Modeling vocabularies for a connected speech recognizer. - Fabio Gabrieli; A. Dimundo; Antonello Rizzi; G. Colangelit; A. Stagni (ICSLP, 1990)

A constructive algorithm for fuzzy neural networks. - Fabio Massimo Frattale Mascioli; Giuseppe Martinelli; Antonello Rizzi (ICASSP, 1997)

A nonexclusive classification system based on co-operative fuzzy clustering. - F. M. Frattale Mascioli; G. Risi; Antonello Rizzi; Giuseppe Martinelli (EUSIPCO, 1998)

Function Approximation with Noisy Training Data using FBF Neural Networks. - Fabio Massimo Frattale Mascioli; A. Mancini; Antonello Rizzi; Giuseppe Martinelli (NC, 1998)

Scale-based clustering with latent variables. - F. M. Frattale Mascioli; Massimo Panella; Antonello Rizzi; Giuseppe Martinelli (EUSIPCO, 2000)

Generalized min-max classifier. - Antonello Rizzi; F. M. Frattale Mascioli; Giuseppe Martinelli (FUZZ-IEEE, 2000)

A Recursive Algorithm for Fuzzy Min-Max Networks. - Antonello Rizzi; Massimo Panella; Fabio Massimo Frattale Mascioli; Giuseppe Martinelli (IJCNN (6), 2000)

Human components in productive systems. - Fabio Massimo Frattale Mascioli; Antonello Rizzi (ISTAS, 2000)

Scale-based approach to hierarchical fuzzy clustering. - Fabio Massimo Frattale Mascioli; Antonello Rizzi; Massimo Panella; Giuseppe Martinelli (Signal Process., 2000)

Neurofuzzy Approximator based on Mamdani's Model. - Fabio Massimo Frattale Mascioli; A. Mancini; Antonello Rizzi; Massimo Panella; Giuseppe Martinelli (WIRN, 2001)

Automatic feature selection for adaptive resolution classifiers. - Antonello Rizzi; Massimo Panella; F. M. Frattale Mascioli; Giuseppe Martinelli (FUZZ-IEEE, 2002)

Extended Random Neural Networks. - Giuseppe Martinelli; Fabio Massimo Frattale Mascioli; Massimo Panella; Antonello Rizzi (WIRN, 2002)

Adaptive resolution min-max classifiers. - Antonello Rizzi; Massimo Panella; Fabio Massimo Frattale Mascioli (IEEE Trans. Neural Networks, 2002)

Recognition of musical instruments by generalized min-max classifiers. - Giovanni Costantini; Antonello Rizzi; Daniele Casali (NNSP, 2003)

A Neuro-fuzzy System for the Prediction of the Vehicle Traffic Flow. - Massimo Panella; Antonello Rizzi; Fabio Massimo Frattale Mascioli; Giuseppe Martinelli (WILF, 2003)

ANFIS Synthesis by Hypherplane Clustering for Time Series Prediction. - Massimo Panella; Fabio Massimo Frattale Mascioli; Antonello Rizzi; Giuseppe Martinelli (WIRN, 2003)

Refining accuracy of environmental data prediction by MoG neural networks. - Massimo Panella; Antonello Rizzi; Giuseppe Martinelli (Neurocomputing, 2003)

Estimation of bone mineral density data using MoG neural networks. - Antonello Rizzi; Massimo Panella; Maurizio Paschero; Fabio Massimo Frattale Mascioli (IJCNN, 2004)

A Probabilistic PCA Clustering Approach to the SVD Estimate of Signal Subspaces. - Massimo Panella; G. Grisanti; Antonello Rizzi (WIRN, 2004)

From Circuits To Neurofuzzy Networks: Synthesis By Numerical And Linguistic Information. - Massimo Panella; Antonello Rizzi; Fabio Massimo Frattale Mascioli; Giuseppe Martinelli (J. Circuits Syst. Comput., 2004)

A symbolic approach to the solution of F-classification problems. - Antonello Rizzi; Guido Del Vescovo (IJCNN, 2005)

