DEL PUP, FEDERICO
DEL PUP, FEDERICO
Dipartimento di Ingegneria dell'Informazione - DEI
Quantitative neuroimaging meets normative modelling: the last mile for precision medicine applications
2026 Maccioni, L.; Giacomel, A.; Pinamonti, M.; De Francisci, M.; Del Pup, F.; Giubergia, A.; Vallini, G.; Visani, V.; Barzon, L.; Dipasquale, O.; Bertoldo, A.; Moretto, M.; Veronese, M.
TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson's disease detection
2026 Del Pup, F.; Brun, R.; Iotti, F.; Paccagnella, E.; Pezzato, M.; Bertozzo, S.; Zanola, A.; Tshimanga, L. F.; Muller, H.; Atzori, M.
Understanding Model Generalizability in Deep Learning-Based Electroencephalography Analysis and How Self-Supervised Learning Can Improve It
2026 Del Pup, Federico
Self-Supervised Representation Learning for EEG-Based Detection of Neurodegenerative Diseases
2025 Del Pup, F.; Tshimanga, L. F.; Zanola, A.; Taffarello, L.; Tentori, E.; Atzori, M.
The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications
2025 Del Pup, F.; Zanola, A.; Fabrice Tshimanga, L.; Bertoldo, A.; Atzori, M.
The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: A preliminary study
2025 Del Pup, F.; Zanola, A.; Tshimanga, L. F.; Bertoldo, A.; Finos, L.; Atzori, M.
xEEGNet: towards explainable AI in EEG dementia classification
2025 Zanola, A.; Fabrice Tshimanga, L.; Del Pup, F.; Baiesi, M.; Atzori, M.
BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories
2024 Zanola, A.; Del Pup, F.; Porcaro, C.; Atzori, M.
Toward improving reproducibility in neuroimaging deep learning studies
2024 Del Pup, F.; Atzori, M.
An Overview of Open Source Deep Learning-Based Libraries for Neuroscience
2023 Tshimanga, L. F.; Del Pup, F.; Corbetta, M.; Atzori, M.