Massimo Panella

发表

Neurofuzzy Networks With Nonlinear Quantum Learning

Massimo Panella, Giuseppe Martinelli, M. Panella, 2009, IEEE Transactions on Fuzzy Systems.

Real-time Identification and Tracking Using Kinect. Multimodal Interaction and Performance Analysis

Gianni Orlandi, Massimo Panella, Marco Barbato, 2014 .

Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data

Aurelio Uncini, Antonello Rizzi, Massimo Panella, 2006, 2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06).

Neural Processing of Biomedical Data for Improving Driving Safety

Massimo Panella, Francesco Barcellona, F. Filippi, 2005 .

A novel fuzzy approach for automatic Brunnstrom stage classification using surface electromyography

Zhe Zhang, Massimo Panella, Qiang Fang, 2016, Medical & Biological Engineering & Computing.

A new learning approach for Takagi-Sugeno fuzzy systems applied to time series prediction

Massimo Panella, Rosa Altilio, Antonello Rosato, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

An Efficient GPU Implementation of Modified Discrete Cosine Transform Using CUDA

Massimo Panella, Luigi Basset, 2012 .

Water Quality Prediction Based on Wavelet Neural Networks and Remote Sensing

Massimo Panella, Rosa Altilio, Antonello Rosato, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A New ANFIS Synthesis Approach for Time Series Forecasting

Antonello Rizzi, Massimo Panella, Giuseppe Martinelli, 2003 .

Embedding of time series for the prediction in photovoltaic power plants

Massimo Panella, Rodolfo Araneo, Rosa Altilio, 2016, 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC).

Prediction in Photovoltaic Power by Neural Networks

Massimo Panella, Rodolfo Araneo, Rosa Altilio, 2017 .

A Neural Network Based Prediction System of Distributed Generation for the Management of Microgrids

Massimo Panella, Rodolfo Araneo, Amedeo Andreotti, 2019, IEEE Transactions on Industry Applications.

Smart devices and environments. Enabling technologies and systems for the Internet of Things

Gianni Orlandi, Massimo Panella, Marco Barbato, 2014 .

Fuzzy membership functions based on point-to-polygon distance evaluation

Massimo Panella, Luca Liparulo, Andrea Proietti, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

ANFIS synthesis by hyperplane clustering

Antonello Rizzi, F. M. Frattale Mascioli, Massimo Panella, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

From Circuits To Neurofuzzy Networks: Synthesis By Numerical And Linguistic Information

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Massimo Panella, 2004, J. Circuits Syst. Comput..

Neural networks with quantum architecture and quantum learning

Massimo Panella, Giuseppe Martinelli, M. Panella, 2011, Int. J. Circuit Theory Appl..

Modular Quantum Circuits

Massimo Panella, Giuseppe Martinelli, 2006 .

Forecasting Energy Commodity Prices Using Neural Networks

Massimo Panella, Francesco Barcellona, Rita Laura D'Ecclesia, 2012, Adv. Decis. Sci..

A Neuro-fuzzy System for the Prediction of the Vehicle Traffic Flow

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Massimo Panella, 2003, WILF.

Selection of clinical features for pattern recognition applied to gait analysis

Massimo Panella, Marco Paoloni, Rosa Altilio, 2017, Medical & Biological Engineering & Computing.

2D hierarchical fuzzy clustering using kernel-based membership functions

Massimo Panella, Luca Liparulo, Andrea Proietti, 2016 .

Scale-based clustering with latent variables

Antonello Rizzi, F. M. Frattale Mascioli, Massimo Panella, 2000, 2000 10th European Signal Processing Conference.

Neural Network in Modeling Glucose-Insulin Behavior

Massimo Panella, Francesco Barcellona, A. M. Bersani, 2004, WIRN.

Learning from Distributed Data Sources Using Random Vector Functional-Link Networks

Danilo Comminiello, Simone Scardapane, Aurelio Uncini, 2015, INNS Conference on Big Data.

Decentralized Prediction of Electrical Time Series in Smart Grids Using Long Short-Term Memory Neural Networks

Massimo Panella, Rodolfo Araneo, Antonello Rosato, 2019, 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring).

Distributed on-line learning for random-weight fuzzy neural networks

Massimo Panella, Rosa Altilio, Roberto Fierimonte, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A genetic algorithm for feature selection in gait analysis

Massimo Panella, Marco Paoloni, Luca Liparulo, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion

Simone Scardapane, Aurelio Uncini, Massimo Panella, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Multivariate Prediction in Photovoltaic Power Plants by a Stacked Deep Neural Network

Massimo Panella, Rodolfo Araneo, Antonello Rosato, 2019, 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall).