Baseband Filter Banks for Neural Prediction. - Massimo Panella; Antonello Rizzi (CIMCA/IAWTIC, 2006)

Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data. - Antonello Rizzi; Nicola Maurizio Buccino; Massimo Panella; Aurelio Uncini (CIMCA/IAWTIC, 2006)

Automatic Classification of Graphs by Symbolic Histograms. - Guido Del Vescovo; Antonello Rizzi (GrC, 2007)

Online Handwriting Recognition by the Symbolic Histograms Approach. - Guido Del Vescovo; Antonello Rizzi (GrC, 2007)

Optimization of Hybrid Electric Cars by Neuro-Fuzzy Networks. - Fabio Massimo Frattale Mascioli; Antonello Rizzi; Massimo Panella; Claudia Bettiol (WILF, 2007)

On-the-fly Statistical Classification of Internet Traffic at Application Layer Based on Cluster Analysis. - Andrea Baiocchi; Gianluca Maiolini; Giacomo Molina; Antonello Rizzi (CISIS, 2008)

A Correntropy-based voice to MIDI transcription algorithm. - Mario Antonelli; Antonello Rizzi (MMSP, 2008)

Genre classification of compressed audio data. - Antonello Rizzi; Nicola Maurizio Buccino; Massimo Panella; Aurelio Uncini (MMSP, 2008)

On the Fly Encoded Application Flows Recognition by Relying on Statistical Features of IP Traffic. - Gianluca Maiolini; Andrea Baiocchi; Antonello Rizzi; Sara Ferri; Letizia Gabbrielli (ICT4Justice, 2009)

Real Time Identification of SSH Encrypted Application Flows by Using Cluster Analysis Techniques. - Gianluca Maiolini; Andrea Baiocchi; Alfonso Iacovazzi; Antonello Rizzi (Networking, 2009)

A Query by Humming System for Music Information Retrieval. - Mario Antonelli; Antonello Rizzi; Guido Del Vescovo (ISDA, 2010)

Statistical classification of services tunneled into SSH connections by a K-means based learning algorithm. - Gianluca Maiolini; Andrea Baiocchi; Antonello Rizzi; C. Di Iollo (IWCMC, 2010)

Neurofuzzy Min-Max Networks Implementation on FPGA . - Alessandro Cinti; Antonello Rizzi (IJCCI (NCTA), 2011)

Graph Recognition by Seriation and Frequent Substructures Mining. - Lorenzo Livi; Guido Del Vescovo; Antonello Rizzi (ICPRAM (1), 2012)

Inexact Graph Matching through Graph Coverage. - Lorenzo Livi; Guido Del Vescovo; Antonello Rizzi (ICPRAM (1), 2012)

Parallel algorithms for tensor product-based inexact graph matching. - Lorenzo Livi; Antonello Rizzi (IJCNN, 2012)

A new Granular Computing approach for sequences representation and classification. - Antonello Rizzi; Guido Del Vescovo; Lorenzo Livi; Fabio Massimo Frattale Mascioli (IJCNN, 2012)

A simulation tool for the management of energy flows in Hybrid-Electric Vehicles. - Gianluca Fabbri; Maurizio Paschero; Guido Del Vescovo; Hector Chiacchiarini; Antonello Rizzi; F. M. Frattale Mascioli (ISIE, 2012)

A real time classifier for emotion and stress recognition in a vehicle driver. - Maurizio Paschero; Guido Del Vescovo; Leonardo Benucci; Antonello Rizzi; Marco Santello; Gianluca Fabbri; Fabio Massimo Frattale Mascioli (ISIE, 2012)

An open software system for signal routing and processing in hybrid vehicles. - Guido Del Vescovo; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (ISIE, 2012)

Active Power Losses Constrained Optimization in Smart Grids by Genetic Algorithms. - Gian Luca Storti; Francesca Possemato; Maurizio Paschero; Silvio Alessandroni; Antonello Rizzi; Fabio Massimo Frattale Mascioli (WIRN, 2012)

