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Disability prediction in multiple sclerosis using performance outcome measures and demographic data., , , , , , , , , и 1 other автор(ы). CHIL, том 174 из Proceedings of Machine Learning Research, стр. 375-396. PMLR, (2022)Boosting the interpretability of clinical risk scores with intervention predictions., , , , , , , , , и 1 other автор(ы). CoRR, (2022)An immunogenic personal neoantigen vaccine for patients with melanoma, , , , , , , , , и 30 other автор(ы). Nature, 547 (7662): 217--221 (июля 2017)Discovering novel systemic biomarkers in photos of the external eye., , , , , , , , , и 9 other автор(ы). CoRR, (2022)Machine Learning for Dynamically Predicting the Onset of Renal Replacement Therapy in Chronic Kidney Disease Patients Using Claims Data., , и . AMAI@MICCAI, том 13540 из Lecture Notes in Computer Science, стр. 18-28. Springer, (2022)Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?, , , , , , , , , и 7 other автор(ы). CoRR, (2022)R2D: Learning Shadow Removal to Enhance Fine-Context Shadow Detection., , и . CoRR, (2021)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , и 30 other автор(ы). CoRR, (2020)Predicting Hyperkalemia in the ICU and Evaluation of Generalizability and Interpretability., , , , , и . CoRR, (2021)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , и 30 other автор(ы). J. Mach. Learn. Res., (2022)