Faseela Abdullakutty
Orcid: 0000-0002-3084-0604
According to our database1,
Faseela Abdullakutty
authored at least 10 papers
between 2021 and 2025.
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Bibliography
2025
Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation.
Cogn. Comput., June, 2025
2024
Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability.
CoRR, 2024
Decoding Memes: A Comprehensive Analysis of Late and Early Fusion Models for Explainable Meme Analysis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Web Information Systems Engineering - WISE 2024 PhD Symposium, Demos and Workshops, 2024
Context-Aware Offensive Meme Detection: A Multi-Modal Zero-Shot Approach with Caption-Enhanced Classification.
Proceedings of the IEEE International Conference on Data Mining, 2024
2023
Unmasking the Imposters: Task-specific feature learning for face presentation attack detection.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection.
Cogn. Comput., 2022
2021
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods.
Inf. Fusion, 2021
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021