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massimo.panella@uniroma1.it
Massimo Panella
Professore Ordinario
Struttura:
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
E-mail:
massimo.panella@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Distributed on-line learning for random-weight fuzzy neural networks
Proceedings of the IEEE International Conference on Fuzzy Systems
2017
A new learning approach for Takagi-Sugeno fuzzy systems applied to time series prediction
Proceedings of the IEEE International Conference on Fuzzy Systems
2017
TECNICHE DI PATTERN RECOGNITION APPLICATE ALLA RIABILITAZIONE MOTORIA
Memorie ET2017
2017
APPRENDIMENTO DI RETI NEURALI IN CIRCUITI A PRECISIONE NUMERICA FINITA
Memorie ET2017
2017
RETI NEURALI E LOGICA FUZZY PER LA PREDIZIONE DI SERIE ENERGETICHE
Memorie ET2017
2017
Prediction in Photovoltaic Power by Neural Networks
ENERGIES
2017
Apprendimento distribuito in scenari single-task e multi-task
Memorie ET2017
2017
A nonuniform quantizer for hardware implementation of neural networks
2017 European Conference on Circuit Theory and Design, ECCTD 2017
2017
Finite precision implementation of random vector functional-link networks
International Conference on Digital Signal Processing, DSP
2017
Retrieving chlorophyll-a levels, transparency and tss concentration from multispectral satellite data by using artificial neural networks
Progress in Electromagnetics Research Symposium
2017
A fuzzy Kernel motion classifier for autonomous stroke rehabilitation
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
2016
Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing. Review, challenges, and a case study
IEEE NETWORK
2016
A Genetic Algorithm for Feature Selection in Gait Analysis
Proceedings of the IEEE Congress on Evolutionary Computation
2016
Apprendimento distribuito di reti neurali e neurofuzzy
Memorie ET2016
2016
Tecniche di intelligenza computazionale applicate alla riabilitazione motoria
Memorie ET 2016
2016
Distributed semi-supervised support vector machines
NEURAL NETWORKS
2016
A decentralized training algorithm for Echo State Networks in distributed big data applications
NEURAL NETWORKS
2016
2D hierarchical fuzzy clustering using kernel-based membership functions
ELECTRONICS LETTERS
2016
Shapes classification of dust deposition using fuzzy kernel-based approaches
MEASUREMENT
2016
Embedding of Time Series for the Prediction in Photovoltaic Power Plants
Proceedings of the IEEE International Conference on Environment and Electrical Engineering
2016
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Progetti di Ricerca
Machine Learning and Sensor Integration for Innovative e-Health Practices in Parkinson's Disease
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