1 citations · 1 across the 3 of their papers we have counts for
3 papers
Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection
Faizul Rakib Sayem, Shahana Ibrahim
The reliability of artificial intelligence (AI) systems in open-world settings depends heavily on their ability to flag out-of-distribution (OOD) inputs unseen during training. Rec…
Pseudo-label Induced Subspace Representation Learning for Robust Out-of-Distribution Detection
Tarhib Al Azad, Faizul Rakib Sayem, Shahana Ibrahim
Out-of-distribution (OOD) detection lies at the heart of robust artificial intelligence (AI), aiming to identify samples from novel distributions beyond the training set. Recent ap…
A Novel 1D Generative Adversarial Network-based Framework for Atrial Fibrillation Detection using Restored Wrist Photoplethysmography Signals
Faizul Rakib Sayem, Mosabber Uddin Ahmed, Saadia Binte Alam +5
Atrial fibrillation (AF) increases the risk of stroke. Electrocardiogram (ECG) is used for AF detection, while photoplethysmography (PPG) is simple to use and appropriate for long-…