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Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals.

, , and . MLHC, volume 219 of Proceedings of Machine Learning Research, page 321-342. PMLR, (2023)

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Improving Dialogue Breakdown Detection with Semi-Supervised Learning., , , , and . CoRR, (2020)Learning from Few Subjects with Large Amounts of Voice Monitoring Data., , , , , and . MLHC, volume 106 of Proceedings of Machine Learning Research, page 704-720. PMLR, (2019)Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data., , , , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 8 (1): 31:1-31:32 (March 2024)Do no harm: a roadmap for responsible machine learning for health care, , , , , , , , , and 3 other author(s). Nature Medicine, 25 (9): 1337--1340 (2019)Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation., , , , , and . ML4H@NeurIPS, volume 116 of Proceedings of Machine Learning Research, page 202-219. PMLR, (2019)The Limits of Fair Medical Imaging AI In The Wild., , , , and . CoRR, (2023)Modeling the Biological Pathology Continuum with HSIC-regularized Wasserstein Auto-encoders., , , , , and . CoRR, (2019)Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness., , , , and . FAccT, page 149-160. ACM, (2021)Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit., , , , and . AIES, page 333-350. ACM, (2023)"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 41550-41578. PMLR, (2023)