F. Marcelloni

发表

Twitter as a sentinel tool to monitor public opinion on vaccination: an opinion mining analysis from September 2016 to August 2017 in Italy

L. Tavoschi, F. Quattrone, E. D'Andrea, 2020, Human vaccines & immunotherapeutics.

Context adaptation of mamdani fuzzy rule based systems

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2008 .

Multi-objective evolutionary design of granular rule-based classifiers

P. Ducange, F. Marcelloni, B. Lazzerini, 2016 .

Approaching the ocean color problem using fuzzy rules

G. Corsini, F. Marcelloni, B. Lazzerini, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

A Fuzzy Approach to 2-D Shape Recognition

F. Marcelloni, B. Lazzerini, 2001 .

A News-based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting

José Luis Corcuera Bárcena, P. Ducange, F. Marcelloni, 2022 .

Autonomic tracing of production processes with mobile and agent-based computing

Francesco Marcelloni, Mario G. C. A. Cimino, F. Marcelloni, 2011, Inf. Sci..

Context adaptation of mamdani fuzzy rule based systems

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2008, Int. J. Intell. Syst..

Monitoring negative opinion about vaccines from tweets analysis

E. D'Andrea, P. Ducange, F. Marcelloni, 2017, 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN).

A Feature Selection Method based on Fuzzy Mutual Information for Fuzzy Rule-based Regression Models

P. Ducange, F. Marcelloni, M. Antonelli, 2014 .

X Enabling Compression in Tiny Wireless Sensor Nodes

F. Marcelloni, M. Vecchio, 2017 .

Second-order Takagi-Sugeno model to identify sea water optically active constituent concentrations from Meris data

F. Marcelloni, B. Lazzerini, M. Cococcioni, 2003 .

Exploiting FuzzyOrdering Relations toPreserve Interpretability in Context Adaptation ofFuzzySystems

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2007 .

Processing alarms with a rule-based expert system

Beatrice Lazzerini, Francesco Marcelloni, G. Frosini, 1993 .

`A Neuro-Fuzzy System for Off-line Recognition of Handwritten Text

Beatrice Lazzerini, Francesco Marcelloni, Leonardo Reyneri, 2000 .

Improving reusability in object-oriented programming: The Molecule

Beatrice Lazzerini, Francesco Marcelloni, A. Maggiore, 1995 .

Clustering based on a dissimilarity measure derived from data

Beatrice Lazzerini, Francesco Marcelloni, Paolo Corsini, 2002 .

NEW OPERATORS FOR CONTEXT ADAPTATION OF MAMDANI FUZZY SYSTEMS

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2006 .

A CAD System for Detecting Lung Nodules in CT Scans based on Multi-Objective Evolutionary Fuzzy Classifiers

Beatrice Lazzerini, Michela Antonelli, Pietro Ducange, 2013, SOCO 2013.

A System for Multi-Passenger Urban Ridesharing Recommendations with Ordered Multiple Stops

Eleonora D'Andrea, Beatrice Lazzerini, Francesco Marcelloni, 2020, Comput. J..

A tool for building expert systems which carry out academic exams

Beatrice Lazzerini, Francesco Marcelloni, G. Frosini, 1993 .

On the use of neural networks and fuzzy rules in the ocean colour analysis

Giovanni Corsini, Beatrice Lazzerini, Francesco Marcelloni, 2004 .

A new approach to modularization of large object-oriented systems

Beatrice Lazzerini, Francesco Marcelloni, A. Belkhelladi, 1994 .

Electronic nose based on linguistic fuzzy classification

Beatrice Lazzerini, Francesco Marcelloni, D. De Rossi, 1998 .

Integration of neural network and context analysis techniques automatic handwriting recognition (Italian)

Beatrice Lazzerini, Francesco Marcelloni, Leonardo Reyneri, 1998 .

Combining Context, Statistics and Fuzzy Modelling for Automatic Recognition of Handwritten Sentences

Beatrice Lazzerini, Francesco Marcelloni, F. Marcelloni, 2001 .

Improving performance of MISO fuzzy systems

Beatrice Lazzerini, Francesco Marcelloni, F. Marcelloni, 1997 .

The 6R framework and the sustainable manufacturing paradigm: an automatic analysis and clustering of scientific literature

Michele Dassisti, Pietro Ducange, Francesco Marcelloni, 2017 .

