Sher Muhammad Daudpota
Orcid: 0000-0001-6684-751X
According to our database1,
Sher Muhammad Daudpota
authored at least 34 papers
between 2016 and 2025.
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Bibliography
2025
CoRR, July, 2025
Aspect-based sentiment analysis for software requirements elicitation using fine-tuned Bidirectional Encoder Representations from Transformers and Explainable Artificial Intelligence.
Eng. Appl. Artif. Intell., 2025
Unlocking language barriers: Assessing pre-trained large language models across multilingual tasks and unveiling the black box with Explainable Artificial Intelligence.
Eng. Appl. Artif. Intell., 2025
Deep insights into gastrointestinal health: A comprehensive analysis of GastroVision dataset using convolutional neural networks and explainable AI.
Biomed. Signal Process. Control., 2025
2024
Comput. Intell., August, 2024
Learning from the few: Fine-grained approach to pediatric wrist pathology recognition on a limited dataset.
Comput. Biol. Medicine, 2024
Enhancing wrist abnormality detection with YOLO: Analysis of state-of-the-art single-stage detection models.
Biomed. Signal Process. Control., 2024
Comparative Analysis of Deep Natural Networks and Large Language Models for Aspect-Based Sentiment Analysis.
IEEE Access, 2024
Analyzing and Predicting the Helpfulness of Reviews in MOOCs Context Using Deep Learning.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024
Navigating Limitations With Precision: A Fine-Grained Ensemble Approach To Wrist Pathology Recognition On A Limited X-Ray Dataset.
Proceedings of the IEEE International Conference on Image Processing, 2024
Hate Speech Detection in Code-Mixed Datasets Using Pretrained Embeddings and Transformers.
Proceedings of the International Conference on Frontiers of Information Technology, 2024
Small Data, Big Impact: A Multi-Locale Bone Fracture Detection on an Extremely Limited Dataset Via Crack-Informed YOLOv9 Variants.
Proceedings of the International Conference on Frontiers of Information Technology, 2024
Advancing Gastrointestinal Disease Diagnosis: A Fine-Grained Approach Using Swin Transformer and Explainable AI Techniques.
Proceedings of the 12th European Workshop on Visual Information Processing, 2024
Proceedings of the 12th European Workshop on Visual Information Processing, 2024
2023
Internet Things, December, 2023
The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review.
Comput. Biol. Medicine, November, 2023
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023
Improving news headline text generation quality through frequent POS-Tag patterns analysis.
Eng. Appl. Artif. Intell., 2023
Soaring Energy Prices: Understanding Public Engagement on Twitter Using Sentiment Analysis and Topic Modeling With Transformers.
IEEE Access, 2023
IEEE Access, 2023
Proceedings of the International Symposium on Image and Signal Processing and Analysis, 2023
Exploring the potential of large-language models (LLMs) for student feedback sentiment analysis.
Proceedings of the International Conference on Frontiers of Information Technology, 2023
2022
IEEE Access, 2022
2021
Bloom's Learning Outcomes' Automatic Classification Using LSTM and Pretrained Word Embeddings.
IEEE Access, 2021
The Impact of Translating Resource-Rich Datasets to Low-Resource Languages Through Multi-Lingual Text Processing.
IEEE Access, 2021
The Potential of Machine Learning Algorithms for Sentiment Classification of Students' Feedback on MOOC.
Proceedings of the Intelligent Systems and Applications, 2021
2020
A novel approach to secret data concealment with high cover text capacity and security.
Int. J. Electron. Secur. Digit. Forensics, 2020
Int. J. Commun. Networks Distributed Syst., 2020
Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets.
IEEE Access, 2020
2019
Signal Image Video Process., 2019
Aspect-Based Opinion Mining on Student's Feedback for Faculty Teaching Performance Evaluation.
IEEE Access, 2019
2018
2016
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016