DE FILIPPO DE GRAZIA, MICHELE

DE FILIPPO DE GRAZIA, MICHELE  

Dipartimento di Psicologia Generale - DPG  

Mostra records
Risultati 1 - 12 di 12 (tempo di esecuzione: 0.028 secondi).
Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients 2021 Testolin A.De Filippo De Grazia M.Zorzi M. + BRAIN INFORMATICS - -
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images 2019 Chauhan, SuchetaDe Filippo De Grazia, MicheleCorbetta, MaurizioZorzi, Marco + FRONTIERS IN NEUROINFORMATICS - -
A new adaptive videogame for training attention and executive functions: design principles and initial validation 2014 MONTANI, VERONICADE FILIPPO DE GRAZIA, MICHELEZORZI, MARCO FRONTIERS IN PSYCHOLOGY - -
A novel stroke lesion network mapping approach: improved accuracy yet still low deficit prediction 2021 Pini, LorenzoSalvalaggio, AlessandroDe Filippo De Grazia, MicheleZorzi, MarcoThiebaut de Schotten, MichelCorbetta, Maurizio BRAIN COMMUNICATIONS - -
Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence 2015 ZORZI, MICHELEZANELLA, ANDREATESTOLIN, ALBERTODE FILIPPO DE GRAZIA, MICHELEZORZI, MARCO IEEE ACCESS - -
Deep Unsupervised Learning on a Desktop PC: A Primer for Cognitive Scientists 2013 TESTOLIN, ALBERTOSTOIANOV, IVILIN PEEVDE FILIPPO DE GRAZIA, MICHELEZORZI, MARCO FRONTIERS IN PSYCHOLOGY - -
On the Relationship between the Underwater Acoustic and Optical Channels 2017 Diamant, RoeeCAMPAGNARO, FILIPPODe Filippo De Grazia, MicheleCasari, PaoloTestolin, AlbertoZorzi, Michele + IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS - -
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. BRAIN - -
QoE Multi-Stage Machine Learning for Dynamic Video Streaming 2018 De Grazia, Michele De FilippoZucchetto, DanielTestolin, AlbertoZanella, AndreaZorzi, MarcoZorzi, Michele IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING - -
Reply: Lesion network mapping predicts post-stroke behavioural deficits and improves localization 2021 Salvalaggio ADe Filippo De Grazia MPini LThiebaut De Schotten MZorzi MCorbetta M. BRAIN - -
Reply: Lesion network mapping: where do we go from here? 2020 Salvalaggio, AlessandroPini, LorenzoDe Filippo De Grazia, MicheleThiebaut De Schotten, MichelZorzi, MarcoCorbetta, Maurizio BRAIN - -
The role of architectural and learning constraints in neural network models: A case study on visual space coding 2017 Testolin, AlbertoDe Filippo De Grazia, MicheleZorzi, Marco FRONTIERS IN COMPUTATIONAL NEUROSCIENCE - -