Francesco Marcelloni

发表

Multi-Objective Evolutionary Design of Fuzzy Rule-Based Systems

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2016 .

Solving the environmental economic dispatch problem with prohibited operating zones in microgrids using NSGA-II and TOPSIS

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2016, SAC.

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..

Adaptive Lossless Entropy Compressors for Tiny IoT Devices

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

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..

Incident Detection by Spatiotemporal Analysis of GPS Data

Eleonora D'Andrea, Francesco Marcelloni, 2016, 2016 IEEE International Conference on Smart Computing (SMARTCOMP).

Computer-aided detection of lung nodules based on decision fusion techniques

Beatrice Lazzerini, Michela Antonelli, Francesco Marcelloni, 2011, Pattern Analysis and Applications.

Using Fuzzy-Logic Based Metrics to Minimize the Side-Effects of Thresholds and Context on Software Development

Francesco Marcelloni, Mehmet Aksit, 1995 .

Spreading fuzzy random forests with MapReduce

Francesco Marcelloni, Alessio Bechini, Adriano Donato De Matteis, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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

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

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

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

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

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

NEW OPERATORS FOR CONTEXT ADAPTATION OF MAMDANI FUZZY SYSTEMS

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2006 .

A General Framework for Food Traceability

Beatrice Lazzerini, Francesco Marcelloni, Mario G. C. A. Cimino, 2005 .

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

Beatrice Lazzerini, Francesco Marcelloni, Leonardo Reyneri, 2000 .

Performing automatic exams

Beatrice Lazzerini, Francesco Marcelloni, Graziano Frosini, 1998, Comput. Educ..

Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

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).

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..

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..

Path Clustering Based on a Novel Dissimilarity Function for Ride-Sharing Recommenders

Eleonora D'Andrea, Beatrice Lazzerini, Francesco Marcelloni, 2016, 2016 IEEE International Conference on Smart Computing (SMARTCOMP).

Fuzzy Clustering Based on Dissimilarity Relations Extracted from Data

Beatrice Lazzerini, Francesco Marcelloni, Mario G. C. A. Cimino, 2007 .

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

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

A fuzzy model for the retrieval of the sea water optically active constituents concentration from MERIS data

Marco Diani, Giovanni Corsini, Beatrice Lazzerini, 2002, IEEE International Geoscience and Remote Sensing Symposium.

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.

Journal Track Chairs' Welcome & Organization

Francesco Marcelloni, Rudi Studer, Claudia d'Amato, 2018, WWW.

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..

Multi-class boosting with fuzzy decision trees

Francesco Marcelloni, Alessio Bechini, Marco Barsacchi, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Theoretical and Practical Analyses in Metagenomic Sequence Classification

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

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 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 Fuzzy Density-based Clustering Algorithm for Streaming Data

Francesco Marcelloni, Alessio Bechini, Alessandro Renda, 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

Francesco Marcelloni, F. Marcelloni, 2003, 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..

A multi-agent system for enabling collaborative situation awareness via position-based stigmergy and neuro-fuzzy learning

Giovanna Castellano, Anna Maria Fanelli, Beatrice Lazzerini, 2014, Neurocomputing.

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.

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

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

An electronic nose for odour annoyance assessment

Beatrice Lazzerini, Francesco Marcelloni, Giovanni Pioggia, 2001 .

Genetic interval neural networks for granular data regression

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

A linguistic fuzzy recogniser of off-line handwritten characters

Beatrice Lazzerini, Francesco Marcelloni, 2000, Pattern Recognit. Lett..

Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems

Beatrice Lazzerini, Michela Antonelli, Pietro Ducange, 2010, International Conference on Fuzzy Systems.

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.

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

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

Situation-Aware Mobile Service Recommendation with Fuzzy Logic and Semantic Web

Beatrice Lazzerini, Francesco Marcelloni, Mario G. C. A. Cimino, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Fast Multiobjective Genetic Rule Learning Using an Efficient Method for Takagi-Sugeno Fuzzy Systems Identification

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

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

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

Olfactory signal classification based on evolutionary computation

Dumitru Dumitrescu, Beatrice Lazzerini, Francesco Marcelloni, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

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

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

Generation of Optimized Assembly Sequences Using Genetic Algorithms

Beatrice Lazzerini, Francesco Marcelloni, Franco Failli, 1999 .

Processing alarms with a rule-based expert system

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

Beatrix: A self-learning system for off-line recognition of handwritten texts

Leonardo Maria Reyneri, Beatrice Lazzerini, Francesco Marcelloni, 1997, Pattern Recognit. Lett..

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).

Improving reusability in object-oriented programming: The Molecule

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

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).

A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems

Beatrice Lazzerini, Michela Antonelli, Pietro Ducange, 2009, HAIS.

