Fabio Massimo Frattale Mascioli

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 31

Top Topics

Protein Function Prediction

Evolutionary Optimization

Energy Management

Top Venues

Publications

Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
An Online Hierarchical Energy Management System for Energy Communities, Complying with the Current Technical Legislation Framework. CoRR (2024)
Emanuele Ferrandino, Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
A Comparison between Crisp and Fuzzy Logic in an Autonomous Driving System for Boats. FUZZ-IEEE (2022)
Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
Synthesis of an Evolutionary Fuzzy Multi-objective Energy Management System for an Electric Boat. IJCCI (2022)
Emanuele Ferrandino, Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning. IJCCI (2021)
Enrico De Santis, Antonino Capillo, Fabio Massimo Frattale Mascioli, Antonello Rizzi
Classification and Calibration Techniques in Predictive Maintenance: A Comparison between GMM and a Custom One-Class Classifier. IJCCI (2020)
Emanuele Ferrandino, Antonino Capillo, Fabio Massimo Frattale Mascioli, Antonello Rizzi
Nanogrids: A Smart Way to Integrate Public Transportation Electric Vehicles into Smart Grids. IJCCI (2020)
Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
Mining M-Grams by a Granular Computing Approach for Text Classification. IJCCI (2020)
Stefano Leonori, Maurizio Paschero, Fabio Massimo Frattale Mascioli, Antonello Rizzi
Optimization strategies for Microgrid energy management systems by Genetic Algorithms. Appl. Soft Comput. 86 (2020)
Stefano Leonori, Alessio Martino, Massimiliano Luzi, Fabio Massimo Frattale Mascioli, Antonello Rizzi
A generalized framework for ANFIS synthesis procedures by clustering techniques. Appl. Soft Comput. 96 (2020)
Alessio Martino, Fabio Massimo Frattale Mascioli, Antonello Rizzi
On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition. IJCNN (2020)
Massimiliano Luzi, Fabio Massimo Frattale Mascioli, Maurizio Paschero, Antonello Rizzi
A White-Box Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical Cells. IEEE Trans. Neural Networks Learn. Syst. 31 (2) (2020)
Stefano Leonori, Alessio Martino, Fabio Massimo Frattale Mascioli, Antonello Rizzi
ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min-Max Classifier. IEEE Trans. Emerg. Top. Comput. Intell. 3 (3) (2019)
Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Enrico Maiorino, Fabio Massimo Frattale Mascioli
A Novel Neural Networks Ensemble Approach for Modeling Electrochemical Cells. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Antonino Capillo, Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Energy Transduction Optimization of a Wave Energy Converter by Evolutionary Algorithms. IJCNN (2018)
Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
A Binary PSO Approach for Real Time Optimal Balancing of Electrochemical Cells. IJCNN (2018)
Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Supervised Approaches for Protein Function Prediction by Topological Data Analysis. IJCNN (2018)
Enrico De Santis, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction. IJCNN (2018)
Mauro Giampieri, Enrico De Santis, Antonello Rizzi, Fabio Massimo Frattale Mascioli
A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction. IJCNN (2018)
Enrico De Santis, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids. IJCNN (2018)
Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering. IJCNN (2018)
Stefano Leonori, Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli
Microgrid Energy Management by ANFIS Supported by an ESN Based Prediction Algorithm. IJCNN (2018)
Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
An ANFIS Based System Identification Procedure for Modeling Electrochemical Cells. IJCNN (2018)
Massimiliano Roda, Davide Giorgi, Gian Piero Joime, Luigi Anniballi, Marco London, Maurizio Paschero, Fabio Massimo Frattale Mascioli
An integrated methodology model for smart mobility system applied to sustainable tourism. RTSI (2017)