‘U-Sense', A Cooperative Sensing System for Monitoring Air Quality in Urban Areas

Giuseppe Anastasi, Francesco Marcelloni, Paolo Bruschi, 2014, ERCIM News.

An Approach to Federated Learning of Explainable Fuzzy Regression Models

José Luis Corcuera Bárcena, P. Ducange, F. Marcelloni, 2022, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting

José Luis Corcuera Bárcena, P. Ducange, F. Marcelloni, 2022, ACM Trans. Knowl. Discov. Data.

On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2011, Appl. Soft Comput..

A Hierarchical Fuzzy Clustering-based System to Create User Profiles

Beatrice Lazzerini, Francesco Marcelloni, F. Marcelloni, 2007, Soft Comput..

A fuzzy system for profiling web portal users from web access log

Francesco Marcelloni, Paolo Corsini, F. Marcelloni, 2006, J. Intell. Fuzzy Syst..

Low-Effort Support to Efficient Urban Parking in a Smart City Perspective

Francesco Marcelloni, Alessio Bechini, Armando Segatori, 2014, Advances onto the Internet of Things.

A survey on fake news and rumour detection techniques

Francesco Marcelloni, Alessandro Bondielli, F. Marcelloni, 2019, Inf. Sci..

Some considerations on input and output partitions to produce meaningful conclusions in fuzzy inference

Beatrice Lazzerini, Francesco Marcelloni, F. Marcelloni, 2000, Fuzzy Sets Syst..

Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification

Hani Hagras, Michela Antonelli, Francesco Marcelloni, 2017, IEEE Transactions on Fuzzy Systems.

A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2014, Inf. Sci..

An efficient multi-objective evolutionary fuzzy system for regression problems

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2013, Int. J. Approx. Reason..

Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2012, IEEE Transactions on Fuzzy Systems.

Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity

Beatrice Lazzerini, Michela Antonelli, Pietro Ducange, 2011, Soft Comput..

Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index

Beatrice Lazzerini, Michela Antonelli, Pietro Ducange, 2011, Soft Comput..

Multi-objective Evolutionary Fuzzy Systems

Pietro Ducange, Francesco Marcelloni, P. Ducange, 2011, WILF.

Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets

Beatrice Lazzerini, Pietro Ducange, Francesco Marcelloni, 2010, Soft Comput..

Towards Efficient Multi-objective Genetic Takagi-Sugeno Fuzzy Systems for High Dimensional Problems

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2010 .

Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems

Beatrice Lazzerini, Michela Antonelli, Pietro Ducange, 2009, Evol. Intell..

A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems

Francisco Herrera, Rafael Alcalá, Beatrice Lazzerini, 2009, IEEE Transactions on Fuzzy Systems.

Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework

Beatrice Lazzerini, Michela Antonelli, Pietro Ducange, 2009, Int. J. Approx. Reason..

Solving the ocean color inverse problem by using evolutionary multi-objective optimization of neuro-fuzzy systems

Giovanni Corsini, Beatrice Lazzerini, Francesco Marcelloni, 2008, Int. J. Knowl. Based Intell. Eng. Syst..

A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems

Beatrice Lazzerini, Pietro Ducange, Francesco Marcelloni, 2007, Soft Comput..

A Comparison of Multi-Ojective Evolutionary Algorithms in Fuzzy Rule-Based Systems Generation

B. Lazzerini, F. Marcelloni, M. Cococcioni, 2006, NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society.

Identification of Mamdani Fuzzy Systems based on a Multi-Objective Genetic Algorithm

Beatrice Lazzerini, Pietro Ducange, Francesco Marcelloni, 2005 .

Combining supervised and unsupervised learning for data clustering

Beatrice Lazzerini, Francesco Marcelloni, Paolo Corsini, 2006, Neural Computing & Applications.

Leaving inconsistency using fuzzy logic

Francesco Marcelloni, Mehmet Aksit, M. Aksit, 2001, Inf. Softw. Technol..

Improving object-oriented methods by using fuzzy logic

Francesco Marcelloni, Mehmet Aksit, M. Aksit, 2000, SIAP.

Patterns and technologies for enabling supply chain traceability through collaborative e-business

Francesco Marcelloni, Mario G. C. A. Cimino, Alessio Bechini, 2008, Inf. Softw. Technol..

