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Maria do Carmo Nicoletti

Maria C. Nicoletti

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2021
[j31]
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Eduardo Javier Huerta Yero, Nilton Cesar Sacco, Maria do Carmo Nicoletti:
Effect of the Municipal Human Development Index on the results of the 2018 Brazilian presidential elections. Expert Syst. Appl. 168: 114305 (2021)
2020
[j30]
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Maria do Carmo Nicoletti, Anderson Francisco de Oliveira:
Empirical evaluation of five algorithms for the initialization phase of the k-Means algorithm. Int. J. Hybrid Intell. Syst. 16(1): 35-53 (2020)
[j29]
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S. V. Gonçalves, Maria do Carmo Nicoletti:
Using the concept of instance typicality in instance-based learning environments involving nominal attributes. Int. J. Hybrid Intell. Syst. 16(2): 67-79 (2020)
2019
[j28]
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Maria do Carmo Nicoletti, Emilio Carlos Rodrigues:
Flow graphs as data structures for inducing classifiers. Int. J. Hybrid Intell. Syst. 15(2): 77-90 (2019)
[j27]
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João Roberto Bertini Junior, Maria do Carmo Nicoletti:
An iterative boosting-based ensemble for streaming data classification. Inf. Fusion 45: 66-78 (2019)
2017
[j26]
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João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao:
Attribute-based Decision Graphs: A framework for multiclass data classification. Neural Networks 85: 69-84 (2017)
[j25]
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João Roberto Bertini Junior, Maria do Carmo Nicoletti:
Enhancing classification performance using attribute-oriented functionally expanded data. Pattern Recognit. Lett. 89: 39-45 (2017)
2016
[j24]
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João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao:
An embedded imputation method via Attribute-based Decision Graphs. Expert Syst. Appl. 57: 159-177 (2016)
[j23]
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P. E. Pillon, Emerson Carlos Pedrino, Valentin Obac Roda, Maria C. Nicoletti:
A hardware oriented ad-hoc computer-based method for binary structuring element decomposition based on genetic algorithms. Integr. Comput. Aided Eng. 23(4): 369-383 (2016)
[j22]
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João Roberto Bertini Junior, Maria do Carmo Nicoletti:
Enhancing Constructive Neural Network Performance Using Functionally Expanded Input Data. J. Artif. Intell. Soft Comput. Res. 6(2): 119 (2016)
2015
[j21]
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Paulo Cesar Donizeti Paris, Emerson Carlos Pedrino, Maria do Carmo Nicoletti:
Automatic learning of image filters using Cartesian genetic programming. Integr. Comput. Aided Eng. 22(2): 135-151 (2015)
[j20]
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João F. Mari, José Hiroki Saito, Amanda Ferreira Neves, Celina Monteiro da Cruz Lotufo, João-Batista Destro-Filho, Maria do Carmo Nicoletti:
Quantitative Analysis of Rat Dorsal Root Ganglion Neurons Cultured on Microelectrode Arrays Based on Fluorescence Microscopy Image Processing. Int. J. Neural Syst. 25(8): 1550033:1-1550033:23 (2015)
2014
[j19]
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Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Nelson F. F. Ebecken:
The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data. Int. J. Hybrid Intell. Syst. 11(3): 183-195 (2014)
[j18]
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Gustavo Poli, E. Llapa, J. R. Cecatto, José Hiroki Saito, James F. Peters, Sheela Ramanna, Maria do Carmo Nicoletti:
Solar flare detection system based on tolerance near sets in a GPU-CUDA framework. Knowl. Based Syst. 70: 345-360 (2014)
2013
[j17]
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A. S. Ferreira, Maria C. Nicoletti, João Roberto Bertini Jr., Roberto de Campos Giordano:
Methodology for inferring kinetic parameters of diesel oil HDS reactions based on scarce experimental data. Comput. Chem. Eng. 48: 58-73 (2013)
[j16]
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Maria C. Nicoletti, João Roberto Bertini Jr., M. M. Tanizaki, Teresa C. Zangirolami, Viviane M. Gonçalves, Antonio C. L. Horta, Roberto de Campos Giordano:
On-line prediction of the feeding phase in high-cell density cultivation of rE. coli using constructive neural networks. Comput. Methods Programs Biomed. 111(1): 228-248 (2013)
[j15]
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Estevam R. Hruschka Jr., Maisa C. Duarte, Maria C. Nicoletti:
Coupling as Strategy for Reducing Concept-Drift in Never-ending Learning Environments. Fundam. Informaticae 124(1-2): 47-61 (2013)
[j14]
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José Hiroki Saito, João F. Mari, Emerson Carlos Pedrino, João-Batista Destro-Filho, Maria C. Nicoletti:
Simulated Activation Patterns of Biological Neurons Cultured onto a Multi-Electrode Array Based on a Modified Izhikevich's Model. Fundam. Informaticae 124(1-2): 111-132 (2013)
[j13]
