An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction. - Theodoros Theodoropoulos; Angelos-Christos Maroudis; John Violos; Konstantinos Tserpes (BigDataService, 2021)

Multi-Level Cognitive, Risk-Aware Reconfiguration of the Level of Autonomy in Highly Automated Vehicles. - Konstantina Karathanasopoulou; Angelos-Christos Maroudis; George Dimitrakopoulos 001; Elias Panagiotopoulos; John Violos (IECON, 2022)

Multi-Service Demand Forecasting Using Graph Neural Networks. - Theodoros Theodoropoulos; Antonios Makris; Ioannis Kontopoulos; Angelos-Christos Maroudis; Konstantinos Tserpes (SOSE, 2023)

WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting. - Theodoros Theodoropoulos; Angelos-Christos Maroudis; Antonios Makris; Konstantinos Tserpes (CoRR, 2024)

Leveraging Graph Neural Networks for SLA Violation Prediction in Cloud Computing. - Angelos-Christos Maroudis; Theodoros Theodoropoulos; John Violos; Aris Leivadeas; Konstantinos Tserpes (IEEE Trans. Netw. Serv. Manag., 2024)

Fairness-Aware Graph Neural Networks for ICU Length of Stay Prediction in IoT-Enabled Environments. - Angelos-Christos Maroudis; Konstantina Karathanasopoulou; Charithea Stylianides; George Dimitrakopoulos 001; Andreas S. Panayides (IEEE Access, 2025)

WEST GCN-LSTM: Weighted stacked spatio-temporal graph neural networks for regional traffic forecasting. - Theodoros Theodoropoulos; Angelos-Christos Maroudis; Uwe Zdun; Antonios Makris; Konstantinos Tserpes (Int. J. Inf. Manag. Data Insights, 2025)