Direction: AI-based Multimodal Analytics

Efficient Multi-Criteria Important Node Identification via Ego-Network Approximation

A. Kosmatopoulos, T. Skouras, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Efficient Multi-Criteria Important Node Identification via Ego-Network Approximation.", in Proceedings of the 12th International Conference on Social Networks Analysis, Management and Security (SNAMS), Vienna, Austria, November 25-28, 2025, Best Paper Award.

X-INCEPD: Enhancing Inception-based Model for Parkinson’s Disease Prediction with Explainable AI

N. Tsolakis, C. Maga-Nteve, S. Vrochidis, G. Meditskos, "X-INCEPD: Enhancing Inception-based Model for Parkinson’s Disease Prediction with Explainable AI", in Proceedings of the IISA 2025, Mytilene, Island of Lesbos, Greece, July 10-12, 2025.

Utilizing Signal Data for Designing Interpretable Deep Learning Models for Cardiovascular Disease Prediction

G. Giannios, N. Tsolakis, C. Maga-Nteve, G. Meditskos, S. Vrochidis, "Utilizing Signal Data for Designing Interpretable Deep Learning Models for Cardiovascular Disease Prediction", Journal of Biomedical and Health Informatics, 2025

A deep one-class classifier for network anomaly detection using autoencoders and one-class support vector machines

P. Bountzis, D. Kavallieros, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "A deep one-class classifier for network anomaly detection using autoencoders and one-class support vector machines.", Frontiers in Computer Science, vol. 7, October 2025. DOI: 10.3389/fcomp.2025.1646679

Enhancing Change Point Detection Through Key Actor Identification: A study in Cryptocurrency Transactions Networks

O. Theodosiadou, A. Kosmatopoulos, T. Skouras, C. Gkiourtzidis, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Enhancing Change Point Detection Through Key Actor Identification: A study in Cryptocurrency Transactions Networks", IEEE Access, vol. 13, pp. 84620–84634, 2025. DOI:10.1109/ACCESS.2025.3566624