Alberto Testolin
TitoloCitata daAnno
Modeling language and cognition with deep unsupervised learning: a tutorial overview
M Zorzi, A Testolin, IP Stoianov
Frontiers in psychology 4, 515, 2013
872013
Cognition-based networks: A new perspective on network optimization using learning and distributed intelligence
M Zorzi, A Zanella, A Testolin, MDF De Grazia, M Zorzi
IEEE Access 3, 1512-1530, 2015
682015
Probabilistic models and generative neural networks: Towards an unified framework for modeling normal and impaired neurocognitive functions
A Testolin, M Zorzi
Frontiers in Computational Neuroscience 10, 73, 2016
552016
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
412014
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
282013
Learning orthographic structure with sequential generative neural networks
A Testolin, I Stoianov, A Sperduti, M Zorzi
Cognitive Science 40 (3), 579-606, 2016
182016
Letter perception emerges from unsupervised deep learning and recycling of natural image features
A Testolin, I Stoianov, M Zorzi
Nature human behaviour 1 (9), 657, 2017
172017
An emergentist perspective on the origin of number sense
M Zorzi, A Testolin
Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018
112018
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
Cognition-based networks: Applying cognitive science to multimedia wireless networking
L Badia, D Munaretto, A Testolin, A Zanella, M Zorzi, M Zorzi
Proceeding of IEEE International Symposium on a World of Wireless, Mobile …, 2014
102014
A HMM-based pre-training approach for sequential data.
L Pasa, A Testolin, A Sperduti
ESANN, 2014
102014
COBANETS: A new paradigm for cognitive communications systems
M Zorzi, A Zanella, A Testolin, MDF De Grazia, M Zorzi
2016 International Conference on Computing, Networking and Communications …, 2016
92016
Neural Networks for Sequential Data: a Pre‐training Approach based on Hidden Markov Models
L Pasa, A Testolin, A Sperduti
Neurocomputing 169, 323-333, 2015
92015
Deep learning systems as complex networks
A Testolin, M Piccolini, S Suweis
arXiv preprint arXiv:1809.10941, 2018
82018
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
72017
Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning
Z Sadeghi, A Testolin
Cognitive processing 18 (3), 273-284, 2017
72017
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
52017
Assessment of sequential Boltmann machines on a lexical processing task.
A Testolin, A Sperduti, I Stoianov, M Zorzi
ESANN, 2012
32012
Numerosity Representation in InfoGAN: An Empirical Study
A Zanetti, A Testolin, M Zorzi, P Wawrzynski
International Work-Conference on Artificial Neural Networks, 49-60, 2019
12019
Emergence of Network Motifs in Deep Neural Networks
M Zambra, A Testolin, A Maritan
arXiv preprint arXiv:1912.12244, 2019
2019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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