Francesco Marcelloni
Orcid: 0000-0002-5895-876XAffiliations:
- University of Pisa, Italy
According to our database1,
Francesco Marcelloni
authored at least 214 papers
between 1996 and 2025.
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Bibliography
2025
Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees.
Inf. Fusion, 2025
2024
Federated $c$-Means and Fuzzy $c$-Means Clustering Algorithms for Horizontally and Vertically Partitioned Data.
IEEE Trans. Artif. Intell., December, 2024
Cogn. Comput., November, 2024
On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data.
IEEE Access, 2024
Unsupervised Learning of Speckle Removal from Real Ultrasound Acquisitions without Clean Data.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024
Performance Evaluation of YOLOv5 on Edge Devices for Personal Protective Equipment Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024
Explainable Intrusion Detection System in IoT Scenarios: A Cross-Device Model Training and Evaluation for Traffic Classification.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024
Trustworthy AI in Heterogeneous Settings: Federated Learning of Explainable Classifiers.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024
Deep Learning and Multi-Objective Evolutionary Fuzzy Classifiers: A Comparative Analysis for Brain Tumor Classification in MRI Images.
Proceedings of the 1st International Conference on Explainable AI for Neural and Symbolic Methods, 2024
Proceedings of the 1st International Conference on Explainable AI for Neural and Symbolic Methods, 2024
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024
2023
Comput. Commun., October, 2023
OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python.
SoftwareX, July, 2023
A System to Support Readers in Automatically Acquiring Complete Summarized Information on an Event from Different Sources.
Algorithms, 2023
The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G.
IEEE Access, 2023
Data Platform Guidelines and Prototype for Microgrids and Energy Access: Matching Demand Profiles and Socio-Economic Data to Foster Project Development.
IEEE Access, 2023
Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression.
Proceedings of the Explainable Artificial Intelligence, 2023
Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks.
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023
Trustworthy AI for Next Generation Networks: the Fed-XAI innovative paradigm from the Hexa-X EU Flagship Project.
Proceedings of the Italia Intelligenza Artificiale, 2023
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023
MULTI-Fake-DetectiVE at EVALITA 2023: Overview of the MULTImodal Fake News Detection and VErification Task.
Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023), 2023
2022
A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting.
ACM Trans. Knowl. Discov. Data, 2022
TSF-DBSCAN: A Novel Fuzzy Density-Based Approach for Clustering Unbounded Data Streams.
IEEE Trans. Fuzzy Syst., 2022
In-context annotation of topic-oriented datasets of fake news: A case study on the notre-dame fire event.
Inf. Sci., 2022
Federated Learning of Explainable AI Models in 6G Systems: Towards Secure and Automated Vehicle Networking.
Inf., 2022
Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI 2022), 2022
Proceedings of the 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), 2022
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022
Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022
Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022
2021
Int. J. Comput. Intell. Syst., 2021
IEEE Intell. Syst., 2021
Expert Syst. Appl., 2021
Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application.
IEEE Access, 2021
Mining the Stream of News for City Areas Profiling: a Case Study for the City of Rome.
Proceedings of the IEEE International Conference on Smart Computing, 2021
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
Managing Students from 23 Different Countries in Distance Learning: The Foundation Course Experience of the University of Pisa.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2021
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
2020
An overview of recent distributed algorithms for learning fuzzy models in Big Data classification.
J. Big Data, 2020
Expert Syst. Appl., 2020
A System for Multi-Passenger Urban Ridesharing Recommendations with Ordered Multiple Stops.
Comput. J., 2020
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
FDBSCAN-APT: A Fuzzy Density-based Clustering Algorithm with Automatic Parameter Tuning.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020
UNIPI-NLE at CheckThat! 2020: Approaching Fact Checking from a Sentence Similarity Perspective Through the Lens of Transformers.
Proceedings of the Working Notes of CLEF 2020, 2020
2019
Comparing ensemble strategies for deep learning: An application to facial expression recognition.
Expert Syst. Appl., 2019
Expert Syst. Appl., 2019
Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach.
Cogn. Comput., 2019
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?
IEEE Comput. Intell. Mag., 2019
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
A Data-Driven Approach to Automatic Extraction of Professional Figure Profiles from Résumés.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019
Proceedings of the Database and Expert Systems Applications, 2019
2018
Building efficient fuzzy regression trees for large scale and high dimensional problems.
J. Big Data, 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018
Proceedings of the Machine Learning, Optimization, and Data Science, 2018
2017
Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification.
