Alberto Testolin

发表

QoE Multi-Stage Machine Learning for Dynamic Video Streaming

Andrea Zanella, Michele Zorzi, Michele De Filippo De Grazia, 2018, IEEE Transactions on Cognitive Communications and Networking.

A machine learning approach to QoE-based video admission control and resource allocation in wireless systems

Andrea Zanella, Michele Zorzi, Daniele Munaretto, 2014, 2014 13th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET).

Cognition-based networks: Applying cognitive science to multimedia wireless networking

Leonardo Badia, Andrea Zanella, Michele Zorzi, 2014, Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014.

Bilingualism advantage in handwritten character recognition: A deep learning investigation on Persian and Latin scripts

Alberto Testolin, Marco Zorzi, Zahra Sadeghi, 2017, 2017 7th International Conference on Computer and Knowledge Engineering (ICCKE).

Modeling language and cognition with deep unsupervised learning: a tutorial overview

Alberto Testolin, Marco Zorzi, Ivilin P. Stoianov, 2013, Front. Psychol..

COBANETS: A new paradigm for cognitive communications systems

Andrea Zanella, Michele Zorzi, Alberto Testolin, 2016, 2016 International Conference on Computing, Networking and Communications (ICNC).

Enabling Simulation-Based Optimization through Machine Learning: A Case Study on Antenna Design

Mattia Lecci, Michele Zorzi, Alberto Testolin, 2019, 2019 IEEE Global Communications Conference (GLOBECOM).

Emergence of Network Motifs in Deep Neural Networks

Alberto Testolin, Amos Maritan, Matteo Zambra, 2020, Entropy.

Deep Unsupervised Learning on a Desktop PC: A Primer for Cognitive Scientists

Michele De Filippo De Grazia, Alberto Testolin, Marco Zorzi, 2013, Front. Psychol..

A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data

Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi, 2020, BI.

Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models

Alberto Testolin, Marco Zorzi, Alberto Cenzato, 2020, LOD.

Numerosity Representation in InfoGAN: An Empirical Study

Alberto Testolin, Marco Zorzi, Pawel Wawrzynski, 2019, IWANN.

On the difficulty of learning and predicting the long-term dynamics of bouncing objects pdf

Alberto Testolin, Marco Zorzi, Alberto Cenzato, 2019, ArXiv.

The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding

Alberto Testolin, Marco Zorzi, Michele De Filippo De Grazia, 2017, Front. Comput. Neurosci..

Learning Orthographic Structure With Sequential Generative Neural Networks

Alessandro Sperduti, Alberto Testolin, Marco Zorzi, 2016, Cogn. Sci..

Assessment of sequential Boltmann machines on a lexical processing task

Alessandro Sperduti, Alberto Testolin, Marco Zorzi, 2012, ESANN.

Distributed reinforcement learning for flexible UAV swarm control with transfer learning capabilities

Federico Chiariotti, Andrea Zanella, Michele Zorzi, 2020, DroNet@MobiSys.

Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets †

Roee Diamant, Alberto Testolin, Alberto Testolin, 2020, Sensors.

Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence

Andrea Zanella, Michele Zorzi, Michele De Filippo De Grazia, 2015, IEEE Access.

Publisher Correction: Letter perception emerges from unsupervised deep learning and recycling of natural image features

Alberto Testolin, Marco Zorzi, Ivilin Stoianov, 2017, Nature Human Behaviour.

On the Relationship Between the Underwater Acoustic and Optical Channels

Paolo Casari, Michele Zorzi, Roee Diamant, 2017, IEEE Transactions on Wireless Communications.

Neural Networks for Sequential Data: a Pre-training Approach based on Hidden Markov Models

Alessandro Sperduti, Luca Pasa, Alberto Testolin, 2015, Neurocomputing.

Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning

Zahra Sadeghi, Alberto Testolin, Alberto Testolin, 2017, Cognitive Processing.

Machine Learning-Aided Design Of Thinned Antenna Arrays For Optimized Network Level Performance

Mattia Lecci, Michele Zorzi, Alberto Testolin, 2020, 2020 14th European Conference on Antennas and Propagation (EuCAP).

Underwater Acoustic Detection and Localization with a Convolutional Denoising Autoencoder

Roee Diamant, Alberto Testolin, Alberto Testolin, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions

Alberto Testolin, Marco Zorzi, Alberto Testolin, 2016, Front. Comput. Neurosci..

Modeling cognition with generative neural networks: The case of orthographic processing

Alberto Testolin, 2015 .

Perception of visual numerosity in humans and machines pdf

Alberto Testolin, Marco Zorzi, Serena Dolfi, 2019, ArXiv.

A HMM-based pre-training approach for sequential data

Alessandro Sperduti, Luca Pasa, Alberto Testolin, 2014, ESANN.

Deep learning systems as complex networks pdf

Alberto Testolin, Samir Suweis, Michele Piccolini, 2018, Journal of Complex Networks.

Exploring the statistical relation between the underwater acoustic and optical channels

Paolo Casari, Roee Diamant, Alberto Testolin, 2017 .