Pietro Ducange
Orcid: 0000-0003-4510-1350Affiliations:
- University of Pisa, Italy
According to our database1,
Pietro Ducange
authored at least 94 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
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
2023
Comput. Commun., October, 2023
OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python.
SoftwareX, July, 2023
Exploiting Simu5G for generating datasets for training and testing AI models for 5G/6G network applications.
SoftwareX, February, 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
2022
A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting.
ACM Trans. Knowl. Discov. Data, 2022
Federated Learning of Explainable AI Models in 6G Systems: Towards Secure and Automated Vehicle Networking.
Inf., 2022
A Smart System for Personal Protective Equipment Detection in Industrial Environments Based on Deep Learning at the Edge.
IEEE Access, 2022
Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective.
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 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 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 9th International Conference on Information Technology and Quantitative Management, 2022
Incremental and Interpretable Learning Analytics Through Fuzzy Hoeffding Decision Trees.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 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
An Explainable and Evolving Car Driver Identification System based on Decision Trees.
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
Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application.
IEEE Access, 2021
A Smart System for Personal Protective Equipment Detection in Industrial Environments Based on Deep Learning.
Proceedings of the IEEE International Conference on Smart Computing, 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 30th IEEE International Conference on Fuzzy Systems, 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
Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
Leveraging Cloud Infrastructures for Teaching Advanced Computer Engineering Classes - Experiences at the University of Pisa.
Proceedings of the Bridges and Mediation in Higher Distance Education, 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 29th IEEE International Conference on Fuzzy Systems, 2020
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020
2019
Expert Syst. Appl., 2019
An effective Decision Support System for social media listening based on cross-source sentiment analysis models.
Eng. Appl. Artif. Intell., 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
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Smartphones and Exergame Controllers as BYOD Solutions for the e-tivities of an Online Sport and Exercise Sciences University Program.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2019
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019
2018
An Integrated Topology Control Framework to Accelerate Consensus in Broadcast Wireless Sensor Networks.
IEEE Trans. Wirel. Commun., 2018
Soft Comput., 2018
IEEE Access, 2018
Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018
Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018
2017
A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data.
Inf. Sci., 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
2016
On the influence of feature selection in fuzzy rule-based regression model generation.
Inf. Sci., 2016
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 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 2015 IEEE International Conference on Fuzzy Systems, 2015
2014
A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring.
IEEE Trans. Ind. Informatics, 2014
A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers.
Inf. Sci., 2014
An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets.
Neurocomputing, 2014
2013
Int. J. Approx. Reason., 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
2012
Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach.
IEEE Trans. Fuzzy Syst., 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
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
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 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
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
2009
PhD thesis, 2009
A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems.
IEEE Trans. Fuzzy Syst., 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
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
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
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
2007
A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems.
Soft Comput., 2007
Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space.
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