Panagiotis Fafoutellis

According to our database, Panagiotis Fafoutellis authored at least 6 papers between 2020 and 2025.

Collaborative distances:

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

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, January, 2025

2024

On the Connection Between Neural Activations and Uncertainty in Object Detection Transformers Using Topological Data Analysis.

Javier Del Ser, Aitor Martínez-Seras, Ibai Laña, Miren Nekane Bilbao, Panagiotis Fafoutellis, Eleni I. Vlahogianni

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023

Effects of Driving Behavior on Fuel Consumption with Explainable Gradient Boosting Decision Trees.

Christos Konstantinou, Panagiotis Fafoutellis, Eleni G. Mantouka, Charis Chalkiadakis, Petros Fortsakis, Eleni I. Vlahogianni

Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023

A Deep Learning Framework For Modeling Pedestrian - Vehicle Interactions In Shared Space.

Panagiotis Fafoutellis, Emmanouil Ph. Kampitakis, Eleni I. Vlahogianni

Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023

A Causal Deep Learning Framework for Traffic Forecasting.

Panagiotis Fafoutellis, Ibai Laña, Javier Del Ser, Eleni I. Vlahogianni

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2020

Dilated LSTM Networks for Short-Term Traffic Forecasting using Network-Wide Vehicle Trajectory Data.

Panagiotis Fafoutellis, Eleni I. Vlahogianni, Javier Del Ser

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020