4 papers
Investigating ECG Diagnosis with Ambiguous Labels using Partial Label Learning
Sana Rahmani, Javad Hashemi, Ali Etemad
Label ambiguity is an inherent and largely unaddressed challenge in real-world electrocardiogram (ECG) diagnosis, arising from overlapping conditions and diagnostic disagreements.…
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…
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-…
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…