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 |