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ORCIDPietro Ducange
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- affiliation: University of Pisa, Italy
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2020 – today
- 2025
[j40]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: 102598 (2025)- 2024
- [j39]Alessio Schiavo, Francesco Marcelloni, Pietro Ducange, Alessandro Renda, Fabrizio Ruffini, Renzo Dani:
On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data. IEEE Access 12: 162756-162768 (2024) - [j38]Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson's Disease. Cogn. Comput. 16(6): 3051-3076 (2024) - [j37]José Luis Corcuera Bárcena, Francesco Marcelloni, Alessandro Renda, Alessio Bechini, Pietro Ducange:
Federated $c$-Means and Fuzzy $c$-Means Clustering Algorithms for Horizontally and Vertically Partitioned Data. IEEE Trans. Artif. Intell. 5(12): 6426-6441 (2024) - [c68]Veronica Duarte-Martínez, Ignacio J. Pérez, Pietro Ducange, Manuel J. Cobo:
Understanding the Conceptual Structure of Large Language Models through Bibliographical Network. EAIS 2024: 1-7 - [c67]Pietro Ducange, Michela Fazzolari, Francesco Marcelloni, Martina Marino, Roberta Matrella:
Continuous Monitoring of Body Shaming Actions in Social Networks. EAIS 2024: 1-8 - [c66]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: 1-8 - [c65]Mattia Daole, Pietro Ducange, Francesco Marcelloni, Giustino Claudio Miglionico, Alessandro Renda, Alessio Schiavo:
XAIMed: A Diagnostic Support Tool for Explaining AI Decisions on Medical Images. EXPLAINS 2024: 27-37 - [c64]Giustino Claudio Miglionico, Pietro Ducange, Francesco Marcelloni, Witold Pedrycz:
Deep Learning and Multi-Objective Evolutionary Fuzzy Classifiers: A Comparative Analysis for Brain Tumor Classification in MRI Images. EXPLAINS 2024: 108-115 - [c63]Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
Trustworthy AI in Heterogeneous Settings: Federated Learning of Explainable Classifiers. FUZZ 2024: 1-9 - [c62]Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering. FUZZ 2024: 1-10 - [c61]Riccardo Pecori, Giovanni Panella, Filippo Vurro, Manuele Bettelli, Michela Fazzolari, Pietro Ducange:
An Explainable Smart Agriculture System based on In- Vivo Biosensors. FUZZ 2024: 1-8 - [c60]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: 1784-1793 - [c59]Giustino Claudio Miglionico, Pietro Ducange, Francesco Marcelloni, Carlo Vallati, Francesco di Rienzo:
Performance Evaluation of YOLOv5 on Edge Devices for Personal Protective Equipment Detection. IJCNN 2024: 1-8 - [c58]Ladan Gholami, Pietro Ducange, Pietro Cassarà, Alberto Gotta:
Channel Modeling for Millimeter-Wave UAV Communication based on Explainable Generative Neural Network. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 177-184 - 2023
- [j36]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: 65620-65648 (2023) - [j35]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: 73218-73234 (2023) - [j34]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: 356-375 (2023) - [j33]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: 101320 (2023) - [j32]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: 101505 (2023) - [c57]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: 1-8 - [c56]Alessio Bechini, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
An Application for Federated Learning of XAI Models in Edge Computing Environments. FUZZ 2023: 1-7 - [c55]Michela Fazzolari, Pietro Ducange, Francesco Marcelloni:
An Explainable Intrusion Detection System for IoT Networks. FUZZ 2023: 1-6 - [c54]Gabriella Casalino, Giovanna Castellano, Pietro Ducange, Michela Fazzolari, Riccardo Pecori, Gianluca Zaza:
Leveraging Explainable AI Methods and Tools for Educational Data. HELMeTO 2023: 95-111 - [c53]José Luis Corcuera Bárcena, Pietro Ducange, Riccardo Gallo, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Experimental Assessment of Heterogeneous Fuzzy Regression Trees. IJCCI 2023: 376-384 - [c52]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: 359-364 - [c51]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: 164-168 - [c50]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: 630-648 - 2022
- [j31]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: 110862-110878 (2022) - [j30]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): 395 (2022) - [j29]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): 125:1-125:29 (2022) - [c49]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: 104-117 - [c48]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: 1-8 - [c47]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: 1-8 - [c46]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: 1-8 - [c45]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: 1-8 - [c44]Gabriella Casalino, Pietro Ducange, Michela Fazzolari, Riccardo Pecori:
Incremental and Interpretable Learning Analytics Through Fuzzy Hoeffding Decision Trees. HELMeTO 2022: 674-690 - [c43]Antonio Velez-Estevez, Pietro Ducange, Ignacio J. Pérez, Manuel J. Cobo:
