8 citations · 20 across the 13 of their papers we have counts for
6 papers · 1 filter
Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language
Fatema Tuj Johora Faria, Mukaffi Bin Moin, Md. Mahfuzur Rahman +3
With the increasing popularity of daily information sharing and acquisition on the Internet, this paper introduces an innovative approach for intent classification in Bangla langua…
Motamot: A Dataset for Revealing the Supremacy of Large Language Models over Transformer Models in Bengali Political Sentiment Analysis
Fatema Tuj Johora Faria, Mukaffi Bin Moin, Rabeya Islam Mumu +3
Sentiment analysis is the process of identifying and categorizing people's emotions or opinions regarding various topics. Analyzing political sentiment is critical for understandin…
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification
Mukaffi Bin Moin, Fatema Tuj Johora Faria, Swarnajit Saha +2
Lung and colon cancer are serious worldwide health challenges that require early and precise identification to reduce mortality risks. However, diagnosis, which is mostly dependent…
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…
PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification
Fatema Tuj Johora Faria, Mukaffi Bin Moin, Mohammad Shafiul Alam +3
Numerous applications have resulted from the automation of agricultural disease segmentation using deep learning techniques. However, when applied to new conditions, these applicat…