most citedHarnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study

5 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV20241 cited

Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservation

Niful Islam, Mohaiminul Islam Bhuiyan, Jarin Tasnim Raya +4

Brain tumors are one of the most common diseases that lead to early death if not diagnosed at an early stage. Traditional diagnostic approaches are extremely time-consuming and pro…

eess.IV20243 cited

Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency

Niful Islam, Khan Md Hasib, Fahmida Akter Joti +2

Skin cancer is a major concern to public health, accounting for one-third of the reported cancers. If not detected early, the cancer has the potential for severe consequences. Reco…

cs.CL20245 cited

Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study

Ahmadul Karim Chowdhury, Md. Saidur Rahman Sujon, Md. Shirajus Salekin Shafi +4

In an era where the silent struggle of underdiagnosed depression pervades globally, our research delves into the crucial link between mental health and social media. This work focu…

cs.CV2023

Addressing Uncertainty in Imbalanced Histopathology Image Classification of HER2 Breast Cancer: An interpretable Ensemble Approach with Threshold Filtered Single Instance Evaluation (SIE)

Md Sakib Hossain Shovon, M. F. Mridha, Khan Md Hasib +3

Breast Cancer (BC) is among women's most lethal health concerns. Early diagnosis can alleviate the mortality rate by helping patients make efficient treatment decisions. Human Epid…