Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFrancesco Marcelloni
- > Home > Persons > Francesco Marcelloni
Publications
- 2024
[c105]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- 2023
- [j93]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) - [j92]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) - [j90]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) - [j89]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) - [c103]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 - [c102]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 - [c101]Michela Fazzolari, Pietro Ducange, Francesco Marcelloni:
An Explainable Intrusion Detection System for IoT Networks. FUZZ 2023: 1-6 - [c100]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 - [c99]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 - [c98]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 - [c97]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
- [j88]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) - [j85]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) - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c91]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 - [c90]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 - 2021
- [j84]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) - [j82]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) - [j81]Pietro Ducange, Francesco Marcelloni, Riccardo Pecori:
Fuzzy Hoeffding Decision Tree for Data Stream Classification. Int. J. Comput. Intell. Syst. 14(1): 946-964 (2021) - [c89]Alessandro Renda, Pietro Ducange, Gionatan Gallo, Francesco Marcelloni:
XAI Models for Quality of Experience Prediction in Wireless Networks. FUZZ-IEEE 2021: 1-6 - [c87]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 - [c86]José Luis Corcuera Bárcena, Francesco Marcelloni, Alessandro Renda, Alessio Bechini, Pietro Ducange:
A federated fuzzy c-means clustering algorithm. WILF 2021 - 2020
- [j78]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) - [c84]Alessandro Bondielli, Pietro Ducange, Francesco Marcelloni:
Exploiting Categorization of Online News for Profiling City Areas. EAIS 2020: 1-8 - [c83]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 - [c82]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 - 2019
- [j76]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) - [j75]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) - [c80]Riccardo Pecori, Pietro Ducange, Francesco Marcelloni:
Incremental Learning of Fuzzy Decision Trees for Streaming Data Classification. EUSFLAT Conf. 2019 - [c77]Livio Cascone, Pietro Ducange, Francesco Marcelloni:
Exploiting Online Newspaper Articles Metadata for Profiling City Areas. IDEAL (2) 2019: 203-215 - 2018
- [j71]Armando Segatori, Alessio Bechini, Pietro Ducange, Francesco Marcelloni:
A Distributed Fuzzy Associative Classifier for Big Data. IEEE Trans. Cybern. 48(9): 2656-2669 (2018) - [c75]Eleonora D'Andrea, Pietro Ducange, Danilo Loffreno, Francesco Marcelloni, Tommaso Zaccone:
Smart Profiling of City Areas Based on Web Data. SMARTCOMP 2018: 226-233 - 2017
- [j68]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) - [c72]Pietro Ducange, Giuseppe Mannara, Francesco Marcelloni:
Multi-objective evolutionary granular rule-based classifiers: An experimental comparison. FUZZ-IEEE 2017: 1-6 - [c71]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
- [j66]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) - 2015
- [j64]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) - [j63]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) - [c65]Pietro Ducange, Francesco Marcelloni, Armando Segatori:
A MapReduce-based fuzzy associative classifier for big data. FUZZ-IEEE 2015: 1-8 - 2014
- [j61]Michela Antonelli, Pietro Ducange, Francesco Marcelloni:
An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets. Neurocomputing 146: 125-136 (2014) - [j59]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) - [j57]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
- [j55]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) - [c62]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 - [c60]Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori:
Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison. IFSA/NAFIPS 2013: 13-18 - [c59]Michela Antonelli, Pietro Ducange, Francesco Marcelloni:
Feature Selection Based on Fuzzy Mutual Information. WILF 2013: 36-43 - 2012
- [j49]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) - [c57]Michela Antonelli, Pietro Ducange, Francesco Marcelloni:
Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers. FUZZ-IEEE 2012: 1-7 - [c55]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
- [j45]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) - [j44]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) - [c54]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 - [c53]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 - [c48]Pietro Ducange, Michela Fazzolari, Beatrice Lazzerini, Francesco Marcelloni:
An intelligent system for detecting faults in photovoltaic fields. ISDA 2011: 1341-1346 - [c45]Pietro Ducange, Francesco Marcelloni:
Multi-objective Evolutionary Fuzzy Systems. WILF 2011: 83-90 - 2010
- [j37]Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni:
Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets. Soft Comput. 14(7): 713-728 (2010) - [c42]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 - [c41]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 - 2009
- [j35]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) - [j34]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) - [j33]Francesco Marcelloni, Germano Resconi, Pietro Ducange:
Morphogenetic approach to system identification. Int. J. Intell. Syst. 24(9): 955-975 (2009) - [j30]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) - [c39]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 - [c38]Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni:
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems. HAIS 2009: 613-620 - [c36]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
- [c32]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 - [c30]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
- [j22]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) - [c28]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 - [c26]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
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-02-07 03:14 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
