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Boosting the interpretability of clinical risk scores with intervention predictions., , , , , , , , , and 1 other author(s). CoRR, (2022)Disability prediction in multiple sclerosis using performance outcome measures and demographic data., , , , , , , , , and 1 other author(s). CHIL, volume 174 of Proceedings of Machine Learning Research, page 375-396. PMLR, (2022)An immunogenic personal neoantigen vaccine for patients with melanoma, , , , , , , , , and 30 other author(s). Nature, 547 (7662): 217--221 (July 2017)Discovering novel systemic biomarkers in photos of the external eye., , , , , , , , , and 9 other author(s). CoRR, (2022)Machine Learning for Dynamically Predicting the Onset of Renal Replacement Therapy in Chronic Kidney Disease Patients Using Claims Data., , and . AMAI@MICCAI, volume 13540 of Lecture Notes in Computer Science, page 18-28. Springer, (2022)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , and 30 other author(s). CoRR, (2020)Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?, , , , , , , , , and 7 other author(s). CoRR, (2022)R2D: Learning Shadow Removal to Enhance Fine-Context Shadow Detection., , and . CoRR, (2021)Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries., , , , , , , , , and 14 other author(s). CoRR, (2021)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , and 30 other author(s). J. Mach. Learn. Res., (2022)