Antonello Rizzi

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 89

Top Venues

Publications

Enrico De Santis, Antonello Rizzi
Modeling failures in smart grids by a bilinear logistic regression approach. Neural Networks 174 (2024)
Enrico De Santis, Alessio Martino, Antonello Rizzi
Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
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)
Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi
A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context. IJCNN (2023)
Sabereh Taghdisi Rastkar, Danial Zendehdel, Enrico De Santis, Antonello Rizzi
A Comparison Between Seasonal and Non-Seasonal Forecasting Techniques for Energy Demand Time Series in Smart Grids. IJCCI (2023)
Enrico De Santis, Giovanni De Santis, Antonello Rizzi
Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Enrico De Santis, Antonello Rizzi
Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing. Cogn. Comput. 15 (3) (2023)
Alberto Marchisio, Federico Teodonio, Antonello Rizzi, Muhammad Shafique
ISMatch: A real-time hardware accelerator for inexact string matching of DNA sequences on FPGA. Microprocess. Microsystems 97 (2023)
Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi
An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia-Ukraine Conflict. Inf. 14 (6) (2023)
Alessio Martino, Enrico De Santis, Antonello Rizzi
On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study. SN Comput. Sci. 4 (3) (2023)
Enrico De Santis, Alessio Martino, Antonello Rizzi
On component-wise dissimilarity measures and metric properties in pattern recognition. PeerJ Comput. Sci. 8 (2022)
Giuseppe Granato, Alessio Martino, Luca Baldini, Antonello Rizzi
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers: An Extended Analysis. SN Comput. Sci. 3 (4) (2022)
Giuseppe Granato, Alessio Martino, Antonello Rizzi
A Granular Computing Approach for Multi-Labelled Sequences Classification in IEEE 802.11 Networks. IJCNN (2022)
Khushboo Munir, Fabrizio Frezza, Antonello Rizzi
Deep Learning Hybrid Techniques for Brain Tumor Segmentation. Sensors 22 (21) (2022)
Alessio Martino, Luca Baldini, Antonello Rizzi
On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study. Algorithms 15 (5) (2022)
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)
Enrico De Santis, Francesco Arnò, Antonello Rizzi
Estimation of fault probability in medium voltage feeders through calibration techniques in classification models. Soft Comput. 26 (15) (2022)
Enrico De Santis, Francesco Arnò, Alessio Martino, Antonello Rizzi
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains. IJCNN (2022)
Luca Baldini, Alessio Martino, Antonello Rizzi
A class-specific metric learning approach for graph embedding by information granulation. Appl. Soft Comput. 115 (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)
Enrico De Santis, Parisa Naraei, Alessio Martino, Alireza Sadeghian, Antonello Rizzi
Multifractal Characterization and Modeling of Blood Pressure Signals. Algorithms 15 (8) (2022)
Luca Baldini, Alessio Martino, Antonello Rizzi
A Multi-objective Optimization Approach for the Synthesis of Granular Computing-Based Classification Systems in the Graph Domain. SN Comput. Sci. 3 (6) (2022)
Alessio Martino, Antonello Rizzi
An Enhanced Filtering-Based Information Granulation Procedure for Graph Embedding and Classification. IEEE Access 9 (2021)
Luca Baldini, Antonello Rizzi
A Multi-agent Approach for Graph Classification. IJCCI (2021)
Luca Baldini, Alessio Martino, Antonello Rizzi
Relaxed Dissimilarity-based Symbolic Histogram Variants for Granular Graph Embedding. IJCCI (2021)
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)
Luca Baldini, Alessio Martino, Antonello Rizzi
Exploiting Cliques for Granular Computing-based Graph Classification. IJCNN (2020)
Alessio Martino, Antonello Rizzi
(Hyper)graph Kernels over Simplicial Complexes. Entropy 22 (10) (2020)
Giuseppe Granato, Alessio Martino, Luca Baldini, Antonello Rizzi
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers. 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)
Alessio Martino, Enrico De Santis, Alessandro Giuliani, Antonello Rizzi
Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations. Entropy 22 (7) (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)
Alessio Martino, Alessandro Giuliani, Virginia Todde, Mariano Bizzarri, Antonello Rizzi
Metabolic networks classification and knowledge discovery by information granulation. Comput. Biol. Chem. 84 (2020)
Mauro Giampieri, Luca Baldini, Enrico De Santis, Antonello Rizzi
Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification. IJCNN (2020)
Alessio Martino, Enrico De Santis, Antonello Rizzi
An Ecology-based Index for Text Embedding and Classification. IJCNN (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)
Antonio Di Noia, Alessio Martino, Paolo Montanari, Antonello Rizzi
Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction. Soft Comput. 24 (6) (2020)
Alessandro Cinti, Filippo Maria Bianchi, Alessio Martino, Antonello Rizzi
A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation. Cogn. Comput. 12 (2) (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)
Antonello Rizzi, Giuseppe Granato, Andrea Baiocchi
Frame-by-frame Wi-Fi attack detection algorithm with scalable and modular machine-learning design. Appl. Soft Comput. 91 (2020)
Luca Baldini, Alessio Martino, Antonello Rizzi
Complexity vs. Performance in Granular Embedding Spaces for Graph Classification. IJCCI (2020)
Enrico De Santis, Alessio Martino, Antonello Rizzi
An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event. IEEE Access 8 (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)
Luca Baldini, Alessio Martino, Antonello Rizzi
Stochastic Information Granules Extraction for Graph Embedding and Classification. IJCCI (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)
Alessio Martino, Alessandro Giuliani, Antonello Rizzi
