Alberto Testolin
Title
Cited by
Cited by
Year
Modeling language and cognition with deep unsupervised learning: a tutorial overview
M Zorzi, A Testolin, IP Stoianov
Frontiers in psychology 4, 515, 2013
972013
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
952015
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
692016
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
542014
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
342013
An emergentist perspective on the origin of number sense
M Zorzi, A Testolin
Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018
322018
Letter perception emerges from unsupervised deep learning and recycling of natural image features
A Testolin, I Stoianov, M Zorzi
Nature human behaviour 1 (9), 657-664, 2017
302017
Learning orthographic structure with sequential generative neural networks
A Testolin, I Stoianov, A Sperduti, M Zorzi
Cognitive Science 40 (3), 579-606, 2016
212016
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
182017
Deep learning systems as complex networks
A Testolin, M Piccolini, S Suweis
Journal of Complex Networks 8 (1), cnz018, 2020
132020
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
132017
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
132015
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
122017
A HMM-based pre-training approach for sequential data.
L Pasa, A Testolin, A Sperduti
ESANN, 2014
122014
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
102016
Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statistics
A Testolin, WY Zou, JL McClelland
Developmental science 23 (5), e12940, 2020
92020
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
92017
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
92014
Visual sense of number vs. sense of magnitude in humans and machines
A Testolin, S Dolfi, M Rochus, M Zorzi
Scientific reports 10 (1), 1-13, 2020
82020
Combining denoising autoencoders and dynamic programming for acoustic detection and tracking of underwater moving targets
A Testolin, R Diamant
Sensors 20 (10), 2945, 2020
52020
The system can't perform the operation now. Try again later.
Articles 1–20