Pietro Ducange

Publication Activity (10 Years)

Years Active: 2007-2025
Publications (10 Years): 65

Top Topics

Evolutionary Fuzzy

Top Venues

Publications

José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda
Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees. Inf. Fusion 113 (2025)
Pietro Ducange, Michela Fazzolari, Francesco Marcelloni, Martina Marino, Roberta Matrella
Continuous Monitoring of Body Shaming Actions in Social Networks. EAIS (2024)
Veronica Duarte-Martínez, Ignacio J. Pérez, Pietro Ducange, Manuel J. Cobo
Understanding the Conceptual Structure of Large Language Models through Bibliographical Network. EAIS (2024)
Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering. FUZZ (2024)
Riccardo Pecori, Giovanni Panella, Filippo Vurro, Manuele Bettelli, Michela Fazzolari, Pietro Ducange
An Explainable Smart Agriculture System based on In- Vivo Biosensors. FUZZ (2024)
Pietro Ducange, Michela Fazzolari, Francesco Marcelloni
Explainable Intrusion Detection System in IoT Scenarios: A Cross-Device Model Training and Evaluation for Traffic Classification. HICSS (2024)
Giovanni Panella, Pietro Ducange, Manuele Bettelli, Filippo Vurro, Michela Fazzolari, Riccardo Pecori
Leveraging Incremental Decision Trees and In-Vivo Biosensors for an Explainable Plant Health Monitoring System. EAIS (2024)
Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda
Trustworthy AI in Heterogeneous Settings: Federated Learning of Explainable Classifiers. FUZZ (2024)
Davide Fioriti, Nicoló Stevanato, Pietro Ducange, Francesco Marcelloni, Emanuela Colombo, Davide Poli
Data Platform Guidelines and Prototype for Microgrids and Energy Access: Matching Demand Profiles and Socio-Economic Data to Foster Project Development. IEEE Access 11 (2023)
Giovanni Nardini, Alessandro Noferi, Pietro Ducange, Giovanni Stea
Exploiting Simu5G for generating datasets for training and testing AI models for 5G/6G network applications. SoftwareX 21 (2023)
Michela Fazzolari, Pietro Ducange, Francesco Marcelloni
An Explainable Intrusion Detection System for IoT Networks. FUZZ (2023)
Mattia Merluzzi, Tamás Borsos, Nandana Rajatheva, András A. Benczúr, Hamed Farhadi, Taha Yassine, Markus Dominik Mueck, Sokratis Barmpounakis, Emilio Calvanese Strinati, Dilin Dampahalage, Panagiotis Demestichas, Pietro Ducange, Miltiadis C. Filippou, Leonardo Gomes Baltar, Johan Haraldson, Leyli Karaçay, Dani Korpi, Vasiliki Lamprousi, Francesco Marcelloni, Jafar Mohammadi, Nuwanthika Rajapaksha, Alessandro Renda, Mikko A. Uusitalo
The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G. IEEE Access 11 (2023)
Mattia Daole, Alessio Schiavo, José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda
OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python. SoftwareX 23 (2023)
José Luis Corcuera Bárcena, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Renda, Giovanni Stea
Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
José Luis Corcuera Bárcena, Pietro Ducange, Riccardo Gallo, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
Experimental Assessment of Heterogeneous Fuzzy Regression Trees. IJCCI (2023)
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo
Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks. FUZZ (2023)
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Noferi, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo, Giovanni Stea, Antonio Virdis
Enabling federated learning of explainable AI models within beyond-5G/6G networks. Comput. Commun. 210 (2023)
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression. xAI (1) (2023)
Alessio Bechini, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda
An Application for Federated Learning of XAI Models in Edge Computing Environments. FUZZ (2023)
Pietro Ducange, Francesco Marcelloni, Davide Micheli, Giovanni Nardini, Alessandro Renda, Dario Sabella, Giovanni Stea, Antonio Virdis
Trustworthy AI for Next Generation Networks: the Fed-XAI innovative paradigm from the Hexa-X EU Flagship Project. Ital-IA (2023)
