Faseela Abdullakutty

According to our database, Faseela Abdullakutty authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability.

Faseela Abdullakutty, Younes Akbari, Somaya Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi

CoRR, 2024

Decoding Memes: A Comprehensive Analysis of Late and Early Fusion Models for Explainable Meme Analysis.

Faseela Abdullakutty, Usman Naseem

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Unmasking the Imposters: Task-specific feature learning for face presentation attack detection.

Faseela Abdullakutty, Eyad Elyan, Pamela Johnston

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Fusion Methods for Face Presentation Attack Detection.

Faseela Abdullakutty, Pamela Johnston, Eyad Elyan

Sensors, 2022

Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection.

Faseela Abdullakutty, Eyad Elyan, Pamela Johnston, Adamu Ali-Gombe

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.

Faseela Abdullakutty, Eyad Elyan, Pamela Johnston

Inf. Fusion, 2021

Face Spoof Detection: An Experimental Framework.

Faseela Abdullakutty, Eyad Elyan, Pamela Johnston

Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021