ZANOLA, ANDREA
ZANOLA, ANDREA
Università di Padova
Beyond proportional recovery in wake-up stroke: unsupervised recovery clusters based on the NIHSS
2026 Zanola, Andrea; Bisogno, Antonio Luigi; Vadinova, Veronika; Thomalla, Götz; Cheng, Bastian; Atzori, Manfredo; Corbetta, Maurizio
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.
Unsupervised extraction of knowledge from multimodal biomedical data
2026 Zanola, Andrea
Behavioral Clusters and Lesion Distributions in Ischemic Stroke, Based on NIHSS Similarity Network
2025 Tshimanga, L. F.; Zanola, A.; Facchini, S.; Bisogno, A. L.; Pini, L.; Atzori, M.; Corbetta, M.
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.
Preliminary evaluation of the climate-induced fatigue in wood: A physical and computational approach
2023 Califano, A.; Zanola, A.; Di Terlizzi, I.; Baiesi, M.; Bertolin, C.
Natural climate reconstruction in the Norwegian stave churches through time series processing with variational autoencoders
2022 Manara, N; Rosset, L; Zambelli, F; Zanola, A; Califano, A