(Hyper)Graph Embedding and Classification via Simplicial Complexes. Algorithms 12 (11) (2019)
Alessio Martino, Enrico De Santis, Luca Baldini, Antonello Rizzi
Calibration Techniques for Binary Classification Problems: A Comparative Analysis. IJCCI (2019)
Mauro Giampieri, Antonello Rizzi
An evolutionary agents based system for data mining and local metric learning. ICIT (2018)
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, Antonello Rizzi, Alireza Sadeghian
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids. Swarm Evol. Comput. 39 (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)
Alessio Martino, Enrico Maiorino, Alessandro Giuliani, Mauro Giampieri, Antonello Rizzi
Supervised Approaches for Function Prediction of Proteins Contact Networks from Topological Structure Information. SCIA (1) (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)
Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery. Soft Comput. 21 (5) (2017)
Enrico De Santis, Alireza Sadeghian, Antonello Rizzi
A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current. Int. J. Bifurc. Chaos 27 (14) (2017)
Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Efficient Approaches for Solving the Large-Scale k-medoids Problem. IJCCI (2017)
Antonello Rizzi, Mario Antonelli, Massimiliano Luzi
Instrument Learning and Sparse NMD for Automatic Polyphonic Music Transcription. IEEE Trans. Multim. 19 (7) (2017)
Stefano Leonori, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
ANFIS Synthesis by Clustering for Microgrids EMS Design. IJCCI (2017)
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
A learning intelligent System for classification and characterization of localized faults in Smart Grids. CEC (2017)
Alessandro Cinti, Filippo Maria Bianchi, Antonello Rizzi
A novel algorithm for online inexact string matching and its FPGA implementation. CoRR (2017)
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids. Appl. Soft Comput. 60 (2017)
Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
Data-driven detrending of nonstationary fractal time series with echo state networks. Inf. Sci. (2017)
Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting. CoRR (2017)
Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian, Corrado Moiso
Identifying user habits through data mining on call data records. CoRR (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)
V. Lisena, Maurizio Paschero, V. Gentile, P. Amicucci, Antonello Rizzi, F. M. Frattale Mascioli
A new method to restore the water quality level through the use of electric boats. ISC2 (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)
Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, Alireza Sadeghian, Witold Pedrycz
Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices. IEEE Trans. Fuzzy Syst. 24 (5) (2016)
Lorenzo Livi, Enrico Maiorino, Antonello Rizzi, Alireza Sadeghian
On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series. Int. J. Bifurc. Chaos 26 (1) (2016)
Enrico De Santis, Alireza Sadeghian, Antonello Rizzi
A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids. CoRR (2016)
Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi
Two density-based k-means initialization algorithms for non-metric data clustering. Pattern Anal. Appl. 19 (3) (2016)
Stefano Leonori, Enrico De Santis, Antonello Rizzi, F. M. Frattale Mascioli
Multi objective optimization of a fuzzy logic controller for energy management in microgrids. CEC (2016)
Filippo Maria Bianchi, Simone Scardapane, Antonello Rizzi, Aurelio Uncini, Alireza Sadeghian
Granular Computing Techniques for Classification and Semantic Characterization of Structured Data. Cogn. Comput. 8 (3) (2016)
Stefano Leonori, Enrico De Santis, Antonello Rizzi, F. M. Frattale Mascioli
Optimization of a microgrid energy management system based on a Fuzzy Logic Controller. IECON (2016)
Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian, Corrado Moiso
Identifying user habits through data mining on call data records. Eng. Appl. Artif. Intell. 54 (2016)
Lorenzo Livi, Alessandro Giuliani, Antonello Rizzi
Toward a multilevel representation of protein molecules: Comparative approaches to the aggregation/folding propensity problem. Inf. Sci. 326 (2016)
Hooman Tahayori, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi
Interval Type-2 Fuzzy Set Reconstruction Based on Fuzzy Information-Theoretic Kernels. IEEE Trans. Fuzzy Syst. 23 (4) (2015)
Masoomeh Moharrer, Hooman Tahayori, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi
Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction. Soft Comput. 19 (1) (2015)
Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
Classifying sequences by the optimized dissimilarity space embedding approach: A case study on the solubility analysis of the E. coli proteome. J. Intell. Fuzzy Syst. 28 (6) (2015)
Antonello Rizzi, Alfonso Iacovazzi, Andrea Baiocchi, Silvia Colabrese
A low complexity real-time Internet traffic flows neuro-fuzzy classifier. Comput. Networks 91 (2015)
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)
Filippo Maria Bianchi, Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition. IEEE Access 3 (2015)
Francesca Possemato, Maurizio Paschero, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
On the impact of topological properties of smart grids in power losses optimization problems. CoRR (2015)
Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
Granular modeling and computing approaches for intelligent analysis of non-geometric data. Appl. Soft Comput. 27 (2015)
Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
Data-driven detrending of nonstationary fractal time series with echo state networks. CoRR (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)
Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian
Prediction of telephone calls load using Echo State Network with exogenous variables. Neural Networks 71 (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Antonello Rizzi