A Distributed Fuzzy Associative Classifier for Big Data

Pietro Ducange, Francesco Marcelloni, Alessio Bechini, 2018, IEEE Transactions on Cybernetics.

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

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

An efficient multi-objective evolutionary fuzzy system for regression problems

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

A modified fuzzy C-means algorithm for feature selection

Beatrice Lazzerini, Francesco Marcelloni, G. Frosini, 2000, PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500).

An adaptive rule-based approach for managing situation-awareness

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

uzzy Classification Based System for andwritten Character Recognition

Beatrice Lazzerini, Francesco Marcelloni, A. Maggiore, 1998 .

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

Beatrice Lazzerini, Francesco Marcelloni, Leonardo Reyneri, 1998 .

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..

Combining Fuzzy Logic and Semantic Web to Enable Situation-Awareness in Service Recommendation

Umberto Straccia, Francesco Marcelloni, Mario G. C. A. Cimino, 2010, DEXA.

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

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

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).

Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans

Beatrice Lazzerini, Michela Antonelli, Francesco Marcelloni, 2007, KES.

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

Giovanni Corsini, Beatrice Lazzerini, Francesco Marcelloni, 2004 .

An analysis of boosted ensembles of binary fuzzy decision trees

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

A new approach to modularization of large object-oriented systems

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

An Artificial Olfactory System for Quality and Geographical Discrimination of Olive Oils

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2003, KES.

An intelligent system for electrical energy management in buildings

Giuseppe Anastasi, Francesco Marcelloni, Francesco Corucci, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

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..

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..

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).

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..

Morphogenetic approach to system identification

Germano Resconi, Pietro Ducange, Francesco Marcelloni, 2009, Int. J. Intell. Syst..

A collaborative situation-aware scheme for mobile service recommendation

Giovanna Castellano, Anna Maria Fanelli, Beatrice Lazzerini, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

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..

A General Framework for Food Traceability

Beatrice Lazzerini, Francesco Marcelloni, Mario G. C. A. Cimino, 2005, 2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops).

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.

FROS: a fuzzy logic-based recogniser of olfactory signals

Beatrice Lazzerini, Francesco Marcelloni, A. Maggiore, 2001, Pattern Recognit..

A Hierarchical Fuzzy Clustering-based System to Create User Profiles

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

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

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

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

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

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.

Database and Expert Systems Applications

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

Detection of traffic congestion and incidents from GPS trace analysis

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

Clustering based on a dissimilarity measure derived from data

Beatrice Lazzerini, Francesco Marcelloni, Paolo Corsini, 2002 .

Multi-objective Evolutionary Fuzzy Systems

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

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.

A fuzzy approach to 2D-shape recognition

Beatrice Lazzerini, Francesco Marcelloni, 2001, IEEE Trans. Fuzzy Syst..

Combining supervised and unsupervised learning for data clustering

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

Enabling Compression in Tiny Wireless Sensor Nodes

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

A tool for building expert systems which carry out academic exams

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

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

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

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.

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).

A Simple Algorithm for Data Compression in Wireless Sensor Networks

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

A new fuzzy relational clustering algorithm based on the fuzzy C-means algorithm

Beatrice Lazzerini, Francesco Marcelloni, Paolo Corsini, 2005, Soft Comput..

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

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

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..

Developing object-oriented framworks using domain models

Bedir Tekinerdogan, Francesco Marcelloni, Mehmet Aksit, 2000, CSUR.

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).

A MapReduce solution for associative classification of big data

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

Integration of Web-Scraped Data in CPM Tools: The Case of Project Sibilla

Beatrice Lazzerini, Francesco Marcelloni, Alessio Bechini, 2021 .

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

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

Enabling Traceability in the Wine Supply Chain

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

A survey of approaches to context adaptation of fuzzy systems

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2007 .

Special issue on sensing and mobility in pervasive computing

Daniele Puccinelli, Francesco Marcelloni, Alessio Vecchio, 2014, J. Ambient Intell. Humaniz. Comput..

A genetic algorithm for generating optimal assembly plans

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

A new approach to combining outputs of multiple classifiers

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

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.

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 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.

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..

Identification of Takagi-Sugeno Fuzzy Systems Based on Multi-objective Genetic Algorithms

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2005, WILF.

A Multi-Classifier System for Pulmonary Nodule Classification

Beatrice Lazzerini, Michela Antonelli, Francesco Marcelloni, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

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

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

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.

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.

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

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

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

Michele Dassisti, Pietro Ducange, Francesco Marcelloni, 2017 .

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).

