activity
20212025
most citedBERT2Code: Can Pretrained Language Models be Leveraged for Code Search?

6 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Principles and Components of Federated Learning Architectures

MD Abdullah Al Nasim, Fatema Tuj Johura Soshi, Parag Biswas +4

Federated Learning (FL) is a machine learning framework where multiple clients, from mobiles to enterprises, collaboratively construct a model under the orchestration of a central…

eess.IV2023★ 1 cited

Introduction to Medical Imaging Informatics

Md. Zihad Bin Jahangir, Ruksat Hossain, Riadul Islam +4

Medical imaging informatics is a rapidly growing field that combines the principles of medical imaging and informatics to improve the acquisition, management, and interpretation of…

eess.IV2022

Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysis

MD Abdullah Al Nasim, Abdullah Al Munem, Maksuda Islam +3

Cancer of the brain is deadly and requires careful surgical segmentation. The brain tumors were segmented using U-Net using a Convolutional Neural Network (CNN). When looking for o…

cs.CL2021

CoDesc: A Large Code-Description Parallel Dataset

Masum Hasan, Tanveer Muttaqueen, Abdullah Al Ishtiaq +6

Translation between natural language and source code can help software development by enabling developers to comprehend, ideate, search, and write computer programs in natural lang…

cs.SE2021★ 6 cited

BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?

Abdullah Al Ishtiaq, Masum Hasan, Md. Mahim Anjum Haque +5

Millions of repetitive code snippets are submitted to code repositories every day. To search from these large codebases using simple natural language queries would allow programmer…