roc curve

Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No WACV 2020 Estimating weighted areas under the ROC curve NeurIPS 2020 PrivateEye: Scalable and Privacy-Preserving Compromise Detection in the Cloud NSDI 2020 Semi-Supervised Learning for Maximizing the Partial AUC AAAI 2020 Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds NeurIPS 2019 Bipartite Ranking: a Risk-Theoretic Perspective JMLR 2016 Precision-Recall-Gain Curves: PR Analysis Done Right NeurIPS 2015 Anomaly Ranking as Supervised Bipartite Ranking ICML 2014 Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses JMLR 2014 A Structural SVM Based Approach for Optimizing Partial AUC ICML 2013 Efficient Pedestrian Detection by Directly Optimizing the Partial Area under the ROC Curve ICCV 2013 Ranking Forests JMLR 2013 A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss JMLR 2012 Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions COLT 2012 On Equivalence Relationships Between Classification and Ranking Algorithms JMLR 2011 AUC optimization and the two-sample problem NeurIPS 2009 Margin-based Ranking and an Equivalence between AdaBoost and RankBoost JMLR 2009 Empirical performance maximization for linear rank statistics NeurIPS 2008 On Bootstrapping the ROC Curve NeurIPS 2008 Overlaying classifiers: a practical approach for optimal ranking NeurIPS 2008 Boosting the Area under the ROC Curve NeurIPS 2007 Optimal ROC Curve for a Combination of Classifiers NeurIPS 2007 Ranking the Best Instances JMLR 2007 Considering Cost Asymmetry in Learning Classifiers JMLR 2006 Generalization Bounds for the Area Under the ROC Curve JMLR 2005