Performance Evaluation of Convolutional Neural Networks for Gait Recognition. - Kyriakos Apostolidis; Petros Amanatidis; George A. Papakostas (PCI, 2020)

Evaluating Convolutional Neural Networks for No -Reference Image Quality Assessment. - Kyriakos D. Apostolidis; Theodore Polyzos; Ioannis Grigoriadis; George A. Papakostas (ICSPIS, 2021)

Grapevine Plant Image Dataset for Pruning. - Kyriakos D. Apostolidis; Theofanis Kalampokas; Theodore P. Pachidis; Vassilis G. Kaburlasos (Data, 2022)

Fsmpy: A Fuzzy Set Measures Python Library. - George K. Sidiropoulos; Kyriakos D. Apostolidis; Nikolaos Damianos; George A. Papakostas (Inf., 2022)

Text Classification Using Intuitionistic Fuzzy Set Measures - An Evaluation Study. - George K. Sidiropoulos; Nikolaos Diamianos; Kyriakos D. Apostolidis; George A. Papakostas (Inf., 2022)

Digital Watermarking as an Adversarial Attack on Medical Image Analysis with Deep Learning. - Kyriakos D. Apostolidis; George A. Papakostas (J. Imaging, 2022)

Innovative Visualization Approach for Biomechanical Time Series in Stroke Diagnosis Using Explainable Machine Learning Methods: A Proof-of-Concept Study. - Kyriakos Apostolidis; Christos Kokkotis; Evangelos G. Karakasis; Evangeli Karampina; Serafeim P. Moustakidis; Dimitrios Menychtas; Georgios Giarmatzis; Dimitrios Tsiptsios; Konstantinos Vadikolias; Nikolaos Aggelousis (Inf., 2023)

Machine Learning Algorithms for the Prediction of Language and Cognition Rehabilitation Outcomes of Post-stroke Patients: A Scoping Review. - Kyriakos Apostolidis; Christos Kokkotis; Serafeim P. Moustakidis; Evangelos G. Karakasis; Paraskevi Sakellari; Christina Koutra; Dimitrios Tsiptsios; Stella Karatzetzou; Konstantinos Vadikolias; Nikolaos Aggelousis (Hum. Centric Intell. Syst., 2024)