Maria do Carmo Nicoletti

Publication Activity (10 Years)

Years Active: 1995-2022
Publications (10 Years): 17

Top Topics

Clustering Algorithm

Constructive Neural Networks

Unsupervised Learning

Top Venues

Int. J. Hybrid Intell. Syst.

Expert Syst. Appl.

Publications

Paulo Rogerio Nietto, Maria do Carmo Nicoletti, Nilton Cesar Sacco
Analyzing Electoral Data Using Partitional and Hierarchical Clustering Algorithms. ISDA (1) (2022)
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 (2021)
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) (2020)
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) (2020)
João Roberto Bertini Junior, Maria do Carmo Nicoletti
An iterative boosting-based ensemble for streaming data classification. Inf. Fusion 45 (2019)
Maria do Carmo Nicoletti, Emilio Carlos Rodrigues
Flow graphs as data structures for inducing classifiers. Int. J. Hybrid Intell. Syst. 15 (2) (2019)
Anderson Francisco de Oliveira, Maria do Carmo Nicoletti
Favoring the k-Means Algorithm with Initialization Methods. ISDA (1) (2018)
Emilio Carlos Rodrigues, Maria do Carmo Nicoletti
Extending Flow Graphs for Handling Continuous-Valued Attributes. HIS (2018)
João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao
Attribute-based Decision Graphs: A framework for multiclass data classification. Neural Networks 85 (2017)
João Roberto Bertini Junior, Maria do Carmo Nicoletti
Enhancing classification performance using attribute-oriented functionally expanded data. Pattern Recognit. Lett. 89 (2017)
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) (2016)
Rodrigo C. Camargos, Paulo Rogerio Nietto, Maria do Carmo Nicoletti
Agglomerative and Divisive Approaches to Unsupervised Learning in Gestalt Clusters. ISDA (2016)
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)
João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao
An embedded imputation method via Attribute-based Decision Graphs. Expert Syst. Appl. 57 (2016)
João Roberto Bertini Jr., Maria do Carmo Nicoletti
A genetic algorithm for improving the induction of attribute-based decision graph classifiers. CEC (2016)
Paulo Rogerio Nietto, Maria do Carmo Nicoletti
Estimating the Number of Clusters as a Pre-processing Step to Unsupervised Learning. ISDA (2016)
Rodrigo C. Camargos, Maria do Carmo Nicoletti
Three Case Studies Using Agglomerative Clustering. ISDA (2016)
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)
João Roberto Bertini Jr., Maria do Carmo Nicoletti
Refining constructive neural networks using functionally expanded input data. IJCNN (2015)
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) (2015)
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) (2015)
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)
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)
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) (2014)
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 (2014)
Maria do Carmo Nicoletti, Eduardo Machado Real, Osvaldo Luiz De Oliveira
The impact of refinement strategies on sequential clustering algorithms. ISDA (2013)
João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao
Attribute-based Decision Graphs for multiclass data classification. IEEE Congress on Evolutionary Computation (2013)
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)
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)
Maria do Carmo Nicoletti, João Roberto Bertini Jr., Osvaldo Luiz De Oliveira
Interpreting Hidden Neurons in Boolean Constructive Neural Networks. IDEAL (2011)
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) (2010)
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) (2009)
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)
Maria do Carmo Nicoletti, Daniel Monegatto Santoro
The influence of search mechanisms in feature subset selection processes. Intell. Decis. Technol. 2 (4) (2008)
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) (2008)
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)
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)
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) (2008)
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)
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) (2007)
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)
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)
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)
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)
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)
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) (2007)
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) (2007)
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)
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)
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)
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) (2006)
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)
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)
Daniel Monegatto Santoro, Maria do Carmo Nicoletti
Investigating a Wrapper Approach for Selecting Features Using Constructive Neural Networks. ITCC (2) (2005)
Joao Marcos Vieira, Maria do Carmo Nicoletti, Marina Teresa Pires Vieira
A Collaborative Approach to Knowledge Extraction from Rough Relational Databases. HIS (2005)
Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.
Initializing an Exemplar Based Learning Process from a RuleNet Network. HIS (2005)
Lucas Baggio Figueira, Maria do Carmo Nicoletti
Choosing the Initial Set of Exemplars when Learning with an NGE-based System. ITCC (2) (2004)
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)
Lucas Baggio Figueira, Maria do Carmo Nicoletti
Evaluating the effects of distance metrics on a NGE-based system. SMC (4) (2004)
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)
Flávia O. Santos de Sá Lisboa, Maria do Carmo Nicoletti, Arthur Ramer
Experiencing fuzzy exemplar-based classifier systems. FUZZ-IEEE (2003)
Maria do Carmo Nicoletti, Jane Brennan
Learning Spatial Relations Using an Inductive Logic Programming System. Comput. Artif. Intell. 21 (1) (2002)
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)
Maria do Carmo Nicoletti, Joaquim Quinteiro Uchôa
A Family of Algorithms for Implementing the Main Concepts of the Rough Set Theory. HIS (2001)
Flávia O. Santos de Sá Lisboa, Maria do Carmo Nicoletti, Arthur Ramer
A Fuzzy Classifier System Based on Generalized Exemplars. FUZZ-IEEE (2001)
Arthur Ramer, Bernadette Bouchon-Meunier, Maria do Carmo Nicoletti, Christophe Marsala, Maria Rifqi
Interpolative model for fuzzy arithmetic. FUZZ-IEEE (2000)
Maria do Carmo Nicoletti, Jane Brennan
Learning to Transfer Knowledge between Reference Systems. FLAIRS Conference (2000)
Maria do Carmo Nicoletti, Jane Brennan
Inducing Spatial Knowledge with a First-Order Learning System. IS (2000)
Maria do Carmo Nicoletti, Flavia Oliveira Santos
A Constructive Fuzzy NGE Learning System. Discovery Science (1998)
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) (1997)
Maria do Carmo Nicoletti, Maria Carolina Monard
Constructing the Extensional Representation of an Intentional Domain Theory in Inductive Logic Programming. SBIA (1995)