Michele De Filippo De Grazia

According to our database, Michele De Filippo De Grazia authored at least 15 papers between 2009 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

A developmental approach for training deep belief networks.

Matteo Zambra, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi

CoRR, 2022

Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders.

Delfina Irarte, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi

Proceedings of the Brain Informatics - 15th International Conference, 2022

2021

A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients.

Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi

Brain Informatics, 2021

Assessment of Machine Learning Pipelines for Prediction of Behavioral Deficits from Brain Disconnectomes.

Marco Zorzi, Michele De Filippo De Grazia, Elvio Blini, Alberto Testolin

Proceedings of the Brain Informatics - 14th International Conference, 2021

2020

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

Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi

Proceedings of the Brain Informatics - 13th International Conference, 2020

2019

A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images.

Sucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, Maurizio Corbetta, Shandar Ahmad, Marco Zorzi

Frontiers Neuroinformatics, 2019

2018

QoE Multi-Stage Machine Learning for Dynamic Video Streaming.

Michele De Filippo De Grazia, Daniel Zucchetto, Alberto Testolin, Andrea Zanella, Marco Zorzi, Michele Zorzi

IEEE Trans. Cogn. Commun. Netw., 2018

2017

On the Relationship Between the Underwater Acoustic and Optical Channels.

Roee Diamant, Filippo Campagnaro, Michele De Filippo De Grazia, Paolo Casari, Alberto Testolin, Violeta Sanjuan Calzado, Michele Zorzi

IEEE Trans. Wirel. Commun., 2017

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

Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi

Frontiers Comput. Neurosci., 2017

2016

COBANETS: A new paradigm for cognitive communications systems.

Michele Zorzi, Andrea Zanella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi

Proceedings of the 2016 International Conference on Computing, 2016

2015

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

Michele Zorzi, Andrea Zanella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi

IEEE Access, 2015

2014

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

Alberto Testolin, Marco Zanforlin, Michele De Filippo De Grazia, Daniele Munaretto, Andrea Zanella, Marco Zorzi, Michele Zorzi

Proceedings of the 13th Annual Mediterranean Ad Hoc Networking Workshop, 2014

2012

Space coding for sensorimotor transformations can emerge through unsupervised learning.

Michele De Filippo De Grazia, Simone Cutini, Matteo Lisi, Marco Zorzi

Cogn. Process., 2012

Parallelization of Deep Networks.

Michele De Filippo De Grazia, Ivilin Peev Stoianov, Marco Zorzi

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2009

Application of the preference learning model to a human resources selection task.

Fabio Aiolli, Michele De Filippo De Grazia, Alessandro Sperduti

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009