N. S. T. Hirata and G. A. Papakostas, “On Machine-Learning Morphological Image Operators,” Mathematics, vol. 9, no. 16, p. 1854, Aug. 2021.
V. Holeva, V. A. Nikopoulou, P. Kechayas, M. D. Kerasidou, M. Papadopoulou, G. A. Papakostas, V. G. Kaburlasos, A. Evangeliou, “Robot-assisted relaxation training for children with autism spectrum disorders”, World Academy of Science, Engineering and Technology (WASET) International Journal of Psychological and Behavioral Sciences, International Scholarly and Scientific Research & Innovation, vol. 15, no. 8, pp. 711-714, August 2021. https://publications.waset.org/vol/176 (Open Access)
G. A. Papakostas, G. K. Sidiropoulos, C. Lytridis, C. Bazinas, V. G. Kaburlasos, E. Kourampa, E. Karageorgiou, P. Kechayas, M. T. Papadopoulou, “Estimating children engagement interacting with robots in special education using machine learning”, Mathematical Problems in Engineering, Special Issue on “Recent Trends in Advance Robotic Systems”, vol. 2021, Article ID 9955212, https://doi.org/10.1155/2021/9955212
G. A. Papakostas, G. K. Sidiropoulos, C. I. Papadopoulou, E. Vrochidou, V. G. Kaburlasos, M. T. Papadopoulou, V. Holeva, V.-A. Nikopoulou, N. Dalivigkas, “Social robots in special education: a systematic review”. Electronics. 2021, 10 (12), 1398; https://doi.org/10.3390/electronics10121398 (Special Issue on Recent Advances in Educational Robotics – Section “Artificial Intelligence”. Guest Editors: Savvas A. Chatzichristofis and Zinon Zinonos)
Τ. Kalampokas, Ε. Vrochidou, G. A. Papakostas, T. Pachidis, and V. G. Kaburlasos, “Grape stem detection using regression convolutional neural networks,” Comput. Electron. Agric., vol. 186, p. 106220, Jul. 2021, doi: 10.1016/j.compag.2021.106220.
Greek