Aggregating α-planes for Type-2 fuzzy set matching. - Lorenzo Livi; Hooman Tahayori; Alireza Sadeghian; Antonello Rizzi (IFSA/NAFIPS, 2013)

Two evolutionary computational approaches for active power losses minimization in Smart Grids. - Francesca Possemato; Gian Luca Storti; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IFSA/NAFIPS, 2013)

Matching general type-2 fuzzy sets by comparing the vertical slices. - Antonello Rizzi; Lorenzo Livi; Hooman Tahayori; Alireza Sadeghian (IFSA/NAFIPS, 2013)

Genetic optimization of a fuzzy control system for energy flow management in micro-grids. - Enrico De Santis; Antonello Rizzi; Alireza Sadeghian; Fabio Massimo Frattale Mascioli (IFSA/NAFIPS, 2013)

Optimal distribution feeders configuration for active power losses minimization by genetic algorithms. - Gian Luca Storti; Francesca Possemato; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IFSA/NAFIPS, 2013)

Matching of time-varying labeled graphs. - Filippo Maria Bianchi; Lorenzo Livi; Antonello Rizzi (IJCNN, 2013)

Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure. - Lorenzo Livi; Filippo Maria Bianchi; Antonello Rizzi; Alireza Sadeghian (IJCNN, 2013)

Automatic text categorization by a Granular Computing approach: Facing unbalanced data sets. - Francesca Possemato; Antonello Rizzi (IJCNN, 2013)

A dissimilarity-based classifier for generalized sequences by a granular computing approach. - Antonello Rizzi; Francesca Possemato; Lorenzo Livi; Azzurra Sebastiani; Alessandro Giuliani; Fabio Massimo Frattale Mascioli (IJCNN, 2013)

Low complexity, high performance neuro-fuzzy system for Internet traffic flows early classification. - Antonello Rizzi; Silvia Colabrese; Andrea Baiocchi (IWCMC, 2013)

Graph ambiguity. - Lorenzo Livi; Antonello Rizzi (Fuzzy Sets Syst., 2013)

The graph matching problem. - Lorenzo Livi; Antonello Rizzi (Pattern Anal. Appl., 2013)

Information Granules Filtering for Inexact Sequential Pattern Mining by Evolutionary Computation. - Enrico Maiorino; Francesca Possemato; Valerio Modugno; Antonello Rizzi (IJCCI (ECTA), 2014)

Noise Sensitivity of an Information Granules Filtering Procedure by Genetic Optimization for Inexact Sequential Pattern Mining. - Enrico Maiorino; Francesca Possemato; Valerio Modugno; Antonello Rizzi (IJCCI (Selected Papers), 2014)

Combining Piecewise Linear Regression and a Granular Computing Framework for Financial Time Series Classification. - Valerio Modugno; Francesca Possemato; Antonello Rizzi (IJCCI (ECTA), 2014)

Occupational Diseases Risk Prediction by Cluster Analysis and Genetic Optimization. - Antonio Di Noia; Paolo Montanari; Antonello Rizzi (IJCCI (ECTA), 2014)

Occupational Diseases Risk Prediction by Genetic Optimization: Towards a Non-exclusive Classification Approach. - Antonio Di Noia; Paolo Montanari; Antonello Rizzi (IJCCI (Selected Papers), 2014)

An Ordering Procedure for Admissible Network Configurations to Regularize DFR Optimization Problems in Smart Grids. - Antonello Rizzi; Francesca Possemato; Stefano Caschera; Maurizio Paschero; Fabio Massimo Frattale Mascioli (IJCCI (ECTA), 2014)

Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids. - Enrico De Santis; Gianluca Distante; Fabio Massimo Frattale Mascioli; Alireza Sadeghian; Antonello Rizzi (IJCCI (ECTA), 2014)

A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids. - Enrico De Santis; Fabio Massimo Frattale Mascioli; Alireza Sadeghian; Antonello Rizzi (IJCCI (Selected Papers), 2014)

