TESTOLIN, ALBERTO
TESTOLIN, ALBERTO
Dipartimento di Psicologia Generale - DPG
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients
2021 Calesella, F.; Testolin, A.; De Filippo De Grazia, M.; Zorzi, M.
A Developmental Approach for Training Deep Belief Networks
2022 Zambra, M.; Testolin, A.; Zorzi, M.
An emergentist perspective on the origin of number sense
2018 Zorzi, Marco; Testolin, Alberto
Automated detection of dolphin whistles with convolutional networks and transfer learning
2023 Nur Korkmaz, Burla; Diamant, Roee; Danino, Gil; Testolin, Alberto
AUV navigation using cues in the sand ripples
2023 Shalev, H.; Nagar, L.; Abu, A.; Testolin, A.; Diamant, R.
Calibrating Deep Learning Classifiers for Patient-Independent Electroencephalogram Seizure Forecasting
2024 Shafiezadeh, Sina; Duma, Gian Marco; Mento, Giovanni; Danieli, Alberto; Antoniazzi, Lisa; Del Popolo Cristaldi, Fiorella; Bonanni, Paolo; Testolin, Alberto
Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence
2015 Zorzi, Michele; Zanella, Andrea; Testolin, Alberto; DE FILIPPO DE GRAZIA, Michele; Zorzi, Marco
Combining denoising autoencoders and dynamic programming for acoustic detection and tracking of underwater moving targets
2020 Testolin, A.; Diamant, R.
Deep learning systems as complex networks
2019 Testolin, Alberto; Piccolini, Michele; Suweis, Samir
Deep Unsupervised Learning on a Desktop PC: A Primer for Cognitive Scientists
2013 Testolin, Alberto; Stoianov, IVILIN PEEV; DE FILIPPO DE GRAZIA, Michele; Zorzi, Marco
Detecting Submerged Objects Using Active Acoustics and Deep Neural Networks: a Test Case for Pelagic Fish
2020 Testolin, A.; Kipnis, D.; Diamant, R.
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
2021 Venturini, F.; Mason, F.; Pase, F.; Chiariotti, F.; Testolin, A.; Zanella, A.; Zorzi, M.
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
2021 Venturini, F.; Mason, F.; Pase, F.; Chiariotti, F.; Testolin, A.; Zanella, A.; Zorzi, M.
Do estimates of numerosity really adhere to Weber’s law? A reexamination of two case studies
2020 Testolin, A.; Mcclelland, J. L.
Emergence of network motifs in deep neural networks
2020 Zambra, M.; Maritan, A.; Testolin, A.
L'approccio moderno all'Intelligenza Artificiale e la rivoluzione del deep learning
2022 Testolin, A.; Zorzi, M.
Learning numerosity representations with transformers: Number generation tasks and out-of-distribution generalization
2021 Boccato, T.; Testolin, A.; Zorzi, M.
Learning Orthographic Structure With Sequential Generative Neural Networks
2016 Testolin, Alberto; Stoianov, IVILIN PEEV; Sperduti, Alessandro; Zorzi, Marco
Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning
2017 Sadeghi, Z.; Testolin, A.
Letter perception emerges from unsupervised deep learning and recycling of natural image features
2017 Testolin, Alberto; Stoianov, Ivilin; Zorzi, Marco