Vasilis Kochliaridis

According to our database, Vasilis Kochliaridis authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

Generative point sampling strategies for physics-informed neural networks.

Vasileios Kochliaridis, Ioannis Dilmperis, Achilleas Palaskos, Ioannis P. Vlahavas

Eng. Comput., October, 2025

Scaling Multi-Frame Transformers for End-to-End Driving.

Vasileios Kochliaridis, Filippos Moumtzidellis, Ioannis P. Vlahavas

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Learning to InMoov: A Deep Learning Approach to Modeling Human Hand.

Vasileios Kochliaridis, Chrysoula Moschou, Alexandra Dimitrakopoulou, Vlahavas P. Ioannis

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

UNSURE - A machine learning approach to cryptocurrency trading.

Vasilis Kochliaridis, Anastasia Papadopoulou, Ioannis P. Vlahavas

Appl. Intell., April, 2024

Optimizing Pretrained Transformers for Autonomous Driving.

Vasileios Kochliaridis, Evaggelos Kostinoudis, Ioannis P. Vlahavas

Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024

Predictive Maintenance Under Absence of Sensor Data.

Ioannis Pierros, Vasileios Kochliaridis, Eirini Apostolidou, Eleni Delimpasi, Vasileios Zygouris, Ioannis P. Vlahavas

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

ViT² - Pre-training Vision Transformers for Visual Times Series Forecasting.

Vasileios Kochliaridis, Ioannis Pierros, Georgios Romanos, Ioannis P. Vlahavas

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Combining deep reinforcement learning with technical analysis and trend monitoring on cryptocurrency markets.

Vasilis Kochliaridis, Eleftherios Kouloumpris, Ioannis P. Vlahavas

Neural Comput. Appl., October, 2023

2022

TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning.

Vasilis Kochliaridis, Eleftherios Kouloumpris, Ioannis P. Vlahavas

Proceedings of the Artificial Intelligence Applications and Innovations, 2022