4 papers
Visual Bias and Interpretability in Deep Learning for Dermatological Image Analysis
Enam Ahmed Taufik, Abdullah Khondoker, Antara Firoz Parsa +1
Accurate skin disease classification is a critical yet challenging task due to high inter-class similarity, intra-class variability, and complex lesion textures. While deep learnin…
How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text?
Abdullah Khondoker, Enam Ahmed Taufik, Md. Iftekhar Islam Tashik +2
The spread of cyber hatred has led to communal violence, fueling aggression and conflicts between various religious, ethnic, and social groups, posing a significant threat to socia…
Unlocking the Potential of Multiple BERT Models for Bangla Question Answering in NCTB Textbooks
Abdullah Khondoker, Enam Ahmed Taufik, Md Iftekhar Islam Tashik +2
Evaluating text comprehension in educational settings is critical for understanding student performance and improving curricular effectiveness. This study investigates the capabili…
Advancements and Challenges in Bangla Question Answering Models: A Comprehensive Review
Md Iftekhar Islam Tashik, Abdullah Khondoker, Enam Ahmed Taufik +2
The domain of Natural Language Processing (NLP) has experienced notable progress in the evolution of Bangla Question Answering (QA) systems. This paper presents a comprehensive rev…