An interpretable graph-based image classifier. - Filippo Maria Bianchi; Simone Scardapane; Lorenzo Livi; Aurelio Uncini; Antonello Rizzi (IJCNN, 2014)

Fault recognition in smart grids by a one-class classification approach. - Enrico De Santis; Lorenzo Livi; Fabio Massimo Frattale Mascioli; Alireza Sadeghian; Antonello Rizzi (IJCNN, 2014)

A Radial configurations search algorithm for joint PFC and DFR optimization in Smart Grids. - Gian Luca Storti; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (ISIE, 2014)

Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions. - Lorenzo Livi; Hooman Tahayori; Alireza Sadeghian; Antonello Rizzi (Appl. Soft Comput., 2014)

Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation. - Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (CoRR, 2014)

Building pattern recognition applications with the SPARE library. - Lorenzo Livi; Guido Del Vescovo; Antonello Rizzi; Fabio Massimo Frattale Mascioli (CoRR, 2014)

Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification. - Enrico De Santis; Lorenzo Livi; Alireza Sadeghian; Antonello Rizzi (CoRR, 2014)

Optimized dissimilarity space embedding for labeled graphs. - Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (Inf. Sci., 2014)

A Granular Computing approach to the design of optimized graph classification systems. - Filippo Maria Bianchi; Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (Soft Comput., 2014)

A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach. - Enrico De Santis; Antonello Rizzi; Alireza Sadeghian; Fabio Massimo Frattale Mascioli (IJCNN, 2015)

Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition. - Filippo Maria Bianchi; Enrico De Santis; Antonello Rizzi; Alireza Sadeghian (IEEE Access, 2015)

Granular modeling and computing approaches for intelligent analysis of non-geometric data. - Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (Appl. Soft Comput., 2015)

A low complexity real-time Internet traffic flows neuro-fuzzy classifier. - Antonello Rizzi; Alfonso Iacovazzi; Andrea Baiocchi; Silvia Colabrese (Comput. Networks, 2015)

On the impact of topological properties of smart grids in power losses optimization problems. - Francesca Possemato; Maurizio Paschero; Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (CoRR, 2015)

Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification. - Enrico De Santis; Lorenzo Livi; Alireza Sadeghian; Antonello Rizzi (Neurocomputing, 2015)

Comparison between time-constrained and time-unconstrained optimization for power losses minimization in Smart Grids using genetic algorithms. - Gian Luca Storti; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (Neurocomputing, 2015)

Classifying sequences by the optimized dissimilarity space embedding approach: A case study on the solubility analysis of the E. coli proteome. - Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (J. Intell. Fuzzy Syst., 2015)

Prediction of telephone calls load using Echo State Network with exogenous variables. - Filippo Maria Bianchi; Simone Scardapane; Aurelio Uncini; Antonello Rizzi; Alireza Sadeghian (Neural Networks, 2015)

Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction. - Masoomeh Moharrer; Hooman Tahayori; Lorenzo Livi; Alireza Sadeghian; Antonello Rizzi (Soft Comput., 2015)

Interval Type-2 Fuzzy Set Reconstruction Based on Fuzzy Information-Theoretic Kernels. - Hooman Tahayori; Lorenzo Livi; Alireza Sadeghian; Antonello Rizzi (IEEE Trans. Fuzzy Syst., 2015)

Multi objective optimization of a fuzzy logic controller for energy management in microgrids. - Stefano Leonori; Enrico De Santis; Antonello Rizzi; F. M. Frattale Mascioli (CEC, 2016)

A PSO algorithm for transient dynamic modeling of lithium cells through a nonlinear RC filter. - Massimiliano Luzi; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (CEC, 2016)

Optimization of a microgrid energy management system based on a Fuzzy Logic Controller. - Stefano Leonori; Enrico De Santis; Antonello Rizzi; F. M. Frattale Mascioli (IECON, 2016)

