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eess.SP2025
Uncertainty-Aware Multi-view Arrhythmia Classification from ECG
Mohd Ashhad, Sana Rahmani, Mohammed Fayiz +2
We propose a deep neural architecture that performs uncertainty-aware multi-view classification of arrhythmia from ECG. Our method learns two different views (1D and 2D) of single-…
eess.SP2025
Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders
Aditya Mishra, Ahnaf Mozib Samin, Ali Etemad +1
We propose GC-VASE, a graph convolutional-based variational autoencoder that leverages contrastive learning for subject representation learning from EEG data. Our method successful…