G. M. Shahariar

According to our database1, G. M. Shahariar authored at least 16 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification.
CoRR, 2024

A Comparative Analysis of Noise Reduction Methods in Sentiment Analysis on Noisy Bangla Texts.
CoRR, 2024

2023
Towards Automated Recipe Genre Classification using Semi-Supervised Learning.
CoRR, 2023

Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME.
CoRR, 2023

Bengali Fake Reviews: A Benchmark Dataset and Detection System.
CoRR, 2023

Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning.
CoRR, 2023

Rank Your Summaries: Enhancing Bengali Text Summarization via Ranking-based Approach.
CoRR, 2023

Tackling Fake News in Bengali: Unraveling the Impact of Summarization vs. Augmentation on Pre-trained Language Models.
CoRR, 2023

Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning.
CoRR, 2023

Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks.
CoRR, 2023

Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning.
CoRR, 2023

Contrastive Learning for API Aspect Analysis.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022
Spam Review Detection Using Deep Learning.
CoRR, 2022

Effectiveness of Transformer Models on IoT Security Detection in StackOverflow Discussions.
CoRR, 2022

Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset Based on Active Learning.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022

Can Transformer Models Effectively Detect Software Aspects in StackOverflow Discussion?
Proceedings of the Machine Intelligence and Emerging Technologies, 2022


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