Thomas G. Dietterich
Orcid: 0000-0002-8223-8586Affiliations:
- Oregon State University, School of Electrical Engineering and Computer Science
According to our database1,
Thomas G. Dietterich
authored at least 195 papers
between 1979 and 2024.
Collaborative distances:
Collaborative distances:
Awards
ACM Fellow
ACM Fellow 2002, "For contributions to machine learning.".
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on twitter.com
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on orcid.org
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on id.loc.gov
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on dl.acm.org
On csauthors.net:
Bibliography
2024
CoRR, 2024
2023
Trans. Mach. Learn. Res., 2023
2022
Pattern Recognit., 2022
J. Mach. Learn. Res., 2022
Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target.
CoRR, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ACM Trans. Knowl. Discov. Data, 2020
Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 2020
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020
2019
ACM Trans. Knowl. Discov. Data, 2019
Frontiers Comput. Sci., 2019
Commun. ACM, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Anomaly detection in the presence of missing values for weather data quality control.
Proceedings of the Conference on Computing & Sustainable Societies, 2019
2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2018 AAAI Spring Symposia, 2018
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
J. Vis. Lang. Comput., 2017
J. Artif. Intell. Res., 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
J. Mach. Learn. Res., 2015
Letter to the Editor: Research Priorities for Robust and Beneficial Artificial Intelligence: An Open Letter.
AI Mag., 2015
Facilitating testing and debugging of Markov Decision Processes with interactive visualization.
Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing, 2015
Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology, 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
J. Mach. Learn. Res., 2014
Reconstructing Velocities of Migrating Birds from Weather Radar - A Case Study in Computational Sustainability.
AI Mag., 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
Approximate Bayesian Inference for Reconstructing Velocities of Migrating Birds from Weather Radar.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration.
ACM Trans. Intell. Syst. Technol., 2012
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 2012 International Green Computing Conference, 2012
2011
Spatiotemporal Models for Data-Anomaly Detection in Dynamic Environmental Monitoring Campaigns.
ACM Trans. Sens. Networks, 2011
ACM Trans. Intell. Syst. Technol., 2011
Proceedings of the 3rd Asian Conference on Machine Learning, 2011
AI Mag., 2011
Stacked spatial-pyramid kernel: An object-class recognition method to combine scores from random trees.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2011
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Proceedings of the Cyber Situational Awareness - Issues and Research, 2010
Proceedings of the Cyber Situational Awareness - Issues and Research, 2010
Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
A family of large margin linear classifiers and its application in dynamic environments.
Stat. Anal. Data Min., 2009
Int. J. Hum. Comput. Stud., 2009
Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009
Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009
Proceedings of the IJCAI 2009, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
Proceedings of the Advances in Machine Learning, 2009
2008
Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects.
Mach. Vis. Appl., 2008
Ann. Math. Artif. Intell., 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the Machine Learning, 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
Automated Insect Identification through Concatenated Histograms of Local Appearance Features.
Proceedings of the 8th IEEE Workshop on Applications of Computer Vision (WACV 2007), 2007
Proceedings of the UAI 2007, 2007
Proceedings of the 12th International Conference on Intelligent User Interfaces, 2007
Proceedings of the 12th International Conference on Intelligent User Interfaces, 2007
Proceedings of the IJCAI 2007, 2007
07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis.
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
Proceedings of the Algorithmic Learning Theory, 18th International Conference, 2007
Proceedings of the Interaction Challenges for Intelligent Assistants, 2007
2006
A hybrid learning system for recognizing user tasks from desktop activities and email messages.
Proceedings of the 11th International Conference on Intelligent User Interfaces, 2006
Proceedings of the 11th International Conference on Intelligent User Interfaces, 2006
A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
2005
J. Artif. Intell. Res., 2005
Proceedings of the UAI '05, 2005
Proceedings of the 10th International Conference on Intelligent User Interfaces, 2005
Proceedings of the Machine Learning, 2005
05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis.
Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005
05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis.
Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005
2004
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods.
J. Mach. Learn. Res., 2004
Proceedings of the Machine Learning, 2004
Proceedings of the Machine Learning, 2004
2003
Proceedings of the Machine Learning, 2003
2002
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002
Pruning Improves Heuristic Search for Cost-Sensitive Learning.
Proceedings of the Machine Learning, 2002
Action Refinement in Reinforcement Learning by Probability Smoothing.
Proceedings of the Machine Learning, 2002
A Multi-agent Architecture Integrating Learning and Fuzzy Techniques for Landmark-Based Robot Navigation.
Proceedings of the Topics in Artificial Intelligence, 5th Catalonian Conference on AI, 2002
2001
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
2000
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization.
Mach. Learn., 2000
J. Artif. Intell. Res., 2000
Proceedings of the Abstraction, 2000
Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
A Divide and Conquer Approach to Learning from Prior Knowledge.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Proceedings of the Algorithmic Learning Theory, 11th International Conference, 2000
1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
1998
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms.
Neural Comput., 1998
The MAXQ Method for Hierarchical Reinforcement Learning.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998
1997
Mach. Learn., 1997
Artif. Intell., 1997
Hierarchical Explanation-Based Reinforcement Learning.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997
Pruning Adaptive Boosting.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997
1996
Applying the Waek Learning Framework to Understand and Improve C4.5.
Proceedings of the Machine Learning, 1996
1995
An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms.
Mach. Learn., 1995
Mach. Learn., 1995
J. Artif. Intell. Res., 1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995
Proceedings of the Machine Learning, 1995
1994
Editorial: New Editorial Board Members.
Mach. Learn., 1994
J. Comput. Aided Mol. Des., 1994
Artif. Intell., 1994
1993
Proceedings of the Advances in Neural Information Processing Systems 6, 1993
Proceedings of the Advances in Neural Information Processing Systems 6, 1993
Proceedings of the Advances in Neural Information Processing Systems 6, 1993
1992
Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992
1991
Improving the Performance of Radial Basis Function Networks by Learning Center Locations.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991
Proceedings of the Eighth International Workshop (ML91), 1991
Proceedings of the Eighth International Workshop (ML91), 1991
Proceedings of the Trends in Artificial Intelligence, 1991
Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs.
Proceedings of the 9th National Conference on Artificial Intelligence, 1991
Proceedings of the 9th National Conference on Artificial Intelligence, 1991
1990
Proceedings of the Machine Learning, 1990
1989
What Good Are Experiments?.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989
Limitations on Inductive Learning.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989
1988
Artif. Intell. Eng. Des. Anal. Manuf., 1988
Proceedings of the 7th National Conference on Artificial Intelligence, 1988
1987
News and Notes.
Mach. Learn., 1987
Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987
1986
News and Notes.
Mach. Learn., 1986
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986
1985
1984
Proceedings of the National Conference on Artificial Intelligence. Austin, 1984
1981
Inductive Learning of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Methods.
Artif. Intell., 1981
1980
Proceedings of the 1st Annual National Conference on Artificial Intelligence, 1980
1979
Learning and Generalization of Characteristic Descriptions: Evaluation Criteria and Comparative Review of Selected Methods.
Proceedings of the Sixth International Joint Conference on Artificial Intelligence, 1979