4 citations · 4 across the 3 of their papers we have counts for
5 papers
Learning from the Right Regions: Class-Conditioned Explanation Guidance for Medical Imaging
Zubair Faruqui, Rahul Dubey
Deep neural networks can achieve strong predictive performance in medical imaging while relying on regions unrelated to the predicted finding. Explanation-guided learning can addre…
MOXIE: Discovering Alternative Explanations for Biomedical Image Classifiers
Abiha Tahsin Chowdhury, Rahul Dubey
Segment-based explanation methods such as LIME return a single explanation for each prediction, computed from one fixed image segmentation. This hides two important facts: a predic…
Explanation-Aware Learning for Enhanced Interpretability in Biomedical Imaging
Zubair Faruqui, Rahul Dubey
Deep neural networks for medical image diagnosis often achieve high predictive accuracy while relying on spurious or clinically irrelevant visual cues, limiting their trustworthine…
Explainability of CNN Based Classification Models for Acoustic Signal
Zubair Faruqui, Mackenzie S. McIntire, Rahul Dubey +1
Explainable Artificial Intelligence (XAI) has emerged as a critical tool for interpreting the predictions of complex deep learning models. While XAI has been increasingly applied i…
A Dynamic Approach to Load Balancing in Cloud Infrastructure: Enhancing Energy Efficiency and Resource Utilization
Shadman Sakib, Ajay Katangur, Rahul Dubey
Cloud computing has grown rapidly in recent years, mainly due to the sharp increase in data transferred over the internet. This growth makes load balancing a key part of cloud syst…