Conceptual structure of federated learning research field. ITQM 2022: 1374-1381 - [c42]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 - [c41]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 - [c40]Gabriella Casalino, Pietro Ducange, Michela Fazzolari, Riccardo Pecori:
Fuzzy Hoeffding Decision Trees for Learning Analytics. OLUD@WCCI 2022 - [c39]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 - [e4]Gabriella Casalino, Marta Cimitile, Pietro Ducange, Natalia Padilla Zea, Riccardo Pecori, Pietro Picerno, Paolo Raviolo:
Higher Education Learning Methodologies and Technologies Online - Third International Workshop, HELMeTO 2021, Pisa, Italy, September 9-10, 2021, Revised Selected Papers. Communications in Computer and Information Science 1542, Springer 2022, ISBN 978-3-030-96059-9 [contents] - [e3]Alessandro Renda, Pietro Ducange, Tamás Borsos, Hannu Flinck:
Short Paper Proceedings of the First International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks (AI6G 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI2022), Padova, Italy, July 21, 2022. CEUR Workshop Proceedings 3189, CEUR-WS.org 2022 [contents] - 2021
- [j28]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: 77758-77770 (2021) - [j27]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): 131-139 (2021) - [j26]Pietro Ducange, Francesco Marcelloni, Riccardo Pecori:
Fuzzy Hoeffding Decision Tree for Data Stream Classification. Int. J. Comput. Intell. Syst. 14(1): 946-964 (2021) - [c38]Gionatan Gallo, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange:
An Explainable Approach for Car Driver Identification. FUZZ-IEEE 2021: 1-7 - [c37]Alessandro Renda, Pietro Ducange, Gionatan Gallo, Francesco Marcelloni:
XAI Models for Quality of Experience Prediction in Wireless Networks. FUZZ-IEEE 2021: 1-6 - [c36]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: 222-227 - [c35]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: 317-322 - [c34]José Luis Corcuera Bárcena, Francesco Marcelloni, Alessandro Renda, Alessio Bechini, Pietro Ducange:
A federated fuzzy c-means clustering algorithm. WILF 2021 - [e2]Laura Sara Agrati, Daniel Burgos, Pietro Ducange, Pierpaolo Limone, Loredana Perla, Pietro Picerno, Paolo Raviolo, Christian M. Stracke:
Bridges and Mediation in Higher Distance Education - Second International Workshop, HELMeTO 2020, Bari, BA, Italy, September 17-18, 2020, Revised Selected Papers. Communications in Computer and Information Science 1344, Springer 2021, ISBN 978-3-030-67434-2 [contents] - 2020
- [j25]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): 19 (2020) - [c33]Alessandro Bondielli, Pietro Ducange, Francesco Marcelloni:
Exploiting Categorization of Online News for Profiling City Areas. EAIS 2020: 1-8 - [c32]José Maria Alonso, Pietro Ducange, Riccardo Pecori, Raúl Vilas:
Building Explanations for Fuzzy Decision Trees with the ExpliClas Software. FUZZ-IEEE 2020: 1-8 - [c31]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: 1-8 - [c30]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: 256-270 - [c29]Gionatan Gallo, Vincenzo Ferrari, Francesco Marcelloni, Pietro Ducange:
SK-MOEFS: A Library in Python for Designing Accurate and Explainable Fuzzy Models. IPMU (3) 2020: 68-81 - [c28]Giuseppe De Pasquale, Blerina Spahiu, Pietro Ducange, Andrea Maurino:
Towards Automatic Classification of Sheet Music. SEBD 2020: 266-277
2010 – 2019
- 2019
- [j24]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): 367-387 (2019) - [j23]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: 71-85 (2019) - [j22]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: 209-226 (2019) - [c27]Riccardo Pecori, Pietro Ducange, Francesco Marcelloni:
Incremental Learning of Fuzzy Decision Trees for Streaming Data Classification. EUSFLAT Conf. 2019 - [c26]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: 217-227 - [c25]Livio Cascone, Pietro Ducange, Francesco Marcelloni:
Exploiting Online Newspaper Articles Metadata for Profiling City Areas. IDEAL (2) 2019: 203-215 - [e1]Daniel Burgos, Marta Cimitile, Pietro Ducange, Riccardo Pecori, Pietro Picerno, Paolo Raviolo, Christian M. Stracke:
Higher Education Learning Methodologies and Technologies Online - First International Workshop, HELMeTO 2019, Novedrate, CO, Italy, June 6-7, 2019, Revised Selected Papers. Communications in Computer and Information Science 1091, Springer 2019, ISBN 978-3-030-31283-1 [contents] - 2018
- [j21]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: 67594-67610 (2018) - [j20]Pietro Ducange, Riccardo Pecori, Paolo Mezzina:
A glimpse on big data analytics in the framework of marketing strategies. Soft Comput. 22(1): 325-342 (2018) - [j19]Armando Segatori, Alessio Bechini, Pietro Ducange, Francesco Marcelloni:
A Distributed Fuzzy Associative Classifier for Big Data. IEEE Trans. Cybern. 48(9): 2656-2669 (2018) - [j18]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): 7472-7485 (2018) - [c24]Eleonora D'Andrea, Pietro Ducange, Danilo Loffreno, Francesco Marcelloni, Tommaso Zaccone:
Smart Profiling of City Areas Based on Web Data. SMARTCOMP 2018: 226-233 - [c23]Pietro Ducange:
Fuzzy Models for Big Data Mining. WILF 2018: 257-260 - 2017
