The operation of a machine in the “physical” environment is typically supported by arithmetic models. However, when a human is involved there might emerge non-numerical data…
Our orientation is toward the development of machines with a capacity to interact with humans in various applications including education, precision farming, patrolling in the physical environment and other.
Our orientation is toward the conversion of our laboratory prototypes in commercial products.
(Greek) Ο διευθυντής του εργαστηρίου Αλληλεπίδρασης Ανθρώπου-με-Μηχανές καθ. Βασίλης Καμπουρλάζος, έδωσε συνέντευξη στην ενημερωτική εκπομπή Ο3 όμικρον τρία της ΕΡΤ3.
(Greek) Ο διευθυντής του εργαστηρίου Αλληλεπίδρασης Ανθρώπου-με-Μηχανές καθ. Βασίλης Καμπουρλάζος, έδωσε συνέντευξη στην ενημερωτική εκπομπή Ο3 όμικρον τρία της ΕΡΤ3.
V.N. Tsakalidou, P. Mitsou, G. A. Papakostas, “Machine learning for cloud resources management – An overview,” International Conference on Expert Clouds and Applications, 2021, Bangalore, India
K.D. Apotolidis, P.S. Amanatidis, G. A. Papakostas, “Performance Evaluation of Convolutional Neural Networks for Gait Recognition,” 24th Pan-Hellenic Conference on Informatics (PCI) 2020.
G. Sidiropoulos, A. Ouzounis, G. A. Papakostas, I. Sarafis, A. Stamkos, G. Solakis, “Texture Analysis for Machine Learning Based Marble Tiles Sorting,”IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC).
K. Tziridis, T. Kalampokas, G.A. Papakostas, “EEG Signal Analysis for Seizure Detection Using Recurrence Plots and Tchebichef Moments”, IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC).
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