Francesco Marcelloni
Francesco Marcelloni
Professor of Business Intelligence, Dipartimento di Ingegneria dell'Informazione, University of Pisa
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Cited by
Cited by
A simple algorithm for data compression in wireless sensor networks
F Marcelloni, M Vecchio
IEEE communications letters 12 (6), 411-413, 2008
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
Patterns and technologies for enabling supply chain traceability through collaborative e-business
A Bechini, MGCA Cimino, F Marcelloni, A Tomasi
Information and Software Technology 50 (4), 342-359, 2008
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
An efficient lossless compression algorithm for tiny nodes of monitoring wireless sensor networks
F Marcelloni, M Vecchio
the computer journal 52 (8), 969-987, 2009
Generation of optimized assembly sequences using genetic algorithms
G Dini, F Failli, B Lazzerini, F Marcelloni
CIRP Annals 48 (1), 17-20, 1999
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
Enabling energy-efficient and lossy-aware data compression in wireless sensor networks by multi-objective evolutionary optimization
F Marcelloni, M Vecchio
Information Sciences 180 (10), 1924-1941, 2010
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 (5), 437-449, 2009
Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets
P Ducange, B Lazzerini, F Marcelloni
Soft Computing 14 (7), 713-728, 2010
A MapReduce solution for associative classification of big data
A Bechini, F Marcelloni, A Segatori
Information Sciences 332, 33-55, 2016
Detection of traffic congestion and incidents from GPS trace analysis
E D'Andrea, F Marcelloni
Expert Systems with Applications 73, 43-56, 2017
Multi-objective evolutionary design of granular rule-based classifiers
M Antonelli, P Ducange, B Lazzerini, F Marcelloni
Granular Computing 1 (1), 37-58, 2016
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
An electronic nose for odour annoyance assessment
F Di Francesco, B Lazzerini, F Marcelloni, G Pioggia
Atmospheric Environment 35 (7), 1225-1234, 2001
Reducing power consumption in wireless sensor networks using a novel approach to data aggregation
S Croce, F Marcelloni, M Vecchio
The Computer Journal 51 (2), 227-239, 2008
A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks
M Vecchio, R López-Valcarce, F Marcelloni
Applied Soft Computing 12 (7), 1891-1901, 2012
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
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
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