Michele De Filippo De Grazia
Michele De Filippo De Grazia
Computational Cognitive Neuroscience Lab, Department of General Psychology, University of Padova
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Cognition-Based Networks: a New Perspective on Network Optimization Using Learning and Distributed Intelligence
M Zorzi, A Zanella, A Testolin, M De Filippo De Grazia, M Zorzi
IEEE, 2015
932015
A machine learning approach to QoE-based video admission control and resource allocation in wireless systems
A Testolin, M Zanforlin, MDF De Grazia, D Munaretto, A Zanella, M Zorzi, ...
2014 13th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET), 31-38, 2014
502014
A new adaptive videogame for training attention and executive functions: design principles and initial validation
V Montani, M De Filippo De Grazia, M Zorzi
Frontiers in Psychology 5, 409, 2014
442014
Deep unsupervised learning on a desktop PC: A primer for cognitive scientists
A Testolin, I Stoianov, M De Filippo De Grazia, M Zorzi
Frontiers in Psychology 4, 251, 2013
332013
Parallelization of Deep Networks
M De Filippo De Grazia, I Stoianov, M Zorzi
European Symposium on Artificial Neural Networks, Computational Intelligenceá…, 2012
16*2012
Application of the preference learning model to a human resources selection task
F Aiolli, M De Filippo De Grazia, A Sperduti
Computational Intelligence and Data Mining, 2009. CIDM'09. IEEE Symposium oná…, 2009
142009
On the relationship between the underwater acoustic and optical channels
R Diamant, F Campagnaro, MDF De Grazia, P Casari, A Testolin, ...
IEEE Transactions on Wireless Communications 16 (12), 8037-8051, 2017
122017
QoE multi-stage machine learning for dynamic video streaming
MDF De Grazia, D Zucchetto, A Testolin, A Zanella, M Zorzi, M Zorzi
IEEE Transactions on Cognitive Communications and Networking 4 (1), 146-161, 2017
112017
The role of architectural and learning constraints in neural network models: a case study on visual space coding
A Testolin, M De Filippo De Grazia, M Zorzi
Frontiers in computational neuroscience 11, 13, 2017
112017
A comparison of shallow and deep learning methods for predicting cognitive performance of stroke patients from MRI lesion images
S Chauhan, L Vig, MDF De Grazia, M Corbetta, S Ahmad, M Zorzi
Frontiers in neuroinformatics 13, 2019
92019
Space coding for sensorimotor transformations can emerge through unsupervised learning
M De Filippo De Grazia, S Cutini, M Lisi, M Zorzi
Cognitive processing 13 (1), 141-146, 2012
72012
Post-stroke deficit prediction from lesion and indirect structural and functional disconnection
A Salvalaggio, M De Filippo De Grazia, M Zorzi, M Thiebaut de Schotten, ...
Brain 143 (7), 2173-2188, 2020
42020
A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data
F Calesella, A Testolin, MDF De Grazia, M Zorzi
International Conference on Brain Informatics, 29-40, 2020
2020
Exploring the statistical relation between the underwater acoustic and optical channels
R Diamant, F Campagnaro, M de Filippo de Grazia, A Testolin, ...
2017
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Artikelen 1–14