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classifier evaluation

18 papers

Papers

Bringing Pedagogy into Focus: Evaluating Virtual Teaching Assistants’ Question-Answering in Asynchronous Learning Environments EMNLP 2025 Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels AISTATS 2025 Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers ACL 2023 Statistical Comparisons of Classifiers by Generalized Stochastic Dominance JMLR 2023 Stop Measuring Calibration When Humans Disagree EMNLP 2022 Active Bayesian Assessment of Black-Box Classifiers AAAI 2021 Recalibrating classifiers for interpretable abusive content detection EMNLP 2020 $β^3$-IRT: A New Item Response Model and its Applications AISTATS 2019 Cold Case: The Lost MNIST Digits NeurIPS 2019 Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward AAAI 2019 An Active Search Strategy for Efficient Object Class Detection CVPR 2015 A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration CVPR 2013 Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012 Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011 Permutation Tests for Studying Classifier Performance JMLR 2010 Model Monitor (M2): Evaluating, Comparing, and Monitoring Models JMLR 2009 An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons JMLR 2008 Statistical Comparisons of Classifiers over Multiple Data Sets JMLR 2006