Solving the node localization problem in WSNs by a two-objective evolutionary algorithm and local descent

Francesco Marcelloni, Roberto López-Valcarce, Massimo Vecchio, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Automated Detection of Pulmonary Nodules in CT Scans

Beatrice Lazzerini, Michela Antonelli, Francesco Marcelloni, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

A study on the application of different two-objective evolutionary algorithms to the node localization problem in wireless sensor networks

Francesco Marcelloni, Roberto López-Valcarce, Massimo Vecchio, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

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).

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).

Automating Software Development Process using Fuzzy Logic

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

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

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

Classification of odour samples from multisensor array using new linguistic fuzzy method

Beatrice Lazzerini, Francesco Marcelloni, A. Maggiore, 1998 .

An algorithm based on finite state machines with fuzzy transitions for non-intrusive load disaggregation

Pietro Ducange, Francesco Marcelloni, D. Marinari, 2012, 2012 Sustainable Internet and ICT for Sustainability (SustainIT).

Improving object-oriented methods by using fuzzy logic

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

Electronic nose based on linguistic fuzzy classification

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

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.

Exploiting FuzzyOrdering Relations toPreserve Interpretability in Context Adaptation ofFuzzySystems

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2007 .

Odour Classification based on Computational Intelligence Techniques

Francesco Marcelloni, Trevor P. Martin, Georgios Tselentis, 2002, Advances in Computational Intelligence and Learning.

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.

Active Software Artifacts

Bedir Tekinerdogan, Francesco Marcelloni, Pim van den Broek, 1997, ECOOP Workshops.

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

Alessio Botta, Beatrice Lazzerini, Pietro Ducange, 2008 .

Special Issue on Advances in Intelligent Systems

Francesco Marcelloni, Vincenzo Loia, José Manuel Benítez, 2010, Int. J. Hybrid Intell. Syst..

Reasonable conclusions in fuzzy reasoning

Beatrice Lazzerini, Francesco Marcelloni, 1996, Proceedings Eighth IEEE International Conference on Tools with Artificial Intelligence.

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..

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).

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.

Fuzzy hierarchical approach to odor classification

Beatrice Lazzerini, Francesco Marcelloni, Dan Dumitrescu, 1999, Other Conferences.

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

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

A Situation-Aware Resource Recommender Based on Fuzzy and Semantic Web Rules

Beatrice Lazzerini, Francesco Marcelloni, Mario G. C. A. Cimino, 2010, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Leaving inconsistency using fuzzy logic

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

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.

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..

Fuzzy classification of handwritten characters

Beatrice Lazzerini, Francesco Marcelloni, 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

Segmentation and reconstruction of the lung volume in CT images

Beatrice Lazzerini, Michela Antonelli, Francesco Marcelloni, 2005, SAC '05.

Feature Selection Based on Fuzzy Mutual Information

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2013, WILF.

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..

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

Beatrice Lazzerini, Pietro Ducange, Francesco Marcelloni, 2005 .

A Fuzzy Hierarchical Classification System for Olfactory Signals

Dumitru Dumitrescu, Beatrice Lazzerini, Francesco Marcelloni, 2000, Pattern Analysis & Applications.

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.

Granular Data Regression with Neural Networks

Witold Pedrycz, Beatrice Lazzerini, Francesco Marcelloni, 2011, WILF.

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

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2010 .

A fuzzy classification based system for handwritten character recognition

Beatrice Lazzerini, Francesco Marcelloni, Graziano Frosini, 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).

Integrating service-oriented technologies to support business processes

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2005, Seventh IEEE International Conference on E-Commerce Technology Workshops.

Incremental Learning of Fuzzy Decision Trees for Streaming Data Classification

Pietro Ducange, Francesco Marcelloni, Riccardo Pecori, 2019, EUSFLAT Conf..

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

José A. Gámez, Francesco Marcelloni, Javier Cózar, 2018, Journal of Big Data.

Deferring elimination of design alternatives in object‐oriented methods

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

Applying Fuzzy Logic Techniques in Object-Oriented Software Development

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

Neural network-based calibration of positron emission tomograph detector modules

Beatrice Lazzerini, Francesco Marcelloni, Giovanni Marola, 2004, ESANN.

Monitoring the public opinion about the vaccination topic from tweets analysis

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

Smart Profiling of City Areas Based on Web Data

Eleonora D'Andrea, Pietro Ducange, Francesco Marcelloni, 2018, 2018 IEEE International Conference on Smart Computing (SMARTCOMP).

K-NN algorithm based on neural similarity

Beatrice Lazzerini, Francesco Marcelloni, 2002, Proceedings 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS 2002).

Exploiting Online Newspaper Articles Metadata for Profiling City Areas

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

SNIFFER: an electronic nose

Beatrice Lazzerini, Francesco Marcelloni, Giovanni Pioggia, 1999, 1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410).

