Deep Learning for Biometric Face Recognition: Experimental Study on Benchmark Data Sets. - Natalya Selitskaya; Stanislaw Sielicki; Livia Jakaite; Vitaly Schetinin; F. Evans; Marc Conrad; Paul Sant (Deep Biometrics, 2020)

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)

Loss Function with Memory for Trustworthiness Threshold Learning: Case of Face and Facial Expression Recognition. - Stanislav Selitskiy; Natalya Selitskaya (LOD (1), 2022)