A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization. - Marco Cococcioni; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (IEEE Congress on Evolutionary Computation, 2007)

Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space. - Marco Cococcioni; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (FUZZ-IEEE, 2007)

A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems. - Marco Cococcioni; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2007)

Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. - Pietro Ducange; Rafael Alcalá; Francisco Herrera; Beatrice Lazzerini; Francesco Marcelloni (HAIS, 2008)

A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (HIS, 2008)

Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (IFSA/EUSFLAT Conf., 2009)

A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (HAIS, 2009)

Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (ISDA, 2009)

Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Evol. Intell., 2009)

Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Int. J. Approx. Reason., 2009)

Morphogenetic approach to system identification. - Francesco Marcelloni; Germano Resconi; Pietro Ducange (Int. J. Intell. Syst., 2009)

A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems. - Rafael Alcalá; Pietro Ducange; Francisco Herrera; Beatrice Lazzerini; Francesco Marcelloni (IEEE Trans. Fuzzy Syst., 2009)

Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems. - Pietro Ducange (2009)

Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (FUZZ-IEEE, 2010)

Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (FUZZ-IEEE, 2010)

Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets. - Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2010)

A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (FUZZ-IEEE, 2011)

Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (GEFS, 2011)

An intelligent system for detecting faults in photovoltaic fields. - Pietro Ducange; Michela Fazzolari; Beatrice Lazzerini; Francesco Marcelloni (ISDA, 2011)

Multi-objective Evolutionary Fuzzy Systems. - Pietro Ducange; Francesco Marcelloni (WILF, 2011)

Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2011)

Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2011)

Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (FUZZ-IEEE, 2012)

An algorithm based on finite state machines with fuzzy transitions for non-intrusive load disaggregation. - Pietro Ducange; Francesco Marcelloni; D. Marinari (SustainIT, 2012)

Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (IEEE Trans. Fuzzy Syst., 2012)

Urban and social sensing for sustainable mobility in smart cities. - Giuseppe Anastasi; Michela Antonelli; Alessio Bechini; Simone Brienza; Eleonora D'Andrea; Domenico De Guglielmo; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni; Armando Segatori (SustainIT, 2013)

Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni; Armando Segatori (IFSA/NAFIPS, 2013)

Feature Selection Based on Fuzzy Mutual Information. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (WILF, 2013)

An efficient multi-objective evolutionary fuzzy system for regression problems. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (Int. J. Approx. Reason., 2013)

An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (Neurocomputing, 2014)

A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (Inf. Sci., 2014)

A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring. - Pietro Ducange; Francesco Marcelloni; Michela Antonelli (IEEE Trans. Ind. Informatics, 2014)

A MapReduce-based fuzzy associative classifier for big data. - Pietro Ducange; Francesco Marcelloni; Armando Segatori (FUZZ-IEEE, 2015)

A novel associative classification model based on a fuzzy frequent pattern mining algorithm. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni; Armando Segatori (Expert Syst. Appl., 2015)

Real-Time Detection of Traffic From Twitter Stream Analysis. - Eleonora D'Andrea; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (IEEE Trans. Intell. Transp. Syst., 2015)

Educational Big Data Mining: How to Enhance Virtual Learning Environments. - Pietro Ducange; Riccardo Pecori; Luigi Sarti; Massimo Vecchio (SOCO-CISIS-ICEUTE, 2016)

On the influence of feature selection in fuzzy rule-based regression model generation. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni; Armando Segatori (Inf. Sci., 2016)

Multi-objective evolutionary granular rule-based classifiers: An experimental comparison. - Pietro Ducange; Giuseppe Mannara; Francesco Marcelloni (FUZZ-IEEE, 2017)

A novel approach for internet traffic classification based on multi-objective evolutionary fuzzy classifiers. - Pietro Ducange; Giuseppe Mannara; Francesco Marcelloni; Riccardo Pecori; Massimo Vecchio (FUZZ-IEEE, 2017)

A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data. - Andrea Ferranti; Francesco Marcelloni; Armando Segatori; Michela Antonelli; Pietro Ducange (Inf. Sci., 2017)

Smart Profiling of City Areas Based on Web Data. - Eleonora D'Andrea; Pietro Ducange; Danilo Loffreno; Francesco Marcelloni; Tommaso Zaccone (SMARTCOMP, 2018)

Fuzzy Models for Big Data Mining. - Pietro Ducange (WILF, 2018)

