activity
20242026
most citedOptimizing Domain-Specific Image Retrieval: A Benchmark of FAISS and Annoy with Fine-Tuned Features

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

Two-Stage Bengali Sentiment Classification: Domain Adaptation Through Continual Learning and Parameter-Efficient Fine-Tuning

MD Shaikh Rahman, Syed Maudud E Rabbi, Muhammad Mahbubur Rashid

Understanding sentiment in low-resource languages remains a key challenge for Natural Language Processing (NLP), particularly when domain-specific data is scarce. In this work, we…

eess.IV2025

Advanced Multi-Architecture Deep Learning Framework for BIRADS-Based Mammographic Image Retrieval: Comprehensive Performance Analysis with Super-Ensemble Optimization

MD Shaikh Rahman, Feiroz Humayara, Syed Maudud E Rabbi +1

Content-based mammographic image retrieval systems require exact BIRADS categorical matching across five distinct classes, presenting significantly greater complexity than binary c…

cs.CV2024★ 1 cited

Optimizing Domain-Specific Image Retrieval: A Benchmark of FAISS and Annoy with Fine-Tuned Features

MD Shaikh Rahman, Syed Maudud E Rabbi, Muhammad Mahbubur Rashid

Approximate Nearest Neighbor search is one of the keys to high-scale data retrieval performance in many applications. The work is a bridge between feature extraction and ANN indexi…

cs.CV2024★ 1 cited

Efficient Medical Image Retrieval Using DenseNet and FAISS for BIRADS Classification

MD Shaikh Rahman, Feiroz Humayara, Syed Maudud E Rabbi +1

That datasets that are used in todays research are especially vast in the medical field. Different types of medical images such as X-rays, MRI, CT scan etc. take up large amounts o…