Antonello Rizzi
Orcid: 0000-0001-8244-0015
According to our database1,
Antonello Rizzi
authored at least 170 papers
between 1990 and 2024.
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Bibliography
2024
An Online Hierarchical Energy Management System for Energy Communities, Complying with the Current Technical Legislation Framework.
CoRR, 2024
2023
Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study.
SN Comput. Sci., May, 2023
ISMatch: A real-time hardware accelerator for inexact string matching of DNA sequences on FPGA.
Microprocess. Microsystems, March, 2023
An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia-Ukraine Conflict.
Inf., 2023
Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing.
Cogn. Comput., 2023
A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context.
Proceedings of the International Joint Conference on Neural Networks, 2023
A Comparison Between Seasonal and Non-Seasonal Forecasting Techniques for Energy Demand Time Series in Smart Grids.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
2022
Estimation of fault probability in medium voltage feeders through calibration techniques in classification models.
Soft Comput., 2022
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers: An Extended Analysis.
SN Comput. Sci., 2022
A Multi-objective Optimization Approach for the Synthesis of Granular Computing-Based Classification Systems in the Graph Domain.
SN Comput. Sci., 2022
On component-wise dissimilarity measures and metric properties in pattern recognition.
PeerJ Comput. Sci., 2022
A class-specific metric learning approach for graph embedding by information granulation.
Appl. Soft Comput., 2022
Algorithms, 2022
On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study.
Algorithms, 2022
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains.
Proceedings of the International Joint Conference on Neural Networks, 2022
A Granular Computing Approach for Multi-Labelled Sequences Classification in IEEE 802.11 Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022
Synthesis of an Evolutionary Fuzzy Multi-objective Energy Management System for an Electric Boat.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022
A Comparison between Crisp and Fuzzy Logic in an Autonomous Driving System for Boats.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
2021
An Enhanced Filtering-Based Information Granulation Procedure for Graph Embedding and Classification.
IEEE Access, 2021
A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning.
Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021
Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021
Relaxed Dissimilarity-based Symbolic Histogram Variants for Granular Graph Embedding.
Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021
2020
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020
An Improved PSO for Flexible Parameters Identification of Lithium Cells Equivalent Circuit Models.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020
A White-Box Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical Cells.
IEEE Trans. Neural Networks Learn. Syst., 2020
Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction.
Soft Comput., 2020
Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations.
Entropy, 2020
Cogn. Comput., 2020
Metabolic networks classification and knowledge discovery by information granulation.
Comput. Biol. Chem., 2020
Frame-by-frame Wi-Fi attack detection algorithm with scalable and modular machine-learning design.
Appl. Soft Comput., 2020
Optimization strategies for Microgrid energy management systems by Genetic Algorithms.
Appl. Soft Comput., 2020
Appl. Soft Comput., 2020
An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event.
IEEE Access, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Classification and Calibration Techniques in Predictive Maintenance: A Comparison between GMM and a Custom One-Class Classifier.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
Nanogrids: A Smart Way to Integrate Public Transportation Electric Vehicles into Smart Grids.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min-Max Classifier.
IEEE Trans. Emerg. Top. Comput. Intell., 2019
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019
2018
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids.
Swarm Evol. Comput., 2018
Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Energy Transduction Optimization of a Wave Energy Converter by Evolutionary Algorithms.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the IEEE International Conference on Industrial Technology, 2018
2017
Recurrent Neural Networks for Short-Term Load Forecasting - An Overview and Comparative Analysis
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-70337-4, 2017
IEEE Trans. Multim., 2017
An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery.
Soft Comput., 2017
Data-driven detrending of nonstationary fractal time series with echo state networks.
Inf. Sci., 2017
A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current.
Int. J. Bifurc. Chaos, 2017
CoRR, 2017
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting.
CoRR, 2017
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids.
Appl. Soft Comput., 2017
Supervised Approaches for Function Prediction of Proteins Contact Networks from Topological Structure Information.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017
Efficient Approaches for Solving the Large-Scale k-Medoids Problem: Towards Structured Data.
Proceedings of the Computational Intelligence - 9th International Joint Conference, 2017
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
A learning intelligent System for classification and characterization of localized faults in Smart Grids.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
IEEE Trans. Fuzzy Syst., 2016
Pattern Anal. Appl., 2016
Toward a multilevel representation of protein molecules: Comparative approaches to the aggregation/folding propensity problem.
Inf. Sci., 2016
On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series.
Int. J. Bifurc. Chaos, 2016
Eng. Appl. Artif. Intell., 2016
A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids.
CoRR, 2016
A novel mechanical analogy based battery model for SoC estimation using a multi-cell EKF.
CoRR, 2016
Granular Computing Techniques for Classification and Semantic Characterization of Structured Data.
Cogn. Comput., 2016
Proceedings of the IEEE International Smart Cities Conference, 2016
Comparison between two nonlinear Kalman Filters for reliable SoC estimation on a prototypal BMS.
