Alberto Testolin
Cited by
Cited by
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
Modeling language and cognition with deep unsupervised learning: a tutorial overview
M Zorzi, A Testolin, IP Stoianov
Frontiers in psychology 4, 57731, 2013
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
An emergentist perspective on the origin of number sense
M Zorzi, A Testolin
Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018
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
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
Distributed reinforcement learning for flexible and efficient uav swarm control
F Venturini, F Mason, F Pase, F Chiariotti, A Testolin, A Zanella, M Zorzi
IEEE Transactions on Cognitive Communications and Networking 7 (3), 955-969, 2021
Visual sense of number vs. sense of magnitude in humans and machines
A Testolin, S Dolfi, M Rochus, M Zorzi
Scientific reports 10 (1), 10045, 2020
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, 47328, 2013
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
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
Deep learning systems as complex networks
A Testolin, M Piccolini, S Suweis
Journal of Complex Networks 8 (1), cnz018, 2020
Do estimates of numerosity really adhere to Weber’s law? A reexamination of two case studies
A Testolin, JL McClelland
Psychonomic Bulletin & Review 28, 158-168, 2021
Combining denoising autoencoders and dynamic programming for acoustic detection and tracking of underwater moving targets
A Testolin, R Diamant
Sensors 20 (10), 2945, 2020
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
Detecting submerged objects using active acoustics and deep neural networks: A test case for pelagic fish
A Testolin, D Kipnis, R Diamant
IEEE Transactions on Mobile Computing 21 (8), 2776-2788, 2020
Learning orthographic structure with sequential generative neural networks
A Testolin, I Stoianov, A Sperduti, M Zorzi
Cognitive Science 40 (3), 579-606, 2016
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients
F Calesella, A Testolin, M De Filippo De Grazia, M Zorzi
Brain Informatics 8 (1), 8, 2021
Machine learning-aided design of thinned antenna arrays for optimized network level performance
M Lecci, P Testolina, M Rebato, A Testolin, M Zorzi
2020 14th European Conference on Antennas and Propagation (EuCAP), 1-5, 2020
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
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