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Maria C. Nicoletti, Flávia O. Santos de Sá Lisboa, Estevam R. Hruschka Jr.:
Automatic Learning of Temporal Relations Under the Closed World Assumption. Fundam. Informaticae 124(1-2): 133-151 (2013)
[j12]
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Emerson Carlos Pedrino, Valentin Obac Roda, Edilson Reis Rodrigues Kato, José Hiroki Saito, Mário Luiz Tronco, Roberto H. Tsunaki, Orides Morandin Jr., Maria C. Nicoletti:
A genetic programming based system for the automatic construction of image filters. Integr. Comput. Aided Eng. 20(3): 275-287 (2013)
2010
[j11]
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João Roberto Bertini Jr., Maria do Carmo Nicoletti:
A two-class constructive neural network algorithm for continuous domains: the OffTiling algorithm. Int. J. Knowl. Eng. Data Min. 1(2): 161-183 (2010)
2009
[j10]
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Gláucia M. Bressan, Vilma A. de Oliveira, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti:
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop. Eng. Appl. Artif. Intell. 22(4-5): 579-592 (2009)
2008
[j9]
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Maria do Carmo Nicoletti, Daniel Monegatto Santoro:
The influence of search mechanisms in feature subset selection processes. Intell. Decis. Technol. 2(4): 231-238 (2008)
[j8]
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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)
[j7]
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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. Univers. Comput. Sci. 14(15): 2456-2470 (2008)
2007
[j6]
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Vanessa Cristina de Castilho, Mounir Khalil El Debs, Maria do Carmo Nicoletti:
Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists. Eng. Appl. Artif. Intell. 20(4): 519-530 (2007)
[j5]
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Flávia O. Santos de Sá Lisboa, Maria do Carmo Nicoletti, Arthur Ramer:
A version of the NGE model suitable for fuzzy domains. J. Intell. Fuzzy Syst. 18(1): 1-17 (2007)
[j4]
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Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.:
Transferring neural network based knowledge into an exemplar-based learner. Neural Comput. Appl. 16(3): 257-265 (2007)
2006
[j3]
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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. Appl. Artif. Intell. 20(7): 609-638 (2006)
2002
[j2]
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Maria do Carmo Nicoletti, Jane Brennan:
Learning Spatial Relations Using an Inductive Logic Programming System. Comput. Artif. Intell. 21(1): 17-36 (2002)
1997
[j1]
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  - journals/sigweb/FortesN97
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Renata Pontin de Mattos Fortes, Maria do Carmo Nicoletti:
A family of link based metrics for the evaluation of Web documents. SIGWEB Newsl. 6(3): 21-23 (1997)

Conference and Workshop Papers

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2022
[c58]
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Paulo Rogerio Nietto, Maria do Carmo Nicoletti, Nilton Cesar Sacco:
Analyzing Electoral Data Using Partitional and Hierarchical Clustering Algorithms. ISDA (1) 2022: 53-64
2019
[c57]
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Maria do Carmo Nicoletti, Luis Andre Claudiano:
Reducing Data Volume in Instance Based Learning. HIS 2019: 10-20
[c56]
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S. V. Gonçalves, Maria C. Nicoletti:
A Proposal Based on Instance Typicality for Dealing with Nominal Attribute Values in Instance-Based Learning Environments. ISDA 2019: 14-23
2018
[c55]
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Emilio Carlos Rodrigues, Maria do Carmo Nicoletti:
Extending Flow Graphs for Handling Continuous-Valued Attributes. HIS 2018: 50-60
[c54]
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João R. Bertini, Viviani Akemi Kasahara, Maria C. Nicoletti:
Approaching miRNA Family Classification Through Constructive Neural Networks. IJCNN 2018: 1-8
[c53]
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Anderson Francisco de Oliveira, Maria do Carmo Nicoletti:
Favoring the k-Means Algorithm with Initialization Methods. ISDA (1) 2018: 21-31
2016
[c52]
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João Roberto Bertini Jr., Maria do Carmo Nicoletti:
A genetic algorithm for improving the induction of attribute-based decision graph classifiers. CEC 2016: 4104-4110
[c51]
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João Roberto Bertini Jr., Maria do Carmo Nicoletti:
Functionally expanded streaming data as input to classification processes using ensembles of constructive neural networks. IJCNN 2016: 1849-1856
[c50]
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Paulo Rogerio Nietto, Maria do Carmo Nicoletti:
Estimating the Number of Clusters as a Pre-processing Step to Unsupervised Learning. ISDA 2016: 25-34
[c49]
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Rodrigo C. Camargos, Paulo Rogerio Nietto, Maria do Carmo Nicoletti:
