2008 | ||
---|---|---|
28 | EE | João Roberto Bertini Jr., Maria do Carmo Nicoletti: MBabCoNN - A Multiclass Version of a Constructive Neural Network Algorithm Based on Linear Separability and Convex Hull. ICANN (2) 2008: 723-733 |
27 | EE | Antonio C. L. Horta, Teresa C. Zangirolami, Maria do Carmo Nicoletti, Luciana Montera, Talita S. Carmo, Viviane M. Gonçalves: An Empirical Investigation of the Use of a Neural Network Committee for Identifying the Streptococcus PneumoniaeGrowth Phases in Batch Cultivations. IEA/AIE 2008: 215-224 |
26 | EE | Luciana Montera, Antonio C. L. Horta, Teresa C. Zangirolami, Maria do Carmo Nicoletti, Talita S. Carmo, Viviane M. Gonçalves: A Heuristic Search for Optimal Parameter Values of Three Biokinetic Growth Models for Describing Batch Cultivations of Streptococcus Pneumoniaein Bioreactors. IEA/AIE 2008: 359-368 |
25 | EE | Luciana Montera, Maria do Carmo Nicoletti, Flavio Henrique da Silva, Pablo Moscato: An effective mutation-based measure for evaluating the suitability of parental sequences to undergo DNA shuffling experiments. IEEE Congress on Evolutionary Computation 2008: 765-772 |
24 | EE | Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Gláucia M. Bressan: BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers. Int. J. Hybrid Intell. Syst. 5(2): 83-96 (2008) |
23 | Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti: Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches. J. UCS 14(15): 2456-2470 (2008) | |
2007 | ||
22 | EE | Diego P. Vivencio, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão: Feature-weighted k-Nearest Neighbor Classifier. FOCI 2007: 481-486 |
21 | EE | Estevam R. Hruschka Jr., Heloisa de Arruda Camargo, Marcos Evandro Cintra, Maria do Carmo Nicoletti: BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base. FUZZ-IEEE 2007: 1-6 |
20 | EE | Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Gláucia M. Bressan: Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules. HIS 2007: 192-197 |
19 | EE | Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti: Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search. IEEE Congress on Evolutionary Computation 2007: 1444-1449 |
18 | EE | Flávia O. Santos de Sá Lisboa, Maria do Carmo Nicoletti, Arthur Ramer: A version of the NGE model suitable for fuzzy domains. Journal of Intelligent and Fuzzy Systems 18(1): 1-17 (2007) |
17 | EE | Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.: Transferring neural network based knowledge into an exemplar-based learner. Neural Computing and Applications 16(3): 257-265 (2007) |
2006 | ||
16 | EE | João Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr., Arthur Ramer: Two Variants of the Constructive Neural Network Tiling Algorithm. HIS 2006: 49 |
15 | EE | Lucas Baggio Figueira, Luiz Garcia Palma Neto, João Roberto Bertini Jr., Maria do Carmo Nicoletti: Using Constructive Neural Networks for Detecting Central Vestibular System Lesion. Applied Artificial Intelligence 20(7): 609-638 (2006) |
2005 | ||
14 | EE | Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.: Initializing an Exemplar Based Learning Process from a RuleNet Network. HIS 2005: 125-130 |
13 | EE | Joao Marcos Vieira, Maria do Carmo Nicoletti, Marina Teresa Pires Vieira: A Collaborative Approach to Knowledge Extraction from Rough Relational Databases. HIS 2005: 17-22 |
12 | EE | Daniel Monegatto Santoro, Maria do Carmo Nicoletti: Investigating a Wrapper Approach for Selecting Features Using Constructive Neural Networks. ITCC (2) 2005: 77-82 |
2004 | ||
11 | EE | Pablo Alberto Dalbem de Castro, Daniel Monegatto Santoro, Heloisa de Arruda Camargo, Maria do Carmo Nicoletti: Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection. HIS 2004: 180-185 |
10 | EE | Lucas Baggio Figueira, Maria do Carmo Nicoletti: Choosing the Initial Set of Exemplars when Learning with an NGE-based System. ITCC (2) 2004: 193-197 |
9 | EE | Lucas Baggio Figueira, Maria do Carmo Nicoletti: Evaluating the effects of distance metrics on a NGE-based system. SMC (4) 2004: 3395-3401 |
2003 | ||
8 | Luiz Garcia Palma Neto, Lucas Baggio Figueira, Maria do Carmo Nicoletti: Using a Family of Perceptron-Based Neural Networks for Detecting Central Vestibular System Problems. ICMLA 2003: 193-199 | |
2002 | ||
7 | Vanessa Cristina Castilho, Maria do Carmo Nicoletti, Mounir Khalil El Debs: Using Genetic Algorithms for Minimizing the Production Costs of Hollow Core Slabs. HIS 2002: 796-805 | |
6 | Maria do Carmo Nicoletti, Jane Brennan: Learning Spatial Relations Using an Inductive Logic Programming System. Computers and Artificial Intelligence 21(1): (2002) | |
2001 | ||
5 | Flavia O. S. Sa Lisboa, Maria do Carmo Nicoletti, Arthur Ramer: A Fuzzy Classifier System Based on Generalized Exemplars. FUZZ-IEEE 2001: 73-76 | |
4 | Maria do Carmo Nicoletti, Joaquim Quinteiro Uchôa: A Family of Algorithms for Implementing the Main Concepts of the Rough Set Theory. HIS 2001: 583-595 | |
2000 | ||
3 | Maria do Carmo Nicoletti, Jane Brennan: Learning to Transfer Knowledge between Reference Systems. FLAIRS Conference 2000: 276-280 | |
1998 | ||
2 | EE | Maria do Carmo Nicoletti, Flavia Oliveira Santos: A Constructive Fuzzy NGE Learning System. Discovery Science 1998: 427-428 |
1995 | ||
1 | Maria do Carmo Nicoletti, Maria Carolina Monard: Constructing the Extensional Representation of an Intentional Domain Theory in Inductive Logic Programming. SBIA 1995: 171-180 |