IEEE Trans. Fuzzy Syst., 2017
A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data.
Inf. Sci., 2017
Expert Syst. Appl., 2017
A novel approach for internet traffic classification based on multi-objective evolutionary fuzzy classifiers.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Multi-objective evolutionary granular rule-based classifiers: An experimental comparison.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
On the influence of feature selection in fuzzy rule-based regression model generation.
Inf. Sci., 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016
Path Clustering Based on a Novel Dissimilarity Function for Ride-Sharing Recommenders.
Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016
Solving the environmental economic dispatch problem with prohibited operating zones in microgrids using NSGA-II and TOPSIS.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
IEEE Trans. Intell. Transp. Syst., 2015
A novel associative classification model based on a fuzzy frequent pattern mining algorithm.
Expert Syst. Appl., 2015
Proceedings of the 9th International Conference on Next Generation Mobile Applications, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2014
Proceedings of the Advances onto the Internet of Things, 2014
IEEE Trans. Wirel. Commun., 2014
A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring.
IEEE Trans. Ind. Informatics, 2014
J. Ambient Intell. Humaniz. Comput., 2014
A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers.
Inf. Sci., 2014
A multi-agent system for enabling collaborative situation awareness via position-based stigmergy and neuro-fuzzy learning.
Neurocomputing, 2014
An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets.
Neurocomputing, 2014
ERCIM News, 2014
2013
Exploiting Multi-Objective Evolutionary Algorithms for Designing Energy-Efficient Solutions to Data Compression and Node Localization in Wireless Sensor Networks.
Proceedings of the Evolutionary Based Solutions for Green Computing, 2013
A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off.
Knowl. Based Syst., 2013
A collaborative situation-aware scheme based on an emergent paradigm for mobile resource recommenders.
J. Ambient Intell. Humaniz. Comput., 2013
Int. J. Approx. Reason., 2013
Reconfiguration of environmental data compression parameters through cognitive IoT technologies.
Proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, 2013
Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Proceedings of the Sustainable Internet and ICT for Sustainability, 2013
Proceedings of the Sustainable Internet and ICT for Sustainability, 2013
2012
Proceedings of the Methodologies and Technologies for Networked Enterprises, 2012
Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach.
IEEE Trans. Fuzzy Syst., 2012
An efficient model-based methodology for developing device-independent mobile applications.
J. Syst. Archit., 2012
Expert Syst. Appl., 2012
A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks.
Appl. Soft Comput., 2012
An algorithm based on finite state machines with fuzzy transitions for non-intrusive load disaggregation.
Proceedings of the Sustainable Internet and ICT for Sustainability, 2012
A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers.
Proceedings of the FUZZ-IEEE 2012, 2012
Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity.
Soft Comput., 2011
Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index.
Soft Comput., 2011
Pattern Anal. Appl., 2011
Inf. Sci., 2011
On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems.
Appl. Soft Comput., 2011
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011
Solving the node localization problem in WSNs by a two-objective evolutionary algorithm and local descent.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011
An Effective Metaheuristic Approach to Node Localization in Wireless Sensor Networks.
Proceedings of the IEEE 8th International Conference on Mobile Adhoc and Sensor Systems, 2011
A study on the application of different two-objective evolutionary algorithms to the node localization problem in wireless sensor networks.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 16th IEEE Symposium on Computers and Communications, 2011
Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011
A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems.
Proceedings of the FUZZ-IEEE 2011, 2011
2010
Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets.
Soft Comput., 2010
Enabling energy-efficient and lossy-aware data compression in wireless sensor networks by multi-objective evolutionary optimization.
Inf. Sci., 2010
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010
A two-objective evolutionary approach to design lossy compression algorithms for tiny nodes of wireless sensor networks.
Evol. Intell., 2010
A multi-objective evolutionary approach to image quality/compression trade-off in JPEG baseline algorithm.
Appl. Soft Comput., 2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems.
Proceedings of the FUZZ-IEEE 2010, 2010
Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems.
Proceedings of the FUZZ-IEEE 2010, 2010
Combining Fuzzy Logic and Semantic Web to Enable Situation-Awareness in Service Recommendation.
Proceedings of the Database and Expert Systems Applications, 21st International Conference, 2010
2009
A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems.
IEEE Trans. Fuzzy Syst., 2009
Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index.
Soft Comput., 2009
Neurocomputing, 2009
Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework.
