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Personalized Input-Output Hidden Markov Models for Disease Progression Modeling., , , , , и . MLHC, том 126 из Proceedings of Machine Learning Research, стр. 309-330. PMLR, (2020)Modeling Disease Progression Trajectories from Longitudinal Observational Data., , , , , , , , , и . CoRR, (2020)DPVis: Visual Exploration of Disease Progression Pathways., , , , , , , и . CoRR, (2019)Phonetic training and language modeling for word spotting., , , , , и . ICASSP (2), стр. 459-462. IEEE Computer Society, (1993)Embracing Disease Progression with a Learning System for Real World Evidence Discovery., , , , , , , , и . ICIC (2), том 12464 из Lecture Notes in Computer Science, стр. 524-534. Springer, (2020)Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes., , , , , , и . AMIA, AMIA, (2020)Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology., , , , , , , и . AMIA, AMIA, (2020)Interactive Model Report Card for Visual Exploration of Performance Heterogeneity and Biases on Population Subgroups., , , , , , и . AMIA, AMIA, (2021)Disease network delineates the disease progression profile of cardiovascular diseases., , , , , и . J. Biomed. Informatics, (2021)Post-hoc loss-calibration for Bayesian neural networks., , , и . UAI, том 161 из Proceedings of Machine Learning Research, стр. 1403-1412. AUAI Press, (2021)