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Batistatos M. C., De Cola T., Kourtis M. A., Apostolopoulou V., Xilouris G. K. and Sagias N. C., AGRARIAN: A Hybrid AI-Driven Architecture for Smart Agriculture, In Agriculture, MDPI AG, volume 15, (Pages: 904), 2025. [pdf] [doi]

Selimis D. G., de Guzman M. F., Haneda K., Sagias N. C., Lazarakis F. and Peppas K. P., Performance Analysis in the D-Band: A Pearson Type I Distribution Approach for Indoor and Outdoor Environments, In IEEE Transactions on Communications, Institute of Electrical and Electronics Engineers (IEEE), (Pages: 1–1), 2025. [pdf] [doi]

Papalamprou I., Leftheriotis A., Garos A., Gardikis G., Christopoulou M., Xilouris G., Argyriou L., Karamatskou A., Papadakis N., Kalotychos E., Chatzivasileiadis N., Masouros D., Theodoridis G. and Soudris D., Multi-Partner Project: Secure Hardware Accelerated Data Analytics for 6G Networks: The PRIVATEER Approach, In 2025 Design, Automation & Test in Europe Conference (DATE), IEEE, (Pages: 1–4), 2025. [pdf] [doi]

Alexandropoulos I., Koumaras H., Rentoula V., Papanikolaou-Ntais G., Georgoulas S. and Makropoulos G., Adversarial Robustness in Cognitive Systems: A Trustworthiness Assessment Perspective for 6G Networks, In Electronics, MDPI AG, volume 14, (Pages: 2285), 2025. [pdf] [doi]

Kelesis D., Fotakis D. and Paliouras G., Reducing oversmoothing through informed weight initialization in graph neural networks, In Applied Intelligence, Springer Science and Business Media LLC, volume 55, 2025. [pdf] [doi]

Zavitsanos E., Spyropoulou E., Giannakopoulos G. and Paliouras G., Machine Learning for Identifying Risk in Financial Statements: A Survey, In ACM Computing Surveys, Association for Computing Machinery (ACM), volume 57, (Pages: 1–37), 2025. [pdf] [doi]

Rentoumi V., Vassiliou E., Pittaras N., Demiraj A., Papageorgiou M., Sali D., Papatriantafyllou A., Griziotis P., Chardouveli A., Pattakos K. and Paliouras G., Linguistic cues for automatic assessment of Alzheimer’s disease across languages, In Journal of Alzheimer’s Disease, SAGE Publications, volume 104, (Pages: 656–666), 2025. [url] [doi]

Mathe E., Vernikos I., Spyrou E. and Mylonas P., Leveraging Artificial Occluded Samples for Data Augmentation in Human Activity Recognition, In Sensors, MDPI AG, volume 25, (Pages: 1163), 2025. [pdf] [doi]

Balaskas G., Papadopoulos H., Pappa D., Loisel Q. and Chastin S., A Framework for Domain-Specific Dataset Creation and Adaptation of Large Language Models, In Computers, MDPI AG, volume 14, (Pages: 172), 2025. [pdf] [doi]

Svolou S., Aisopos F., Krithara A. and Paliouras G., AI-Driven Drug Repurposing: A Knowledge Graph-based Approach for Rare Diseases, In AI-Driven Drug Repurposing: A Knowledge Graph-based Approach for Rare Diseases, ScienceOpen, 2025. [url] [doi]

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