Cerere: an information system supporting traceability in the food supply chain

Beatrice Lazzerini, Francesco Marcelloni, Mario G. C. A. Cimino, 2005, Seventh IEEE International Conference on E-Commerce Technology Workshops.

A WSN-based testbed for energy efficiency in buildings

Giuseppe Anastasi, Francesco Marcelloni, Francesco Corucci, 2011, 2011 IEEE Symposium on Computers and Communications (ISCC).

An electronic nose for odour annoyance assessment

Beatrice Lazzerini, Francesco Marcelloni, Giovanni Pioggia, 2001 .

Enabling Compression in Tiny Wireless Sensor Nodes

Francesco Marcelloni, Massimo Vecchio, F. Marcelloni, 2011 .

An Efficient Lossless Compression Algorithm for Tiny Nodes of Monitoring Wireless Sensor Networks

Francesco Marcelloni, Massimo Vecchio, F. Marcelloni, 2009, Comput. J..

A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems

Beatrice Lazzerini, Michela Antonelli, Pietro Ducange, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization

Beatrice Lazzerini, Pietro Ducange, Francesco Marcelloni, 2007, 2007 IEEE Congress on Evolutionary Computation.

A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off

Francisco Herrera, Rafael Alcalá, Francesco Marcelloni, 2013, Knowl. Based Syst..

Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2008, Soft Comput..

A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks

Francesco Marcelloni, Massimo Vecchio, Roberto López-Valcarce, 2012, Appl. Soft Comput..

A two-objective evolutionary approach to design lossy compression algorithms for tiny nodes of wireless sensor networks

Francesco Marcelloni, Massimo Vecchio, F. Marcelloni, 2010, Evol. Intell..

Enabling energy-efficient and lossy-aware data compression in wireless sensor networks by multi-objective evolutionary optimization

Francesco Marcelloni, Massimo Vecchio, F. Marcelloni, 2010, Inf. Sci..

A multi-objective evolutionary approach to image quality/compression trade-off in JPEG baseline algorithm

Beatrice Lazzerini, Francesco Marcelloni, Massimo Vecchio, 2010, Appl. Soft Comput..

Estimating the concentration of optically active constituents of sea water by Takagi-Sugeno models with quadratic rule consequents

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2007, Pattern Recognit..

A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers

Francisco Herrera, Rafael Alcalá, Francesco Marcelloni, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Genetic interval neural networks for granular data regression

Witold Pedrycz, Beatrice Lazzerini, Francesco Marcelloni, 2014, Inf. Sci..

Monitoring the public opinion about the vaccination topic from tweets analysis

Eleonora D'Andrea, Pietro Ducange, Francesco Marcelloni, 2019, Expert Syst. Appl..

A collaborative situation-aware scheme based on an emergent paradigm for mobile resource recommenders

Giovanna Castellano, Anna Maria Fanelli, Beatrice Lazzerini, 2013, J. Ambient Intell. Humaniz. Comput..

Designing Software Architectures As a Composition of Specializations of Knowledge Domains

Bedir Tekinerdogan, Francesco Marcelloni, Lodewijk Bergmans, 1995 .

Database and Expert Systems Applications: DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26–29, 2019, Proceedings

Francesco Marcelloni, Davide Verzotto, Mourad Elloumi, 2019, DEXA Workshops.

Database and Expert Systems Applications

Francesco Marcelloni, Davide Verzotto, Mourad Elloumi, 2018, Communications in Computer and Information Science.

An overview of recent distributed algorithms for learning fuzzy models in Big Data classification

P. Ducange, F. Marcelloni, Michela Fazzolari, 2020, Journal of Big Data.

A Multi-Objective Cooperative Coevolutionary Approach to Mamdani Fuzzy System Generation

Alessio Botta, Beatrice Lazzerini, Pietro Ducange, 2008 .

Using context history to personalize a resource recommender via a genetic algorithm

Beatrice Lazzerini, Francesco Marcelloni, Mario G. C. A. Cimino, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

An intelligent system for detecting faults in photovoltaic fields

Beatrice Lazzerini, Pietro Ducange, Francesco Marcelloni, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?

María José del Jesús, Francisco Herrera, Oscar Cordón, 2019, IEEE Computational Intelligence Magazine.