Comparison between two nonlinear Kalman Filters for reliable SoC estimation on a prototypal BMS. - Massimiliano Luzi; Maurizio Paschero; Angelo Rossini; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IECON, 2016)

A new method to restore the water quality level through the use of electric boats. - V. Lisena; Maurizio Paschero; Valentina Gentile; P. Amicucci; Antonello Rizzi; F. M. Frattale Mascioli (ISC2, 2016)

Granular Computing Techniques for Classification and Semantic Characterization of Structured Data. - Filippo Maria Bianchi; Simone Scardapane; Antonello Rizzi; Aurelio Uncini; Alireza Sadeghian (Cogn. Comput., 2016)

A novel mechanical analogy based battery model for SoC estimation using a multi-cell EKF. - Maurizio Paschero; Gian Luca Storti; Antonello Rizzi; Fabio Massimo Frattale Mascioli; Giorgio Rizzoni (CoRR, 2016)

A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids. - Enrico De Santis; Alireza Sadeghian; Antonello Rizzi (CoRR, 2016)

Identifying user habits through data mining on call data records. - Filippo Maria Bianchi; Antonello Rizzi; Alireza Sadeghian; Corrado Moiso (Eng. Appl. Artif. Intell., 2016)

On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series. - Lorenzo Livi; Enrico Maiorino; Antonello Rizzi; Alireza Sadeghian (Int. J. Bifurc. Chaos, 2016)

Toward a multilevel representation of protein molecules: Comparative approaches to the aggregation/folding propensity problem. - Lorenzo Livi; Alessandro Giuliani; Antonello Rizzi (Inf. Sci., 2016)

Two density-based k-means initialization algorithms for non-metric data clustering. - Filippo Maria Bianchi; Lorenzo Livi; Antonello Rizzi (Pattern Anal. Appl., 2016)

Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices. - Lorenzo Livi; Hooman Tahayori; Antonello Rizzi; Alireza Sadeghian; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2016)

A learning intelligent System for classification and characterization of localized faults in Smart Grids. - Enrico De Santis; Antonello Rizzi; Alireza Sadeghian (CEC, 2017)

An optimized microgrid energy management system based on FIS-MO-GA paradigm. - Stefano Leonori; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (FUZZ-IEEE, 2017)

ANFIS Synthesis by Clustering for Microgrids EMS Design. - Stefano Leonori; Alessio Martino; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCCI, 2017)

Efficient Approaches for Solving the Large-Scale k-medoids Problem. - Alessio Martino; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCCI, 2017)

Efficient Approaches for Solving the Large-Scale k-Medoids Problem: Towards Structured Data. - Alessio Martino; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCCI (Selected Papers), 2017)

Design and validation of a contactless charging system for electric bicycles. - Maurizio Paschero; Rosanna Pinto; Emanuele Marchionne; Antonello Rizzi; Fabio Massimo Frattale Mascioli (RTSI, 2017)

Supervised Approaches for Function Prediction of Proteins Contact Networks from Topological Structure Information. - Alessio Martino; Enrico Maiorino; Alessandro Giuliani; Mauro Giampieri; Antonello Rizzi (SCIA (1), 2017)

Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids. - Enrico De Santis; Antonello Rizzi; Alireza Sadeghian (Appl. Soft Comput., 2017)

An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting. - Filippo Maria Bianchi; Enrico Maiorino; Michael C. Kampffmeyer; Antonello Rizzi; Robert Jenssen (CoRR, 2017)

A novel algorithm for online inexact string matching and its FPGA implementation. - Alessandro Cinti; Filippo Maria Bianchi; Antonello Rizzi (CoRR, 2017)

A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current. - Enrico De Santis; Alireza Sadeghian; Antonello Rizzi (Int. J. Bifurc. Chaos, 2017)

Data-driven detrending of nonstationary fractal time series with echo state networks. - Enrico Maiorino; Filippo Maria Bianchi; Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (Inf. Sci., 2017)

An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery. - Filippo Maria Bianchi; Enrico Maiorino; Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (Soft Comput., 2017)

