Our papers Critical State Detection for Adversarial Attacks in Deep Reinforcement Learning, BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram and End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices have been accepted to the 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021.

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