Mohsinul Kabir
Orcid: 0000-0001-5899-6355
According to our database1,
Mohsinul Kabir
authored at least 22 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
CoRR, 2024
Explainable AI approaches in deep learning: Advancements, applications and challenges.
Comput. Electr. Eng., 2024
Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes.
IEEE Access, 2024
Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges.
IEEE Access, 2024
Unveiling Depression on Social Media: Active Learning with Human-in-the-Loop Labeling for Mental Health Data Annotation and Analysis.
Proceedings of the Natural Language Processing and Information Systems, 2024
BenLLM-Eval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
CoRR, 2023
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP.
CoRR, 2023
CoRR, 2023
"When Words Fail, Emojis Prevail": Generating Sarcastic Utterances with Emoji Using Valence Reversal and Semantic Incongruity.
CoRR, 2023
Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning.
CoRR, 2023
Comput. Hum. Behav., 2023
Advancing Wildlife Protection: Mask R-CNN for Rail Track Identification and Unwanted Object Detection.
IEEE Access, 2023
"When Words Fail, Emojis Prevail": A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic Incongruity.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Performance analysis of transformer-based architectures and their ensembles to detect trait-based cyberbullying.
Soc. Netw. Anal. Min., 2022
Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset Based on Active Learning.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022
2021
Am I Being Bullied on Social Media? An Ensemble Approach to Categorize Cyberbullying.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Int. J. Hum. Comput. Interact., 2020