3 papers
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…
cs.LG2025
Dynamic Prototype Rehearsal for Continual ECG Arrhythmia Detection
Sana Rahmani, Reetam Chatterjee, Ali Etemad +1
Continual Learning (CL) methods aim to learn from a sequence of tasks while avoiding the challenge of forgetting previous knowledge. We present DREAM-CL, a novel CL method for ECG…