Int. J. Approx. Reason., 2009
Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems.
Evol. Intell., 2009
An Efficient Lossless Compression Algorithm for Tiny Nodes of Monitoring Wireless Sensor Networks.
Comput. J., 2009
A Multi-objective Evolutionary Approach to Data Compression in Wireless Sensor Networks.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Using BPMN and Tracing for Rapid Business Process Prototyping Environments.
Proceedings of the ICEIS 2009, 2009
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
2008
Solving the ocean color inverse problem by using evolutionary multi-objective optimization of neuro-fuzzy systems.
Int. J. Knowl. Based Intell. Eng. Syst., 2008
Patterns and technologies for enabling supply chain traceability through collaborative e-business.
Inf. Softw. Technol., 2008
IEEE Commun. Lett., 2008
Reducing Power Consumption in Wireless Sensor Networks Using a Novel Approach to Data Aggregation.
Comput. J., 2008
Complexity reduction of Mamdani Fuzzy Systems through multi-valued logic minimization.
Proceedings of the IEEE International Conference on Systems, 2008
Fast Multiobjective Genetic Rule Learning Using an Efficient Method for Takagi-Sugeno Fuzzy Systems Identification.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008
2007
Soft Comput., 2007
A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems.
Soft Comput., 2007
Estimating the concentration of optically active constituents of sea water by Takagi-Sugeno models with quadratic rule consequents.
Pattern Recognit., 2007
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007
Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space.
Proceedings of the FUZZ-IEEE 2007, 2007
Exploiting Fuzzy Ordering Relations to Preserve Interpretability in Context Adaptation of Fuzzy Systems.
Proceedings of the FUZZ-IEEE 2007, 2007
A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
A novel approach to fuzzy clustering based on a dissimilarity relation extracted from data using a TS system.
Pattern Recognit., 2006
Neural Comput. Appl., 2006
J. Intell. Fuzzy Syst., 2006
Context Adaptation of Mamdani Fuzzy Systems through New Operators Tuned by a Genetic Algorithm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
2005
Soft Comput., 2005
Identification of Takagi-Sugeno Fuzzy Systems Based on Multi-objective Genetic Algorithms.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005
Proceedings of the 7th IEEE International Conference on E-Commerce Technology Workshops (CEC 2005 Workshops), 2005
Proceedings of the 7th IEEE International Conference on E-Commerce Technology Workshops (CEC 2005 Workshops), 2005
Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 31 January, 2005
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005
2004
A fuzzy relational clustering algorithm based on a dissimilarity measure extracted from data.
IEEE Trans. Syst. Man Cybern. Part B, 2004
IEEE Trans. Syst. Man Cybern. Part B, 2004
Fuzzy logic-based object-oriented methods to reduce quantization error and contextual bias problems in software development.
Fuzzy Sets Syst., 2004
On the Noise Distance in Robust Fuzzy C-Means.
Proceedings of the International Conference on Computational Intelligence, 2004
Lung Nodule Detection in CT Scans.
Proceedings of the International Conference on Computational Intelligence, 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
2003
Inf. Sci., 2003
Proceedings of the IEEE International Conference on Systems, 2003
Relational clustering based on a dissimilarity relation extracted from data by a TS model.
Proceedings of the IEEE International Conference on Systems, 2003
An Artificial Olfactory System for Quality and Geographical Discrimination of Olive Oils.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
A system based on a modified version of the FCM algorithm for profiling web users from access log.
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003
2002
A fuzzy model for the retrieval of the sea water optically active constituents concentration from MERIS data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002
Odour Classification based on Computational Intelligence Techniques.
Proceedings of the Advances in Computational Intelligence and Learning: Methods and Applications, 2002
2001
Recognition of olfactory signals based on supervised fuzzy C-means and k-NN algorithms.
Pattern Recognit. Lett., 2001
Concurr. Comput. Pract. Exp., 2001
2000
Pattern Recognit. Lett., 2000
Pattern Anal. Appl., 2000
Some considerations on input and output partitions to produce meaningful conclusions in fuzzy inference.
Fuzzy Sets Syst., 2000
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000
1999
Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998
1997
Pattern Recognit. Lett., 1997
Proceedings of the Object-Oriented Technology, ECOOP'97 Workshop Reader, 1997
Proceedings of the Object-Oriented Technology, ECOOP'97 Workshop Reader, 1997
1996
Proceedings of the Eigth International Conference on Tools with Artificial Intelligence, 1996