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Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation.

, , , , , и . NeurIPS, стр. 23205-23217. (2021)

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Deep Generative Models for 3D Linker Design., , , и . J. Chem. Inf. Model., 60 (4): 1983-1995 (2020)Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation., , , , , и . NeurIPS, стр. 23205-23217. (2021)Self-Supervision Enhanced Feature Selection with Correlated Gates., , и . ICLR, OpenReview.net, (2022)Incorporating Target-Specific Pharmacophoric Information into Deep Generative Models for Fragment Elaboration., , , , и . J. Chem. Inf. Model., 62 (10): 2280-2292 (2022)Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare., , и . Nat. Mac. Intell., 5 (8): 824-829 (августа 2023)DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems., , и . CoRR, (2022)Composite Feature Selection using Deep Ensembles., , , и . CoRR, (2022)Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI., , и . CoRR, (2024)Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 19497-19521. PMLR, (2022)To Impute or not to Impute? - Missing Data in Treatment Effect Estimation., , , , и . CoRR, (2022)