ROCAI 2004: Valencia, Spain

@proceedings{DBLP:conf/rocai/2004,
  editor    = {Jos{\'e} Hern{\'a}ndez-Orallo and
               C{\'e}sar Ferri and
               Nicolas Lachiche and
               Peter A. Flach},
  title     = {ROC Analysis in Artificial Intelligence, 1st International Workshop,
               ROCAI-2004, Valencia, Spain, August 22, 2004},
  booktitle = {ROCAI},
  year      = {2004},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

• Rich Caruana, Alexandru Niculescu-Mizil: An Empirical Evaluation of Supervised Learning for ROC Area. 1-8
• Rich Caruana, Alexandru Niculescu-Mizil: Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria. 9-18
• Chris Drummond, Robert C. Holte: What ROC Curves Can't Do (and Cost Curves Can). 19-26
• César Ferri, José Hernández-Orallo: Cautious Classifiers. 27-36
• Jonathan E. Fieldsend, Richard M. Everson: ROC Optimisation of Safety Related Systems. 37-44
• Michelle Fisher, Jonathan E. Fieldsend, Richard M. Everson: Precision and Recall Optimisation for Information Access Tasks. 45-54
• Branko Kavsek, Nada Lavrac, Ljupco Todorovski: ROC Analysis of Example Weighting in Subgroup Discovery. 55-60
• Sofus A. Macskassy, Foster J. Provost: Confidence Bands for ROC Curves: Methods and an Empirical Study. 61-70
• Alain Rakotomamonjy: Optimizing Area Under Roc Curve with SVMs. 71-80
• Mathieu Roche, Jérôme Azé, Yves Kodratoff, Michèle Sebag: Learning Interestingness Measures in Terminology Extraction. A ROC-based approach. 81-88
• Tobias Sing, Niko Beerenwinkel, Thomas Lengauer: Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve. 89-96

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