| 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 | 45 | 2021 |
| 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 | 17 | 2019 |
| 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 | 17 | 2016 |
| Fusion methods for face presentation attack detection F Abdullakutty, P Johnston, E Elyan Sensors 22 (14), 5196, 2022 | 11 | 2022 |
| 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 | 9 | 2022 |
| Face spoof detection: an experimental framework F Abdullakutty, E Elyan, P Johnston International Conference on Engineering Applications of Neural Networks, 293-304, 2021 | 3 | 2021 |
| 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 | 1 | 2023 |
| Decoding Memes: A Comprehensive Analysis of Late and Early Fusion Models for Explainable Meme Analysis F Abdullakutty, U Naseem Companion Proceedings of the ACM on Web Conference 2024, 1681-1689, 2024 | | 2024 |
| Unmasking the imposters: towards improving the generalisation of deep learning methods for face presentation attack detection. FC Abdullakutty | | 2023 |
Pamela JohnstonRobert Gordon UniversityEmail yang diverifikasi di rgu.ac.uk