Gabriella Casalino, Pietro Ducange, Michela Fazzolari, Riccardo Pecori
Fuzzy Hoeffding Decision Trees for Learning Analytics. OLUD@WCCI (2022)
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks. OLUD@WCCI (2022)
Alessandro Bondielli, Giuseppe Cancello Tortora, Pietro Ducange, Armando Macri, Francesco Marcelloni, Alessandro Renda
Online Monitoring of Stance from Tweets: The case of Green Pass in Italy. EAIS (2022)
Alessio Bechini, Alessandro Bondielli, José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda
A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Gionatan Gallo, Francesco di Rienzo, Federico Garzelli, Pietro Ducange, Carlo Vallati
A Smart System for Personal Protective Equipment Detection in Industrial Environments Based on Deep Learning at the Edge. IEEE Access 10 (2022)
Miltiadis C. Filippou, Vasiliki Lamprousi, Jafar Mohammadi, Mattia Merluzzi, Elif Ustundag Soykan, Tamás Borsos, Nandana Rajatheva, Nuwanthika Rajapaksha, Luc Le Magoarou, Pietro Piscione, András Benczúr, Quentin Lampin, Guillaume Larue, Dani Korpi, Pietro Ducange, Alessandro Renda, Hamed Farhadi, Johan Haraldson, Leonardo Gomes Baltar, Emilio Calvanese Strinati, Panagiotis Demestichas, Emrah Tomur
Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective. AI6G@WCCI (2022)
Alessandro Renda, Pietro Ducange, Francesco Marcelloni, Dario Sabella, Miltiadis C. Filippou, Giovanni Nardini, Giovanni Stea, Antonio Virdis, Davide Micheli, Damiano Rapone, Leonardo Gomes Baltar
Federated Learning of Explainable AI Models in 6G Systems: Towards Secure and Automated Vehicle Networking. Inf. 13 (8) (2022)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange, Michela Fazzolari, Riccardo Pecori
An Explainable and Evolving Car Driver Identification System based on Decision Trees. EAIS (2022)
Alessio Bechini, José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda
Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis. FUZZ-IEEE (2022)
José Luis Corcuera Bárcena, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo
Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models. XAI.it@AI*IA (2022)
José Luis Corcuera Bárcena, Pietro Ducange, Alessio Ercolani, Francesco Marcelloni, Alessandro Renda
An Approach to Federated Learning of Explainable Fuzzy Regression Models. FUZZ-IEEE (2022)
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Noferi, Alessandro Renda, Giovanni Stea, Antonio Virdis
Towards Trustworthy AI for QoE prediction in B5G/6G Networks. AI6G@WCCI (2022)
Gabriella Casalino, Pietro Ducange, Michela Fazzolari, Riccardo Pecori
Incremental and Interpretable Learning Analytics Through Fuzzy Hoeffding Decision Trees. HELMeTO (2022)
Alessio Bechini, Alessandro Bondielli, José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda
Mining the Stream of News for City Areas Profiling: a Case Study for the City of Rome. SMARTCOMP (2021)
Alessio Bechini, Pietro Ducange, Francesco Marcelloni, Alessandro Renda
Stance Analysis of Twitter Users: The Case of the Vaccination Topic in Italy. IEEE Intell. Syst. 36 (5) (2021)
Alessio Bechini, Alessandro Bondielli, Pietro Ducange, Francesco Marcelloni, Alessandro Renda
Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application. IEEE Access 9 (2021)
Gionatan Gallo, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange
An Explainable Approach for Car Driver Identification. FUZZ-IEEE (2021)
Gionatan Gallo, Francesco di Rienzo, Pietro Ducange, Vincenzo Ferrari, Alessandro Tognetti, Carlo Vallati
A Smart System for Personal Protective Equipment Detection in Industrial Environments Based on Deep Learning. SMARTCOMP (2021)
Alessandro Renda, Pietro Ducange, Gionatan Gallo, Francesco Marcelloni
XAI Models for Quality of Experience Prediction in Wireless Networks. FUZZ-IEEE (2021)
José Luis Corcuera Bárcena, Francesco Marcelloni, Alessandro Renda, Alessio Bechini, Pietro Ducange
A federated fuzzy c-means clustering algorithm. WILF (2021)
Pietro Ducange, Francesco Marcelloni, Riccardo Pecori
