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Mostrati risultati da 1 a 18 di 18
Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders 2022 Testolin, AlbertoDe Filippo De Grazia, MicheleZorzi, Marco + - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Lecture Notes in Artificial Intelligence
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 - -
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 - -
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. - - Lecture Notes in Artificial Intelligence
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 - -
Reply: Lesion network mapping: where do we go from here? 2020 Salvalaggio, AlessandroPini, LorenzoDe Filippo De Grazia, MicheleThiebaut De Schotten, MichelZorzi, MarcoCorbetta, Maurizio BRAIN - -
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 - -
A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data 2020 Testolin A.De Filippo De Grazia M.Zorzi M. + - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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 - -
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 - -
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 - -
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 - -
COBANETS: A new paradigm for cognitive communications systems 2016 ZORZI, MICHELEZANELLA, ANDREATESTOLIN, ALBERTODE FILIPPO DE GRAZIA, MICHELEZORZI, MARCO - - 2016 International Conference on Computing, Networking and Communications, ICNC 2016
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 - -
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 machine learning approach to QoE-based video admission control and resource allocation in wireless systems 2014 TESTOLIN, ALBERTOZANFORLIN, MARCODE FILIPPO DE GRAZIA, MICHELEMUNARETTO, DANIELEZANELLA, ANDREAZORZI, MARCOZORZI, MICHELE - - Proceedings of the 13th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET)
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 - -
Parallelization of deep networks 2012 De Grazia, Michele De FilippoStoianov, IvilinZorzi, Marco - - ESANN 2012 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Mostrati risultati da 1 a 18 di 18
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