G. K. Sidiropoulos et al., “Exploiting Deep Metric Learning for Mable Quality Assessment with Small and Imbalanced Image Data,” in 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, BC, Canada, Oct. 2021, pp. 0266–0269. doi: 10.1109/IEMCON53756.2021.9623255.

G. Sidiropoulos, C. Kiourt, V. Sevetlidis, and G. Pavlidis, “Shaping the Behavior of Reinforcement Learning Agents,” in the 25th Pan-Hellenic Conference on Informatics, Volos, Greece, 2021, pp. 448–453.

G. K. Sidiropoulos and G. A. Papakostas, “Machine Biometrics - Towards Identifying Machines in a Smart City Environment,” in 2021 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, May 2021, pp. 0197–0201. doi: 10.1109/AIIoT52608.2021.9454230.

G. K. Sidiropoulos, A. G. Ouzounis, G. A. Papakostas, I. T. Sarafis, A. Stamkos, and G. Solakis, “Texture Analysis for Machine Learning Based Marble Tiles Sorting,” in 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), NV, USA, Jan. 2021, pp. 0045–0051. doi: 10.1109/CCWC51732.2021.9376086.

G. K. Sidiropoulos et al., “Measuring Engagement Level in Child-Robot Interaction Using Machine Learning Based Data Analysis,” in 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), Sakheer, Bahrain, Oct. 2020, pp. 1–5. doi: 10.1109/ICDABI51230.2020.9325676.

C. Lytridis et al., “Audio Signal Recognition Based on Intervals’ Numbers (INs) Classification Techniques,” in 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA), PATRAS, Greece, Jul. 2019, pp. 1–4. doi: 10.1109/IISA.2019.8900749.

P. I. Kiratsa, G. K. Sidiropoulos, E. V. Badeka, C. I. Papadopoulou, A. P. Nikolaou, and G. A. Papakostas, “Gender identification through facebook data analysis using machine learning techniques,” in Proceedings of the 22nd Pan-Hellenic Conference on Informatics, Athens Greece, Nov. 2018, pp. 117–120. doi: 10.1145/3291533.3291591.

E. Vrochidou et al., "Towards Robotic Marble Resin Application: Crack Detection on Marble Using Deep Learning", Electronics, vol. 11, no. 20, 2022.

G. K. Sidiropoulos, A. G. Ouzounis, G. A. Papakostas, A. Lampoglou, I. T. Sarafis, A. Stamkos, G. Solakis, “Hand-Crafted and Learned Feature Aggregation for Visual Marble Tiles Screening”, Journal of Imaging 8, no. 7, p. 191, doi: https://doi.org/10.3390/jimaging8070191

G. K. Sidiropoulos, N. Diamianos, K. D. Apostolidis, and G. A. Papakostas, “Text Classification Using Intuitionistic Fuzzy Set Measures—An Evaluation Study”, Information, vol. 13, no. 5, p. 235, May 2022, doi: 10.3390/info13050235.

G. K. Sidiropoulos, K. D. Apostolidis, N. Damianos, and G. A. Papakostas, “Fsmpy: A Fuzzy Set Measures Python Library,” Information, vol. 13, no. 2, p. 64, Jan. 2022, doi: 10.3390/info13020064.

G. A. Papakostas et al., “Estimating Children Engagement Interacting with Robots in Special Education Using Machine Learning,” Math. Probl. Eng., vol. 2021, pp. 1–10, Jun. 2021, doi: 10.1155/2021/9955212.

G. A. Papakostas et al., “Social Robots in Special Education: A Systematic Review,” Electronics, vol. 10, no. 12, p. 1398, Jun. 2021, doi: 10.3390/electronics10121398.

G. K. Sidiropoulos, P. Kiratsa, P. Chatzipetrou, and G. A. Papakostas, “Feature Extraction for Finger-Vein-Based Identity Recognition,” J. Imaging, vol. 7, no. 5, p. 89, May 2021, doi: 10.3390/jimaging7050089.

C. Lytridis et al., “Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques,” Sensors, vol. 22, no. 2, p. 621, Jan. 2022, doi: 10.3390/s22020621.

C. Lytridis et al., “Distance Special Education Delivery by Social Robots,” Electronics, vol. 9, no. 6, p. 1034, Jun. 2020, doi: 10.3390/electronics9061034.

G. Sidiropoulos, C. Kiourt, and L. Moussiades, “Crowd simulation for crisis management: The outcomes of the last decade,” Mach. Learn. Appl., vol. 2, p. 100009, Dec. 2020, doi: 10.1016/j.mlwa.2020.100009.

G. K. Sidiropoulos et al., “Synergy of Intelligent Algorithms for Efficient Child-Robot Interaction in Special Education: A Feasibility Study,” in Robotics in Education, vol. 1316, W. Lepuschitz, M. Merdan, G. Koppensteiner, R. Balogh, and D. Obdržálek, Eds. Cham: Springer International Publishing, 2021, pp. 98–105. doi: 10.1007/978-3-030-67411-3_9.

G. K. Sidiropoulos, C. Kiourt and L. Moussiades. “Metis: Multi-Agent Based Crisis Simulation System.” Games and AI, Technological, Cultural and Societal aspects (SETN 2020 Workshop), September 2nd-4th - Athens, Greece.

Athanasios Ouzounis, G. K. Sidiropoulos, G. Papakostas, I. Sarafis, A. Stamkos, and G. Solakis, “Interpretable Deep Learning for Marble Tiles Sorting,” in Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, Online Streaming, 2021, pp. 101–108.