Instrument Learning and Sparse NMD for Automatic Polyphonic Music Transcription. - Antonello Rizzi; Mario Antonelli; Massimiliano Luzi (IEEE Trans. Multim., 2017)

Recurrent Neural Networks for Short-Term Load Forecasting - An Overview and Comparative Analysis - Filippo Maria Bianchi; Enrico Maiorino; Michael C. Kampffmeyer; Antonello Rizzi; Robert Jenssen (Springer, 2017)

An evolutionary agents based system for data mining and local metric learning. - Mauro Giampieri; Antonello Rizzi (ICIT, 2018)

Energy Transduction Optimization of a Wave Energy Converter by Evolutionary Algorithms. - Antonino Capillo; Massimiliano Luzi; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCNN, 2018)

A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction. - Mauro Giampieri; Enrico De Santis; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCNN, 2018)

Microgrid Energy Management by ANFIS Supported by an ESN Based Prediction Algorithm. - Stefano Leonori; Antonello Rizzi; Maurizio Paschero; Fabio Massimo Frattale Mascioli (IJCNN, 2018)

An ANFIS Based System Identification Procedure for Modeling Electrochemical Cells. - Massimiliano Luzi; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCNN, 2018)

A Binary PSO Approach for Real Time Optimal Balancing of Electrochemical Cells. - Massimiliano Luzi; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCNN, 2018)

Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering. - Alessio Martino; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCNN, 2018)

Supervised Approaches for Protein Function Prediction by Topological Data Analysis. - Alessio Martino; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCNN, 2018)

Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction. - Enrico De Santis; Alessio Martino; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCNN, 2018)

Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids. - Enrico De Santis; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCNN, 2018)

A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids. - Enrico De Santis; Antonello Rizzi; Alireza Sadeghian (Swarm Evol. Comput., 2018)

Stochastic Information Granules Extraction for Graph Embedding and Classification. - Luca Baldini 002; Alessio Martino; Antonello Rizzi (IJCCI, 2019)

Calibration Techniques for Binary Classification Problems: A Comparative Analysis. - Alessio Martino; Enrico De Santis; Luca Baldini 002; Antonello Rizzi (IJCCI, 2019)

(Hyper)Graph Embedding and Classification via Simplicial Complexes. - Alessio Martino; Alessandro Giuliani; Antonello Rizzi (Algorithms, 2019)

ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min-Max Classifier. - Stefano Leonori; Alessio Martino; Fabio Massimo Frattale Mascioli; Antonello Rizzi (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

A Novel Neural Networks Ensemble Approach for Modeling Electrochemical Cells. - Massimiliano Luzi; Maurizio Paschero; Antonello Rizzi; Enrico Maiorino; Fabio Massimo Frattale Mascioli (IEEE Trans. Neural Networks Learn. Syst., 2019)

Complexity vs. Performance in Granular Embedding Spaces for Graph Classification. - Luca Baldini 002; Alessio Martino; Antonello Rizzi (IJCCI, 2020)

Mining M-Grams by a Granular Computing Approach for Text Classification. - Antonino Capillo; Enrico De Santis; Fabio Massimo Frattale Mascioli; Antonello Rizzi (IJCCI, 2020)

Nanogrids: A Smart Way to Integrate Public Transportation Electric Vehicles into Smart Grids. - Emanuele Ferrandino; Antonino Capillo; Fabio Massimo Frattale Mascioli; Antonello Rizzi (IJCCI, 2020)

Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers. - Giuseppe Granato; Alessio Martino; Luca Baldini 002; Antonello Rizzi (IJCCI, 2020)

Classification and Calibration Techniques in Predictive Maintenance: A Comparison between GMM and a Custom One-Class Classifier. - Enrico De Santis; Antonino Capillo; Fabio Massimo Frattale Mascioli; Antonello Rizzi (IJCCI, 2020)

Exploiting Cliques for Granular Computing-based Graph Classification. - Luca Baldini 002; Alessio Martino; Antonello Rizzi (IJCNN, 2020)

Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification. - Mauro Giampieri; Luca Baldini 002; Enrico De Santis; Antonello Rizzi (IJCNN, 2020)

On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition. - Alessio Martino; Fabio Massimo Frattale Mascioli; Antonello Rizzi (IJCNN, 2020)

An Ecology-based Index for Text Embedding and Classification. - Alessio Martino; Enrico De Santis; Antonello Rizzi (IJCNN, 2020)

An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event. - Enrico De Santis; Alessio Martino; Antonello Rizzi (IEEE Access, 2020)

A generalized framework for ANFIS synthesis procedures by clustering techniques. - Stefano Leonori; Alessio Martino; Massimiliano Luzi; Fabio Massimo Frattale Mascioli; Antonello Rizzi (Appl. Soft Comput., 2020)

Optimization strategies for Microgrid energy management systems by Genetic Algorithms. - Stefano Leonori; Maurizio Paschero; Fabio Massimo Frattale Mascioli; Antonello Rizzi (Appl. Soft Comput., 2020)

Frame-by-frame Wi-Fi attack detection algorithm with scalable and modular machine-learning design. - Antonello Rizzi; Giuseppe Granato; Andrea Baiocchi (Appl. Soft Comput., 2020)

Metabolic networks classification and knowledge discovery by information granulation. - Alessio Martino; Alessandro Giuliani; Virginia Todde; Mariano Bizzarri; Antonello Rizzi (Comput. Biol. Chem., 2020)

A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation. - Alessandro Cinti; Filippo Maria Bianchi; Alessio Martino; Antonello Rizzi (Cogn. Comput., 2020)

(Hyper)graph Kernels over Simplicial Complexes. - Alessio Martino; Antonello Rizzi (Entropy, 2020)

Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations. - Alessio Martino; Enrico De Santis; Alessandro Giuliani; Antonello Rizzi (Entropy, 2020)

Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction. - Antonio Di Noia; Alessio Martino; Paolo Montanari; Antonello Rizzi (Soft Comput., 2020)

A White-Box Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical Cells. - Massimiliano Luzi; Fabio Massimo Frattale Mascioli; Maurizio Paschero; Antonello Rizzi (IEEE Trans. Neural Networks Learn. Syst., 2020)

FIS Synthesis by Clustering for Microgrid Energy Management Systems. - Stefano Leonori; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

An Improved PSO for Flexible Parameters Identification of Lithium Cells Equivalent Circuit Models. - Massimiliano Luzi; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Data Mining by Evolving Agents for Clusters Discovery and Metric Learning. - Alessio Martino; Mauro Giampieri; Massimiliano Luzi; Antonello Rizzi (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Relaxed Dissimilarity-based Symbolic Histogram Variants for Granular Graph Embedding. - Luca Baldini 002; Alessio Martino; Antonello Rizzi (IJCCI, 2021)

A Multi-agent Approach for Graph Classification. - Luca Baldini 002; Antonello Rizzi (IJCCI, 2021)

A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning. - Emanuele Ferrandino; Antonino Capillo; Enrico De Santis; Fabio Massimo Frattale Mascioli; Antonello Rizzi (IJCCI, 2021)

An Enhanced Filtering-Based Information Granulation Procedure for Graph Embedding and Classification. - Alessio Martino; Antonello Rizzi (IEEE Access, 2021)

A Comparison between Crisp and Fuzzy Logic in an Autonomous Driving System for Boats. - Emanuele Ferrandino; Antonino Capillo; Enrico De Santis; Fabio Massimo Frattale Mascioli; Antonello Rizzi (FUZZ-IEEE, 2022)

Synthesis of an Evolutionary Fuzzy Multi-objective Energy Management System for an Electric Boat. - Antonino Capillo; Enrico De Santis; Fabio Massimo Frattale Mascioli; Antonello Rizzi (IJCCI, 2022)

