2 citations · 3 across the 4 of their papers we have counts for
10 papers
HyCARD-Net: A Synergistic Hybrid Intelligence Framework for Cardiovascular Disease Diagnosis
Rajan Das Gupta, Xiaobin Wu, Xun Liu +1
Cardiovascular disease (CVD) remains the foremost cause of mortality worldwide, underscoring the urgent need for intelligent and data-driven diagnostic tools. Traditional predictiv…
Cross-Lingual Probing and Community-Grounded Analysis of Gender Bias in Low-Resource Bengali
Md Asgor Hossain Reaj, Rajan Das Gupta, Jui Saha Pritha +4
Large Language Models (LLMs) have achieved significant success in recent years; yet, issues of intrinsic gender bias persist, especially in non-English languages. Although current…
BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
Rajan Das Gupta, Md Kishor Morol, Nafiz Fahad +3
As the global burden of Alzheimer's disease (AD) continues to grow, early and accurate detection has become increasingly critical, especially in regions with limited access to adva…
GANDiff FR: Hybrid GAN Diffusion Synthesis for Causal Bias Attribution in Face Recognition
Md Asgor Hossain Reaj, Rajan Das Gupta, Md Yeasin Rahat +3
We introduce GANDiff FR, the first synthetic framework that precisely controls demographic and environmental factors to measure, explain, and reduce bias with reproducible rigor. G…
ViMoNet: A Multimodal Vision-Language Framework for Human Behavior Understanding from Motion and Video
Rajan Das Gupta, Lei Wei, Md Yeasin Rahat +3
This study investigates the use of large language models (LLMs) for human behavior understanding by jointly leveraging motion and video data. We argue that integrating these comple…
A deep learning and machine learning approach to predict neonatal death in the context of São Paulo
Mohon Raihan, Plabon Kumar Saha, Rajan Das Gupta +6
Neonatal death is still a concerning reality for underdeveloped and even some developed countries. Worldwide data indicate that 26.693 babies out of 1,000 births die, according to…