Maria do Carmo Nicoletti

77 papers B 16C 20Misc 1Journal 25Unranked 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Comparing yinyang and fission-fusion algorithms for accelerating the k-means.
Int. J. Knowl. Learn.
Marcelo Kuchar Matte, Maria do Carmo Nicoletti
2022 — conf
Analyzing Electoral Data Using Partitional and Hierarchical Clustering Algorithms.
ISDA (1)
Paulo Rogerio Nietto, Maria do Carmo Nicoletti, Nilton Cesar Sacco
2021 J jnl
Effect of the Municipal Human Development Index on the results of the 2018 Brazilian presidential elections.
Expert Syst. Appl.
Eduardo Javier Huerta Yero, Nilton Cesar Sacco, Maria do Carmo Nicoletti
2020 J jnl
Empirical evaluation of five algorithms for the initialization phase of the k-Means algorithm.
Int. J. Hybrid Intell. Syst.
Maria do Carmo Nicoletti, Anderson Francisco de Oliveira
2020 J jnl
Using the concept of instance typicality in instance-based learning environments involving nominal attributes.
Int. J. Hybrid Intell. Syst.
S. V. Gonçalves, Maria do Carmo Nicoletti
2019 J jnl
An iterative boosting-based ensemble for streaming data classification.
Inf. Fusion
João Roberto Bertini Junior, Maria do Carmo Nicoletti
2019 J jnl
Flow graphs as data structures for inducing classifiers.
Int. J. Hybrid Intell. Syst.
Maria do Carmo Nicoletti, Emilio Carlos Rodrigues
2019 C conf
Reducing Data Volume in Instance Based Learning.
HIS
Maria do Carmo Nicoletti, Luis Andre Claudiano
2018 — ch.
Attribute-Based Decision Graphs and Their Roles in Machine Learning Related Tasks.
Advances in Feature Selection for Data and Pattern Recognition
João Roberto Bertini Junior, Maria do Carmo Nicoletti
2018 C conf
Extending Flow Graphs for Handling Continuous-Valued Attributes.
HIS
Emilio Carlos Rodrigues, Maria do Carmo Nicoletti
2018 — conf
Favoring the k-Means Algorithm with Initialization Methods.
ISDA (1)
Anderson Francisco de Oliveira, Maria do Carmo Nicoletti
2017 J jnl
Attribute-based Decision Graphs: A framework for multiclass data classification.
Neural Networks
João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao
2017 J jnl
Enhancing classification performance using attribute-oriented functionally expanded data.
Pattern Recognit. Lett.
João Roberto Bertini Junior, Maria do Carmo Nicoletti
2016 B conf
A genetic algorithm for improving the induction of attribute-based decision graph classifiers.
CEC
João Roberto Bertini Jr., Maria do Carmo Nicoletti
2016 C conf
Agglomerative and Divisive Approaches to Unsupervised Learning in Gestalt Clusters.
ISDA
Rodrigo C. Camargos, Paulo Rogerio Nietto, Maria do Carmo Nicoletti
2016 J jnl
An embedded imputation method via Attribute-based Decision Graphs.
Expert Syst. Appl.
João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao
2016 J jnl
Enhancing Constructive Neural Network Performance Using Functionally Expanded Input Data.
J. Artif. Intell. Soft Comput. Res.
João Roberto Bertini Junior, Maria do Carmo Nicoletti
2016 C conf
Estimating the Number of Clusters as a Pre-processing Step to Unsupervised Learning.
ISDA
Paulo Rogerio Nietto, Maria do Carmo Nicoletti
2016 B conf
Functionally expanded streaming data as input to classification processes using ensembles of constructive neural networks.
IJCNN
João Roberto Bertini Jr., Maria do Carmo Nicoletti
2016 C conf
Three Case Studies Using Agglomerative Clustering.
ISDA
Rodrigo C. Camargos, Maria do Carmo Nicoletti
2015 J jnl
Automatic learning of image filters using Cartesian genetic programming.
Integr. Comput. Aided Eng.
Paulo Cesar Donizeti Paris, Emerson Carlos Pedrino, Maria do Carmo Nicoletti
2015 C conf
Extracting Association Rules from a Retail Database: Two Case Studies.
HIS
R. S. João, Maria do Carmo Nicoletti, A. M. Monteiro, Marcela X. Ribeiro
2015 J jnl
Quantitative Analysis of Rat Dorsal Root Ganglion Neurons Cultured on Microelectrode Arrays Based on Fluorescence Microscopy Image Processing.
Int. J. Neural Syst.
João F. Mari, José Hiroki Saito, Amanda Ferreira Neves, Celina Monteiro da Cruz Lotufo, João-Batista Destro-Filho, Maria do Carmo Nicoletti
2015 B conf
Refining constructive neural networks using functionally expanded input data.
