Deep Neural Networks for Face Recognition: Pairwise Optimisation. - Elitsa Popova; Athanasios Athanasopoulos; Efraim Ie; Nikolaos Christou; Ndifreke Nyah (ISMIS, 2018)

Learning of Brain Connectivity Features for EEG-based Person Identification. - Ndifreke Nyah; Nikolaos Christou (ICBEA, 2019)

Challenges in Face Recognition Using Machine Learning Algorithms: Case of Makeup and Occlusions. - Natalya Selitskaya; Stanislaw Sielicki; Nikolaos Christou (IntelliSys (2), 2020)

Challenges in Real-Life Face Recognition with Heavy Makeup and Occlusions Using Deep Learning Algorithms. - Natalya Selitskaya; Stanislaw Sielicki; Nikolaos Christou (LOD (2), 2020)

Isolating Uncertainty of the Face Expression Recognition with the Meta-Learning Supervisor Neural Network. - Stanislav Selitskiy; Nikolaos Christou; Natalya Selitskaya (AIVR, 2021)

Learning Incorrect Verdict Patterns of the Established Face Recognizing CNN Models Using Meta-Learning Supervisor ANN. - Stanislav Selitskiy; Nikolaos Christou; Natalya Selitskaya (IntelliSys (2), 2021)

Using Statistical and Artificial Neural Networks Meta-learning Approaches for Uncertainty Isolation in Face Recognition by the Established Convolutional Models. - Stanislav Selitskiy; Nikolaos Christou; Natalya Selitskaya (LOD, 2021)

Benchmarking of Fully Connected and Convolutional Neural Networks on Face Recognition: Case of Makeup and Occlusions. - Stanislav Selitskiy; Nikolaos Christou; Natalya Selitskaya (SAI (3), 2021)

Detection of Credit Card Frauds with Machine Learning Solutions: An Experimental Approach. - Courage Mabani; Nikolaos Christou; Sergey Katkov (SAI (1), 2022)