On the influence of feature selection in fuzzy rule-based regression model generation

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2016, Inf. Sci..

Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems

Beatrice Lazzerini, Michela Antonelli, Pietro Ducange, 2009, IFSA/EUSFLAT Conf..

A survey of approaches to context adaptation of fuzzy systems

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2007 .

Context Adaptation of Mamdani Fuzzy Systems through New Operators Tuned by a Genetic Algorithm

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Using BPMN and Tracing for Rapid Business Process Prototyping Environments

Beatrice Lazzerini, Francesco Marcelloni, Mario G. C. A. Cimino, 2009, ICEIS.

Real-Time Detection of Traffic From Twitter Stream Analysis

Eleonora D'Andrea, Beatrice Lazzerini, Pietro Ducange, 2015, IEEE Transactions on Intelligent Transportation Systems.

A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2014, IEEE Transactions on Industrial Informatics.

Complexity reduction of Mamdani Fuzzy Systems through multi-valued logic minimization

Luca Foschini, Beatrice Lazzerini, Francesco Marcelloni, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Automating Software Development Process using Fuzzy Logic

Francesco Marcelloni, Mehmet Aksit, M. Aksit, 2004 .

Deferring elimination of design alternatives in object‐oriented methods

Francesco Marcelloni, Mehmet Aksit, M. Aksit, 2001, Concurr. Comput. Pract. Exp..

Reducing quantization error and contextual bias problems in object-oriented methods by applying fuzz

Francesco Marcelloni, Mehmet Aksit, M. Aksit, 1999 .

An adaptive rule-based approach for managing situation-awareness

Beatrice Lazzerini, Francesco Marcelloni, Mario G. C. A. Cimino, 2012, Expert Syst. Appl..

A collaborative situation-aware scheme based on an emergent paradigm for mobile resource recommenders

M. A. Torsello, G. Castellano, A. Fanelli, 2012, Journal of Ambient Intelligence and Humanized Computing.

Implicitly distributed fuzzy random forests

Francesco Marcelloni, Alessio Bechini, Marco Barsacchi, 2021, SAC.

Feature selection based on a modified fuzzy C-means algorithm with supervision

Francesco Marcelloni, F. Marcelloni, 2003, Inf. Sci..

TSF-DBSCAN: A Novel Fuzzy Density-Based Approach for Clustering Unbounded Data Streams

F. Marcelloni, A. Bechini, Alessandro Renda, 2022, IEEE transactions on fuzzy systems.

A Multi-objective evolutionary fuzzy system for big data

Francesco Marcelloni, Armando Segatori, Andrea Ferranti, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection

Beatrice Lazzerini, Michela Antonelli, Pietro Ducange, 2011, 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

Exploiting Categorization of Online News for Profiling City Areas

Pietro Ducange, Francesco Marcelloni, Alessandro Bondielli, 2020, 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Exploiting Online Newspaper Articles Metadata for Profiling City Areas

Pietro Ducange, Francesco Marcelloni, Livio Cascone, 2019, IDEAL.

Detection of traffic congestion and incidents from GPS trace analysis

Francesco Marcelloni, Eleonora D’Andrea, F. Marcelloni, 2017, Expert Syst. Appl..

A MapReduce solution for associative classification of big data

Francesco Marcelloni, Alessio Bechini, Armando Segatori, 2016, Inf. Sci..

A MapReduce-based fuzzy associative classifier for big data

Pietro Ducange, Francesco Marcelloni, Armando Segatori, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A novel associative classification model based on a fuzzy frequent pattern mining algorithm

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2015, Expert Syst. Appl..

Comparing ensemble strategies for deep learning: An application to facial expression recognition

Francesco Marcelloni, Alessio Bechini, Alessandro Renda, 2019, Expert Syst. Appl..

Assessing Accuracy of Ensemble Learning for Facial Expression Recognition with CNNs

Francesco Marcelloni, Alessio Bechini, Alessandro Renda, 2018, LOD.

Recognition of olfactory signals based on supervised fuzzy C-means and k-NN algorithms

Francesco Marcelloni, F. Marcelloni, 2001, Pattern Recognit. Lett..

A federated fuzzy c-means clustering algorithm

José Luis Corcuera Bárcena, P. Ducange, F. Marcelloni, 2021, WILF.