A Granular Computing Approach for Multi-Labelled Sequences Classification in IEEE 802.11 Networks. - Giuseppe Granato; Alessio Martino; Antonello Rizzi (IJCNN, 2022)

A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains. - Enrico De Santis; Francesco Arnò; Alessio Martino; Antonello Rizzi (IJCNN, 2022)

On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study. - Alessio Martino; Luca Baldini 002; Antonello Rizzi (Algorithms, 2022)

Multifractal Characterization and Modeling of Blood Pressure Signals. - Enrico De Santis; Parisa Naraei; Alessio Martino; Alireza Sadeghian; Antonello Rizzi (Algorithms, 2022)

A class-specific metric learning approach for graph embedding by information granulation. - Luca Baldini 002; Alessio Martino; Antonello Rizzi (Appl. Soft Comput., 2022)

On component-wise dissimilarity measures and metric properties in pattern recognition. - Enrico De Santis; Alessio Martino; Antonello Rizzi (PeerJ Comput. Sci., 2022)

Deep Learning Hybrid Techniques for Brain Tumor Segmentation. - Khushboo Munir; Fabrizio Frezza; Antonello Rizzi (Sensors, 2022)

A Multi-objective Optimization Approach for the Synthesis of Granular Computing-Based Classification Systems in the Graph Domain. - Luca Baldini 002; Alessio Martino; Antonello Rizzi (SN Comput. Sci., 2022)

Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers: An Extended Analysis. - Giuseppe Granato; Alessio Martino; Luca Baldini 002; Antonello Rizzi (SN Comput. Sci., 2022)

Estimation of fault probability in medium voltage feeders through calibration techniques in classification models. - Enrico De Santis; Francesco Arnò; Antonello Rizzi (Soft Comput., 2022)

A Comparison Between Seasonal and Non-Seasonal Forecasting Techniques for Energy Demand Time Series in Smart Grids. - Sabereh Taghdisi Rastkar; Danial Zendehdel; Enrico De Santis; Antonello Rizzi (IJCCI, 2023)

A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context. - Enrico De Santis; Alessio Martino; Francesca Ronci; Antonello Rizzi (IJCNN, 2023)

Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing. - Enrico De Santis; Antonello Rizzi (Cogn. Comput., 2023)

An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia-Ukraine Conflict. - Enrico De Santis; Alessio Martino; Francesca Ronci; Antonello Rizzi (Inf., 2023)

ISMatch: A real-time hardware accelerator for inexact string matching of DNA sequences on FPGA. - Alberto Marchisio; Federico Teodonio; Antonello Rizzi; Muhammad Shafique 001 (Microprocess. Microsystems, 2023)

On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study. - Alessio Martino; Enrico De Santis; Antonello Rizzi (SN Comput. Sci., 2023)

Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages. - Enrico De Santis; Giovanni De Santis; Antonello Rizzi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improving Prediction Performances by Integrating Second Derivative in Microgrids Energy Load Forecasting. - Sabereh Taghdisi Rastkar; Saeid Jamili; Enrico De Santis; Antonello Rizzi (IJCNN, 2024)

An Extended Battery Equivalent Circuit Model for an Energy Community Real Time EMS. - Danial Zendehdel; Antonino Capillo; Enrico De Santis; Antonello Rizzi (IJCNN, 2024)

An Online Hierarchical Energy Management System for Energy Communities, Complying with the Current Technical Legislation Framework. - Antonino Capillo; Enrico De Santis; Fabio Massimo Frattale Mascioli; Antonello Rizzi (CoRR, 2024)

Modeling failures in smart grids by a bilinear logistic regression approach. - Enrico De Santis; Antonello Rizzi (Neural Networks, 2024)

Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory. - Enrico De Santis; Alessio Martino; Antonello Rizzi (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

From Bag-of-Words to Transformers: A Comparative Study for Text Classification in Healthcare Discussions in Social Media. - Enrico De Santis; Alessio Martino; Francesca Ronci; Antonello Rizzi (IEEE Trans. Emerg. Top. Comput. Intell., 2025)