Agglomerative and Divisive Approaches to Unsupervised Learning in Gestalt Clusters. ISDA 2016: 35-44
[c48]
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Rodrigo C. Camargos, Maria do Carmo Nicoletti:
Three Case Studies Using Agglomerative Clustering. ISDA 2016: 67-76
[c47]
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M. A. Almeida, Emerson Carlos Pedrino, Maria C. Nicoletti:
A Genetically Programmable Hybrid Virtual Reconfigurable Architecture for Image Filtering Applications. SIBGRAPI 2016: 152-157
2015
[c46]
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R. S. João, Maria do Carmo Nicoletti, A. M. Monteiro, Marcela X. Ribeiro:
Extracting Association Rules from a Retail Database: Two Case Studies. HIS 2015: 1-11
[c45]
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João Roberto Bertini Jr., Maria do Carmo Nicoletti:
Refining constructive neural networks using functionally expanded input data. IJCNN 2015: 1-8
[c44]
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R. S. João, Maria C. Nicoletti, A. M. Monteiro:
Dealing with temporality when inducing association rules from a retail database. ISDA 2015: 19-24
2014
[c43]
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Rafael Stoffalette Joao, Tarcisio Fonseca Guidoni, João Roberto Bertini Jr., Maria do Carmo Nicoletti, Almir Olivette Artero:
Stock Closing Price Forecasting Using Ensembles of Constructive Neural Networks. BRACIS 2014: 109-114
[c42]
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João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao:
Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs. IJCNN 2014: 1100-1106
[c41]
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  - conf/sigcse/OliveiraNC14
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Osvaldo Luiz De Oliveira, Maria C. Nicoletti, Luís Mariano del Val Cura:
Quantitative correlation between ability to compute and student performance in a primary school. SIGCSE 2014: 505-510
2013
[c40]
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João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao:
Attribute-based Decision Graphs for multiclass data classification. IEEE Congress on Evolutionary Computation 2013: 1779-1785
[c39]
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João R. Bertini, Maria do Carmo Nicoletti, Liang Zhao:
Ensemble of complete P-partite graph classifiers for non-stationary environments. IEEE Congress on Evolutionary Computation 2013: 1802-1809
[c38]
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Maria do Carmo Nicoletti, Eduardo Machado Real, Osvaldo Luiz De Oliveira:
The impact of refinement strategies on sequential clustering algorithms. ISDA 2013: 47-52
[c37]
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Emerson Carlos Pedrino, Maria C. Nicoletti, José Hiroki Saito, Luís Mariano del Val Cura, Valentin Obac Roda:
A Binary Morphology-Based Clustering Algorithm Directed by Genetic Algorithm. SMC 2013: 409-414
2012
[c36]
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Cristiane A. Yaguinuma, Marilde Terezinha Prado Santos, Heloisa A. Camargo, Maria C. Nicoletti, Tatiane M. Nogueira:
Fuzz-Onto: A meta-ontology for representing fuzzy elements and supporting fuzzy classification rules. ISDA 2012: 166-171
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Maria C. Nicoletti, Flávia O. Santos de Sá Lisboa, Estevam R. Hruschka Jr., Osvaldo Luiz De Oliveira:
Representation and automatic learning of temporal relations between time periods with uncertain boundaries. ISDA 2012: 443-448
2011
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Maria do Carmo Nicoletti, João Roberto Bertini Jr., Osvaldo Luiz De Oliveira:
Interpreting Hidden Neurons in Boolean Constructive Neural Networks. IDEAL 2011: 34-41
[c33]
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Maísa Cristina Duarte, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti:
Minimização do Impacto do Problema de Desvio de Conceito por Meio de Acoplamento em Ambiente de Aprendizado Sem Fim (Minimizing the Impact of the Concept Drift Problem by Using a Framework of Endless Learning) [in Portuguese]. STIL 2011
2008
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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
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Luciana Montera, Maria C. Nicoletti:
The PCR Primer Design as a Metaheuristic Search Process. ICAISC 2008: 963-973
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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
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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
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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
2007
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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
[c26]
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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
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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
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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
