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Lima-López S., Farré-Maduell E., Gascó L., Nentidis A., Krithara A., Katsimpras G., Paliouras G. and Krallinger M., Overview of MedProcNER Task on Medical Procedure Detection and Entity Linking at BioASQ 2023, In Conference and Labs of the Evaluation Forum, 2023. [pdf]

Psallidas T. and Spyrou E., Video Summarization Based on Feature Fusion and Data Augmentation, In Computers, MDPI AG, volume 12, (Pages: 186), 2023. [pdf] [doi]

Bochalis C., Vargas C.D.M., Jarvis E.D. and Giannakopoulos T., Unsupervised Temporal Analysis of Mouse Vocalizations, In Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), IEEE, (Pages: 1–8), 2023. [pdf] [doi]

Sevastopoulos C., Theofanidis M., Hebri A., Konstantopoulos S., Karkaletsis V. and Makedon F., Indoors Traversability Estimation with RGB-Laser Fusion, In 19th International Conference on Automation Science and Engineering (CASE), IEEE, (Pages: 1–7), 2023. [pdf] [doi]

Verloigne M., Altenburg T., Cardon G., Chinapaw M., Dall P., Deforche B., Giné-Garriga M., Lippke S., Papadopoulos H., Pappa D., Sandlund M., Schreier M., Wadell K. and Chastin S., Making co-creation a trustworthy methodology for closing the implementation gap between knowledge and action in health promotion: the Health CASCADE project, In Perspectives in Public Health, SAGE Publications, volume 143, (Pages: 196–198), 2023. [pdf] [doi]

Balaskas G., Papadopoulos H., Loisel Q., Pappa D., Efthymoglou G. and Chastin S., An end-to-end system for transcription, translation, and summarization to support the co-creation process. A Health CASCADE Study., In Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, ACM, (Pages: 625–631), 2023. [pdf] [doi]

Makropoulos G., Fragkos D., Koumaras H., Cijan J., Koršič L. and Sušnik R., 5G and B5G NEF exposure capabilities towards an Industrial IoT use case, In 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), IEEE, (Pages: 647–651), 2023. [pdf] [doi]

Chochliouros I.P., Kourtis M.A., Xilouris G., Tavernier W., Sanchez E.A., Anastassova M., Bolzmacher C., Tcholtchev N., Corsi A., Trakadas P., Millet M., Xenakis C., Imeri A., Bellesini F., D’Ostilio P., Markakis A., Engin I.B., Litke A., Quarato L.M., Cugat D., Gardikis G., Zarakovitis C., Bouilland S., Zaharis Z., Lessi C., Arvanitozisis D. and Spiliopoulou A.S., OASEES: An Innovative Scope for a DAO-Based Programmable Swarm Solution, for Decentralizing AI Applications Close to Data Generation Locations, Chapter in Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, Springer Nature Switzerland, (Pages: 91–105), 2023. [pdf] [doi]

Tsolkas D., Abad M., Alcaraz-Calero J.M., Araújo M., Barbosa R., Christofi L., Corici M.I., Duarte P., Ericson M., Fonseca J., Fragkos D. and Gavrielides A., 7. Towards Continuously Programmable Networks, Chapter in Towards Sustainable and Trustworthy 6G: Challenges, Enablers, and Architectural Design, Now Publishers, 2023. [pdf] [doi]

Vernikos I., Giannopoulos G., Christopoulou A., Begaj A., Stefouli M., Bratsolis E. and Charou E., A dataset of Earth Observation Data for Lithological Mapping using Machine Learning, In EGU23, EGU General Assembly 2023, 2023. [url] [doi]

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