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Faseela  Abdullakutty
Faseela Abdullakutty
Post Doc, Qatar University, Doha, Qatar
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A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods
F Abdullakutty, E Elyan, P Johnston
Information fusion 75, 55-69, 2021
442021
Multi-objective framework for process mean selection and price differentiation with leakage effects under price-dependent stochastic demand
SA Raza, FC Abdullakutty, S Rathinam, SM Govindaluri
Computers & Industrial Engineering 127, 698-708, 2019
172019
Joint determination of process mean, price differentiation, and production decisions with demand leakage: A multi-objective approach
SA Raza, FC Abdullakutty, S Rathinam
Applied Mathematical Modelling 40 (19-20), 8446-8463, 2016
172016
Fusion methods for face presentation attack detection
F Abdullakutty, P Johnston, E Elyan
Sensors 22 (14), 5196, 2022
112022
Deep transfer learning on the aggregated dataset for face presentation attack detection
F Abdullakutty, E Elyan, P Johnston, A Ali-Gombe
Cognitive computation 14 (6), 2223-2233, 2022
92022
Face spoof detection: an experimental framework
F Abdullakutty, E Elyan, P Johnston
International Conference on Engineering Applications of Neural Networks, 293-304, 2021
32021
Unmasking the Imposters: Task-specific feature learning for face presentation attack detection
F Abdullakutty, E Elyan, P Johnston
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
12023
Unmasking the imposters: towards improving the generalisation of deep learning methods for face presentation attack detection.
FC Abdullakutty
2023
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