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Gláucia M. Bressan, Vilma A. de Oliveira, Estevam R. Hruschka Jr., Maria C. Nicoletti:
Biomass Based Weed-Crop Competitiveness Classification Using Bayesian Networks. ISDA 2007: 121-126
[c22]
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Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti:
Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach. ISDA 2007: 315-322
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Daniel Monegatto Santoro, Maria do Carmo Nicoletti, Estevam R. Hruschka Jr.:
C-Focus-3: a C-Focus with a New Heuristic Search Strategy. ISDA 2007: 479-484
2006
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Luciana Montera, Maria do Carmo Nicoletti, Flavio Henrique da Silva:
Computer Assisted Parental Sequences Analysis as a Previous Step to DNA Shuffling Process. IEEE Congress on Evolutionary Computation 2006: 2315-2322
[c19]
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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
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João Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr.:
A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms. SMC 2006: 3497-3502
2005
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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
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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
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Daniel Monegatto Santoro, Maria do Carmo Nicoletti:
Investigating a Wrapper Approach for Selecting Features Using Constructive Neural Networks. ITCC (2) 2005: 77-82
[c14]
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Daniel Monegatto Santoro, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti:
Selecting feature subsets for inducing classifiers using a committee of heterogeneous methods. SMC 2005: 375-380
2004
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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
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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
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Lucas Baggio Figueira, Maria do Carmo Nicoletti:
Evaluating the effects of distance metrics on a NGE-based system. SMC (4) 2004: 3395-3401
2003
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Flávia O. Santos de Sá Lisboa, Maria do Carmo Nicoletti, Arthur Ramer:
Experiencing fuzzy exemplar-based classifier systems. FUZZ-IEEE 2003: 90-95
[c9]
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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
[c8]
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Vanessa Cristina de 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
2001
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Flávia O. Santos de Sá Lisboa, Maria do Carmo Nicoletti, Arthur Ramer:
A Fuzzy Classifier System Based on Generalized Exemplars. FUZZ-IEEE 2001: 73-76
[c6]
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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
[c5]
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Maria do Carmo Nicoletti, Jane Brennan:
Inducing Spatial Knowledge with a First-Order Learning System. IS 2000: 131-134
[c4]
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Maria do Carmo Nicoletti, Jane Brennan:
Learning to Transfer Knowledge between Reference Systems. FLAIRS 2000: 276-280
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Arthur Ramer, Bernadette Bouchon-Meunier, Maria do Carmo Nicoletti, Christophe Marsala, Maria Rifqi:
Interpolative model for fuzzy arithmetic. FUZZ-IEEE 2000: 633-635
1998
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Maria do Carmo Nicoletti, Flavia Oliveira Santos:
A Constructive Fuzzy NGE Learning System. Discovery Science 1998: 427-428
1995
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Maria do Carmo Nicoletti, Maria Carolina Monard:
Constructing the Extensional Representation of an Intentional Domain Theory in Inductive Logic Programming. SBIA 1995: 171-180

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2018
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João Roberto Bertini Junior, Maria do Carmo Nicoletti:
Attribute-Based Decision Graphs and Their Roles in Machine Learning Related Tasks. Advances in Feature Selection for Data and Pattern Recognition 2018: 53-71
2009
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Maria do Carmo Nicoletti, João Roberto Bertini Jr., David A. Elizondo, Leonardo Franco, José M. Jerez:
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. Constructive Neural Networks 2009: 1-23
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Viviani Akemi Kasahara, Maria do Carmo Nicoletti:
Investigating Neighborhood Graphs for Inducing Density Based Clusters. Foundations of Computational Intelligence (5) 2009: 57-78
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João Roberto Bertini Jr., Maria do Carmo Nicoletti:
A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability. Constructive Neural Networks 2009: 145-169

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