Proceedings of the IECON 2016, 2016
Optimization of a microgrid energy management system based on a Fuzzy Logic Controller.
Proceedings of the IECON 2016, 2016
A PSO algorithm for transient dynamic modeling of lithium cells through a nonlinear RC filter.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Multi objective optimization of a fuzzy logic controller for energy management in microgrids.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Interval Type-2 Fuzzy Set Reconstruction Based on Fuzzy Information-Theoretic Kernels.
IEEE Trans. Fuzzy Syst., 2015
Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction.
Soft Comput., 2015
Prediction of telephone calls load using Echo State Network with exogenous variables.
Neural Networks, 2015
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., 2015
Comparison between time-constrained and time-unconstrained optimization for power losses minimization in Smart Grids using genetic algorithms.
Neurocomputing, 2015
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification.
Neurocomputing, 2015
On the impact of topological properties of smart grids in power losses optimization problems.
CoRR, 2015
Comput. Networks, 2015
Granular modeling and computing approaches for intelligent analysis of non-geometric data.
Appl. Soft Comput., 2015
Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition.
IEEE Access, 2015
A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
A Granular Computing approach to the design of optimized graph classification systems.
Soft Comput., 2014
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification.
CoRR, 2014
Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation.
CoRR, 2014
Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions.
Appl. Soft Comput., 2014
A Radial configurations search algorithm for joint PFC and DFR optimization in Smart Grids.
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids.
Proceedings of the Computational Intelligence - International Joint Conference, 2014
Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids.
Proceedings of the ECTA 2014, 2014
An Ordering Procedure for Admissible Network Configurations to Regularize DFR Optimization Problems in Smart Grids.
Proceedings of the ECTA 2014, 2014
Occupational Diseases Risk Prediction by Genetic Optimization: Towards a Non-exclusive Classification Approach.
Proceedings of the Computational Intelligence - International Joint Conference, 2014
Proceedings of the ECTA 2014, 2014
Combining Piecewise Linear Regression and a Granular Computing Framework for Financial Time Series Classification.
Proceedings of the ECTA 2014, 2014
Noise Sensitivity of an Information Granules Filtering Procedure by Genetic Optimization for Inexact Sequential Pattern Mining.
Proceedings of the Computational Intelligence - International Joint Conference, 2014
Information Granules Filtering for Inexact Sequential Pattern Mining by Evolutionary Computation.
Proceedings of the ECTA 2014, 2014
2013
Low complexity, high performance neuro-fuzzy system for Internet traffic flows early classification.
Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013
A dissimilarity-based classifier for generalized sequences by a granular computing approach.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Automatic text categorization by a Granular Computing approach: Facing unbalanced data sets.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Optimal distribution feeders configuration for active power losses minimization by genetic algorithms.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Genetic optimization of a fuzzy control system for energy flow management in micro-grids.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Two evolutionary computational approaches for active power losses minimization in Smart Grids.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
2012
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Inexact Graph Matching through Graph Coverage.
Proceedings of the ICPRAM 2012, 2012
Graph Recognition by Seriation and Frequent Substructures Mining.
Proceedings of the ICPRAM 2012, 2012
2011
Neurofuzzy Min-Max Networks Implementation on FPGA .
Proceedings of the NCTA 2011, 2011
2010
Statistical classification of services tunneled into SSH connections by a K-means based learning algorithm.
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, 2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
2009
Real Time Identification of SSH Encrypted Application Flows by Using Cluster Analysis Techniques.
Proceedings of the NETWORKING 2009, 2009
On the Fly Encoded Application Flows Recognition by Relying on Statistical Features of IP Traffic.
Proceedings of the 2<sup>nd</sup> International Conference on ICT Solutions for Justice, 2009
2008
Proceedings of the International Workshop on Multimedia Signal Processing, 2008
Proceedings of the International Workshop on Multimedia Signal Processing, 2008
On-the-fly Statistical Classification of Internet Traffic at Application Layer Based on Cluster Analysis.
Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems, 2008
2007
Proceedings of the Applications of Fuzzy Sets Theory, 2007
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007
2006
Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006
2004
From Circuits To Neurofuzzy Networks: Synthesis By Numerical And Linguistic Information.
J. Circuits Syst. Comput., 2004
Proceedings of the Biological and Artificial Intelligence Environments, 2004
2003
Neurocomputing, 2003
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003
Proceedings of the NNSP 2003, 2003
2002
Proceedings of the Neural Nets, 13th Italian Workshop on Neural Nets, 2002
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
2001
Proceedings of the 12th Italian Workshop on Neural Nets, 2001
2000
Proceedings of the University as a Bridge from Technology to Society: IEEE International Symposium on Technology and Society, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
1998
Function Approximation with Noisy Training Data using FBF Neural Networks.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998
Proceedings of the 9th European Signal Processing Conference, 1998
1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
1990
Proceedings of the First International Conference on Spoken Language Processing, 1990