TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning. - Vasilis Kochliaridis; Eleftherios Kouloumpris; Ioannis P. Vlahavas (AIAI (1), 2022)

Combining deep reinforcement learning with technical analysis and trend monitoring on cryptocurrency markets. - Vasilis Kochliaridis; Eleftherios Kouloumpris; Ioannis P. Vlahavas (Neural Comput. Appl., 2023)

ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. - Vasileios Kochliaridis; Ioannis Pierros; Georgios Romanos; Ioannis P. Vlahavas (ICPR (7), 2024)

Predictive Maintenance Under Absence of Sensor Data. - Ioannis Pierros; Vasileios Kochliaridis; Eirini Apostolidou; Eleni Delimpasi; Vasileios Zygouris; Ioannis P. Vlahavas (AIAI (2), 2024)

Optimizing Pretrained Transformers for Autonomous Driving. - Vasileios Kochliaridis; Evaggelos Kostinoudis; Ioannis P. Vlahavas (SETN, 2024)

UNSURE - A machine learning approach to cryptocurrency trading. - Vasilis Kochliaridis; Anastasia Papadopoulou; Ioannis P. Vlahavas (Appl. Intell., 2024)

Scaling Multi-Frame Transformers for End-to-End Driving. - Vasileios Kochliaridis; Filippos Moumtzidellis; Ioannis P. Vlahavas (ICAART (3), 2025)