Fuzzy Hoeffding Decision Tree for Data Stream Classification. Int. J. Comput. Intell. Syst. 14 (1) (2021)
José M. Alonso, Pietro Ducange, Riccardo Pecori, Raúl Vilas
Building Explanations for Fuzzy Decision Trees with the ExpliClas Software. FUZZ-IEEE (2020)
Gionatan Gallo, Vincenzo Ferrari, Francesco Marcelloni, Pietro Ducange
SK-MOEFS: A Library in Python for Designing Accurate and Explainable Fuzzy Models. IPMU (3) (2020)
Giuseppe De Pasquale, Blerina Spahiu, Pietro Ducange, Andrea Maurino
Towards Automatic Classification of Sheet Music. SEBD (2020)
Alessandro Bondielli, Pietro Ducange, Francesco Marcelloni
Exploiting Categorization of Online News for Profiling City Areas. EAIS (2020)
Pietro Ducange, Michela Fazzolari, Francesco Marcelloni
An overview of recent distributed algorithms for learning fuzzy models in Big Data classification. J. Big Data 7 (1) (2020)
Antonio Cisternino, Pietro Ducange, Nicola Tonellotto, Carlo Vallati
Leveraging Cloud Infrastructures for Teaching Advanced Computer Engineering Classes - Experiences at the University of Pisa. HELMeTO (2020)
Alessio Bechini, Martina Criscione, Pietro Ducange, Francesco Marcelloni, Alessandro Renda
FDBSCAN-APT: A Fuzzy Density-based Clustering Algorithm with Automatic Parameter Tuning. FUZZ-IEEE (2020)
Eleonora D'Andrea, Pietro Ducange, Alessio Bechini, Alessandro Renda, Francesco Marcelloni
Monitoring the public opinion about the vaccination topic from tweets analysis. Expert Syst. Appl. 116 (2019)
Riccardo Pecori, Pietro Ducange, Francesco Marcelloni
Incremental Learning of Fuzzy Decision Trees for Streaming Data Classification. EUSFLAT Conf. (2019)
Marco Barsacchi, Alessio Bechini, Pietro Ducange, Francesco Marcelloni
Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach. Cogn. Comput. 11 (3) (2019)
Pietro Ducange, Michela Fazzolari, Marinella Petrocchi, Massimo Vecchio
An effective Decision Support System for social media listening based on cross-source sentiment analysis models. Eng. Appl. Artif. Intell. 78 (2019)
Pietro Picerno, Riccardo Pecori, Paolo Raviolo, Pietro Ducange
Smartphones and Exergame Controllers as BYOD Solutions for the e-tivities of an Online Sport and Exercise Sciences University Program. HELMeTO (2019)
Livio Cascone, Pietro Ducange, Francesco Marcelloni
Exploiting Online Newspaper Articles Metadata for Profiling City Areas. IDEAL (2) (2019)
Eleonora D'Andrea, Pietro Ducange, Danilo Loffreno, Francesco Marcelloni, Tommaso Zaccone
Smart Profiling of City Areas Based on Web Data. SMARTCOMP (2018)
Massimo Vecchio, Gennaro Amendola, Pietro Ducange
An Integrated Topology Control Framework to Accelerate Consensus in Broadcast Wireless Sensor Networks. IEEE Trans. Wirel. Commun. 17 (11) (2018)
Mattia Antonini, Massimo Vecchio, Fabio Antonelli, Pietro Ducange, Charith Perera
Smart Audio Sensors in the Internet of Things Edge for Anomaly Detection. IEEE Access 6 (2018)
Pietro Ducange
Fuzzy Models for Big Data Mining. WILF (2018)
Armando Segatori, Alessio Bechini, Pietro Ducange, Francesco Marcelloni
A Distributed Fuzzy Associative Classifier for Big Data. IEEE Trans. Cybern. 48 (9) (2018)
Pietro Ducange, Riccardo Pecori, Paolo Mezzina
A glimpse on big data analytics in the framework of marketing strategies. Soft Comput. 22 (1) (2018)
Pietro Ducange, Giuseppe Mannara, Francesco Marcelloni
Multi-objective evolutionary granular rule-based classifiers: An experimental comparison. FUZZ-IEEE (2017)
Andrea Ferranti, Francesco Marcelloni, Armando Segatori, Michela Antonelli, Pietro Ducange
A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data. Inf. Sci. 415 (2017)
Pietro Ducange, Giuseppe Mannara, Francesco Marcelloni, Riccardo Pecori, Massimo Vecchio
A novel approach for internet traffic classification based on multi-objective evolutionary fuzzy classifiers. FUZZ-IEEE (2017)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori
On the influence of feature selection in fuzzy rule-based regression model generation. Inf. Sci. 329 (2016)
Pietro Ducange, Riccardo Pecori, Luigi Sarti, Massimo Vecchio
