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Davvetas A., Klampanos I., Skiadopoulos S. and Karkaletsis V., Evidence Transfer: Learning Improved Representations According to External Heterogeneous Task Outcomes, In ACM Transactions on Knowledge Discovery from Data, Association for Computing Machinery (ACM), volume 16, (Pages: 1–22), 2022. [pdf] [doi]

Panagiotis Kaddas, Basilis Gatos, Using Multi-level Segmentation Features for Document Image Classification, In International Workshop on Document Analysis and Systems (DAS), Springer International Publishing, (Pages: 702–712), 2022. [pdf] [doi]

Christopoulou M., Barmpounakis S., Koumaras H. and Kaloxylos A., Artificial Intelligence and Machine Learning as key enablers for V2X communications: A comprehensive survey, In Vehicular Communications, Elsevier BV, (Pages: 100569), 2022. [url] [doi]

Ntontin K., Boulogeorgos A.-A.A., Bjornson E., Selimis D., Martins W.A., Abadal S., Alexiou A., Lazarakis F., Kisseleff S. & Chatzinotas S., Autonomous Reconfigurable Intelligent Surfaces Through Wireless Energy Harvesting, In 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), IEEE, 2022. [pdf] [doi]

Ioannis Manolopoulos, Dimitrios Loukatos, Kimon Kontovasilis, A Versatile MANET Experimentation Platform and Its Evaluation through Experiments on the Performance of Routing Protocols under Diverse Conditions, In Future Internet, MDPI AG, volume 14, (Pages: 154), 2022. [url] [doi]

Fragkos D., Makropoulos G., Gogos A., Koumaras H. and Kaloxylos A., NEFSim: An open experimentation framework utilizing 3GPP's exposure services, In 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), IEEE, 2022. [url] [doi]

Konstantakos V., Nentidis A., Krithara A., Paliouras G., CRISPR-Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning, In Nucleic Acids Research, Oxford University Press (OUP), volume 50, (Pages: 3616–3637), 2022. [pdf] [doi]

Koumaras H., Tsolkas D., Garcia J., Artunedo D., Garcia B., Marco R., Salkintzis A., Fragkos D., Makropoulos G., Setaki F., Diaz A., Merino P., Koumaras V., Encinar P., and Karadimas Y., A network programmability framework for vertical applications in the beyond 5G era, In 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), IEEE, 2022. [url] [doi]

Nikiforos Alygizakis, Theodoros Giannakopoulos, Nikolaos S. Thomaidis, Jaroslav Slobodnik, Detecting the sources of chemicals in the Black Sea using non-target screening and deep learning convolutional neural networks, In Science of The Total Environment, Elsevier BV, volume 847, (Pages: 157554), 2022. [url] [doi]

Tsolis A., Vlachodimitropoulos V., Lampiris S., Lazarakis F. & Alexandridis A.A, Link Budget Analysis for Line of Sight Communications in D-band: Radio Coverage vs. Antenna Gain, In 2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), IEEE, 2022. [pdf] [doi]

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