An introduction to ROC analysis
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[1] Foster J. Provost,et al. Confidence Bands for Roc Curves , 2004, ROCAI.
[2] David J. Hand,et al. A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems , 2001, Machine Learning.
[3] Tom Fawcett,et al. Robust Classification for Imprecise Environments , 2000, Machine Learning.
[4] Filippo Neri,et al. Learning in the “Real World” , 1998, Machine Learning.
[5] Stan Matwin,et al. Machine Learning for the Detection of Oil Spills in Satellite Radar Images , 1998, Machine Learning.
[6] Tom Fawcett,et al. Adaptive Fraud Detection , 1997, Data Mining and Knowledge Discovery.
[7] R. .. Roberts. Repairing Concavities in ROC Curves , 2004 .
[8] Trevor P Martin,et al. UK Workshop on Computational Intelligence , 2003 .
[9] George Forman. A Method for Discovering the Insignificance of One's Best Classifier and the Unlearnability of a Classification Task , 2002 .
[10] Tom Fawcett,et al. Using rule sets to maximize ROC performance , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[11] Bianca Zadrozny,et al. Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers , 2001, ICML.
[12] J A Swets,et al. Better decisions through science. , 2000, Scientific American.
[13] Terran Lane,et al. Extensions of ROC Analysis to multi-class domains , 2000 .
[14] øöö Blockinøø. Well-Trained PETs : Improving Probability Estimation , 2000 .
[15] Pedro M. Domingos. MetaCost: a general method for making classifiers cost-sensitive , 1999, KDD '99.
[16] Ron Kohavi,et al. The Case against Accuracy Estimation for Comparing Induction Algorithms , 1998, ICML.
[17] Tom Fawcett,et al. Robust Classification Systems for Imprecise Environments , 1998, AAAI/IAAI.
[18] Tom Fawcett,et al. Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions , 1997, KDD.
[19] Andrew P. Bradley,et al. The use of the area under the ROC curve in the evaluation of machine learning algorithms , 1997, Pattern Recognit..
[20] Tom Fawcett,et al. Combining Data Mining and Machine Learning for Effective User Profiling , 1996, KDD.
[21] S. Clearwater,et al. A rule-learning program in high energy physics event classification , 1991 .
[22] David D. Lewis,et al. Evaluating Text Categorization I , 1991, HLT.
[23] David D. Lewis,et al. Representation Quality in Text Classification: An Introduction and Experiment , 1990, HLT.
[24] Kent A. Spackman,et al. Signal Detection Theory: Valuable Tools for Evaluating Inductive Learning , 1989, ML.
[25] J A Swets,et al. Measuring the accuracy of diagnostic systems. , 1988, Science.
[26] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[27] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[28] James P. Egan,et al. Signal detection theory and ROC analysis , 1975 .