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Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes., , , , и . ML4H@NeurIPS, том 158 из Proceedings of Machine Learning Research, стр. 220-238. PMLR, (2021)Controlling motion prediction errors in radiotherapy with relevance vector machines., , и . Int. J. Comput. Assist. Radiol. Surg., 10 (4): 363-371 (2015)Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients., , , , , , , , и . CoRR, (2020)Multi-target affect detection in the wild: an exploratory study., , , , и . UbiComp, стр. 211-219. ACM, (2019)Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks., , , , , , , , и . CoRR, (2021)Binary Input Layer: Training of CNN models with binary input data., , , и . CoRR, (2018)Optimized order estimation for autoregressive models to predict respiratory motion., , и . Int. J. Comput. Assist. Radiol. Surg., 8 (6): 1037-1042 (2013)Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units., , , , , , , , , и 1 other автор(ы). CoRR, (2020)Sensing Room Occupancy Levels with Signal-to-Noise Ratio and Signal Phase and Multiple Antenna Configurations., , , , и . IEEE SENSORS, стр. 1-4. IEEE, (2018)Wearable-Based Affect Recognition - A Review., , , и . Sensors, 19 (19): 4079 (2019)