Not Logged In

Publications by Drummond, Chris

In Journal (refereed)

1. C. Drummond, R. Holte. "Cost Curves: An Improved Method for Visualizing Classifier Performance". Machine Learning Journal (MLJ), 65(1), pp 95-130, October 2006. view
2. C. Drummond, D. Ionescu, R. Holte. "A Learning Agent That Assists the Browsing of Software Libraries". IEEE Transactions on Software Engineering, 26(12), pp 1179-1196, January 2000. PSview

In Conference (refereed)

3. C. Drummond, R. Holte. "Severe Class Imbalance: Why Better Algorithms Aren't the Answer". European Conference on Machine Learning (ECML), Porto, Portugal, pp 539-546, October 2005. PDFview
4. C. Drummond, R. Holte. "Explicitly Representing Expected Cost: An Alternative to ROC Representation". Knowledge Discovery and Datamining, -, pp 187-207, January 2000. view
5. C. Drummond, R. Holte. "Exploiting the Cost (In) Sensitivity of Decision Tree Splitting Criteria". International Conference on Machine Learning (ICML), Stanford University, pp 239-246, January 2000. PSview
6. R. Holte, C. Drummond. "A Learning Apprentice for Browsing". National Conference on Artificial Intelligence (AAAI), January 1995. view
7. R. Holte, C. Drummond, M. Perez, R. Zimmer, A. MacDonald. "Searching With Abstractions: A Unifying Framework and New High-Performance Algorithm". Canadian Conference on Artificial Intelligence (CAI), Banff, Canada, pp 263-270, January 1994. view
8. C. Drummond, R. Holte, D. Ionescu. "Accelerating Browsing by Automatically Inferring a User's Search Goal". KBSE, pp 160-167, January 1993. PDFview

In Workshop

9. C. Drummond, R. Holte. "Learning to Live With False Alarms". Workshop on "Data Mining Methods for Anomaly Detection", January 2005. view
10. C. Drummond, R. Holte. "C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling Beats Over-Sampling". Workshop on Learning from Imbalanced Datasets II, January 2003. view
University of Alberta Logo AICML Logo