IJCNN
João Roberto Bertini Jr., Maria do Carmo Nicoletti
2014 B conf
Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs.
IJCNN
João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao
2014 J jnl
Solar flare detection system based on tolerance near sets in a GPU-CUDA framework.
Knowl. Based Syst.
Gustavo Poli, E. Llapa, J. R. Cecatto, José Hiroki Saito, James F. Peters, Sheela Ramanna, Maria do Carmo Nicoletti
2014 — conf
Stock Closing Price Forecasting Using Ensembles of Constructive Neural Networks.
BRACIS
Rafael Stoffalette Joao, Tarcisio Fonseca Guidoni, João Roberto Bertini Jr., Maria do Carmo Nicoletti, Almir Olivette Artero
2014 J jnl
The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data.
Int. J. Hybrid Intell. Syst.
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Nelson F. F. Ebecken
2013 B conf
Attribute-based Decision Graphs for multiclass data classification.
IEEE Congress on Evolutionary Computation
João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao
2013 B conf
Ensemble of complete P-partite graph classifiers for non-stationary environments.
IEEE Congress on Evolutionary Computation
João R. Bertini, Maria do Carmo Nicoletti, Liang Zhao
2013 C conf
The impact of refinement strategies on sequential clustering algorithms.
ISDA
Maria do Carmo Nicoletti, Eduardo Machado Real, Osvaldo Luiz De Oliveira
2011 C conf
Interpreting Hidden Neurons in Boolean Constructive Neural Networks.
IDEAL
Maria do Carmo Nicoletti, João Roberto Bertini Jr., Osvaldo Luiz De Oliveira
2011 — conf
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
Maísa Cristina Duarte, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2010 J jnl
A two-class constructive neural network algorithm for continuous domains: the OffTiling algorithm.
Int. J. Knowl. Eng. Data Min.
João Roberto Bertini Jr., Maria do Carmo Nicoletti
2009 — ch.
A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability.
Constructive Neural Networks
João Roberto Bertini Jr., Maria do Carmo Nicoletti
2009 — ch.
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks.
Constructive Neural Networks
Maria do Carmo Nicoletti, João Roberto Bertini Jr., David A. Elizondo, Leonardo Franco, José M. Jerez
2009 — ch.
Investigating Neighborhood Graphs for Inducing Density Based Clusters.
Foundations of Computational Intelligence (5)
Viviani Akemi Kasahara, Maria do Carmo Nicoletti
2009 J jnl
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop.
Eng. Appl. Artif. Intell.
Gláucia M. Bressan, Vilma A. de Oliveira, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2008 C conf
A Heuristic Search for Optimal Parameter Values of Three Biokinetic Growth Models for Describing Batch Cultivations of Streptococcus Pneumoniaein Bioreactors.
IEA/AIE
Luciana Montera, Antonio C. L. Horta, Teresa C. Zangirolami, Maria do Carmo Nicoletti, Talita S. Carmo, Viviane M. Gonçalves
2008 C conf
An Empirical Investigation of the Use of a Neural Network Committee for Identifying the Streptococcus PneumoniaeGrowth Phases in Batch Cultivations.
IEA/AIE
Antonio C. L. Horta, Teresa C. Zangirolami, Maria do Carmo Nicoletti, Luciana Montera, Talita S. Carmo, Viviane M. Gonçalves
2008 B conf
An effective mutation-based measure for evaluating the suitability of parental sequences to undergo DNA shuffling experiments.
IEEE Congress on Evolutionary Computation
Luciana Montera, Maria do Carmo Nicoletti, Flavio Henrique da Silva, Pablo Moscato
2008 J jnl
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches.
J. Univers. Comput. Sci.
Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2008 J jnl
BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers.
Int. J. Hybrid Intell. Syst.
Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Gláucia M. Bressan
2008 — conf
MBabCoNN - A Multiclass Version of a Constructive Neural Network Algorithm Based on Linear Separability and Convex Hull.
ICANN (2)
João Roberto Bertini Jr., Maria do Carmo Nicoletti
2008 J jnl
The influence of search mechanisms in feature subset selection processes.
Intell. Decis. Technol.
Maria do Carmo Nicoletti, Daniel Monegatto Santoro
2007 J jnl
A version of the NGE model suitable for fuzzy domains.
J. Intell. Fuzzy Syst.
Flávia O. Santos de Sá Lisboa, Maria do Carmo Nicoletti, Arthur Ramer
2007 B conf
BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base.
FUZZ-IEEE
Estevam R. Hruschka Jr., Heloisa de Arruda Camargo, Marcos Evandro Cintra, Maria do Carmo Nicoletti
2007 C conf
C-Focus-3: a C-Focus with a New Heuristic Search Strategy.
ISDA
Daniel Monegatto Santoro, Maria do Carmo Nicoletti, Estevam R. Hruschka Jr.
2007 B conf
Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search.
