Exploring Deep Learning Models on GPR Data: A Comparative Study of AlexNet and VGG on a Dataset from Archaeological Sites. - Merope Manataki; Nikos Papadopoulos; Nikolaos Schetakis; Alessio Di Iorio (Remote. Sens., 2023)

An Open-Source Platform Addressing Structural Stability Risk Assesment in Historical Centres. - Nikolaos Schetakis; Betty Charalampopoulou; Thomas Papakosmas; Alessio Di Iorio (IGARSS, 2024)

Evaluating the role of generative AI and color patterns in the dissemination of war imagery and disinformation on social media. - Estibaliz García-Huete; Sara Ignacio-Cerrato; David Pacios; José Luis Vázquez-Poletti; María José Pérez-Serrano; Andrea Donofrio; Clemente Cesarano; Nikolaos Schetakis; Alessio Di Iorio (Frontiers Artif. Intell., 2024)

Towards Automated Model Selection for Wind Speed and Solar Irradiance Forecasting. - Konstantinos Blazakis; Nikolaos Schetakis; Paolo Bonfini; Konstantinos Stavrakakis; Emmanuel S. Karapidakis; Yiannis A. Katsigiannis (Sensors, 2024)

Power Theft Detection in Smart Grids Using Quantum Machine Learning. - Konstantinos Blazakis; Nikolaos Schetakis; Mahmoud M. Badr; Davit Aghamalyan; Konstantinos Stavrakakis; Georgios S. Stavrakakis (IEEE Access, 2025)

Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting. - Nikolaos Schetakis; Paolo Bonfini; Negin Alisoltani; Konstantinos Blazakis; Symeon Tsintzos; Alexis Askitopoulos; Davit Aghamalyan; Panagiotis Fafoutellis; Eleni I. Vlahogianni (CoRR, 2025)