| Real-time detection of traffic from twitter stream analysis E D'Andrea, P Ducange, B Lazzerini, F Marcelloni IEEE transactions on intelligent transportation systems 16 (4), 2269-2283, 2015 | 185 | 2015 |
| A multiobjective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy-rule-based systems R Alcalá, P Ducange, F Herrera, B Lazzerini, F Marcelloni IEEE Transactions on fuzzy systems 17 (5), 1106-1122, 2009 | 171 | 2009 |
| A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems M Cococcioni, P Ducange, B Lazzerini, F Marcelloni Soft Computing 11 (11), 1013-1031, 2007 | 116 | 2007 |
| Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets P Ducange, B Lazzerini, F Marcelloni Soft Computing 14 (7), 713-728, 2010 | 100 | 2010 |
| Multi-objective evolutionary design of granular rule-based classifiers M Antonelli, P Ducange, B Lazzerini, F Marcelloni Granular Computing 1 (1), 37-58, 2016 | 77 | 2016 |
| Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework M Antonelli, P Ducange, B Lazzerini, F Marcelloni International Journal of Approximate Reasoning 50 (7), 1066-1080, 2009 | 69 | 2009 |
| An intelligent system for detecting faults in photovoltaic fields P Ducange, M Fazzolari, B Lazzerini, F Marcelloni 2011 11th International Conference on Intelligent Systems Design and …, 2011 | 67 | 2011 |
| Genetic training instance selection in multiobjective evolutionary fuzzy systems: A coevolutionary approach M Antonelli, P Ducange, F Marcelloni IEEE Transactions on fuzzy systems 20 (2), 276-290, 2011 | 63 | 2011 |
| Urban and social sensing for sustainable mobility in smart cities G Anastasi, M Antonelli, A Bechini, S Brienza, E D'Andrea, ... 2013 Sustainable Internet and ICT for Sustainability (SustainIT), 1-4, 2013 | 55 | 2013 |
| Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity M Antonelli, P Ducange, B Lazzerini, F Marcelloni Soft Computing 15 (12), 2335-2354, 2011 | 50 | 2011 |
| Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems M Antonelli, P Ducange, B Lazzerini, F Marcelloni Evolutionary Intelligence 2 (1-2), 21, 2009 | 46 | 2009 |
| A novel approach for internet traffic classification based on multi-objective evolutionary fuzzy classifiers P Ducange, G Mannarà, F Marcelloni, R Pecori, M Vecchio 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 42 | 2017 |
| A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers M Antonelli, P Ducange, F Marcelloni Information Sciences 283, 36-54, 2014 | 42 | 2014 |
| A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring P Ducange, F Marcelloni, M Antonelli IEEE Transactions on Industrial Informatics 10 (2), 1185 - 1197, 2014 | 41 | 2014 |
| Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index M Antonelli, P Ducange, B Lazzerini, F Marcelloni Soft Computing 15 (10), 1981-1998, 2011 | 30 | 2011 |
| A glimpse on big data analytics in the framework of marketing strategies P Ducange, R Pecori, P Mezzina Soft Computing 22 (1), 325-342, 2018 | 28 | 2018 |
| An efficient multi-objective evolutionary fuzzy system for regression problems M Antonelli, P Ducange, F Marcelloni International Journal of Approximate Reasoning 54 (9), 1434-1451, 2013 | 27 | 2013 |
| A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data A Ferranti, F Marcelloni, A Segatori, M Antonelli, P Ducange Information Sciences 415, 319-340, 2017 | 23 | 2017 |
| A novel associative classification model based on a fuzzy frequent pattern mining algorithm M Antonelli, P Ducange, F Marcelloni, A Segatori Expert Systems with Applications 42 (4), 2086-2097, 2015 | 22 | 2015 |
| An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets M Antonelli, P Ducange, F Marcelloni Neurocomputing 146, 125-136, 2014 | 21 | 2014 |
Francesco MarcelloniProfessor of Business Intelligence, Dipartimento di Ingegneria dell'Informazione, University of PisaEmail verificata su unipi.it