| 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 | 148 | 2015 |
| Modeling language and cognition with deep unsupervised learning: a tutorial overview M Zorzi, A Testolin, IP Stoianov Frontiers in psychology 4, 515, 2013 | 120 | 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 | 102 | 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 | 80 | 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 | 68 | 2017 |
| 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 | 65* | 2021 |
| 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 | 62 | 2014 |
| 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 | 53 | 2020 |
| 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 | 50 | 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 | 48 | 2017 |
| 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 | 43 | 2013 |
| Deep learning systems as complex networks A Testolin, M Piccolini, S Suweis Journal of Complex Networks 8 (1), cnz018, 2020 | 36 | 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 | 29 | 2021 |
| 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 | 28 | 2021 |
| 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 | 27 | 2020 |
| Combining denoising autoencoders and dynamic programming for acoustic detection and tracking of underwater moving targets A Testolin, R Diamant Sensors 20 (10), 2945, 2020 | 27 | 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 | 26 | 2017 |
| Learning orthographic structure with sequential generative neural networks A Testolin, I Stoianov, A Sperduti, M Zorzi Cognitive Science 40 (3), 579-606, 2016 | 23 | 2016 |
| Methodological issues in evaluating machine learning models for EEG seizure prediction: Good cross-validation accuracy does not guarantee generalization to new patients S Shafiezadeh, GM Duma, G Mento, A Danieli, L Antoniazzi, ... Applied Sciences 13 (7), 4262, 2023 | 22 | 2023 |
| The challenge of modeling the acquisition of mathematical concepts A Testolin Frontiers in human neuroscience 14, 100, 2020 | 19 | 2020 |
Marco ZorziProfessor of Cognition and Artificial Intelligence, University of Padova, ItalyEmail verificata su unipd.it
