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2020 – today
- 2022
[j11]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: 110863 (2022)
2010 – 2019
- 2019
- [j10]Chris Drummond:
Is the drive for reproducible science having a detrimental effect on what is published? Learn. Publ. 32(1): 63-69 (2019) - 2018
- [j9]Chris Drummond:
Reproducible research: a minority opinion. J. Exp. Theor. Artif. Intell. 30(1): 1-11 (2018) - [j8]Colin Bellinger, Christopher Drummond, Nathalie Japkowicz:
Manifold-based synthetic oversampling with manifold conformance estimation. Mach. Learn. 107(3): 605-637 (2018) - [c20]Chris Drummond:
An Incremental Machine Learning Algorithm for Nuclear Forensics. Canadian AI 2018: 194-207 - 2017
- [r6]Chris Drummond:
Attribute. Encyclopedia of Machine Learning and Data Mining 2017: 73-75 - [r5]Chris Drummond:
Class. Encyclopedia of Machine Learning and Data Mining 2017: 202-203 - [r4]Chris Drummond:
Classification. Encyclopedia of Machine Learning and Data Mining 2017: 205-208 - 2016
- [c19]Colin Bellinger, Christopher Drummond, Nathalie Japkowicz:
Beyond the Boundaries of SMOTE - A Framework for Manifold-Based Synthetically Oversampling. ECML/PKDD (1) 2016: 248-263 - [e1]Richard Khoury, Christopher Drummond:
Advances in Artificial Intelligence - 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, Victoria, BC, Canada, May 31 - June 3, 2016. Proceedings. Lecture Notes in Computer Science 9673, Springer 2016, ISBN 978-3-319-34110-1 [contents] - 2015
- [c18]Colin Bellinger, Nathalie Japkowicz, Christopher Drummond:
Synthetic Oversampling for Advanced Radioactive Threat Detection. ICMLA 2015: 948-953 - 2013
- [c17]Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin:
Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm. ECML/PKDD (3) 2013: 33-48 - 2011
- [i1]Chris Drummond:
Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks. CoRR abs/1106.1796 (2011) - 2010
- [j7]Chris Drummond, Nathalie Japkowicz:
Warning: statistical benchmarking is addictive. Kicking the habit in machine learning. J. Exp. Theor. Artif. Intell. 22(1): 67-80 (2010) - [c16]Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin:
Robustness of Classifiers to Changing Environments. Canadian AI 2010: 232-243 - [c15]Farid Seifi, Chris Drummond, Nathalie Japkowicz, Stan Matwin:
Improving Bayesian Learning Using Public Knowledge. Canadian AI 2010: 348-351 - [r3]Chris Drummond:
Attribute. Encyclopedia of Machine Learning 2010: 51-53 - [r2]Chris Drummond:
Class. Encyclopedia of Machine Learning 2010: 166-171 - [r1]Chris Drummond:
Classification. Encyclopedia of Machine Learning 2010: 171
2000 – 2009
- 2009
- [c14]Chris Drummond, Nathalie Japkowicz, William Klement, Sofus A. Macskassy:
Workshop summary: The fourth workshop on evaluation methods for machine learning. ICML 2009: 7 - 2008
- [c13]Robert C. Holte, Chris Drummond:
Cost-Sensitive Classifier Evaluation Using Cost Curves. PAKDD 2008: 26-29 - 2007
- [j6]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): 119-128 (2007) - [c12]Chris Drummond:
Changing Failure Rates, Changing Costs: Choosing the Right Maintenance Policy. AAAI Fall Symposium: Artificial Intelligence for Prognostics 2007: 33-35 - [c11]Chris Drummond:
Learning Multi-dimensional Functions: Gas Turbine Engine Modeling. PKDD 2007: 406-413 - 2006
- [j5]Chris Drummond, Stan Matwin, Chad Gaffield:
Inferring and revising theories with confidence: analyzing bilingualism in the 1901 canadian census. Appl. Artif. Intell. 20(1): 1-33 (2006) - [j4]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:
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Mag. 27(4): 92-102 (2006) - [j3]Chris Drummond, Robert C. Holte:
Cost curves: An improved method for visualizing classifier performance. Mach. Learn. 65(1): 95-130 (2006) - [c10]Chris Drummond:
Discriminative vs. Generative Classifiers for Cost Sensitive Learning. Canadian AI 2006: 479-490 - 2005
- [c9]Chris Drummond, Robert C. Holte:
Severe Class Imbalance: Why Better Algorithms Aren't the Answer. ECML 2005: 539-546 - 2004
- [c8]Chris Drummond:
Iterative Semi-supervised Learning: Helping the User to Find the Right Records. IEA/AIE 2004: 1239-1248 - [c7]Chris Drummond, Robert C. Holte:
What ROC Curves Can't Do (and Cost Curves Can). ROCAI 2004: 19-26 - 2002
- [j2]Chris Drummond:
Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks. J. Artif. Intell. Res. 16: 59-104 (2002) - 2000
- [j1]Chris Drummond, Dan Ionescu, Robert C. Holte:
A Learning Agent that Assists the Browsing of Software Libraries. IEEE Trans. Software Eng. 26(12): 1179-1196 (2000) - [c6]Chris Drummond, Robert C. Holte:
Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria. ICML 2000: 239-246 - [c5]Chris Drummond, Robert C. Holte:
Explicitly representing expected cost: an alternative to ROC representation. KDD 2000: 198-207
1990 – 1999
- 1998
- [c4]Chris Drummond:
Composing Functions to Speed up Reinforcement Learning in a Changing World. ECML 1998: 370-381 - 1997
- [c3]Chris Drummond:
Using a Case Base of Surfaces to Speed-Up Reinforcement Learning. ICCBR 1997: 435-444 - 1996
- [c2]Chris Drummond, Dan Ionescu, Robert Holte, Nicolas D. Georganas, Emil M. Petriu:
Intelligent Browsing for Multimedia Applications. ICMCS 1996: 386-389 - 1993
- [c1]Chris Drummond, Robert C. Holte, Dan Ionescu:
Accelerating browsing by automatically inferring a user's search goal. KBSE 1993: 160-167
Coauthor Index
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