Andrea G. B. Tettamanzi
Andrea G. B. Tettamanzi
Professor of Computer Science, Université Nice Sophia Antipolis
Verified email at - Homepage
Cited by
Cited by
Soft computing: integrating evolutionary, neural, and fuzzy systems
A Tettamanzi, M Tomassini
Springer Science & Business Media, 2013
A genetic approach to portfolio selection
S Arnone, A Loraschi, A Tettamanzi
Neural Network World 3 (6), 597-604, 1993
An evolutionary algorithm for evaluation of emission compliance options in view of the clean air act amendments
D Srinivasan, AGB Tettamanzi
IEEE Transactions on Power Systems 12 (1), 336-341, 1997
Distributed genetic algorithms with an application to portfolio selection problems
A Loraschi, M Tomassini, A Tettamanzi, P Verda
Artificial neural nets and genetic algorithms, 384-387, 1995
Selection intensity in cellular evolutionary algorithms for regular lattices
M Giacobini, M Tomassini, AGB Tettamanzi, E Alba
IEEE Transactions on Evolutionary Computation 9 (5), 489-505, 2005
Genetic programming for financial time series prediction
M Santini, A Tettamanzi
European conference on genetic programming, 361-370, 2001
Changing one's mind: Erase or rewind? possibilistic belief revision with fuzzy argumentation based on trust
C da Costa Pereira, AGB Tettamanzi, S Villata
IJCAI, International Joint Conference on Artificial Intelligence, 2011
Takeover time curves in random and small-world structured populations
M Giacobini, M Tomassini, A Tettamanzi
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005
Generalizing quantification in fuzzy description logics
D Sánchez, AGB Tettamanzi
Computational Intelligence, Theory and Applications, 397-411, 2005
Approximated type-2 fuzzy set operations
H Tahayori, AGB Tettamanzi, GD Antoni
2006 IEEE International Conference on Fuzzy Systems, 1910-1917, 2006
Propagating and aggregating fuzzy polarities for concept-level sentiment analysis
M Dragoni, AGB Tettamanzi, C da Costa Pereira
Cognitive Computation 7 (2), 186-197, 2015
A fuzzy system for concept-level sentiment analysis
M Dragoni, AGB Tettamanzi, C da Costa Pereira
Semantic web evaluation challenge, 21-27, 2014
A conceptual representation of documents and queries for information retrieval systems by using light ontologies
M Dragoni, C da Costa Pereira, AGB Tettamanzi
Expert Systems with applications 39 (12), 10376-10388, 2012
Heuristics-guided evolutionary approach to multiobjective generation scheduling
D Srinivasan, A Tettamanzi
IEE Proceedings-Generation, Transmission and Distribution 143 (6), 553-559, 1996
Fuzzy quantification in fuzzy description logics
D Sanchez, AGB Tettamanzi
Capturing intelligence 1, 135-159, 2006
A memetic algorithm for protein structure prediction in a 3D-lattice HP model
A Bazzoli, AGB Tettamanzi
Workshops on applications of evolutionary computation, 1-10, 2004
Trusting the messenger because of the message: feedback dynamics from information quality to source evaluation
F Paglieri, C Castelfranchi, C da Costa Pereira, R Falcone, A Tettamanzi, ...
Computational and Mathematical Organization Theory 20 (2), 176-194, 2014
Modeling selection intensity for toroidal cellular evolutionary algorithms
M Giacobini, E Alba, A Tettamanzi, M Tomassini
Genetic and Evolutionary Computation Conference, 1138-1149, 2004
Some complexity results on fuzzy description logics
PA Bonatti, AGB Tettamanzi
International Workshop on Fuzzy Logic and Applications, 19-24, 2003
An evolutionary algorithm for solving the school time-tabling problem
C Di Stefano, AGB Tettamanzi
Workshops on Applications of Evolutionary Computation, 452-462, 2001
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