Publications

Refereed Journal Papers

• Application of cost matrices and cost curves to enhance diagnostic health management
  metrics for gas turbine engines Craig Davison and Chris Drummond (2010)
  Journal of Engineering for Gas Turbines and Power 132(4) 041604 (8 pages) [PDF]
• Warning: Statistical benchmarking is addictive. Kicking the habit in machine learning
  Chris Drummond and Nathalie Japkowicz (2010)
  Journal of Experimental and Theoretical Artificial Intelligence 22 pp 67-80 [PDF]
• Cost Curves: An Improved Method for Visualizing Classifier Performance
  Chris Drummond and Robert C. Holte (2006)
  Machine Learning 65(1) pp 95-130 [PDF]
• Inferring and Revising Theories with Confidence: Analyzing the 1901 Canadian Census
  Chris Drummond, Stan Matwin and Chad Gaffield (2006)
  Applied Artificial Intelligence 20(1) pp 1-33 [PDF]
• Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks
  Chris Drummond (2002) Journal of Artificial Intelligence Research 16 pp 59-104 [PDF]
• A Learning Agent that Assists the Browsing of Software Libraries
  Chris Drummond, Dan Ionescu and Robert C. Holte (2000)
  I.E.E.E. Transactions on Software Engineering 26(12) pp 1179-1196 [PS]

Book Chapters

• Attribute, Class, Classification. Chris Drummond (2011)
  Chapters in Encyclopedia of Machine Learning Springer

Refereed Conference Papers

• Robustness of Classifiers to Changing Environments,
  Houman Abbasian, Chris Drummond, Nathalie Japkowicz and Stan Matwin (2010)
  Proceedings of the Canadian Conference on AI pp 232-243 [PDF]
• Improving bayesian learning using public knowledge
  Farid Seifi, Chris Drummond, Nathalie Japkowicz, and Stan Matwin (2010)
  Proceedings of the Canadian Conference on AI, pages 348–351 [PDF]
• Improved compressor maps using approximate solutions to the Moore-Greitzer model
  Chris Drummond and Craig Davison (2009)
  Proceedings of the ASME Turbo Expo, pages GT2009-60148 [PDF]
• Capturing the shape variance in gas turbine compressor maps
  Chris Drummond and Craig Davison (2009)
  Proceedings of the ASME Turbo Expo, pages GT2009-60141 [PDF]
• Application of cost matrices and cost curves to enhance diagnostic health management
  metrics for gas turbine engines Craig Davison and Chris Drummond (2009)
  Proceedings of the ASME Turbo Expo, pages GT2009-59630 [PDF]
• Reverse-Engineering Costs: How much will a Prognostic Algorithm save?
  Chris Drummond and Chunsheng Yang (2008) Proceedings of the International Conference
  on Prognostics and Health Management [PDF]
• Learning Multi-Dimensional Functions: Gas Turbine Engine Modeling
  Chris Drummond (2007) Proceedings of the Eleventh European Conference
  on the Principles and Practice of Knowledge Discovery in Databases LNAI 4702 pp 406-413 [PDF]
• Discriminative vs. Generative Classifiers for Cost Sensitive Learning.
  Chris Drummond (2006) Proceedings of the Nineteenth Canadian Conference
  on Artificial Intelligence LNAI 4013 pp 479-490 [PDF]
• Severe Class Imbalance: Why Better Algorithms Aren't the Answer
  Chris Drummond and Robert C. Holte (2005)
  Proceedings of the Sixteenth European Conference of Machine Learning LNAI 3720 pp 539-546[PDF]
• Iterative Semi-Supervised Learning: Helping the User to find the Right Records
  Chris Drummond (2004) Proceedings of the Seventeenth International Conference on
  Industrial and Engineering Applications of Artificial Intelligence and Expert Systems LNAI pp 1239-1248 [PDF]
• Explicitly Representing Expected Cost: An Alternative to ROC Representation
  Chris Drummond and Robert C. Holte (2000) Proceedings of the Sixth International Conference
  on Knowledge Discovery and Data Mining pp 198-207 [PDF]
• Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria
  Chris Drummond and Robert C. Holte (2000)
  Proceedings of the Seventeenth International Conference on Machine Learning pp 239-246 [PDF]
• Composing Functions to Speed up Reinforcement Learning in a Changing World
  Chris Drummond (1998) Proceedings of the Tenth European Conference
  on Machine Learning LNAI 1398 pp 370-381 [PDF]
• Using A Case-Base of Surfaces to Speed-Up Reinforcement Learning
  Chris Drummond (1997) Proceedings of the Second International Conference
  on Case-Based Reasoning LNAI 1266 pp 435-444 [PS]
• Searching With Abstractions: A Unifying Framework and New High-Performance Algorithm
  Robert C. Holte, Chris Drummond, M.B. Perez, R.M. Zimmer and A.J. MacDonald (1994)
  Proceedings of the Tenth Canadian Conference on Artificial Intelligence pp 263-270 [PS]
• Accelerating Browsing by Automatically Inferring a User's Search Goal.
  Chris Drummond, Robert C. Holte and Dan Ionescu (1993)
  Proceedings of the Eighth Knowledge-Based Software Engineering Conference pp 160-167 [PS]

