Taki Hasan Rafi
Orcid: 0000-0003-3920-9314
According to our database1,
Taki Hasan Rafi
authored at least 17 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
Artif. Intell. Rev., September, 2024
Inf. Fusion, May, 2024
GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution.
CoRR, 2024
Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives.
CoRR, 2024
CoRR, 2024
When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
DiaFrame: A Framework for Understanding Bengali Dialects in Human-AI Collaborative Creative Writing Spaces.
Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning.
CoRR, 2023
An Interpretable Framework for Identifying Cerebral Microbleeds and Alzheimer's Disease Severity using Multimodal Data.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
HeartNet: Self Multihead Attention Mechanism via Convolutional Network With Adversarial Data Synthesis for ECG-Based Arrhythmia Classification.
IEEE Access, 2022
2021
Recent Advances in Computer-Aided Medical Diagnosis Using Machine Learning Algorithms With Optimization Techniques.
IEEE Access, 2021
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021
2020
A Performance Evaluation of Machine Learning Models on Human Activity Identification (HAI).
Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020
An ensemble deep transfer-learning approach to identify COVID-19 cases from chest X-ray images.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020