXiv:1812.04606, 2018	1279	2018
Learning with many irrelevant features H Almuallim, TG Dietterich Oregon State University, 1991	1082	1991
Ensemble learning TG Dietterich The handbook of brain theory and neural networks 2 (1), 110-125, 2002	1052	2002
Machine learning for sequential data: A review TG Dietterich Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2002	950	2002
Overfitting and undercomputing in machine learning T Dietterich ACM computing surveys (CSUR) 27 (3), 326-327, 1995	919	1995
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	915	2014
Pruning adaptive boosting DD Margineantu, TG Dietterich ICML 97, 211-218, 1997	784	1997
Learning boolean concepts in the presence of many irrelevant features H Almuallim, TG Dietterich Artificial intelligence 69 (1-2), 279-305, 1994	705	1994
To transfer or not to transfer MT Rosenstein, Z Marx, LP Kaelbling, TG Dietterich NIPS 2005 workshop on transfer learning 898 (3), 2005	686	2005
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	667	2021
A reinforcement learning approach to job-shop scheduling W Zhang, TG Dietterich IJCAI 95, 1114-1120, 1995	619	1995
Readings in machine learning J Shavlik, T Dietterich Morgan Kaufmann Publishers., 1990	612*	1990

Il sistema al momento non può eseguire l'operazione. Riprova più tardi.

Articoli 1–20

Citazioni per anno

Citazioni duplicate

Citazioni unite

Aggiungi coautoriCoautori

Segui

Citata da

Coautori