A Sparse Bayesian Model for Random Weight Fuzzy Neural Networks

Massimo Panella, Rosa Altilio, Antonello Rosato, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Prediction of Biological Time Series by Genetic Embedding

Gianni Orlandi, Massimo Panella, Francesco Barcellona, 2009 .

A tuning procedure for the electric networks of PEM systems

Fabio Massimo Frattale Mascioli, Massimo Panella, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

ANFIS Synthesis by Hypherplane Clustering for Time Series Prediction

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Massimo Panella, 2003, WIRN.

Automatic feature selection for adaptive resolution classifiers

Antonello Rizzi, Massimo Panella, Giuseppe Martinelli, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

A data driven circuit model for rechargeable batteries

Massimo Panella, Andrea Proietti, M. Panella, 2014, 2014 IEEE International Symposium on Circuits and Systems (ISCAS).

Time Series Analysis by Genetic Embedding and Neural Network Regression

Massimo Panella, Luca Liparulo, Andrea Proietti, 2015, Advances in Neural Networks.

Distributed learning for Random Vector Functional-Link networks

Dianhui Wang, Simone Scardapane, Aurelio Uncini, 2015, Inf. Sci..

Radiofrequency Identification Systems for Healthcare: A Case Study on Electromagnetic Exposures

Massimo Panella, Luca Liparulo, Alessandra Festa, 2013 .

Automatic training of generalized min-max classifiers

Antonello Rizzi, Massimo Panella, Giuseppe Martinelli, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Optimization of Hybrid Electric Cars by Neuro-Fuzzy Networks

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Massimo Panella, 2007, WILF.

RC distributed circuits for vibration damping in piezo-electromechanical beams

Massimo Panella, Giuseppe Martinelli, M. Panella, 2005, IEEE Transactions on Circuits and Systems II: Express Briefs.

Power spectra prognostic aspects of impulsive eye movement traces in superior vestibular neuritis

Alessandro Micarelli, Elisa Micarelli, Massimo Panella, 2019, Medical & Biological Engineering & Computing.

A decentralized training algorithm for Echo State Networks in distributed big data applications

Dianhui Wang, Simone Scardapane, Massimo Panella, 2016, Neural Networks.

Multimedia and Gaming Technologies for Telerehabilitation of Motor Disabilities [Leading Edge]

Massimo Panella, Marco Paoloni, Luca Liparulo, 2015, IEEE Technol. Soc. Mag..

A Training Procedure for Quantum Random Vector Functional-link Networks

Massimo Panella, Antonello Rosato, M. Panella, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Accurate Algorithm for the Identification of Fingertips Using an RGB-D Camera

Massimo Panella, Luca Liparulo, Andrea Proietti, 2013, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

On-line Learning of RVFL Neural Networks on Finite Precision Hardware

Massimo Panella, Rosa Altilio, Antonello Rosato, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Shapes classification of dust deposition using fuzzy kernel-based approaches

Massimo Panella, Fabio Leccese, Luca Liparulo, 2016 .

A modular RC-active network for vibration damping in piezo-electro-mechanical beams

Maurizio Paschero, Fabio Massimo Frattale Mascioli, Massimo Panella, 2005, 2005 IEEE International Symposium on Circuits and Systems.

Predictive Analysis of Photovoltaic Power Generation Using Deep Learning

Massimo Panella, Rodolfo Araneo, Amedeo Andreotti, 2019, 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

Time Series Prediction Using Random Weights Fuzzy Neural Networks

Massimo Panella, Antonello Rosato, M. Panella, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Combined Deep Learning Approach for Time Series Prediction in Energy Environments

Massimo Mitolo, Massimo Panella, Rodolfo Araneo, 2020, 2020 IEEE/IAS 56th Industrial and Commercial Power Systems Technical Conference (I&CPS).

Classification of Dust Elements by Spatial Geometric Features

Gianni Orlandi, Giovanni Jacovitti, Massimo Panella, 2016, ICPRAM.

Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding

Massimo Panella, Rodolfo Araneo, Antonello Rosato, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Extended Random Neural Networks

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Massimo Panella, 2002, WIRN.

An input-output clustering approach to the synthesis of ANFIS networks

Massimo Panella, Antonio S. Gallo, M. Panella, 2005, IEEE Transactions on Fuzzy Systems.

Symbolic analysis and optimization of piezo-electromechanical systems

Maurizio Paschero, Fabio Massimo Frattale Mascioli, Massimo Panella, 2006, 2006 IEEE International Symposium on Circuits and Systems.

