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Look beyond labels: Incorporating functional summary information in Bayesian neural networks.

, , , and . CoRR, (2022)

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Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention., , , , , and . ML4H@NeurIPS, volume 116 of Proceedings of Machine Learning Research, page 93-111. PMLR, (2019)Deep Learning for Depression Recognition with Audiovisual Cues: A Review., , , , , , , , , and 2 other author(s). CoRR, (2021)Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning., and . CoRR, (2021)Bayesian learning of graphical vector autoregressions with unequal lag-lengths., and . Mach. Learn., 75 (2): 217-243 (2009)Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series., and . ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 461-479. PMLR, (2023)Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets., , , , , , , and . IUI, page 547-552. ACM, (2017)Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation., , and . UAI, volume 124 of Proceedings of Machine Learning Research, page 779-788. AUAI Press, (2020)Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition., , , , , , , and . ECML/PKDD (6), volume 14174 of Lecture Notes in Computer Science, page 444-459. Springer, (2023)Multitask Recalibrated Aggregation Network for Medical Code Prediction., , , and . ECML/PKDD (4), volume 12978 of Lecture Notes in Computer Science, page 367-383. Springer, (2021)Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation, , and . (2019)cite arxiv:1910.06121.