Journals

1. T. Papadopoulos, I. Kosmas, G. Botsoglou, N. I. Dourvas, C. Maga-Nteve, C. Michalakelis, "Predicting Consumer Service Price Evolution during the COVID-19 Pandemic: An Optimized Machine Learning Approach.",Electronics. 2023; 12(18):3806. https://doi.org/10.3390/electronics12183806

Conference

1. E. Patsiouras, S. Kyriakou Vasileiou, S. Papadopoulos, N. I. Dourvas, K. Ioannidis, S. Vrochidis, I. Kompatsiaris, "Integrating AI and Computer Vision for Ballistic and Bloodstain Analysis in 3D Digital Forensics.", In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), St Albans, UK, October 21-23, 2024.
2. I. Koulalis, N. Dourvas, T. Triantafyllidis, K. Ioannidis, S. Vrochidis, I. Kompatsiaris, "A survey for image based methods in construction: from images to digital twins", In 19th International Conference on Content-based Multimedia Indexing (CBMI 2022), Graz, Austria, 14-16 September 2022, Pages 103-110. DOI:https://doi.org/10.1145/3549555.3549594
3. N. Dourvas, A. Papagianni, I. Koulalis, K. Ioannidis, S. Vrochidis, I. Kompatsiaris, "An early-warning system for fire spreading by monitoring simple climate conditions and combining Cellular Automata with Digital Twins.", In IEEE International Workshop on Metrology for Living Environment (MetroLivEn), 25-27 May, 2022, pp. 252-257, DOI: 10.1109/MetroLivEnv54405.2022.9826950