DE FILIPPO DE GRAZIA, MICHELE
DE FILIPPO DE GRAZIA, MICHELE
Dipartimento di Psicologia Generale - DPG
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients
2021 Calesella, F.; Testolin, A.; De Filippo De Grazia, M.; Zorzi, M.
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images
2019 Chauhan, Sucheta; Vig, Lovekesh; De Filippo De Grazia, Michele; Corbetta, Maurizio; Ahmad, Shandar; Zorzi, Marco
A machine learning approach to QoE-based video admission control and resource allocation in wireless systems
2014 Testolin, Alberto; Zanforlin, Marco; DE FILIPPO DE GRAZIA, Michele; Munaretto, Daniele; Zanella, Andrea; Zorzi, Marco; Zorzi, Michele
A new adaptive videogame for training attention and executive functions: design principles and initial validation
2014 Montani, Veronica; DE FILIPPO DE GRAZIA, Michele; Zorzi, Marco
A novel stroke lesion network mapping approach: improved accuracy yet still low deficit prediction
2021 Pini, Lorenzo; Salvalaggio, Alessandro; De Filippo De Grazia, Michele; Zorzi, Marco; Thiebaut de Schotten, Michel; Corbetta, Maurizio
A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data
2020 Calesella, F.; Testolin, A.; De Filippo De Grazia, M.; Zorzi, M.
Assessment of Machine Learning Pipelines for Prediction of Behavioral Deficits from Brain Disconnectomes
2021 Zorzi, M.; De Filippo De Grazia, M.; Blini, E.; Testolin, A.
COBANETS: A new paradigm for cognitive communications systems
2016 Zorzi, Michele; Zanella, Andrea; Testolin, Alberto; DE FILIPPO DE GRAZIA, Michele; Zorzi, Marco
Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence
2015 Zorzi, Michele; Zanella, Andrea; Testolin, Alberto; DE FILIPPO DE GRAZIA, Michele; Zorzi, Marco
Deep Unsupervised Learning on a Desktop PC: A Primer for Cognitive Scientists
2013 Testolin, Alberto; Stoianov, IVILIN PEEV; DE FILIPPO DE GRAZIA, Michele; Zorzi, Marco
On the Relationship between the Underwater Acoustic and Optical Channels
2017 Diamant, Roee; Campagnaro, Filippo; De Filippo De Grazia, Michele; Casari, Paolo; Testolin, Alberto; Sanjuan Calzado, Violeta; Zorzi, Michele
Parallelization of deep networks
2012 De Grazia, Michele De Filippo; Stoianov, Ivilin; Zorzi, Marco
Post-stroke deficit prediction from lesion and indirect structural and functional disconnection
2020 Salvalaggio, A.; De Filippo De Grazia, M.; Zorzi, M.; Thiebaut de Schotten, M.; Corbetta, M.
Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders
2022 Irarte, Delfina; Testolin, Alberto; De Filippo De Grazia, Michele; Zorzi, Marco
QoE Multi-Stage Machine Learning for Dynamic Video Streaming
2018 De Grazia, Michele De Filippo; Zucchetto, Daniel; Testolin, Alberto; Zanella, Andrea; Zorzi, Marco; Zorzi, Michele
Reply: Lesion network mapping predicts post-stroke behavioural deficits and improves localization
2021 Salvalaggio, A; De Filippo De Grazia, M; Pini, L; Thiebaut De Schotten, M; Zorzi, M; Corbetta, M.
Reply: Lesion network mapping: where do we go from here?
2020 Salvalaggio, Alessandro; Pini, Lorenzo; De Filippo De Grazia, Michele; Thiebaut De Schotten, Michel; Zorzi, Marco; Corbetta, Maurizio
The role of architectural and learning constraints in neural network models: A case study on visual space coding
2017 Testolin, Alberto; De Filippo De Grazia, Michele; Zorzi, Marco