Andrea G. B. Tettamanzi
Andrea G. B. Tettamanzi
Professor of Computer Science, Université Côte d'Azur
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
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
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
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
DW Pearson, NC Steele, RF Albrecht, A Loraschi, M Tomassini, ...
Artificial Neural Nets and Genetic Algorithms: Proceedings of the …, 1995
Genetic programming for financial time series prediction
M Santini, A Tettamanzi
European conference on genetic programming, 361-370, 2001
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: International …, 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, 186-197, 2015
A fuzzy system for concept-level sentiment analysis
M Dragoni, AGB Tettamanzi, C da Costa Pereira
Semantic Web Evaluation Challenge: SemWebEval 2014 at ESWC 2014, Anissaras …, 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 Sánchez, AGB Tettamanzi
Capturing intelligence 1, 135-159, 2006
Modeling selection intensity for toroidal cellular evolutionary algorithms
M Giacobini, E Alba, A Tettamanzi, M Tomassini
Genetic and Evolutionary Computation–GECCO 2004: Genetic and Evolutionary …, 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, 176-194, 2014
Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases
C d'Amato, S Staab, AGB Tettamanzi, TD Minh, F Gandon
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 333-338, 2016
Some complexity results on fuzzy description logics
PA Bonatti, AGB Tettamanzi
International Workshop on Fuzzy Logic and Applications, 19-24, 2003
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
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