Md Shakil Hossain

Orcid: 0009-0009-1584-3282

According to our database1, Md Shakil Hossain authored at least 14 papers between 2022 and 2025.

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

2025
CrosGrpsABS: Cross-Attention over Syntactic and Semantic Graphs for Aspect-Based Sentiment Analysis in a Low-Resource Language.
CoRR, May, 2025

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection.
CoRR, May, 2025

Fusing Transformer-XL with bi-directional recurrent networks for cyberbullying detection.
PeerJ Comput. Sci., 2025

Revolutionizing Mental Health Sentiment Analysis With BERT-Fuse: A Hybrid Deep Learning Model.
IEEE Access, 2025

EmoNet: Deep Attentional Recurrent CNN for X (Formerly Twitter) Emotion Classification.
IEEE Access, 2025

Dimension-Wise Gated Cross-Attention for Multimodal Sentiment Analysis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024
A Hybrid Attention-Based Transformer Model for Arabic News Classification Using Text Embedding and Deep Learning.
IEEE Access, 2024

TransNet: Deep Attentional Hybrid Transformer for Arabic Posts Classification.
IEEE Access, 2024

Bengali Cyberbullying: Detection, Categorization, and Gender Bias Analysis.
Proceedings of the IEEE International Conference on Data Mining, 2024

Leveraging Fixation Transition Patterns and Targeted Regions of Interest for Analyzing Code Comprehension.
Proceedings of the IEEE Frontiers in Education Conference, 2024

Leveraging Eye Tracking and Targeted Regions of Interest for Analyzing Code Comprehension.
Proceedings of the 2024 ACM Southeast Conference, 2024

2022
Learner Attention Quantification Using Eye Tracking and EEG Signals.
Proceedings of the Future Technologies Conference, 2022

Development and Field-Testing of a Non-intrusive Classroom Attention Tracking System (NiCATS) for Tracking Student Attention in CS Classrooms.
Proceedings of the IEEE Frontiers in Education Conference, 2022

Using AI-based NiCATS System to Evaluate Student Comprehension in Introductory Computer Programming Courses.
Proceedings of the IEEE Frontiers in Education Conference, 2022


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