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ROCAI 2004: Valencia, Spain
- José Hernández-Orallo, César Ferri, Nicolas Lachiche, Peter A. Flach:
ROC Analysis in Artificial Intelligence, 1st International Workshop, ROCAI-2004, Valencia, Spain, August 22, 2004. 2004 - Rich Caruana, Alexandru Niculescu-Mizil:
An Empirical Evaluation of Supervised Learning for ROC Area. ROCAI 2004: 1-8 - Rich Caruana, Alexandru Niculescu-Mizil:
Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria. ROCAI 2004: 9-18 - Chris Drummond, Robert C. Holte:
What ROC Curves Can't Do (and Cost Curves Can). ROCAI 2004: 19-26 - César Ferri, José Hernández-Orallo:
Cautious Classifiers. ROCAI 2004: 27-36 - Jonathan E. Fieldsend, Richard M. Everson:
ROC Optimisation of Safety Related Systems. ROCAI 2004: 37-44 - Michelle Jayne Fisher, Jonathan E. Fieldsend, Richard M. Everson:
Precision and Recall Optimisation for Information Access Tasks. ROCAI 2004: 45-54 - Branko Kavsek, Nada Lavrac, Ljupco Todorovski:
ROC Analysis of Example Weighting in Subgroup Discovery. ROCAI 2004: 55-60 - Sofus A. Macskassy, Foster J. Provost:
Confidence Bands for ROC Curves: Methods and an Empirical Study. ROCAI 2004: 61-70 - Alain Rakotomamonjy:
Optimizing Area Under Roc Curve with SVMs. ROCAI 2004: 71-80 - Mathieu Roche, Jérôme Azé, Yves Kodratoff, Michèle Sebag:
Learning Interestingness Measures in Terminology Extraction. A ROC-based approach. ROCAI 2004: 81-88 - Tobias Sing, Niko Beerenwinkel, Thomas Lengauer:
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve. ROCAI 2004: 89-96

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