Beatrice Lazzerini
Beatrice Lazzerini
Professor of Computer Engineering, University of Pisa
Verified email at
Cited by
Cited by
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
Evolutionary computation
D Dumitrescu, B Lazzerini, LC Jain, A Dumitrescu
CRC press, 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
A genetic algorithm for generating optimal assembly plans
B Lazzerini, F Marcelloni
Artificial Intelligence in Engineering 14 (4), 319-329, 2000
Fuzzy Sets & their Application to Clustering & Training
B Lazzerini, LC Jain, D Dumitrescu
CRC Press, 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
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
Generation of optimized assembly sequences using genetic algorithms
G Dini, F Failli, B Lazzerini, F Marcelloni
CIRP Annals 48 (1), 17-20, 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
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
Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets
P Ducange, B Lazzerini, F Marcelloni
Soft Computing 14, 713-728, 2010
Multi-objective evolutionary design of granular rule-based classifiers
M Antonelli, P Ducange, B Lazzerini, F Marcelloni
Granular Computing 1, 37-58, 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
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
An electronic nose for odour annoyance assessment
F Di Francesco, B Lazzerini, F Marcelloni, G Pioggia
Atmospheric Environment 35 (7), 1225-1234, 2001
Analyzing risk impact factors using extended fuzzy cognitive maps
B Lazzerini, L Mkrtchyan
IEEE Systems Journal 5 (2), 288-297, 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
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
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
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
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