A Distributed Algorithm for the Cooperative Prediction of Power Production in PV Plants

Massimo Panella, Rodolfo Araneo, Antonello Rosato, 2019, IEEE Transactions on Energy Conversion.

Recent Advances on Distributed Unsupervised Learning

Massimo Panella, Rosa Altilio, Antonello Rosato, 2015, Advances in Neural Networks.

Binary Neuro-Fuzzy Classifiers Trained by Nonlinear Quantum Circuits

Massimo Panella, Giuseppe Martinelli, M. Panella, 2007, WILF.

Takagi-sugeno fuzzy systems applied to voltage prediction of photovoltaic plants

Massimo Panella, Rodolfo Araneo, Rosa Altilio, 2017, 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting

Irena Koprinska, Massimo Panella, Tommaso Colombo, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Neural Network Approaches to Electricity Price Forecastingly in Day-Ahead Markets

Massimo Panella, Rodolfo Araneo, Rosa Altilio, 2018, 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

Rening accuracyof environmental data prediction byMoG neural networks

A. Rizzi, Massimo Panella, G. Martinelli, 2003 .

A higher-order fuzzy neural network for modeling financial time series

Massimo Panella, Luca Liparulo, Andrea Proietti, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Distributed Reservoir Computing with Sparse Readouts [Research Frontier]

Danilo Comminiello, Simone Scardapane, Aurelio Uncini, 2016, IEEE Computational Intelligence Magazine.

A nonuniform quantizer for hardware implementation of neural networks

Massimo Panella, Rosa Altilio, Antonello Rosato, 2017, 2017 European Conference on Circuit Theory and Design (ECCTD).

Source Localization in Reverberant Environments by Consistent Peak Selection

Raffaele Parisi, Aurelio Uncini, Massimo Panella, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

A Smartphone-Based Application Using Machine Learning for Gesture Recognition: Using Feature Extraction and Template Matching via Hu Image Moments to Recognize Gestures

Massimo Panella, Rosa Altilio, M. Panella, 2019, IEEE Consumer Electronics Magazine.

Refining accuracy of environmental data prediction by MoG neural networks

Antonello Rizzi, Massimo Panella, Giuseppe Martinelli, 2003, Neurocomputing.

Reti neurali, neurofuzzy e memorie associative quantistiche

Antonello Rizzi, Massimo Panella, Giuseppe Martinelli, 2007 .

A study on crude oil prices modeled by neurofuzzy networks

Massimo Panella, Francesco Barcellona, Luca Liparulo, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Neuro-Fuzzy Approach to Partial Discharge Pattern Recognition of XLPE Insulated MV Cables

Antonello Rizzi, Massimo Panella, Giuseppe Martinelli, 2003 .

Distributed learning of Random Weights Fuzzy Neural Networks

Massimo Panella, Marco Barbato, Antonello Rosato, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Distributed semi-supervised support vector machines

Simone Scardapane, Aurelio Uncini, Massimo Panella, 2016, Neural Networks.

A Hierarchical Procedure for the Synthesis of ANFIS Networks

Massimo Panella, 2012, Adv. Fuzzy Syst..

Distributed music classification using Random Vector Functional-Link nets

Dianhui Wang, Simone Scardapane, Aurelio Uncini, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Optimised RC-active synthesis of PEM networks

Maurizio Paschero, F. M. Frattale Mascioli, Massimo Panella, 2005 .

Scale-based approach to hierarchical fuzzy clustering

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Massimo Panella, 2000, Signal Process..

Privacy-Preserving Data Mining for Distributed Medical Scenarios

Simone Scardapane, Aurelio Uncini, Massimo Panella, 2018, Multidisciplinary Approaches to Neural Computing.

A Smart Grid in Ponza Island: Battery Energy Storage Management by Echo State Neural Network

2-D Convolutional Deep Neural Network for Multivariate Energy Time Series Prediction

Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series

Massimo Panella, Rodolfo Araneo, Antonello Rosato, 2020, IEEE Access.

A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation

Zhe Zhang, Massimo Panella, Qiang Fang, 2016, IEEE Journal of Biomedical and Health Informatics.

Advances in biological time series prediction by neural networks

Massimo Panella, M. Panella, 2011, Biomed. Signal Process. Control..

Fuzzy Clustering Using the Convex Hull as Geometrical Model

Massimo Panella, Luca Liparulo, Andrea Proietti, 2015, Adv. Fuzzy Syst..

Multivariate Prediction of PM10 Concentration by LSTM Neural Networks

Massimo Panella, Antonello Rosato, Barbara Tomassetti, 2019, 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall).

Stability analysis of optimal PEM networks

Maurizio Paschero, F. M. Frattale Mascioli, Massimo Panella, 2006 .

