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Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

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Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification

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Beyond sigmoids: How to obtain well-calibrated probabilities from binary classifiers with beta calibration

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PAV and the ROC convex hull

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Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance

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Protecting against evaluation overfitting in empirical reinforcement learning

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Multidimensional variability in ecological assessments predicts two clusters of suicidal patients.

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Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk Prediction

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Breakdown of Machine Learning Algorithms

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Interpretable Machine Learning Assessment

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Application of Machine Learning in Animal Disease Analysis and Prediction

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Machine Learning Techniques for the Management of Diseases: A Paper Review

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