| 2012 | ||
|---|---|---|
| j8 | José F. Fontanari, Marie-Claude Bonniot-Cabanac, Michel Cabanac, Leonid I. Perlovsky: A structural model of emotions of cognitive dissonances. Neural Networks 32: 57-64 (2012) | |
| i8 | José F. Fontanari, Marie-Claude Bonniot-Cabanac, Michel Cabanac, Leonid I. Perlovsky: A structural model of emotions of cognitive dissonances. CoRR abs/1202.6388 (2012) | |
| i7 | Sergey Petrov, José F. Fontanari, Leonid I. Perlovsky: Categories of Emotion names in Web retrieved texts. CoRR abs/1203.2293 (2012) | |
| i6 | Paulo F. C. Tilles, José F. Fontanari: Minimal model of associative learning for cross-situational lexicon acquisition. CoRR abs/1204.1564 (2012) | |
| i5 | Lucas R. Peres, José F. Fontanari: Revisiting the effect of external fields in Axelrod's model of social dynamics. CoRR abs/1205.3352 (2012) | |
| i4 | Paulo F. C. Tilles, José F. Fontanari: Critical behavior in a cross-situational lexicon learning scenario. CoRR abs/1206.2802 (2012) | |
| 2011 | ||
| c9 | José F. Fontanari, Leonid I. Perlovsky, Marie-Claude Bonniot-Cabanac, Michel Cabanac: Emotions of cognitive dissonance. IJCNN 2011: 95-102 | |
| i3 | Lucas R. Peres, José F. Fontanari: The media effect in Axelrod's model explained. CoRR abs/1106.0281 (2011) | |
| 2010 | ||
| c8 | José F. Fontanari, Leonid I. Perlovsky: A computational model of adults' performance in naming objects using cross-situational learning. IJCNN 2010: 1-8 | |
| i2 | José F. Fontanari: Social interaction as a heuristic for combinatorial optimization problems. CoRR abs/1009.1114 (2010) | |
| 2009 | ||
| j7 | José F. Fontanari, Vadim Tikhanoff, Angelo Cangelosi, Roman Ilin, Leonid I. Perlovsky: Cross-situational learning of object-word mapping using Neural Modeling Fields. Neural Networks 22(5-6): 579-585 (2009) | |
| j6 | Lauro A. Barbosa, José F. Fontanari: Culture-area relation in Axelrod's model for culture dissemination. Theory in Biosciences 128(4): 205-210 (2009) | |
| c7 | José F. Fontanari, Vadim Tikhanoff, Angelo Cangelosi, Leonid I. Perlovsky: A cross-situational algorithm for learning a lexicon using Neural modeling fields. IJCNN 2009: 869-876 | |
| i1 | José F. Fontanari, Angelo Cangelosi: Lexicon acquisition algorithms and random occupancy problems. CoRR abs/0901.4012 (2009) | |
| 2008 | ||
| j5 | José F. Fontanari, Leonid I. Perlovsky: How language can help discrimination in the Neural Modelling Fields framework. Neural Networks 21(2-3): 250-256 (2008) | |
| j4 | Emmanuel Tannenbaum, José F. Fontanari: A quasispecies approach to the evolution of sexual replication in unicellular organisms. Theory in Biosciences 127(1): 53-65 (2008) | |
| j3 | José F. Fontanari, Leonid I. Perlovsky: A game theoretical approach to the evolution of structured communication codes. Theory in Biosciences 127(3): 205-214 (2008) | |
| c6 | José F. Fontanari, Leonid I. Perlovsky: Object perception in the neural modeling fields framework. IJCNN 2008: 1774-1779 | |
| 2007 | ||
| j2 | José F. Fontanari, Leonid I. Perlovsky: Evolving Compositionality in Evolutionary Language Games. IEEE Trans. Evolutionary Computation 11(6): 758-769 (2007) | |
| c5 | José F. Fontanari, Leonid I. Perlovsky: Language acquisition and category discrimination in the Modeling Field Theory framework. IJCNN 2007: 1180-1185 | |
| 2006 | ||
| c4 | Vadim Tikhanoff, José F. Fontanari, Angelo Cangelosi, Leonid I. Perlovsky: Language and Cognition Integration Through Modeling Field Theory: Category Formation for Symbol Grounding. ICANN (1) 2006: 376-385 | |
| c3 | José F. Fontanari, Leonid I. Perlovsky: Meaning creation and communication in a community of agents. IJCNN 2006: 1583-1588 | |
| c2 | José F. Fontanari, Leonid I. Perlovsky: Categorization and symbol grounding in a complex environment. IJCNN 2006: 4940-4946 | |
| 1995 | ||
| j1 | José F. Fontanari, Luciano da Fontoura Costa: Book Review: "Artificial Neural Network for Speech and Vision", by Richard J. Mammone. Int. J. Neural Syst. 6(1): 107-108 (1995) | |
| 1992 | ||
| c1 | Ronny Meir, José F. Fontanari: On Learning Noisy Threshold Functions with Finite Precision Weights. COLT 1992: 280-286 | |
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