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Monitoring machine learning-based risk prediction algorithms in the presence of performativity., , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 919-927. PMLR, (2024)Deciphering deep ensembles for lung nodule analysis., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Decision region analysis to deconstruct the subgroup influence on AI/ML predictions., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study., , , , , , , , , and . CoRR, (2023)Is this model reliable for everyone? Testing for strong calibration., , , , , and . CoRR, (2023)Is this model reliable for everyone? Testing for strong calibration., , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 181-189. PMLR, (2024)Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions., , , , , and . CoRR, (2022)Sequential algorithmic modification with test data reuse., , , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 674-684. PMLR, (2022)The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models., , , , , , , , , and 193 other author(s). Nat Biotechnol, 28 (8): 827--838 (August 2010)Uncertainty estimation with a finite dataset in the assessment of classification models., , , , , , , , and . Comput. Stat. Data Anal., 56 (5): 1016-1027 (2012)