ICML 2003 Workshop Schedule

Learning from Imbalanced Data Sets II

Workshop Schedule

9:00-10:40: Session 1

9:00-9:05: Opening Remarks

9:05-9:45: Foster Provost, Invited Talk: Choosing a marginal class distribution for classifier induction

9:45-10:00: Chris Drummond, C4.5, Class Imbalance, and Cost Sensitivity: Why Undersampling beats Over-Sampling

10:00-10:15: Nitesh Chawla, C4.5 and Imbalanced Datasets: Investigating the effect of sampling method, probalistic estimate, and decision tree structure

10:15-10:30: Nathalie Japkowicz, Class Imbalances: Are we Focusing on the Right Issue?

10:30-10:40: Discussion

10:40-11:00: MORNING BREAK

11:00-12:20: Session 2

11:00-11:35: Charles Elkan, Invited Talk: The Real Challenges in Data Mining: A Contrarian View

11:35-11:50: Aleksander Kolcz, Data Duplication: an Imbalance Problem?

11:50-12:05: Zhaohui Zheng, An Optimal Feature Selection Combining Positive and Negative Features for Text Categorization

12:05-12:20: Jianping Zhang, NN Approach to Unbalanced Data Distributions: A Case Study involving Information Extraction

12:20-12:30: Discussion

12:30-2:00: LUNCH BREAK

2:00-3:30: Session 3

2:00-2:35: Naoki Abe, Invited Talk, Sampling approaches to learning from imbalanced datasets: active learning, cost sensitive learning and beyond ( summary , presentation )
2:35-2:50: Gang Wu, Class-Boundary Alignment for Imbalanced Dataset Learning
2:50-3:05: Bhavani Raskutti, Extreme Re-balancing for SVM's: a case study
3:05-3:20: Ronald Pearson, Imbalanced Clustering of Microarray Time-Series

3:20-3:30: Discussion

3:30-4:00: AFTERNOON BREAK

4:00-5:30: Session 4

4:00-4:10: Marcus Maloof, Learning When Data Sets are Imbalanced and When Costs are Unequal and Unknown

4:10-4:20: Piotr Juszczak, Robert P.W. Duin, Uncertainty sampling methods for one-class classifiers

4:20-4:30: Ray Hickey, Learning Rare Class Footprints: the REFLEX Algorithm

4:30-4:40: Sofia Visa, Anca Ralescu, Learning Imbalanced and Overlapping Classes using Fuzzy Sets

4:40-5:30: Closing Discussion/Panel