Chris Drummond

Publication Activity (10 Years)

Years Active: 1993-2022
Publications (10 Years): 4

Top Topics

Drifting Concepts

Machine Learning

Learning Algorithm

Top Venues

Canadian Conference on AI

J. Comput. Phys.

Publications

Xiulei Cao, Kirk Fraser, Zilong Song, Chris Drummond, Huaxiong Huang
Machine learning and reduced order computation of a friction stir welding model. J. Comput. Phys. 454 (2022)
Chris Drummond
Is the drive for reproducible science having a detrimental effect on what is published? Learn. Publ. 32 (1) (2019)
Chris Drummond
An Incremental Machine Learning Algorithm for Nuclear Forensics. Canadian Conference on AI (2018)
Chris Drummond
Reproducible research: a minority opinion. J. Exp. Theor. Artif. Intell. 30 (1) (2018)
Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin
Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm. ECML/PKDD (3) (2013)
Chris Drummond
Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks CoRR (2011)
Chris Drummond, Nathalie Japkowicz
Warning: statistical benchmarking is addictive. Kicking the habit in machine learning. J. Exp. Theor. Artif. Intell. 22 (1) (2010)
Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin
Robustness of Classifiers to Changing Environments. Canadian Conference on AI (2010)
Farid Seifi, Chris Drummond, Nathalie Japkowicz, Stan Matwin
Improving Bayesian Learning Using Public Knowledge. Canadian Conference on AI (2010)
Chris Drummond, Nathalie Japkowicz, William Klement, Sofus A. Macskassy
Workshop summary: The fourth workshop on evaluation methods for machine learning. ICML (2009)
Robert C. Holte, Chris Drummond
Cost-Sensitive Classifier Evaluation Using Cost Curves. PAKDD (2008)
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
AAAI-07 Workshop Reports. AI Mag. 28 (4) (2007)
Chris Drummond
Changing Failure Rates, Changing Costs: Choosing the Right Maintenance Policy. AAAI Fall Symposium: Artificial Intelligence for Prognostics (2007)
Chris Drummond
Learning Multi-dimensional Functions: Gas Turbine Engine Modeling. PKDD (2007)
Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Doug 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
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Mag. 27 (4) (2006)
Chris Drummond, Robert C. Holte
Cost curves: An improved method for visualizing classifier performance. Mach. Learn. 65 (1) (2006)
Chris Drummond
Discriminative vs. Generative Classifiers for Cost Sensitive Learning. Canadian Conference on AI (2006)
Chris Drummond, Stan Matwin, Chad Gaffield
Inferring and revising theories with confidence: analyzing bilingualism in the 1901 canadian census. Appl. Artif. Intell. 20 (1) (2006)
Chris Drummond, Robert C. Holte
Severe Class Imbalance: Why Better Algorithms Aren't the Answer. ECML (2005)
Chris Drummond
Iterative Semi-supervised Learning: Helping the User to Find the Right Records. IEA/AIE (2004)
Chris Drummond, Robert C. Holte
What ROC Curves Can't Do (and Cost Curves Can). ROCAI (2004)
Chris Drummond
Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks. J. Artif. Intell. Res. 16 (2002)
Chris Drummond, Dan Ionescu, Robert C. Holte
A Learning Agent that Assists the Browsing of Software Libraries. IEEE Trans. Software Eng. 26 (12) (2000)
Chris Drummond, Robert C. Holte
Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria. ICML (2000)
Chris Drummond, Robert C. Holte
Explicitly representing expected cost: an alternative to ROC representation. KDD (2000)
Chris Drummond
Composing Functions to Speed up Reinforcement Learning in a Changing World. ECML (1998)
Chris Drummond
Using a Case Base of Surfaces to Speed-Up Reinforcement Learning. ICCBR (1997)
Chris Drummond, Dan Ionescu, Robert Holte, Nicolas D. Georganas, Emil M. Petriu
Intelligent Browsing for Multimedia Applications. ICMCS (1996)
Chris Drummond, Robert C. Holte, Dan Ionescu
Accelerating browsing by automatically inferring a user's search goal. KBSE (1993)