Smart Audio Sensors in the Internet of Things Edge for Anomaly Detection. - Mattia Antonini; Massimo Vecchio; Fabio Antonelli; Pietro Ducange; Charith Perera (IEEE Access, 2018)

A glimpse on big data analytics in the framework of marketing strategies. - Pietro Ducange; Riccardo Pecori; Paolo Mezzina (Soft Comput., 2018)

A Distributed Fuzzy Associative Classifier for Big Data. - Armando Segatori; Alessio Bechini; Pietro Ducange; Francesco Marcelloni (IEEE Trans. Cybern., 2018)

An Integrated Topology Control Framework to Accelerate Consensus in Broadcast Wireless Sensor Networks. - Massimo Vecchio; Gennaro Amendola; Pietro Ducange (IEEE Trans. Wirel. Commun., 2018)

Incremental Learning of Fuzzy Decision Trees for Streaming Data Classification. - Riccardo Pecori; Pietro Ducange; Francesco Marcelloni (EUSFLAT Conf., 2019)

Smartphones and Exergame Controllers as BYOD Solutions for the e-tivities of an Online Sport and Exercise Sciences University Program. - Pietro Picerno; Riccardo Pecori; Paolo Raviolo; Pietro Ducange (HELMeTO, 2019)

Exploiting Online Newspaper Articles Metadata for Profiling City Areas. - Livio Cascone; Pietro Ducange; Francesco Marcelloni (IDEAL (2), 2019)

Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach. - Marco Barsacchi; Alessio Bechini; Pietro Ducange; Francesco Marcelloni (Cogn. Comput., 2019)

An effective Decision Support System for social media listening based on cross-source sentiment analysis models. - Pietro Ducange; Michela Fazzolari; Marinella Petrocchi; Massimo Vecchio (Eng. Appl. Artif. Intell., 2019)

Monitoring the public opinion about the vaccination topic from tweets analysis. - Eleonora D'Andrea; Pietro Ducange; Alessio Bechini; Alessandro Renda; Francesco Marcelloni (Expert Syst. Appl., 2019)

Exploiting Categorization of Online News for Profiling City Areas. - Alessandro Bondielli; Pietro Ducange; Francesco Marcelloni (EAIS, 2020)

Building Explanations for Fuzzy Decision Trees with the ExpliClas Software. - José Maria Alonso; Pietro Ducange; Riccardo Pecori; Raúl Vilas (FUZZ-IEEE, 2020)

FDBSCAN-APT: A Fuzzy Density-based Clustering Algorithm with Automatic Parameter Tuning. - Alessio Bechini; Martina Criscione; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (FUZZ-IEEE, 2020)

Leveraging Cloud Infrastructures for Teaching Advanced Computer Engineering Classes - Experiences at the University of Pisa. - Antonio Cisternino; Pietro Ducange; Nicola Tonellotto; Carlo Vallati (HELMeTO, 2020)

SK-MOEFS: A Library in Python for Designing Accurate and Explainable Fuzzy Models. - Gionatan Gallo; Vincenzo Ferrari; Francesco Marcelloni; Pietro Ducange (IPMU (3), 2020)

Towards Automatic Classification of Sheet Music. - Giuseppe De Pasquale; Blerina Spahiu; Pietro Ducange; Andrea Maurino (SEBD, 2020)

An overview of recent distributed algorithms for learning fuzzy models in Big Data classification. - Pietro Ducange; Michela Fazzolari; Francesco Marcelloni (J. Big Data, 2020)

An Explainable Approach for Car Driver Identification. - Gionatan Gallo; Mario Luca Bernardi; Marta Cimitile; Pietro Ducange (FUZZ-IEEE, 2021)

XAI Models for Quality of Experience Prediction in Wireless Networks. - Alessandro Renda; Pietro Ducange; Gionatan Gallo; Francesco Marcelloni (FUZZ-IEEE, 2021)

Mining the Stream of News for City Areas Profiling: a Case Study for the City of Rome. - Alessio Bechini; Alessandro Bondielli; José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (SMARTCOMP, 2021)

A Smart System for Personal Protective Equipment Detection in Industrial Environments Based on Deep Learning. - Gionatan Gallo; Francesco di Rienzo; Pietro Ducange; Vincenzo Ferrari; Alessandro Tognetti; Carlo Vallati (SMARTCOMP, 2021)

A federated fuzzy c-means clustering algorithm. - José Luis Corcuera Bárcena; Francesco Marcelloni; Alessandro Renda; Alessio Bechini; Pietro Ducange (WILF, 2021)

Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application. - Alessio Bechini; Alessandro Bondielli; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (IEEE Access, 2021)

Stance Analysis of Twitter Users: The Case of the Vaccination Topic in Italy. - Alessio Bechini; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (IEEE Intell. Syst., 2021)

Fuzzy Hoeffding Decision Tree for Data Stream Classification. - Pietro Ducange; Francesco Marcelloni; Riccardo Pecori (Int. J. Comput. Intell. Syst., 2021)

Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models. - José Luis Corcuera Bárcena; Mattia Daole; Pietro Ducange; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini; Alessio Schiavo (XAI.it@AI*IA, 2022)

An Explainable and Evolving Car Driver Identification System based on Decision Trees. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Pietro Ducange; Michela Fazzolari; Riccardo Pecori (EAIS, 2022)

Online Monitoring of Stance from Tweets: The case of Green Pass in Italy. - Alessandro Bondielli; Giuseppe Cancello Tortora; Pietro Ducange; Armando Macri; Francesco Marcelloni; Alessandro Renda (EAIS, 2022)

An Approach to Federated Learning of Explainable Fuzzy Regression Models. - José Luis Corcuera Bárcena; Pietro Ducange; Alessio Ercolani; Francesco Marcelloni; Alessandro Renda (FUZZ-IEEE, 2022)

Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis. - Alessio Bechini; José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (FUZZ-IEEE, 2022)

Incremental and Interpretable Learning Analytics Through Fuzzy Hoeffding Decision Trees. - Gabriella Casalino; Pietro Ducange; Michela Fazzolari; Riccardo Pecori (HELMeTO, 2022)

Conceptual structure of federated learning research field. - Antonio Velez-Estevez; Pietro Ducange; Ignacio J. Pérez; Manuel J. Cobo (ITQM, 2022)

Towards Trustworthy AI for QoE prediction in B5G/6G Networks. - José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Giovanni Nardini; Alessandro Noferi; Alessandro Renda; Giovanni Stea; Antonio Virdis (AI6G@WCCI, 2022)

Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks. - José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini (OLUD@WCCI, 2022)

Fuzzy Hoeffding Decision Trees for Learning Analytics. - Gabriella Casalino; Pietro Ducange; Michela Fazzolari; Riccardo Pecori (OLUD@WCCI, 2022)

Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective. - 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; et al. (AI6G@WCCI, 2022)

A Smart System for Personal Protective Equipment Detection in Industrial Environments Based on Deep Learning at the Edge. - Gionatan Gallo; Francesco di Rienzo; Federico Garzelli; Pietro Ducange; Carlo Vallati (IEEE Access, 2022)

Federated Learning of Explainable AI Models in 6G Systems: Towards Secure and Automated Vehicle Networking. - Alessandro Renda; Pietro Ducange; Francesco Marcelloni; Dario Sabella; Miltiadis C. Filippou; Giovanni Nardini; Giovanni Stea; Antonio Virdis; Davide Micheli; Damiano Rapone; Leonardo Gomes Baltar (Inf., 2022)

A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting. - Alessio Bechini; Alessandro Bondielli; José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (ACM Trans. Knowl. Discov. Data, 2022)

Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks. - José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini; Alessio Schiavo (FUZZ, 2023)

An Application for Federated Learning of XAI Models in Edge Computing Environments. - Alessio Bechini; Mattia Daole; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (FUZZ, 2023)

An Explainable Intrusion Detection System for IoT Networks. - Michela Fazzolari; Pietro Ducange; Francesco Marcelloni (FUZZ, 2023)

Leveraging Explainable AI Methods and Tools for Educational Data. - Gabriella Casalino; Giovanna Castellano; Pietro Ducange; Michela Fazzolari; Riccardo Pecori; Gianluca Zaza (HELMeTO, 2023)

Experimental Assessment of Heterogeneous Fuzzy Regression Trees. - José Luis Corcuera Bárcena; Pietro Ducange; Riccardo Gallo; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini (IJCCI, 2023)

Trustworthy AI for Next Generation Networks: the Fed-XAI innovative paradigm from the Hexa-X EU Flagship Project. - Pietro Ducange; Francesco Marcelloni; Davide Micheli; Giovanni Nardini; Alessandro Renda; Dario Sabella; Giovanni Stea; Antonio Virdis (Ital-IA, 2023)

Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks. - José Luis Corcuera Bárcena; Mattia Daole; Pietro Ducange; Francesco Marcelloni; Giovanni Nardini; Alessandro Renda; Giovanni Stea (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression. - José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini (xAI (1), 2023)

Data Platform Guidelines and Prototype for Microgrids and Energy Access: Matching Demand Profiles and Socio-Economic Data to Foster Project Development. - Davide Fioriti; Nicoló Stevanato; Pietro Ducange; Francesco Marcelloni; Emanuela Colombo; Davide Poli (IEEE Access, 2023)

The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G. - 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; et al. (IEEE Access, 2023)

Exploiting Simu5G for generating datasets for training and testing AI models for 5G/6G network applications. - Giovanni Nardini; Alessandro Noferi; Pietro Ducange; Giovanni Stea (SoftwareX, 2023)

OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python. - Mattia Daole; Alessio Schiavo; José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (SoftwareX, 2023)

Enabling federated learning of explainable AI models within beyond-5G/6G networks. - José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Giovanni Nardini; Alessandro Noferi; Alessandro Renda; Fabrizio Ruffini; Alessio Schiavo; Giovanni Stea; Antonio Virdis (Comput. Commun., 2023)

Understanding the Conceptual Structure of Large Language Models through Bibliographical Network. - Veronica Duarte-Martínez; Ignacio J. Pérez; Pietro Ducange; Manuel J. Cobo (EAIS, 2024)

Continuous Monitoring of Body Shaming Actions in Social Networks. - Pietro Ducange; Michela Fazzolari; Francesco Marcelloni; Martina Marino; Roberta Matrella (EAIS, 2024)

Leveraging Incremental Decision Trees and In-Vivo Biosensors for an Explainable Plant Health Monitoring System. - Giovanni Panella; Pietro Ducange; Manuele Bettelli; Filippo Vurro; Michela Fazzolari; Riccardo Pecori (EAIS, 2024)

XAIMed: A Diagnostic Support Tool for Explaining AI Decisions on Medical Images. - Mattia Daole; Pietro Ducange; Francesco Marcelloni; Giustino Claudio Miglionico; Alessandro Renda; Alessio Schiavo (EXPLAINS, 2024)

Deep Learning and Multi-Objective Evolutionary Fuzzy Classifiers: A Comparative Analysis for Brain Tumor Classification in MRI Images. - Giustino Claudio Miglionico; Pietro Ducange; Francesco Marcelloni; Witold Pedrycz (EXPLAINS, 2024)

Trustworthy AI in Heterogeneous Settings: Federated Learning of Explainable Classifiers. - Mattia Daole; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (FUZZ, 2024)

Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering. - Pietro Ducange; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini (FUZZ, 2024)

An Explainable Smart Agriculture System based on In- Vivo Biosensors. - Riccardo Pecori; Giovanni Panella; Filippo Vurro; Manuele Bettelli; Michela Fazzolari; Pietro Ducange (FUZZ, 2024)

Explainable Intrusion Detection System in IoT Scenarios: A Cross-Device Model Training and Evaluation for Traffic Classification. - Pietro Ducange; Michela Fazzolari; Francesco Marcelloni (HICSS, 2024)

Performance Evaluation of YOLOv5 on Edge Devices for Personal Protective Equipment Detection. - Giustino Claudio Miglionico; Pietro Ducange; Francesco Marcelloni; Carlo Vallati; Francesco di Rienzo (IJCNN, 2024)

Channel Modeling for Millimeter-Wave UAV Communication based on Explainable Generative Neural Network. - Ladan Gholami; Pietro Ducange; Pietro Cassarà; Alberto Gotta (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data. - Alessio Schiavo; Francesco Marcelloni; Pietro Ducange; Alessandro Renda; Fabrizio Ruffini; Renzo Dani (IEEE Access, 2024)

Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson's Disease. - Pietro Ducange; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini (Cogn. Comput., 2024)

Federated $c$-Means and Fuzzy $c$-Means Clustering Algorithms for Horizontally and Vertically Partitioned Data. - José Luis Corcuera Bárcena; Francesco Marcelloni; Alessandro Renda; Alessio Bechini; Pietro Ducange (IEEE Trans. Artif. Intell., 2024)

Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees. - José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (Inf. Fusion, 2025)

Human-Centered AI and Autonomy in Robotics: Insights from a Bibliometric Study. - Simona Casini; Pietro Ducange; Francesco Marcelloni; Lorenzo Pollini (CoRR, 2025)