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ORCIDMichele De Filippo De Grazia
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2020 – today
- 2022
[c7]Delfina Irarte, Alberto Testolin
, Michele De Filippo De Grazia, Marco Zorzi:
Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders. BI 2022: 140-151- [i1]Matteo Zambra, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi:
A developmental approach for training deep belief networks. CoRR abs/2207.05473 (2022) - 2021
- [j7]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): 8 (2021) - [c6]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: 211-222 - 2020
- [c5]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: 29-40
2010 – 2019
- 2019
- [j6]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: 53 (2019) - 2018
- [j5]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): 146-161 (2018) - 2017
- [j4]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: 13 (2017) - [j3]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): 8037-8051 (2017) - 2016
- [c4]Michele Zorzi, Andrea Zanella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi:
COBANETS: A new paradigm for cognitive communications systems. ICNC 2016: 1-7 - 2015
- [j2]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: 1512-1530 (2015) - 2014
- [c3]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: 31-38 - 2012
- [j1]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): 141-146 (2012) - [c2]Michele De Filippo De Grazia, Ivilin Peev Stoianov, Marco Zorzi:
Parallelization of Deep Networks. ESANN 2012
2000 – 2009
- 2009
- [c1]Fabio Aiolli, Michele De Filippo De Grazia, Alessandro Sperduti:
Application of the preference learning model to a human resources selection task. CIDM 2009: 203-210
Coauthor Index
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