IEEE Congress on Evolutionary Computation
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2007 — conf
Feature-weighted k-Nearest Neighbor Classifier.
FOCI
Diego P. Vivencio, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão
2007 C conf
Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach.
ISDA
Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2007 C conf
Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules.
HIS
Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Gláucia M. Bressan
2007 J jnl
Transferring neural network based knowledge into an exemplar-based learner.
Neural Comput. Appl.
Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.
2007 J jnl
Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists.
Eng. Appl. Artif. Intell.
Vanessa Cristina de Castilho, Mounir Khalil El Debs, Maria do Carmo Nicoletti
2006 B conf
A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms.
SMC
João Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr.
2006 B conf
Computer Assisted Parental Sequences Analysis as a Previous Step to DNA Shuffling Process.
IEEE Congress on Evolutionary Computation
Luciana Montera, Maria do Carmo Nicoletti, Flavio Henrique da Silva
2006 C conf
Two Variants of the Constructive Neural Network Tiling Algorithm.
HIS
João Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr., Arthur Ramer
2006 J jnl
Using Constructive Neural Networks for Detecting Central Vestibular System Lesion.
Appl. Artif. Intell.
Lucas Baggio Figueira, Luiz Garcia Palma Neto, João Roberto Bertini Jr., Maria do Carmo Nicoletti
2005 C conf
A Collaborative Approach to Knowledge Extraction from Rough Relational Databases.
HIS
Joao Marcos Vieira, Maria do Carmo Nicoletti, Marina Teresa Pires Vieira
2005 C conf
Initializing an Exemplar Based Learning Process from a RuleNet Network.
HIS
Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.
2005 — conf
Investigating a Wrapper Approach for Selecting Features Using Constructive Neural Networks.
ITCC (2)
Daniel Monegatto Santoro, Maria do Carmo Nicoletti
2005 B conf
Selecting feature subsets for inducing classifiers using a committee of heterogeneous methods.
SMC
Daniel Monegatto Santoro, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2004 — conf
Choosing the Initial Set of Exemplars when Learning with an NGE-based System.
ITCC (2)
Lucas Baggio Figueira, Maria do Carmo Nicoletti
2004 — conf
Evaluating the effects of distance metrics on a NGE-based system.
SMC (4)
Lucas Baggio Figueira, Maria do Carmo Nicoletti
2004 C conf
Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection.
HIS
Pablo Alberto Dalbem de Castro, Daniel Monegatto Santoro, Heloisa de Arruda Camargo, Maria do Carmo Nicoletti
2003 B conf
Experiencing fuzzy exemplar-based classifier systems.
FUZZ-IEEE
Flávia O. Santos de Sá Lisboa, Maria do Carmo Nicoletti, Arthur Ramer
2003 C conf
Using a Family of Perceptron-Based Neural Networks for Detecting Central Vestibular System Problems.
ICMLA
Luiz Garcia Palma Neto, Lucas Baggio Figueira, Maria do Carmo Nicoletti
2002 J jnl
Learning Spatial Relations Using an Inductive Logic Programming System.
Comput. Artif. Intell.
Maria do Carmo Nicoletti, Jane Brennan
2002 C conf
Using Genetic Algorithms for Minimizing the Production Costs of Hollow Core Slabs.
HIS
Vanessa Cristina de Castilho, Maria do Carmo Nicoletti, Mounir Khalil El Debs
2001 C conf
A Family of Algorithms for Implementing the Main Concepts of the Rough Set Theory.
HIS
Maria do Carmo Nicoletti, Joaquim Quinteiro Uchôa
2001 B conf
A Fuzzy Classifier System Based on Generalized Exemplars.
FUZZ-IEEE
Flávia O. Santos de Sá Lisboa, Maria do Carmo Nicoletti, Arthur Ramer
2000 — conf
Inducing Spatial Knowledge with a First-Order Learning System.
IS
Maria do Carmo Nicoletti, Jane Brennan
2000 B conf
Interpolative model for fuzzy arithmetic.
FUZZ-IEEE
Arthur Ramer, Bernadette Bouchon-Meunier, Maria do Carmo Nicoletti, Christophe Marsala, Maria Rifqi
2000 Misc conf
Learning to Transfer Knowledge between Reference Systems.
FLAIRS
Maria do Carmo Nicoletti, Jane Brennan
1998 B conf
A Constructive Fuzzy NGE Learning System.
Discovery Science
Maria do Carmo Nicoletti, Flavia Oliveira Santos
1997 J jnl
A family of link based metrics for the evaluation of Web documents.
SIGWEB Newsl.
Renata Pontin de Mattos Fortes, Maria do Carmo Nicoletti
1995 — conf
Constructing the Extensional Representation of an Intentional Domain Theory in Inductive Logic Programming.
SBIA
Maria do Carmo Nicoletti, Maria Carolina Monard