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Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series.

, , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 28531-28548. PMLR, (2023)

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Carsten Collin

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Mollack: a web server for the automated creation of conformational ensembles for intrinsically disordered proteins., , , , и . Bioinform., 32 (16): 2545-2547 (2016)Data Augmentation for Electrocardiograms., , , , и . CHIL, том 174 из Proceedings of Machine Learning Research, стр. 282-310. PMLR, (2022)Generative Oversampling with a Contrastive Variational Autoencoder., , , , , и . ICDM, стр. 101-109. IEEE, (2019)QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG., , и . EMBC, стр. 1-4. IEEE, (2023)Quantifying Common Support between Multiple Treatment Groups Using a Contrastive-VAE., и . ML4H@NeurIPS, том 136 из Proceedings of Machine Learning Research, стр. 41-52. PMLR, (2020)Clustering and Symbolic Analysis of Cardiovascular Signals: Discovery and Visualization of Medically Relevant Patterns in Long-Term Data Using Limited Prior Knowledge., , и . EURASIP J. Adv. Signal Process., (2007)Efficient Construction of Disordered Protein Ensembles in a Bayesian Framework with Optimal Selection of Conformations., , и . Pacific Symposium on Biocomputing, стр. 82-93. World Scientific Publishing, (2012)Learning to predict with supporting evidence: applications to clinical risk prediction., , , , , и . CHIL, стр. 95-104. ACM, (2021)Transferring Knowledge from Text to Predict Disease Onset., , , , , и . MLHC, том 56 из JMLR Workshop and Conference Proceedings, стр. 150-163. JMLR.org, (2016)Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank., , , , , и . AMIA, AMIA, (2022)