4 citations · 12 across the 4 of their papers we have counts for
5 papers
Cross-Dialect NER for Bangla Regional Dialects Using Leave-One-Dialect-Out Cross-Validation and Explainable AI
Shamim Rahim Refat, Faika Fairuj Preotee, Shuvashis Sarker +3
Bangla, the seventh most spoken language in the world, exhibits significant regional dialectal diversity, with dialects such as Barishal, Chattogram, Sylhet, Noakhali, and Mymensin…
An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection
Shuvashis Sarker, Shamim Rahim Refat, Faika Fairuj Preotee +3
The brain is a highly complex organ that manages many important tasks, including movement, memory and thinking. Brain-related conditions, like tumors and degenerative disorders, ca…
An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI
Faika Fairuj Preotee, Shuvashis Sarker, Shamim Rahim Refat +2
Leaf diseases are harmful conditions that affect the health, appearance and productivity of plants, leading to significant plant loss and negatively impacting farmers' livelihoods.…
ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition
Bidyarthi Paul, Faika Fairuj Preotee, Shuvashis Sarker +5
Named Entity Recognition (NER) in regional dialects is a critical yet underexplored area in Natural Language Processing (NLP), especially for low-resource languages like Bangla. Wh…
Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures
Md. Arafat Alam Khandaker, Ziyan Shirin Raha, Shifat Islam +1
Pumpkin leaf diseases are significant threats to agricultural productivity, requiring a timely and precise diagnosis for effective management. Traditional identification methods ar…