- [j17]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: 319-340 (2017) - [c22]Pietro Ducange, Giuseppe Mannara, Francesco Marcelloni:
Multi-objective evolutionary granular rule-based classifiers: An experimental comparison. FUZZ-IEEE 2017: 1-6 - [c21]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: 1-6 - 2016
- [j16]Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori:
On the influence of feature selection in fuzzy rule-based regression model generation. Inf. Sci. 329: 649-669 (2016) - [c20]Pietro Ducange, Riccardo Pecori, Luigi Sarti, Massimo Vecchio:
Educational Big Data Mining: How to Enhance Virtual Learning Environments. SOCO-CISIS-ICEUTE 2016: 681-690 - 2015
- [j15]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): 2086-2097 (2015) - [j14]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): 2269-2283 (2015) - [c19]Pietro Ducange, Francesco Marcelloni, Armando Segatori:
A MapReduce-based fuzzy associative classifier for big data. FUZZ-IEEE 2015: 1-8 - 2014
- [j13]Michela Antonelli, Pietro Ducange, Francesco Marcelloni:
An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets. Neurocomputing 146: 125-136 (2014) - [j12]Michela Antonelli, Pietro Ducange, Francesco Marcelloni:
A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers. Inf. Sci. 283: 36-54 (2014) - [j11]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): 1185-1197 (2014) - 2013
- [j10]Michela Antonelli, Pietro Ducange, Francesco Marcelloni:
An efficient multi-objective evolutionary fuzzy system for regression problems. Int. J. Approx. Reason. 54(9): 1434-1451 (2013) - [c18]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: 1-4 - [c17]Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori:
Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison. IFSA/NAFIPS 2013: 13-18 - [c16]Michela Antonelli, Pietro Ducange, Francesco Marcelloni:
Feature Selection Based on Fuzzy Mutual Information. WILF 2013: 36-43 - 2012
- [j9]Michela Antonelli, Pietro Ducange, Francesco Marcelloni:
Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach. IEEE Trans. Fuzzy Syst. 20(2): 276-290 (2012) - [c15]Michela Antonelli, Pietro Ducange, Francesco Marcelloni:
Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers. FUZZ-IEEE 2012: 1-7 - [c14]Pietro Ducange, Francesco Marcelloni, D. Marinari:
An algorithm based on finite state machines with fuzzy transitions for non-intrusive load disaggregation. SustainIT 2012: 1-5 - 2011
- [j8]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): 1981-1998 (2011) - [j7]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): 2335-2354 (2011) - [c13]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: 1286-1293 - [c12]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: 47-53 - [c11]Pietro Ducange, Michela Fazzolari, Beatrice Lazzerini, Francesco Marcelloni:
An intelligent system for detecting faults in photovoltaic fields. ISDA 2011: 1341-1346 - [c10]Pietro Ducange, Francesco Marcelloni:
Multi-objective Evolutionary Fuzzy Systems. WILF 2011: 83-90 - 2010
- [j6]Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni:
Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets. Soft Comput. 14(7): 713-728 (2010) - [c9]Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni:
Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems. FUZZ-IEEE 2010: 1-8 - [c8]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: 1-7
2000 – 2009
- 2009
- [b1]Pietro Ducange:
Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems. University of Pisa, Italy, 2009 - [j5]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): 21-37 (2009) - [j4]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): 1066-1080 (2009) - [j3]Francesco Marcelloni, Germano Resconi, Pietro Ducange:
Morphogenetic approach to system identification. Int. J. Intell. Syst. 24(9): 955-975 (2009) - [j2]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): 1106-1122 (2009) - [c7]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: 1033-1038 - [c6]Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni:
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems. HAIS 2009: 613-620 - [c5]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: 115-120 - 2008
- [c4]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: 747-754 - [c3]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: 278-283 - 2007
- [j1]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): 1013-1031 (2007) - [c2]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: 3150-3156 - [c1]Marco Cococcioni, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni:
Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space. FUZZ-IEEE 2007: 1-6
Coauthor Index
[j40] [j39] [j38] [j37] [c67] [c65] [c64] [c63] [c62] [c60] [c59] [j36] [j35] [j34] [j32] [c57] [c56] [c55] [c53] [c52] [c51] [c50] [j30] [j29] [c49] [c47] [c46] [c45] [c42] [c41] [j28] [j27] [j26] [c37] [c35] [c34] [j25] [c33] [c31] [c29] [j24] [j22] [c27] [c25] [j19] [c24] [j17] [c22] [c21] [j16] [j15] [j14] [c19] [j13] [j12] [j11] [j10] [c18] [c17] [c16] [j9] [c15] [c14] [j8] [j7] [c13] [c12] [c11] [c10] [j6] [c9] [c8] [j5] [j4] [j3] [j2] [c7] [c6] [c5] [c4] [c3] [j1] [c2] [c1]
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