ROCML 2006 Schedule



Opening Session : Medical imaging and statistical aspects



09:00    
Introduction


9:05-10:20
Invited Talk: ROC Analysis in Radiology: The State of the Art, and Recent N-Class Investigations
- Darrin Edwards, Department of Radiology, University of Chicago, USA


10:20-10:50
Resampling Methods for the Area Under the ROC Curve
- Andriy Bandos, University of Pittsburgh, USA
- Howard E. Rockette, University of Pittsburgh, USA
- D. Gur, University of Pittsburgh, USA


10:50-11:20
Coffee Break


11:20-11:50
Upper and Lower Bounds of Area Under ROC Curves and Index of Discriminability of Classifier Performance
- Shane T. Mueller, University of michigan, USA
- Jun Zhang, University of michigan, USA



Session 2: Extending ROC analysis




11:50-12:10
A Framework for Comparative Evaluation of Classifiers in the Presence of Class Imbalance
- William Elazmeh, University of Ottawa, Canada
- Nathalie Japkowicz, University of Ottawa, Canada
- Stan Matwin, University of Ottawa, Canada


12:10-12:35
Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters
- Alosio Carlos de Pina, Federal University of Rio de Janeiro,Brazil
- Gerson Zaverucha, Federal University of Rio de Janeiro,Brazil


12:35-14:05
Lunch


14:05-14:30
A Comparison of Different ROC Measures for Ordinal Regression
- Willem Waegeman, Ghent University, Belgium
- Bernard De Baets, Ghent University, Belgium
- Luc Boullart, Ghent University, Belgium


Session 3: Cost-sensitive and abstaining classifiers




14:30-14:55
Cost Curves for Abstaining Classifiers
- Caroline C. Friedel,Ludwig-Maximilians-Universitat Munchen, Germany
- Ulrich Ruckert, Technische Universitat Munchen, Germany
- Stefan Kramer, Technische Universitat Munchen, Germany


14:55-15:20
An Analysis of Reliable Classifiers through ROC Isometrics
- Stijn Vanderlooy, Universiteit Maastricht, The Netherlands
- Ida G. Sprinkhuizen-Kuyper, Universiteit Maastricht, The Netherlands
- Evgueni N. Smirnov, Universiteit Maastricht, The Netherlands


15:20-15:40
Estimating the Class Probability Threshold without Training Data
- Ricardo Blanco-Vega, Universidad Politecnica de Valencia, Spain
- Cesar Ferri, Universidad Politecnica de Valencia,Spain
- Jose Hernadez-Orallo, Universidad Politecnica de Valencia,Spain
- Maria Jose Ramirez-Quintana, Universidad Politecnica de Valencia,Spain


15:45-16:15
Coffee Break


16:15-16:35
New Algorithms for Optimizing Multi-Class Classifiers via ROC Surfaces
- Kun Deng, University of Nebraska Lincoln, USA
- Chris Bourke, University of Nebraska Lincoln, USA
- Stephen Scott, University of Nebraska Lincoln, USA
- N. V. Vinodchandran, University of Nebraska Lincoln, USA


16:35-17:30
Discussions