Maurizio Paschero, Rosanna Pinto, Emanuele Marchionne, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Design and validation of a contactless charging system for electric bicycles. RTSI (2017)
Stefano Leonori, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
An optimized microgrid energy management system based on FIS-MO-GA paradigm. FUZZ-IEEE (2017)
Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Efficient Approaches for Solving the Large-Scale k-medoids Problem. IJCCI (2017)
Stefano Leonori, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
ANFIS Synthesis by Clustering for Microgrids EMS Design. IJCCI (2017)
Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Efficient Approaches for Solving the Large-Scale k-Medoids Problem: Towards Structured Data. IJCCI (Selected Papers) (2017)
Maurizio Paschero, Gian Luca Storti, Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giorgio Rizzoni
A novel mechanical analogy based battery model for SoC estimation using a multi-cell EKF. CoRR (2016)
Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
A PSO algorithm for transient dynamic modeling of lithium cells through a nonlinear RC filter. CEC (2016)
Massimiliano Luzi, Maurizio Paschero, Angelo Rossini, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Comparison between two nonlinear Kalman Filters for reliable SoC estimation on a prototypal BMS. IECON (2016)
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli
A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach. IJCNN (2015)
Gian Luca Storti, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Comparison between time-constrained and time-unconstrained optimization for power losses minimization in Smart Grids using genetic algorithms. Neurocomputing 170 (2015)
Lorenzo Livi, Guido Del Vescovo, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Building pattern recognition applications with the SPARE library. CoRR (2014)
Enrico De Santis, Gianluca Distante, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi
Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids. IJCCI (ECTA) (2014)
Antonello Rizzi, Francesca Possemato, Stefano Caschera, Maurizio Paschero, Fabio Massimo Frattale Mascioli
An Ordering Procedure for Admissible Network Configurations to Regularize DFR Optimization Problems in Smart Grids. IJCCI (ECTA) (2014)
Enrico De Santis, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi
A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids. IJCCI (Selected Papers) (2014)
Gian Luca Storti, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
A Radial configurations search algorithm for joint PFC and DFR optimization in Smart Grids. ISIE (2014)
Maurizio Paschero, Fabio Massimo Frattale Mascioli
A foward-facing hybrid vehicle simulation tool based on multi-physics lumped circuit approach. ISIE (2014)
Enrico De Santis, Lorenzo Livi, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi
Fault recognition in smart grids by a one-class classification approach. IJCNN (2014)
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli
Genetic optimization of a fuzzy control system for energy flow management in micro-grids. IFSA/NAFIPS (2013)
Francesca Possemato, Gian Luca Storti, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Two evolutionary computational approaches for active power losses minimization in Smart Grids. IFSA/NAFIPS (2013)
Antonello Rizzi, Francesca Possemato, Lorenzo Livi, Azzurra Sebastiani, Alessandro Giuliani, Fabio Massimo Frattale Mascioli
A dissimilarity-based classifier for generalized sequences by a granular computing approach. IJCNN (2013)
Gian Luca Storti, Francesca Possemato, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Optimal distribution feeders configuration for active power losses minimization by genetic algorithms. IFSA/NAFIPS (2013)
Maurizio Paschero, Luigi Anniballi, Guido Del Vescovo, Gianluca Fabbri, Fabio Massimo Frattale Mascioli
Design and implementation of a fast recharge station for electric vehicles. ISIE (2013)
