Michele De Filippo De Grazia

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 10

Top Topics

Resource Allocation

Video Streaming

Underwater Acoustic

Top Venues

Frontiers Neuroinformatics

Publications

Delfina Irarte, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders. BI (2022)
Matteo Zambra, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
A developmental approach for training deep belief networks. CoRR (2022)
Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients. Brain Informatics 8 (1) (2021)
Marco Zorzi, Michele De Filippo De Grazia, Elvio Blini, Alberto Testolin
Assessment of Machine Learning Pipelines for Prediction of Behavioral Deficits from Brain Disconnectomes. BI (2021)
Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data. BI (2020)
Sucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, Maurizio Corbetta, Shandar Ahmad, Marco Zorzi
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images. Frontiers Neuroinformatics 13 (2019)
Michele De Filippo De Grazia, Daniel Zucchetto, Alberto Testolin, Andrea Zanella, Marco Zorzi, Michele Zorzi
QoE Multi-Stage Machine Learning for Dynamic Video Streaming. IEEE Trans. Cogn. Commun. Netw. 4 (1) (2018)
Roee Diamant, Filippo Campagnaro, Michele De Filippo De Grazia, Paolo Casari, Alberto Testolin, Violeta Sanjuan Calzado, Michele Zorzi
On the Relationship Between the Underwater Acoustic and Optical Channels. IEEE Trans. Wirel. Commun. 16 (12) (2017)
Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding. Frontiers Comput. Neurosci. 11 (2017)
Michele Zorzi, Andrea Zanella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
COBANETS: A new paradigm for cognitive communications systems. ICNC (2016)
Michele Zorzi, Andrea Zanella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence. IEEE Access 3 (2015)
Alberto Testolin, Marco Zanforlin, Michele De Filippo De Grazia, Daniele Munaretto, Andrea Zanella, Marco Zorzi, Michele Zorzi
A machine learning approach to QoE-based video admission control and resource allocation in wireless systems. Med-Hoc-Net (2014)
Michele De Filippo De Grazia, Simone Cutini, Matteo Lisi, Marco Zorzi
Space coding for sensorimotor transformations can emerge through unsupervised learning. Cogn. Process. 13 (Supplement-1) (2012)
Michele De Filippo De Grazia, Ivilin Stoianov, Marco Zorzi
Parallelization of Deep Networks. ESANN (2012)
Fabio Aiolli, Michele De Filippo De Grazia, Alessandro Sperduti
Application of the preference learning model to a human resources selection task. CIDM (2009)