Chris Drummond

37 papers A* 3B 1C 2Journal 12Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Manifold-Matching Autoencoders.
CoRR
Laurent Cheret, Vincent Létourneau, Isar Nejadgholi, Chris Drummond, Hussein Al Osman, Maia Fraser
2025 — conf
Stability Governor-guided RLMPC for Robot Manipulators.
CDC
Yufan Dai, Colin Bellinger, Yunli Wang, Chris Drummond, Yang Shi
2022 J jnl
Machine learning and reduced order computation of a friction stir welding model.
J. Comput. Phys.
Xiulei Cao, Kirk Fraser, Zilong Song, Chris Drummond, Huaxiong Huang
2019 J jnl
Is the drive for reproducible science having a detrimental effect on what is published?
Learn. Publ.
Chris Drummond
2018 — conf
An Incremental Machine Learning Algorithm for Nuclear Forensics.
Canadian AI
Chris Drummond
2018 J jnl
Reproducible research: a minority opinion.
J. Exp. Theor. Artif. Intell.
Chris Drummond
2017 — ch.
Attribute.
Encyclopedia of Machine Learning and Data Mining
Chris Drummond
2017 — ch.
Class.
Encyclopedia of Machine Learning and Data Mining
Chris Drummond
2017 — ch.
Classification.
Encyclopedia of Machine Learning and Data Mining
Chris Drummond
2013 — conf
Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm.
ECML/PKDD (3)
Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin
2011 J jnl
Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks
CoRR
Chris Drummond
2010 — ch.
Attribute.
Encyclopedia of Machine Learning
Chris Drummond
2010 — ch.
Class.
Encyclopedia of Machine Learning
Chris Drummond
2010 — ch.
Classification.
Encyclopedia of Machine Learning
Chris Drummond
2010 — conf
Improving Bayesian Learning Using Public Knowledge.
Canadian AI
Farid Seifi, Chris Drummond, Nathalie Japkowicz, Stan Matwin
2010 — conf
Robustness of Classifiers to Changing Environments.
Canadian AI
Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin
2010 J jnl
Warning: statistical benchmarking is addictive. Kicking the habit in machine learning.
J. Exp. Theor. Artif. Intell.
Chris Drummond, Nathalie Japkowicz
2009 A* conf
Workshop summary: The fourth workshop on evaluation methods for machine learning.
ICML
Chris Drummond, Nathalie Japkowicz, William Klement, Sofus A. Macskassy
2008 B conf
Cost-Sensitive Classifier Evaluation Using Cost Curves.
PAKDD
Robert C. Holte, Chris Drummond
2007 J jnl
AAAI-07 Workshop Reports.
AI Mag.
Sarabjot Singh Anand, Daniel Bahls, Catherina Burghart, Mark H. Burstein, Huajun Chen, John Collins, Thomas G. Dietterich, Jon Doyle, Chris Drummond, William Elazmeh, Christopher W. Geib, Judy Goldsmith, Hans W. Guesgen, Jim Hendler, Dietmar Jannach, Nathalie Japkowicz, Ulrich Junker, Gal A. Kaminka, Alfred Kobsa, Jérôme Lang, David B. Leake, Lundy Lewis, Gerard Ligozat, Sofus A. Macskassy, Drew V. McDermott, Ted Metzler, Bamshad Mobasher, Ullas Nambiar, Zaiqing Nie, Klas Orsvärn, Barry O'Sullivan, David V. Pynadath, Jochen Renz, Rita V. Rodríguez, Thomas Roth-Berghofer, Stefan Schulz, Rudi Studer, Yimin Wang, Michael P. Wellman
2007 — conf
Changing Failure Rates, Changing Costs: Choosing the Right Maintenance Policy.
AAAI Fall Symposium: Artificial Intelligence for Prognostics
Chris Drummond
2007 — conf
Learning Multi-dimensional Functions: Gas Turbine Engine Modeling.
PKDD
Chris Drummond
2006 J jnl
Cost curves: An improved method for visualizing classifier performance.
Mach. Learn.
Chris Drummond, Robert C. Holte
2006 — conf
Discriminative vs. Generative Classifiers for Cost Sensitive Learning.
Canadian AI
Chris Drummond
2006 J jnl
Inferring and revising theories with confidence: analyzing bilingualism in the 1901 canadian census.
Appl. Artif. Intell.
Chris Drummond, Stan Matwin, Chad Gaffield
2006 J jnl
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program.
AI Mag.
Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Douglas E. Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve J. Young, Dmitry Zelenko
2005 — conf
Severe Class Imbalance: Why Better Algorithms Aren't the Answer.
ECML
Chris Drummond, Robert C. Holte
2004 C conf
Iterative Semi-supervised Learning: Helping the User to Find the Right Records.
IEA/AIE
Chris Drummond
2004 — conf
What ROC Curves Can't Do (and Cost Curves Can).
ROCAI
Chris Drummond, Robert C. Holte
2002 J jnl
Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks.
J. Artif. Intell. Res.
Chris Drummond
2000 J jnl
A Learning Agent that Assists the Browsing of Software Libraries.
IEEE Trans. Software Eng.
Chris Drummond, Dan Ionescu, Robert C. Holte
2000 A* conf
Explicitly representing expected cost: an alternative to ROC representation.
KDD
Chris Drummond, Robert C. Holte
2000 A* conf
Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria.
ICML
Chris Drummond, Robert C. Holte
1998 — conf
Composing Functions to Speed up Reinforcement Learning in a Changing World.
ECML
Chris Drummond
1997 C conf
Using a Case Base of Surfaces to Speed-Up Reinforcement Learning.
ICCBR
Chris Drummond
1996 — conf
Intelligent Browsing for Multimedia Applications.
ICMCS
Chris Drummond, Dan Ionescu, Robert Holte, Nicolas D. Georganas, Emil M. Petriu
1993 — conf
Accelerating browsing by automatically inferring a user's search goal.
KBSE
Chris Drummond, Robert C. Holte, Dan Ionescu