Workshop Papers

• Replicability is not reproducibility: Nor is it good science
  Chris Drummond (2009) In Proceedings of the Twenty-Sixth International Conference on Machine Learning:
  Workshop on Evaluation Methods for Machine Learning IV (4 pages) [PDF]
• Finding a Balance between Anarchy and Orthodoxy
  Chris Drummond (2008) Proceedings of the Twenty-Fifth International Conference on Machine Learning:
  Workshop on Evaluation Methods for Machine Learning III (4 pages) [PDF]
• Cost-sensitive Classifier Evaluation Using Cost Curves
  Robert C. Holte and Chris Drummond (2008) Proceedings of the Pacific-Asia Conference
  on Knowledge Discovery and Data Mining (invited talk). [PDF]
• Workshop Report: AAAI-2007 Workshop on Evaluation Methods for Machine Learning II
  Chris Drummond, William Elamzeh, Nathalie Japkowicz, and Sofus A. Macskassy (2007) AI Magazine
• Workshop Report: AAAI-2006 Workshop on Evaluation Methods for Machine Learning
  Chris Drummond, William Elamzeh,and Nathalie Japkowicz(2007) AI Magazine
• Changing Failure Rates, Changing Costs: Choosing the Right Maintenance Policy
  Chris Drummond (2007) Proceedings of the AAAI Fall Symposium
  on Artificial Intelligence for Prognostic (3 pages) [PDF]
• Making Evaluation Robust but Robust to What?
  Chris Drummond (2007) Proceedings of the Twenty-Second National Conference
  on Artificial Intelligence: Workshop on Evaluation Methods for Machine Learning II
  AAAI Press Technical Report WS-07-05 pp 7-9 [PDF]
• Machine Learning as an Experimental Science (Revisited)
  Chris Drummond (2006) Proceedings of the Twenty-First National Conference
  on Artificial Intelligence: Workshop on Evaluation Methods for Machine Learning
  AAAI Press Technical Report WS-06-06 pp 1-5 [PDF]
• Learning to Live with False Alarms
  Chris Drummond and Robert C. Holte (2005) Proceedings of the Eleventh International Conference
  on Knowledge Discovery and Data Mining: Workshop on Data Mining Methods for Anomaly Detection (4 pages) [ PDF]
• What ROC Curves Can't Do (and Cost Curves Can)
  Chris Drummond and Robert C. Holte (2004) Proceedings of the Sixteenth European Conference
  on Artificial Intelligence: Workshop on ROC Analysis in AI (7 pages) [PS]
• C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling.
  Chris Drummond and Robert C. Holte (2003) Proceedings of the Twentieth International Conference
  on Machine Learning: Workshop on Learning from Imbalanced Data Sets (II) (8 pages) [PDF]
• Inferring and Revising Theories with Confidence: Data Mining the 1901 Canadian census
  Chris Drummond and Stan Matwin and Chad Gaffield (2002)
  Proceedings of the Fourteenth European Conference on Artificial Intelligence: Workshop on Mining Official Data, (12 pages) [PS]
• A Learning Apprentice for Browsing
  Robert C. Holte and Chris Drummond (1994) Proceedings of the 1994 AAAI Spring Symposium on Software Agents (5 pages) [PS]
• Speeding up Human Problem-Solving by Machine Learning
  Robert C. Holte and Chris Drummond (1993) Proceedings of the Tenth International Conference
  on Machine Learning: Workshop on Knowledge Compilation and Speedup Learning pp 86-89
• Automatic Goal Extraction from User Actions when Browsing Software Libraries.
  Chris Drummond, Dan Ionescu and Robert C. Holte (1992)
  Proceedings of the Canadian Conference on Electrical and Computer Engineering pp WA6.31.1-WA6.31.4 [PS]

Technical Reports

• Discriminative vs. Generative Classifiers: An In-Depth Experimental Comparison using Cost Curves
  Chris Drummond (2005) NRC/ERB-1135. December 2005. NRC 48480 (30 pages) [PDF]
• A Symbol's Role In Learning Low Level Control Functions
  Chris Drummond (1999) Ph.D. Thesis Computer Science Departmnet, University of Ottawa (226 pages) [PS.GZ]
• Preventing Overshoot of Splines with Application to Reinforcement Learning
  Chris Drummond (1996) Computer Science Department Technical Report TR-96-05 (7 pages) [PS]
• Automatic Goal Extraction From User Actions To Accelerate The Browsing Of Software Libraries
  Chris Drummond (1992) M.Sc. Thesis Electrical Engineering Department, University of Ottawa (142 pages) [PS.GZ]