Maurizio Paschero, Guido Del Vescovo, Leonardo Benucci, Antonello Rizzi, Marco Santello, Gianluca Fabbri, Fabio Massimo Frattale Mascioli
A real time classifier for emotion and stress recognition in a vehicle driver. ISIE (2012)
Antonello Rizzi, Guido Del Vescovo, Lorenzo Livi, Fabio Massimo Frattale Mascioli
A new Granular Computing approach for sequences representation and classification. IJCNN (2012)
Vito Di Giacomo, Leone Martellucci, Simone Sgreccia, Fabio Massimo Frattale Mascioli
Design and construction of a parallel hybrid prototype. ISIE (2012)
Gian Luca Storti, Francesca Possemato, Maurizio Paschero, Silvio Alessandroni, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Active Power Losses Constrained Optimization in Smart Grids by Genetic Algorithms. WIRN (2012)
Guido Del Vescovo, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
An open software system for signal routing and processing in hybrid vehicles. ISIE (2012)
Massimo Panella, Fabio Massimo Frattale Mascioli
A tuning procedure for the electric networks of PEM systems. ISCAS (2010)
Francesco Voci, Fabio Massimo Frattale Mascioli
Sugeno Model Based Control for Semi active Vehicle Suspension. WIRN (2008)
Fabio Massimo Frattale Mascioli, Antonello Rizzi, Massimo Panella, Claudia Bettiol
Optimization of Hybrid Electric Cars by Neuro-Fuzzy Networks. WILF (2007)
Massimo Panella, Maurizio Paschero, Fabio Massimo Frattale Mascioli
Symbolic analysis and optimization of piezo-electromechanical systems. ISCAS (2006)
Massimo Panella, Maurizio Paschero, Fabio Massimo Frattale Mascioli
A modular RC-active network for vibration damping in piezo-electro-mechanical beams. ISCAS (6) (2005)
Massimo Panella, Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli
From Circuits To Neurofuzzy Networks: Synthesis By Numerical And Linguistic Information. J. Circuits Syst. Comput. 13 (1) (2004)
Maurizio Porfiri, Francesco dell'Isola, Fabio Massimo Frattale Mascioli
Circuit analog of a beam and its application to multimodal vibration damping, using piezoelectric transducers. Int. J. Circuit Theory Appl. 32 (4) (2004)
Massimo Panella, Fabio Massimo Frattale Mascioli, Antonello Rizzi, Giuseppe Martinelli
ANFIS Synthesis by Hypherplane Clustering for Time Series Prediction. WIRN (2003)
Massimo Panella, Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli
A Neuro-fuzzy System for the Prediction of the Vehicle Traffic Flow. WILF (2003)
Giuseppe Martinelli, Fabio Massimo Frattale Mascioli, Massimo Panella, Antonello Rizzi
Extended Random Neural Networks. WIRN (2002)
Antonello Rizzi, Massimo Panella, Fabio Massimo Frattale Mascioli
Adaptive resolution min-max classifiers. IEEE Trans. Neural Networks 13 (2) (2002)
Fabio Massimo Frattale Mascioli, A. Mancini, Antonello Rizzi, Massimo Panella, Giuseppe Martinelli
Neurofuzzy Approximator based on Mamdani's Model. WIRN (2001)
Fabio Massimo Frattale Mascioli, Antonello Rizzi, Massimo Panella, Giuseppe Martinelli
Scale-based approach to hierarchical fuzzy clustering. Signal Process. 80 (6) (2000)
Antonello Rizzi, Massimo Panella, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli
A Recursive Algorithm for Fuzzy Min-Max Networks. IJCNN (6) (2000)
Fabio Massimo Frattale Mascioli, Antonello Rizzi
Human components in productive systems. ISTAS (2000)
Fabio Massimo Frattale Mascioli, Giuseppe Martinelli
A constructive approach to neuro-fuzzy networks. Signal Process. 64 (3) (1998)
Fabio Massimo Frattale Mascioli, A. Mancini, Antonello Rizzi, Giuseppe Martinelli
Function Approximation with Noisy Training Data using FBF Neural Networks. NC (1998)
Fabio Massimo Frattale Mascioli, Giuseppe Martinelli, Antonello Rizzi
A constructive algorithm for fuzzy neural networks. ICASSP (1997)
Fabio Massimo Frattale Mascioli, Giuseppe Martinelli
A constructive algorithm for binary neural networks: the oil-spot algorithm. IEEE Trans. Neural Networks 6 (3) (1995)
Giuseppe Martinelli, Fabio Massimo Frattale Mascioli, G. Bei
Cascade neural network for binary mapping. IEEE Trans. Neural Networks 4 (1) (1993)