Schedule

                "First Workshop on ROC Analysis in AI"

	         Valencia, Spain, 22 August, 2004

                           Room: 013


09:00-09:15 # Welcome

09:15-10:15 # Invited Talk: Peter Flach "Recent advances in Machine Learning applications of ROC analysis"

10:15-10:45 # Coffee Break  (ECAI coffee break 10:30-11:00)

10:45-12:00 # SESSION 1

                      What ROC Curves Can't Do (and Cost Curves Can)
                              Chris Drummond, Robert C. Holte

                      Confidence Bands for ROC Curves: Methods and an Empirical Study 
                              Sofus A. Macskassy, Foster Provost

                      An Empirical Analysis of the Relationship Between AUC and Eight 
                      Standard Supervised Learning Performance Criteria
                              Rich Caruana, Alexandru Niculescu-Mizil

12:00-12:15 # break

12:15-13:30 # SESSION 2
   
                      Interestingness measures based on supervised learning. Application 
                      to terminology extraction
                              Mathieu Roche, Jerome Aze, Yves Kodratoff, Michele Sebag

                      ROC Optimisation of Legacy Critical Systems
                              Jonathan E. Fieldsend and Richard M. Everson

                      Optimizing Area Under Roc Curve with SVMs
                              Alain Rakotomamonjy

13:30-15:00 # Lunch

15:00-16:15 # SESSION 3

                      Cautious Classifiers
                              C. Ferri, J. Hernandez-orallo

                      Precision and Recall Optimisation for Information Access Tasks
                              Michelle J. Fisher and Jonathan E. Fieldsend and Richard M. Everson

                      Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
                              Tobias Sing and Niko Beerenwinkel and Thomas Lengauer


16:15-16:35 # SESSION 4a
                      Presentation of 1st European Workshop on the Assessment of Diagnostic Performance

16:35-17:25 # SESSION 4b
                      ROC Analysis of Example Weighting in Subgroup Discovery
                              Branko Kavsek, Nada Lavrac and Ljupco Todorovski

                      An Empirical Evaluation of Supervised Learning for ROC Area
                              Rich Caruana, Alexandru Niculescu-Mizil

17:25-17:40 # Conclusions and discussion

17:40-18:00 # Coffee Break (ECAI coffee break 17:30-18:00)