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ASAC: Active Sensing using Actor-Critic models.

, , and . MLHC, volume 106 of Proceedings of Machine Learning Research, page 451-473. PMLR, (2019)

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Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks., , and . ICLR (Poster), OpenReview.net, (2018)Feature Selection for Survival Analysis with Competing Risks using Deep Learning., , and . CoRR, (2018)Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors., , , , , and . CoRR, (2017)DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks., , , and . AAAI, page 2314-2321. AAAI Press, (2018)VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain., , , and . NeurIPS, (2020)Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification., , , , , , , , , and . NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 206-215. PMLR, (2020)Cost-Efficient and Bias-Robust Sports Player Tracking by Integrating GPS and Video., , , , , and . MLSA@PKDD/ECML, volume 1783 of Communications in Computer and Information Science, page 74-86. Springer, (2022)End-to-End Machine Learning Frameworks for Medicine: Data Imputation, Model Interpretation and Synthetic Data Generation.. University of California, Los Angeles, USA, (2020)Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM., , , , and . KDD, page 4296-4307. ACM, (2023)RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5685-5693. PMLR, (2018)