Educational Big Data Mining: How to Enhance Virtual Learning Environments. SOCO-CISIS-ICEUTE (2016)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori
A novel associative classification model based on a fuzzy frequent pattern mining algorithm. Expert Syst. Appl. 42 (4) (2015)
Pietro Ducange, Francesco Marcelloni, Armando Segatori
A MapReduce-based fuzzy associative classifier for big data. FUZZ-IEEE (2015)
Eleonora D'Andrea, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Real-Time Detection of Traffic From Twitter Stream Analysis. IEEE Trans. Intell. Transp. Syst. 16 (4) (2015)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers. Inf. Sci. 283 (2014)
Pietro Ducange, Francesco Marcelloni, Michela Antonelli
A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring. IEEE Trans. Ind. Informatics 10 (2) (2014)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets. Neurocomputing 146 (2014)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori
Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison. IFSA/NAFIPS (2013)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
An efficient multi-objective evolutionary fuzzy system for regression problems. Int. J. Approx. Reason. 54 (9) (2013)
Giuseppe Anastasi, Michela Antonelli, Alessio Bechini, Simone Brienza, Eleonora D'Andrea, Domenico De Guglielmo, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni, Armando Segatori
Urban and social sensing for sustainable mobility in smart cities. SustainIT (2013)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
Feature Selection Based on Fuzzy Mutual Information. WILF (2013)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach. IEEE Trans. Fuzzy Syst. 20 (2) (2012)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers. FUZZ-IEEE (2012)
Pietro Ducange, Francesco Marcelloni, D. Marinari
An algorithm based on finite state machines with fuzzy transitions for non-intrusive load disaggregation. SustainIT (2012)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index. Soft Comput. 15 (10) (2011)
Pietro Ducange, Francesco Marcelloni
Multi-objective Evolutionary Fuzzy Systems. WILF (2011)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity. Soft Comput. 15 (12) (2011)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems. FUZZ-IEEE (2011)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection. GEFS (2011)
Pietro Ducange, Michela Fazzolari, Beatrice Lazzerini, Francesco Marcelloni
An intelligent system for detecting faults in photovoltaic fields. ISDA (2011)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems. FUZZ-IEEE (2010)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems. FUZZ-IEEE (2010)
Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets. Soft Comput. 14 (7) (2010)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework. Int. J. Approx. Reason. 50 (7) (2009)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems. HAIS (2009)
Francesco Marcelloni, Germano Resconi, Pietro Ducange
Morphogenetic approach to system identification. Int. J. Intell. Syst. 24 (9) (2009)
Rafael Alcalá, Pietro Ducange, Francisco Herrera, Beatrice Lazzerini, Francesco Marcelloni
A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems. IEEE Trans. Fuzzy Syst. 17 (5) (2009)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems. IFSA/EUSFLAT Conf. (2009)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems. Evol. Intell. 2 (1-2) (2009)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems. ISDA (2009)
Pietro Ducange, Rafael Alcalá, Francisco Herrera, Beatrice Lazzerini, Francesco Marcelloni
Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. HAIS (2008)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems. HIS (2008)
Marco Cococcioni, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space. FUZZ-IEEE (2007)
Marco Cococcioni, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization. IEEE Congress on Evolutionary Computation (2007)
Marco Cococcioni, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems. Soft Comput. 11 (11) (2007)