Reducing Power Consumption in Wireless Sensor Networks Using a Novel Approach to Data Aggregation

Francesco Marcelloni, Massimo Vecchio, Silvio Croce, 2008, Comput. J..

An efficient model-based methodology for developing device-independent mobile applications

Francesco Marcelloni, Mario G. C. A. Cimino, F. Marcelloni, 2012, J. Syst. Archit..

Online Monitoring of Stance from Tweets: The case of Green Pass in Italy

P. Ducange, F. Marcelloni, Alessandro Bondielli, 2022, 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks

José Luis Corcuera Bárcena, P. Ducange, F. Marcelloni, 2022 .

Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application

Pietro Ducange, Francesco Marcelloni, Alessio Bechini, 2021, IEEE Access.

A genetic algorithm for generating optimal assembly plans

Beatrice Lazzerini, Francesco Marcelloni, F. Marcelloni, 2000, Artif. Intell. Eng..

The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G

Miltiadis C. Filippou, P. Demestichas, M. Uusitalo, 2023, IEEE Access.

Reducing computation overhead in MISO fuzzy systems

Beatrice Lazzerini, Francesco Marcelloni, F. Marcelloni, 2000, Fuzzy Sets Syst..

A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2017, Inf. Sci..

UNIPI-NLE at CheckThat! 2020: Approaching Fact Checking from a Sentence Similarity Perspective Through the Lens of Transformers

Francesco Marcelloni, Alessandro Lenci, Lucia C. Passaro, 2020, CLEF.

Urban and social sensing for sustainable mobility in smart cities

Giuseppe Anastasi, Eleonora D'Andrea, Beatrice Lazzerini, 2013, 2013 Sustainable Internet and ICT for Sustainability (SustainIT).

Theoretical and Practical Analyses in Metagenomic Sequence Classification

Francesco Marcelloni, Davide Verzotto, Mourad Elloumi, 2019, DEXA Workshops.

A system based on a modified version of the FCM algorithm for profiling web users from access log

Beatrice Lazzerini, Francesco Marcelloni, Paolo Corsini, 2003, EUSFLAT Conf..

Feature Selection based on Similarity

Beatrice Lazzerini, Francesco Marcelloni, F. Marcelloni, 2002 .

An analysis of boosted ensembles of binary fuzzy decision trees

Francesco Marcelloni, Alessio Bechini, Marco Barsacchi, 2020, Expert Syst. Appl..

Enabling Traceability in the Wine Supply Chain

Francesco Marcelloni, Mario G. C. A. Cimino, F. Marcelloni, 2012, ArtDeco.

Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2010, International Conference on Fuzzy Systems.

An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2014, Neurocomputing.

A Simple Algorithm for Data Compression in Wireless Sensor Networks

Francesco Marcelloni, Massimo Vecchio, F. Marcelloni, 2008, IEEE Communications Letters.

On Distributed Fuzzy Decision Trees for Big Data

Witold Pedrycz, Francesco Marcelloni, Armando Segatori, 2018, IEEE Transactions on Fuzzy Systems.

A new approach to fuzzy random forest generation

Francesco Marcelloni, Adriano Donato De Matteis, Armando Segatori, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

SK-MOEFS: A Library in Python for Designing Accurate and Explainable Fuzzy Models

Pietro Ducange, Francesco Marcelloni, Vincenzo Ferrari, 2020, IPMU.

Generation of Optimized Assembly Sequences Using Genetic Algorithms

Beatrice Lazzerini, Francesco Marcelloni, Franco Failli, 1999 .

A system based on hierarchical fuzzy clustering for web users profiling

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Building efficient fuzzy regression trees for large scale and high dimensional problems

F. Marcelloni, Javier Cózar, J. A. Gamez, 2018, Journal of Big Data.

Multi-objective evolutionary design of granular rule-based classifiers

P. Ducange, F. Marcelloni, B. Lazzerini, 2015, Granular Computing.

On the use of summarization and transformer architectures for profiling résumés

F. Marcelloni, Alessandro Bondielli, 2021, Expert Syst. Appl..

A Data-Driven Approach to Automatic Extraction of Professional Figure Profiles from Résumés

Francesco Marcelloni, Alessandro Bondielli, F. Marcelloni, 2019, IDEAL.

