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) Το εργαστήριο ΑΜΑ, παρουσίασε τα έργα ΕΒΤΑΡ και ΚοιΡο3Ε στο “1ο Εσωτερικό Συνέδριο του Έρευνας και Καινοτομίας” του ΔιΠαΕ που διοργανώθηκε στη Θέρμη Θεσσαλονίκης.
(Greek) Το εργαστήριο ΑΜΑ, παρουσίασε τα έργα ΕΒΤΑΡ και ΚοιΡο3Ε στο “1ο Εσωτερικό Συνέδριο του Έρευνας και Καινοτομίας” του ΔιΠαΕ που διοργανώθηκε στη Θέρμη Θεσσαλονίκης.
Sorry, this entry is only available in Greek.
Sorry, this entry is only available in Greek.
T. Maliamanis and G.A. Papakostas, “DOME-T: Adversarial computer vision attack on deep learning models based on Tchebichef image moments,” The 13th International Conference on Machine Vision (ICMV 2020), November 02-06, 2020, Rome, Italy.
F. Filippidou and G. A. Papakostas, “Single Sample Face Recognition Using Convolutional Neural Networks for Automated Attendance Systems,” 4th International Conference on Intelligent Computing in Data Sciences (ICDS2020), Fez, Morocco, 2020.
G. Sidiropoulos, G.A. Papakostas, C. Lytridis, C. Bazinas, V. Kaburlasos, E. Kourampa, E. Karageorgiou, “Measuring Engagment Level in Child-Robot Interaction Using Machine Learning Based Data Analysis,” International Conference on Data Analytics for Business and Industry, 26-27 October 2020, Kingdom of Bahrain.
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