Federico Del Pup

According to our database, Federico Del Pup authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson's disease detection.

Federico Del Pup, Riccardo Brun, Filippo Iotti, Edoardo Paccagnella, Mattia Pezzato, Sabrina Bertozzo, Andrea Zanola, Louis Fabrice Tshimanga, Henning Müller, Manfredo Atzori

Neurocomputing, 2026

2025

xEEGNet: Towards Explainable AI in EEG Dementia Classification.

Andrea Zanola, Louis Fabrice Tshimanga, Federico Del Pup, Marco Baiesi, Manfredo Atzori

CoRR, April, 2025

The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: A preliminary study.

Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo, Livio Finos, Manfredo Atzori

Comput. Biol. Medicine, 2025

2024

SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography.

Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Paolo Emilio Mazzon, Manfredo Atzori

J. Open Source Softw., April, 2024

2023

An overview of open source Deep Learning-based libraries for Neuroscience.

Louis Fabrice Tshimanga, Manfredo Atzori, Federico Del Pup, Maurizio Corbetta

CoRR, 2023

Applications of Self-Supervised Learning to Biomedical Signals: A Survey.

Federico Del Pup, Manfredo Atzori

IEEE Access, 2023