Fabio Massimo Frattale Mascioli

发表

Microgrid Energy Management by ANFIS Supported by an ESN Based Prediction Algorithm

Antonello Rizzi, Maurizio Paschero, Stefano Leonori, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Classification and Calibration Techniques in Predictive Maintenance: A Comparison between GMM and a Custom One-Class Classifier

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Enrico De Santis, 2020, IJCCI.

A PSO algorithm for transient dynamic modeling of lithium cells through a nonlinear RC filter

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli, 2014, IJCCI.

A new Granular Computing approach for sequences representation and classification

Lorenzo Livi, Antonello Rizzi, Fabio Massimo Frattale Mascioli, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

An integrated methodology model for smart mobility system applied to sustainable tourism

Maurizio Paschero, Fabio Massimo Frattale Mascioli, Massimiliano Roda, 2017, 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI).

Nanogrids: A Smart Way to Integrate Public Transportation Electric Vehicles into Smart Grids

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Antonino Capillo, 2020, IJCCI.

Energy Transduction Optimization of a Wave Energy Converter by Evolutionary Algorithms

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

ANFIS Synthesis by Clustering for Microgrids EMS Design

Antonello Rizzi, Stefano Leonori, Fabio Massimo Frattale Mascioli, 2017, IJCCI.

Efficient Approaches for Solving the Large-Scale k-Medoids Problem: Towards Structured Data

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Alessio Martino, 2017, IJCCI.

Optimal distribution feeders configuration for active power losses minimization by genetic algorithms

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

A Novel Mechanical Analogy-Based Battery Model for SoC Estimation Using a Multicell EKF

Antonello Rizzi, Giorgio Rizzoni, Maurizio Paschero, 2016, IEEE Transactions on Sustainable Energy.

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

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

Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Design and validation of a contactless charging system for electric bicycles

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2017, 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI).

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

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

An ANFIS Based System Identification Procedure for Modeling Electrochemical Cells

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Alessio Martino, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach

Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Alessandro Giuliani, Lorenzo Livi, Antonello Rizzi, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

A constructive algorithm for binary neural networks: the oil-spot algorithm

Fabio Massimo Frattale Mascioli, Giuseppe Martinelli, G. Martinelli, 1995, IEEE Trans. Neural Networks.

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.

Comparison between time-constrained and time-unconstrained optimization for power losses minimization in Smart Grids using genetic algorithms

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2015, Neurocomputing.

ANFIS Synthesis by Hypherplane Clustering for Time Series Prediction

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

Cascade neural network for binary mapping

Fabio Massimo Frattale Mascioli, Giuseppe Martinelli, G. Bei, 1993, IEEE Trans. Neural Networks.

Design and construction of a parallel hybrid prototype

Fabio Massimo Frattale Mascioli, Vito Di Giacomo, Simone Sgreccia, 2012, 2012 IEEE International Symposium on Industrial Electronics.

Optimization of Hybrid Electric Cars by Neuro-Fuzzy Networks

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

Genetic optimization of a fuzzy control system for energy flow management in micro-grids

Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

A foward-facing hybrid vehicle simulation tool based on multi-physics lumped circuit approach

Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2014, 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE).

A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Enrico De Santis, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

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.

An optimized microgrid energy management system based on FIS-MO-GA paradigm

Antonello Rizzi, Maurizio Paschero, Stefano Leonori, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A generalized framework for ANFIS synthesis procedures by clustering techniques

Antonello Rizzi, Stefano Leonori, Fabio Massimo Frattale Mascioli, 2020, Appl. Soft Comput..

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Enrico De Santis, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Extended Random Neural Networks

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

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.

Optimization strategies for Microgrid energy management systems by Genetic Algorithms

Antonello Rizzi, Maurizio Paschero, Stefano Leonori, 2020, Appl. Soft Comput..

Sugeno Model Based Control for Semi active Vehicle Suspension

Fabio Massimo Frattale Mascioli, Francesco Voci, 2008, WIRN.

A Binary PSO Approach for Real Time Optimal Balancing of Electrochemical Cells

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids

Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli, 2014, IJCCI.

A real time classifier for emotion and stress recognition in a vehicle driver

Antonello Rizzi, Marco Santello, Maurizio Paschero, 2012, 2012 IEEE International Symposium on Industrial Electronics.

Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Alessio Martino, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Fault recognition in smart grids by a one-class classification approach

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A constructive algorithm for fuzzy neural networks

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Microgrid Energy Management Systems Design by Computational Intelligence Techniques

Antonello Rizzi, Stefano Leonori, Fabio Massimo Frattale Mascioli, 2020 .

Efficient Approaches for Solving the Large-Scale k-medoids Problem

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Alessio Martino, 2017, IJCCI.

Two evolutionary computational approaches for active power losses minimization in Smart Grids

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

Function Approximation with Noisy Training Data using FBF Neural Networks

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli, 1998, NC.

An open software system for signal routing and processing in hybrid vehicles

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2012, 2012 IEEE International Symposium on Industrial Electronics.

Scale-based approach to hierarchical fuzzy clustering

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

Active Power Losses Constrained Optimization in Smart Grids by Genetic Algorithms

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2012, WIRN.

A Radial configurations search algorithm for joint PFC and DFR optimization in Smart Grids

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2014, 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE).

Adaptive resolution min-max classifiers

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

Circuit analog of a beam and its application to multimodal vibration damping, using piezoelectric transducers

Maurizio Porfiri, Fabio Massimo Frattale Mascioli, Francesco dell'Isola, 2004, Int. J. Circuit Theory Appl..

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.

A constructive approach to neuro-fuzzy networks

Fabio Massimo Frattale Mascioli, Giuseppe Martinelli, G. Martinelli, 1998, Signal Process..

Mining M-Grams by a Granular Computing Approach for Text Classification

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Enrico De Santis, 2020, IJCCI.

Building pattern recognition applications with the SPARE library pdf

Lorenzo Livi, Antonello Rizzi, Fabio Massimo Frattale Mascioli, 2014, ArXiv.

An Ordering Procedure for Admissible Network Configurations to Regularize DFR Optimization Problems in Smart Grids

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2014, IJCCI.

Comparison between two nonlinear Kalman Filters for reliable SoC estimation on a prototypal BMS

Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli, 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.

Supervised Approaches for Protein Function Prediction by Topological Data Analysis

Antonello Rizzi, Fabio Massimo Frattale Mascioli, Alessio Martino, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).