8 citations · 8 across the 4 of their papers we have counts for
4 papers
BanglaMemeEvidence: A Multimodal Benchmark Dataset for Explanatory Evidence Detection in Bengali Memes
Fatema Tuj Johora Faria, Mukaffi Bin Moin, Md. Mahfuzur Rahman +3
Memes have become influential communication tools on social media, combining viral visuals with concise messaging to convey impactful ideas. While substantial research has examined…
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts
Mustofa Ahmed, Abdul Muntakim, Nawrin Tabassum +2
Depression detection using deep learning models has been widely explored in previous studies, especially due to the large amounts of data available from social media posts. These p…
Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive Study
Fatema Tuj Johora Faria, Mukaffi Bin Moin, Asif Iftekher Fahim +2
Natural Language Inference (NLI) is a cornerstone of Natural Language Processing (NLP), providing insights into the entailment relationships between text pairings. It is a critical…
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
Fatema Tuj Johora Faria, Mukaffi Bin Moin, Pronay Debnath +2
Early detection of vision-threatening conditions such as diabetic retinopathy, glaucoma, and age-related macular degeneration depends on retinal fundus image analysis, but manual a…