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Rekatsinas C., Krokidas P., Vavourakis V., Essmann C. and Giannakopoulos G., A Physics Constrained Machine Learning Pipeline for Young’s Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics, In Advanced Intelligent Discovery, Wiley, 2025. [pdf] [doi]

Kelesis D., Fotakis D. and Paliouras G., Partially trained graph convolutional networks resist oversmoothing, In Machine Learning, Springer Science and Business Media LLC, volume 114, 2025. [url] [doi]

Mitsea E., Drigas A. and Skianis C., A Systematic Review of Serious Games in the Era of Artificial Intelligence, Immersive Technologies, the Metaverse, and Neurotechnologies: Transformation Through Meta-Skills Training, In Electronics, MDPI AG, volume 14, (Pages: 649), 2025. [pdf] [doi]

Kelesis D., Fotakis D. and Paliouras G., Analyzing the effect of residual connections to oversmoothing in graph neural networks, In Machine Learning, Springer Science and Business Media LLC, volume 114, 2025. [url] [doi]

Papadopoulos D. I., Giannakopoulos G., Karkaletsis V. and Rekatsinas C., A data-lean machine learning approach for damage extent estimation and classification in composite structures under multiple failure modes, In Machine Learning: Science and Technology, IOP Publishing, volume 6, (Pages: 035042), 2025. [pdf] [doi]

M. Stracke C., Nahar N., Punzo V., Massaro S., Pappa D., Di Grassi A., Bećirović S., Hollins P., Ziouvelou X., Prifti Skenduli M. and Burgos D., Artificial Intelligence Policies for Higher Education: Manifesto for Critical Considerations and a Roadmap, In MAP Education and Humanities, MAP, (Pages: 61–73), 2025. [pdf] [doi]

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]

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]

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