Finite precision implementation of random vector functional-link networks

Massimo Panella, Rosa Altilio, Antonello Rosato, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

Adaptive resolution min-max classifiers

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Massimo Panella, 2002, IEEE Trans. Neural Networks.

ADMM Consensus for Deep LSTM Networks

Massimo Panella, Antonello Rosato, Federico Succetti, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Nonexclusive Classification of Musical Sources using Pattern Recognition

Giovanni Costantini, Massimo Panella, Patrizio Antici, 2000 .

Improved online fuzzy clustering based on unconstrained kernels

Massimo Panella, Luca Liparulo, Andrea Proietti, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Visual Path Following and Obstacle Avoidance by Artificial Neural Networks

Antonello Rizzi, Massimo Panella, Giuseppe Martinelli, 2002 .

Distributed spectral clustering based on Euclidean distance matrix completion

Simone Scardapane, Aurelio Uncini, Massimo Panella, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A recursive algorithm for fuzzy min-max networks

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Massimo Panella, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

RNS quasi-chaotic generator for self-correcting secure communication

Massimo Panella, Giuseppe Martinelli, 2001 .

Dust Detection and Analysis in Museum Environment Based on Pattern Recognition

Massimo Panella, Fabio Leccese, Andrea Proietti, 2015 .

A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks

Simone Scardapane, Aurelio Uncini, Massimo Panella, 2016, Advances in Neural Networks.

Genre classification of compressed audio data

Aurelio Uncini, Antonello Rizzi, Massimo Panella, 2008, 2008 IEEE 10th Workshop on Multimedia Signal Processing.

Distributed data clustering over networks

Massimo Panella, Paolo Di Lorenzo, Rosa Altilio, 2019, Pattern Recognit..

Neurofuzzy Approximator based on Mamdani's Model

Antonello Rizzi, Massimo Panella, Giuseppe Martinelli, 2001, WIRN.

An RNS Architecture for Quasi-Chaotic Oscillators

Massimo Panella, Giuseppe Martinelli, 2003, J. VLSI Signal Process..

A Classification Approach to Modeling Financial Time Series

Massimo Panella, Rosa Altilio, Giorgio Andreasi, 2017, Neural Advances in Processing Nonlinear Dynamic Signals.

Baseband Filter Banks for Neural Prediction

Antonello Rizzi, Massimo Panella, 2006, 2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06).

A decentralized algorithm for distributed ensemble clustering

Massimo Panella, Rosa Altilio, Antonello Rosato, 2021, Inf. Sci..

2-D Convolutional Deep Neural Network for the Multivariate Prediction of Photovoltaic Time Series

Massimo Panella, Rodolfo Araneo, Amedeo Andreotti, 2021, Energies.

Artificial Intelligence as Enabler for Sustainable Development

Leandros Maglaras, Ray Walshe, Ansgar Koene, 2021, 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC).

Deep learning-based Structural Health Monitoring for damage detection on a large space antenna

Paolo Gasbarri, Massimo Panella, Antonello Rosato, 2021, Acta Astronautica.

On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks

Massimo Panella, Evgeny Osipov, Denis Kleyko, 2021, IWANN.

A comparison of machine learning classifiers for smartphone-based gait analysis

Massimo Panella, Xudong Gu, Rosa Altilio, 2021, Medical & Biological Engineering & Computing.

Time Series Prediction with Autoencoding LSTM Networks

Massimo Panella, Antonello Rosato, Federico Succetti, 2021, IWANN.

Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks

Massimo Panella, Denis Kleyko, Antonello Rosato, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks

Massimo Panella, Antonello Rosato, Federico Succetti, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Two-stage dynamic management in energy communities using a decision system based on elastic net regularization

Osama A. Mohammed, Massimo Panella, Rodolfo Araneo, 2021 .

A constructive EM approach to density estimation for learning

Antonello Rizzi, Massimo Panella, Giuseppe Martinelli, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Crude oil prices and kernel-based models

Massimo Panella, Francesco Barcellona, Rita L. D’Ecclesia, 2014 .

Modeling Energy Markets Using Neural Networks and Spectral Analysis

Massimo Panella, Francesco Barcellona, Rita L. D’Ecclesia, 2012 .

Neural Networks to Model Energy Commodity Price Dynamics

Massimo Panella, Francesco Barcellona, Rita L. D’Ecclesia, 2011 .

The quantum approach leading from evolutionary to exhaustive optimization

Massimo Panella, Giuseppe Martinelli, M. Panella, 2012 .

RNS quasi-chaotic generators

Massimo Panella, Giuseppe Martinelli, 2000 .