29 citations · 37 across the 8 of their papers we have counts for
8 papers
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification
Ashfiqun Mustari, Rushmia Ahmed, Afsara Tasnim +2
This paper proposes an efficient system for classifying cervical cancer cells using pre-trained convolutional neural networks (CNNs). We first fine-tune five pre-trained CNNs and m…
A Comparative Analysis of Noise Reduction Methods in Sentiment Analysis on Noisy Bangla Texts
Kazi Toufique Elahi, Tasnuva Binte Rahman, Shakil Shahriar +3
While Bangla is considered a language with limited resources, sentiment analysis has been a subject of extensive research in the literature. Nevertheless, there is a scarcity of ex…
Towards Automated Recipe Genre Classification using Semi-Supervised Learning
Nazmus Sakib, G. M. Shahariar, Md. Mohsinul Kabir +2
Sharing cooking recipes is a great way to exchange culinary ideas and provide instructions for food preparation. However, categorizing raw recipes found online into appropriate foo…
Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME
Md. Atiqur Rahman, Ahmed Saad Tanim, Sanjid Islam +3
The objective of this investigation is to evaluate and contrast the effectiveness of four state-of-the-art pre-trained models, ResNet-34, VGG-19, DenseNet-121, and Inception V3, in…
Contrastive Learning for API Aspect Analysis
G. M. Shahariar, Tahmid Hasan, Anindya Iqbal +1
We present a novel approach - CLAA - for API aspect detection in API reviews that utilizes transformer models trained with a supervised contrastive loss objective function. We eval…
Rank Your Summaries: Enhancing Bengali Text Summarization via Ranking-based Approach
G. M. Shahariar, Tonmoy Talukder, Rafin Alam Khan Sotez +1
With the increasing need for text summarization techniques that are both efficient and accurate, it becomes crucial to explore avenues that enhance the quality and precision of pre…