Our Publications
Research contributions from the ARiSE team and affiliates, searchable by title, author, venue, or topic.
Advanced CNN and Explainable AI Based Architecture for Interpretable Brain MRI Analysis
Shuvashis Sarker, Shamim Rahim Refat, Faika Fairuj Preotee, Tashreef Muhammad
ACM · Proceedings of the 3rd International Conference on Computing Advancements
An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI
Faika Fairuj Preotee, Shuvashis Sarker, Shamim Rahim Refat, Tashreef Muhammad, Shifat Islam
IEEE · 2024 27th International Conference on Computer and Information Technology (ICCIT)
ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition
Bidyarthi Paul, Faika Fairuj Preotee, Shuvashis Sarker, Shamim Rahim Refat, Shifat Islam, Tashreef Muhammad, Mohammad Ashraful Hoque, Shahriar Manzoor
PLOS ONE · PLOS ONE, Volume 21, Issue 2
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models
Md. Arafat Alam Khandaker, Ziyan Shirin Raha, Bidyarthi Paul, Tashreef Muhammad
IEEE · 2024 27th International Conference on Computer and Information Technology (ICCIT)
Deep Learning-based Multi-Class Brain Abnormality Diagnosis on Bangladeshi MRI Images
Md Rakibul Hasan, Nusrat Jahan, Shifat Islam, Tashreef Muhammad
IEEE · 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON)
Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures
Md. Arafat Alam Khandaker, Ziyan Shirin Raha, Tashreef Muhammad, Shifat Islam
IEEE · 2024 27th International Conference on Computer and Information Technology (ICCIT)
Improving Bangla Regional Dialect Detection Using BERT, LLMs, and XAI
Bidyarthi Paul, Faika Fairuj Preotee, Shuvashis Sarker, Tashreef Muhammad
IEEE · 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS)
LeafVRNet: An Explainable Feature Fusion Framework for Interpretable Plant Leaf Disease Detection
Tahsin Shuborna, Tashfia Shahid Eifa, Shahriar Hossain Arafat, Bidyarthi Paul, Mohammad Shahmidul Islam, Md Rakib Hasan
IEEE · 2025 28th International Conference on Computer and Information Technology (ICCIT)
Comparative Study of LLMs and Transformers for Bangla Healthcare Paraphrasing
Shifat Islam, Md. Shorif Uddin, Rayhan Uddin Bhuiyan, Azizul Hakim, Faika Fairuj Preotee, Mohammad Shahmidul Islam
IEEE · 2025 28th International Conference on Computer and Information Technology (ICCIT)
Tomatose: An Explainable Deep Learning Framework for Tomato Leaf Disease Detection
Bidyarthi Paul, Tashreef Muhammad, Faika Fairuj Preotee, Shohel Babu
IEEE · 2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)
An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection
Shuvashis Sarker, Shamim Rahim Refat, Faika Fairuj Preotee, Shifat Islam, Tashreef Muhammad, Mohammad Ashraful Hoque
IEEE · 2024 27th International Conference on Computer and Information Technology (ICCIT)
VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification
Shamim Rahim Refat, Ziyan Shirin Raha, Shuvashis Sarker, Faika Fairuj Preotee, MD Musfikur Rahman, Tashreef Muhammad, Mohammad Shafiul Alam
Springer · Biomedical Materials & Devices