Petsangourakis G., Sgouropoulos C., Psomas B., Giannakopoulos T., Sfikas G. and Kakogeorgiou I., REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion, arXiv, 2025. [pdf] [doi]
Pergantis P., Bamicha V., Doulou A., Christou A. I., Bardis N., Skianis C. and Drigas A., Assistive and Emerging Technologies to Detect and Reduce Neurophysiological Stress and Anxiety in Children and Adolescents with Autism and Sensory Processing Disorders: A Systematic Review, In Technologies, MDPI AG, volume 13, (Pages: 144), 2025. [pdf] [doi]
Nikou C., Theiou V., Vlachos S., Sgouropoulos C., Sgouropoulos D. and Giannakopoulos T., On the Robustness of State-of-the-Art Transformers for Sound Event Classification Against Black Box Adversarial Attacks, In 2025 33rd European Signal Processing Conference (EUSIPCO), IEEE, (Pages: 136–140), 2025. [pdf] [doi]
Sasi C., Piepenbrock J., Huynen M. A., Krithara A., Aisopos F., Svolou S., Lekka E., Virvilis V. and ’t Hoen P.-B., Benchmarking Artificial Intelligence Algorithms for Drug Repurposing on Open Targets Platform, In International Drug Repurposing Conference 2025, ScienceOpen, 2025. [url] [doi]
Mantenoglou P. and Artikis A., Sequencing in the Run-Time Event Calculus, In Proceedings of the 28th European Conference on Artificial Intelligence (ECAI 2025), IOS Press, 2025. [pdf] [doi]
Vottas M., Aisopos F., Bougiatiotis K. and Krithara A., Predicting Multi-Type Drug-Drug Interactions Using a Disease-Specific Knowledge Graph, In 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), IEEE, (Pages: 757–762), 2025. [url] [doi]
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]
Alexopoulou A., Pergantis P., Koutsojannis C., Triantafillou V. and Drigas A., Non-Invasive BCI-VR Applied Protocols as Intervention Paradigms on School-Aged Subjects with ASD: A Systematic Review, In Sensors, MDPI AG, volume 25, (Pages: 1342), 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]