Multi-objective evolutionary granular rule-based classifiers: An experimental comparison

Pietro Ducange, Francesco Marcelloni, Giuseppe Mannara, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Data Platform Guidelines and Prototype for Microgrids and Energy Access: Matching Demand Profiles and Socio-Economic Data to Foster Project Development

P. Ducange, F. Marcelloni, D. Fioriti, 2023, IEEE Access.

Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework

Francisco Herrera, Rafael Alcalá, Beatrice Lazzerini, 2008, HAIS.

The use of ontologies for representing database schemas of fuzzy information

M. Amparo Vila, Ignacio J. Blanco, Carmen Martinez-Cruz, 2008 .

Using multilayer perceptrons as receptive fields in the design of neural networks

Witold Pedrycz, Beatrice Lazzerini, Francesco Marcelloni, 2009, Neurocomputing.

A Multi-objective Evolutionary Approach to Data Compression in Wireless Sensor Networks

Francesco Marcelloni, Massimo Vecchio, F. Marcelloni, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Exploiting Multi-Objective Evolutionary Algorithms for Designing Energy-Efficient Solutions to Data Compression and Node Localization in Wireless Sensor Networks

Francesco Marcelloni, Massimo Vecchio, F. Marcelloni, 2013, Evolutionary Based Solutions for Green Computing.

An Explainable Intrusion Detection System for IoT Networks

P. Ducange, F. Marcelloni, Michela Fazzolari, 2023, 2023 IEEE International Conference on Fuzzy Systems (FUZZ).

Exploring the relations between supply chain performance and organizational culture: A fuzzy grey group decision model

Francesco Marcelloni, Lucas Gabriel Zanon, Mateus Cecílio Gerolamo, 2021 .

An Effective Metaheuristic Approach to Node Localization in Wireless Sensor Networks

Francesco Marcelloni, Roberto López-Valcarce, Massimo Vecchio, 2011, 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems.

Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space

Beatrice Lazzerini, Pietro Ducange, Francesco Marcelloni, 2007, 2007 IEEE International Fuzzy Systems Conference.

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications

W. Pedrycz, Los Alamitos, F. Gomide, 2009 .

Fuzzy logic-based object-oriented methods to reduce quantization error and contextual bias problems in software development

Francesco Marcelloni, Mehmet Aksit, M. Aksit, 2004, Fuzzy Sets Syst..

Applying Fuzzy Logic Techniques in Object-Oriented Software Development

Francesco Marcelloni, Mehmet Aksit, M. Aksit, 1997, ECOOP Workshops.

XAI Models for Quality of Experience Prediction in Wireless Networks

Pietro Ducange, Francesco Marcelloni, Gionatan Gallo, 2021, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Federated Learning of Explainable AI Models in 6G Systems: Towards Secure and Automated Vehicle Networking

Miltiadis C. Filippou, P. Ducange, F. Marcelloni, 2022, Inf..

Adaptive Lossless Entropy Compressors for Tiny IoT Devices

Francesco Marcelloni, Massimo Vecchio, Raffaele Giaffreda, 2014, IEEE Transactions on Wireless Communications.

Reconfiguration of environmental data compression parameters through cognitive IoT technologies

Francesco Marcelloni, Massimo Vecchio, Raffaele Giaffreda, 2013, 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

FDBSCAN-APT: A Fuzzy Density-based Clustering Algorithm with Automatic Parameter Tuning

Pietro Ducange, Francesco Marcelloni, Alessio Bechini, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach

Pietro Ducange, Francesco Marcelloni, Alessio Bechini, 2019, Cognitive Computation.

Segmentation and reconstruction of the lung and the mediastinum volumes in CT images

Beatrice Lazzerini, Francesco Marcelloni, Dan C. Stefanescu, 2009, 2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies.

Real-Time Detection of Traffic From Twitter Stream Analysis

P. Ducange, F. Marcelloni, B. Lazzerini, 2015, IEEE Transactions on Intelligent Transportation Systems.

A novel approach to fuzzy clustering based on a dissimilarity relation extracted from data using a TS system

Beatrice Lazzerini, Francesco Marcelloni, Mario G. C. A. Cimino, 2006, Pattern Recognit..

Relational clustering based on a dissimilarity relation extracted from data by a TS model

Beatrice Lazzerini, Francesco Marcelloni, Mario G. C. A. Cimino, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).