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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Citata da
Citata da
Anno
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
81*2015
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
462014
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
402014
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
312013
Parallelization of Deep Networks
M De Filippo De Grazia, I Stoianov, M Zorzi
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2012
14*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 on …, 2009
132009
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
102017
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
92017
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
82017
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
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
32019
Exploring the statistical relation between the underwater acoustic and optical channels
R Diamant, F Campagnaro, M de Filippo de Grazia, A Testolin, ...
2017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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