Publications

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Rekatsinas, C., Giannakopoulos, G., & Karkaletsis E., Machine Learning driven health monitoring diagnostics focused on composite structures utilizing Smart Layers Spectral Elements, In 10th ECCOMAS Thematic Conference on Smart Structures and Materials, Dept. of Mechanical Engineering & Aeronautics University of Patras, 2023. [url] [doi]

Troumpoukis A., Klampanos I., Pantazi D., Tsalapati E., Albughdadi M., Alexe M., Baousis V., Barrilero O., Billière B. Bojor A., Branco P., Bruzzone L., Chietera A., Fournand P., Hall R., Hassan D., Lazzarini M., Luna A., Punjani D., Stamoulis G., Weikmann G., Ziółkowski M., Ziouvelou X., Koubarakis M., Karkaletsis V., Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation, In 2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService), IEEE, 2023. [pdf] [doi]

Markaki O., Papapostolou A., Mouzakitis S., Zrazinska I., Sobek U., Wilczek T., Troumpoukis A., Ziouvelou X., Karkaletsis, V., Carrasco A., Garcia M., Roger G., Micheli A., Codagnone J. A., de Prado M., O’Neill S., Encouraging AI Adoption by SMEs: Opportunities and Contributions by the ICT49 Project Cluster, In 2023 14th International Conference on Information Intelligence Systems & Applications (IISA), IEEE, 2023. [pdf] [doi]

Karozis S., Ziouvelou X. & Karkaletsis V., Mapping the national HPC ecosystem and training needs: The Greek paradigm, In The Journal of Supercomputing, Springer Science and Business Media LLC, volume 79, (Pages: 10691–10705), 2023. [pdf] [doi]

Giouvanopoulou K., Ziouvelou X., Katsamori D., Petasis G., Karkaletsis V., Values and Intangible Cultural Heritage: Policy Recommendations, In Capturing the IntAngible of Cultural Heritage (CaTCH), Online & Maribor, Slovenia, 2023. [pdf] [doi]

Ricci E., Nasikas D., Giannakopoulos G., Karkaletsis V., Vergadou N., COARSE GRAINED MOLECULAR SIMULATIONS FACILITATED BY MACHINE LEARNING, In 13th Panhellenic Scientific Conference on Chemical Engineering, 2022. [pdf]

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]

Ricci E., Giannakopoulos G., Karkaletsis V., Theodorou D. N., Vergadou N., Developing Machine-Learned Potentials for Coarse-Grained Molecular Simulations: Challenges and Pitfalls, In Proceedings of the SETN 2022 - 12th Hellenic Conference on Artificial Intelligence, ACM, 2022. [pdf] [doi]

Nasikas D., Ricci E., Giannakopoulos G., Karkaletsis V., Theodorou D. N., Vergadou N., Investigation of Machine Learning-based Coarse-Grained Mapping Schemes for Organic Molecules, In Proceedings of the SETN 2022 - 12th Hellenic Conference on Artificial Intelligence, ACM, 2022. [pdf] [doi]

Sevastopoulos C., Theofanidis M., Zadeh Z. M., Acharya S., Konstantopoulos St., Karkaletsis V., Makedon F., Indoors Traversability Estimation with Less Labels for Mobile Robots, In 2022 Sixth IEEE International Conference on Robotic Computing (IRC), IEEE, 2022. [pdf] [doi]

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