Designing Software Architectures As a Composition of Specializations of Knowledge Domains

Bedir Tekinerdogan, Francesco Marcelloni, Lodewijk Bergmans, 1995 .

Assessing Accuracy of Ensemble Learning for Facial Expression Recognition with CNNs

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

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

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

A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Guest Editors' Introduction

Francisco Herrera, Francesco Marcelloni, Vincenzo Loia, 2008, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Delaying Inconsistency Resolution Using Fuzzy Logic

Francesco Marcelloni, 2001 .

A novel approach for internet traffic classification based on multi-objective evolutionary fuzzy classifiers

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

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

Pietro Ducange, Francesco Marcelloni, Michela Fazzolari, 2020, Journal of Big Data.

Exploiting Fuzzy Ordering Relations to Preserve Interpretability in Context Adaptation of Fuzzy Systems

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2007, 2007 IEEE International Fuzzy Systems Conference.

Using BPMN and Tracing for Rapid Business Process Prototyping Environments

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

A survey on fake news and rumour detection techniques

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

Improving performance of MISO fuzzy systems

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

A WSN-based testbed for energy efficiency in buildings

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

A new linguistic fuzzy approach to recognition of olfactory signals

Beatrice Lazzerini, Francesco Marcelloni, Adriana Maggiore, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Lung Nodule Detection in CT Scans

Beatrice Lazzerini, Michela Antonelli, Francesco Marcelloni, 2004, International Conference on Computational Intelligence.

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..

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

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

Reducing quantization error and contextual bias problems in software development processes by applying fuzzy logic

Francesco Marcelloni, Mehmet Aksit, 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

Improving Wi-Fi Based Localization Using External Constraints

Francesco Marcelloni, Alessio Vecchio, Gloria Ciavarrini, 2015, 2015 9th International Conference on Next Generation Mobile Applications, Services and Technologies.

Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems

Beatrice Lazzerini, Michela Antonelli, Pietro Ducange, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, 2012, 2012 IEEE International Conference 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..

Neuro-fuzzy off-line recognition of handwritten sentences

Leonardo Maria Reyneri, Beatrice Lazzerini, Francesco Marcelloni, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

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.

A mobile application leveraging QR-codes to support efficient urban parking

Francesco Marcelloni, Alessio Bechini, Armando Segatori, 2013, 2013 Sustainable Internet and ICT for Sustainability (SustainIT).

Software Artifacts for Product Lines

Bedir Tekinerdogan, Francesco Marcelloni, Lodewijk Bergmans, 1997, OOPSLA 1997.

Automatic extraction of fuzzy rules from MERIS data to identify sea water optically active constituent concentration

Marco Diani, Giovanni Corsini, Beatrice Lazzerini, 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

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.

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

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

Special Issue on Intelligent Systems Design and Applications (ISDA 2011): Introduction

Francesco Marcelloni, C Romero, Kj Cios, 2013 .

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.

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.

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.

On the Noise Distance in Robust Fuzzy C-Means

Beatrice Lazzerini, Francesco Marcelloni, Mario G. C. A. Cimino, 2004, International Conference on Computational Intelligence.

Real-Time Detection of Traffic From Twitter Stream Analysis

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

On Distributed Fuzzy Decision Trees for Big Data

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

Reducing computation overhead in MISO fuzzy systems

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

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

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

Mining the Stream of News for City Areas Profiling: a Case Study for the City of Rome

Pietro Ducange, Francesco Marcelloni, Alessio Bechini, 2021, 2021 IEEE International Conference on Smart Computing (SMARTCOMP).

Implicitly distributed fuzzy random forests

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

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).

Stance Analysis of Twitter Users: The Case of the Vaccination Topic in Italy

Pietro Ducange, Francesco Marcelloni, Alessio Bechini, 2021, IEEE Intelligent Systems.

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 .

Fuzzy Hoeffding Decision Tree for Data Stream Classification

Pietro Ducange, Francesco Marcelloni, Riccardo Pecori, 2021, Int. J. Comput. Intell. Syst..

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

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

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

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

Classification based on neural similarity

Beatrice Lazzerini, Francesco Marcelloni, 2002 .

Context adaptation of mamdani fuzzy rule based systems

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

Context adaptation of mamdani fuzzy rule based systems

Alessio Botta, Beatrice Lazzerini, Francesco Marcelloni, 2008 .

Counteracting drift of olfactory sensors by appropriately selecting features

Beatrice Lazzerini, Francesco Marcelloni, 2000 .

Feature Selection based on Similarity

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

Calibration of positron emission tomograph detector modules using new neural method

Beatrice Lazzerini, Francesco Marcelloni, G. Marola, 2004 .