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 | 428 | 2015 |
Evolutionary computation D Dumitrescu, B Lazzerini, LC Jain, A Dumitrescu CRC press, 2000 | 418 | 2000 |
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 | 200 | 2009 |
A genetic algorithm for generating optimal assembly plans B Lazzerini, F Marcelloni Artificial Intelligence in Engineering 14 (4), 319-329, 2000 | 191 | 2000 |
Fuzzy Sets & their Application to Clustering & Training B Lazzerini, LC Jain, D Dumitrescu CRC Press, 2000 | 185 | 2000 |
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 | 144 | 2011 |
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, 1013-1031, 2007 | 141 | 2007 |
Generation of optimized assembly sequences using genetic algorithms G Dini, F Failli, B Lazzerini, F Marcelloni CIRP Annals 48 (1), 17-20, 1999 | 139 | 1999 |
Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index A Botta, B Lazzerini, F Marcelloni, DC Stefanescu Soft Computing 13, 437-449, 2009 | 126 | 2009 |
EMOGA: A hybrid genetic algorithm with extremal optimization core for multiobjective disassembly line balancing F Pistolesi, B Lazzerini, M Dalle Mura, G Dini IEEE Transactions on Industrial Informatics 14 (3), 1089-1098, 2017 | 118 | 2017 |
Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets P Ducange, B Lazzerini, F Marcelloni Soft Computing 14, 713-728, 2010 | 116 | 2010 |
Multi-objective evolutionary design of granular rule-based classifiers M Antonelli, P Ducange, B Lazzerini, F Marcelloni Granular Computing 1, 37-58, 2016 | 108 | 2016 |
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 | 106 | 2013 |
24-hour-ahead forecasting of energy production in solar PV systems M Cococcioni, E D'Andrea, B Lazzerini 2011 11th International Conference on Intelligent Systems Design and …, 2011 | 100 | 2011 |
An electronic nose for odour annoyance assessment F Di Francesco, B Lazzerini, F Marcelloni, G Pioggia Atmospheric Environment 35 (7), 1225-1234, 2001 | 99 | 2001 |
Analyzing risk impact factors using extended fuzzy cognitive maps B Lazzerini, L Mkrtchyan IEEE Systems Journal 5 (2), 288-297, 2011 | 94 | 2011 |
Robust diagnosis of rolling element bearings based on classification techniques M Cococcioni, B Lazzerini, SL Volpi IEEE Transactions on Industrial Informatics 9 (4), 2256-2263, 2012 | 90 | 2012 |
An artificial neural network approach to laser-induced breakdown spectroscopy quantitative analysis E D’Andrea, S Pagnotta, E Grifoni, G Lorenzetti, S Legnaioli, V Palleschi, ... Spectrochimica Acta Part B: Atomic Spectroscopy 99, 52-58, 2014 | 87 | 2014 |
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 | 84 | 2009 |
A hybrid calibration-free/artificial neural networks approach to the quantitative analysis of LIBS spectra E D’Andrea, S Pagnotta, E Grifoni, S Legnaioli, G Lorenzetti, V Palleschi, ... Applied Physics B 118, 353-360, 2015 | 73 | 2015 |