Constructing the Extensional Representation of an Intentional Domain Theory in Inductive Logic Programming. - Maria do Carmo Nicoletti; Maria Carolina Monard (SBIA, 1995)

A family of link based metrics for the evaluation of Web documents. - Renata Pontin de Mattos Fortes; Maria do Carmo Nicoletti (SIGWEB Newsl., 1997)

A Constructive Fuzzy NGE Learning System. - Maria do Carmo Nicoletti; Flavia Oliveira Santos (Discovery Science, 1998)

Inducing Spatial Knowledge with a First-Order Learning System. - Maria do Carmo Nicoletti; Jane Brennan (IS, 2000)

Learning to Transfer Knowledge between Reference Systems. - Maria do Carmo Nicoletti; Jane Brennan (FLAIRS, 2000)

Interpolative model for fuzzy arithmetic. - Arthur Ramer; Bernadette Bouchon-Meunier; Maria do Carmo Nicoletti; Christophe Marsala; Maria Rifqi (FUZZ-IEEE, 2000)

A Fuzzy Classifier System Based on Generalized Exemplars. - Flávia O. Santos de Sá Lisboa; Maria do Carmo Nicoletti; Arthur Ramer (FUZZ-IEEE, 2001)

A Family of Algorithms for Implementing the Main Concepts of the Rough Set Theory. - Maria do Carmo Nicoletti; Joaquim Quinteiro Uchôa (HIS, 2001)

Using Genetic Algorithms for Minimizing the Production Costs of Hollow Core Slabs. - Vanessa Cristina de Castilho; Maria do Carmo Nicoletti; Mounir Khalil El Debs (HIS, 2002)

Learning Spatial Relations Using an Inductive Logic Programming System. - Maria do Carmo Nicoletti; Jane Brennan (Comput. Artif. Intell., 2002)

Experiencing fuzzy exemplar-based classifier systems. - Flávia O. Santos de Sá Lisboa; Maria do Carmo Nicoletti; Arthur Ramer (FUZZ-IEEE, 2003)

Using a Family of Perceptron-Based Neural Networks for Detecting Central Vestibular System Problems. - Luiz Garcia Palma Neto; Lucas Baggio Figueira; Maria do Carmo Nicoletti (ICMLA, 2003)

Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection. - Pablo Alberto Dalbem de Castro; Daniel Monegatto Santoro; Heloisa de Arruda Camargo; Maria do Carmo Nicoletti (HIS, 2004)

Choosing the Initial Set of Exemplars when Learning with an NGE-based System. - Lucas Baggio Figueira; Maria do Carmo Nicoletti (ITCC (2), 2004)

Evaluating the effects of distance metrics on a NGE-based system. - Lucas Baggio Figueira; Maria do Carmo Nicoletti (SMC (4), 2004)

Initializing an Exemplar Based Learning Process from a RuleNet Network. - Maria do Carmo Nicoletti; Lucas Baggio Figueira; Estevam R. Hruschka Jr. (HIS, 2005)

A Collaborative Approach to Knowledge Extraction from Rough Relational Databases. - Joao Marcos Vieira; Maria do Carmo Nicoletti; Marina Teresa Pires Vieira (HIS, 2005)

Investigating a Wrapper Approach for Selecting Features Using Constructive Neural Networks. - Daniel Monegatto Santoro; Maria do Carmo Nicoletti (ITCC (2), 2005)

Selecting feature subsets for inducing classifiers using a committee of heterogeneous methods. - Daniel Monegatto Santoro; Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti (SMC, 2005)

Computer Assisted Parental Sequences Analysis as a Previous Step to DNA Shuffling Process. - Luciana Montera; Maria do Carmo Nicoletti; Flavio Henrique da Silva (IEEE Congress on Evolutionary Computation, 2006)

Two Variants of the Constructive Neural Network Tiling Algorithm. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Estevam R. Hruschka Jr.; Arthur Ramer (HIS, 2006)

A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Estevam R. Hruschka Jr. (SMC, 2006)

Using Constructive Neural Networks for Detecting Central Vestibular System Lesion. - Lucas Baggio Figueira; Luiz Garcia Palma Neto; João Roberto Bertini Jr.; Maria do Carmo Nicoletti (Appl. Artif. Intell., 2006)

Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search. - Edimilson Batista dos Santos; Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti (IEEE Congress on Evolutionary Computation, 2007)

Feature-weighted k-Nearest Neighbor Classifier. - Diego P. Vivencio; Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti; Edimilson Batista dos Santos; Sebastian D. C. de O. Galvão (FOCI, 2007)

BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base. - Estevam R. Hruschka Jr.; Heloisa de Arruda Camargo; Marcos Evandro Cintra; Maria do Carmo Nicoletti (FUZZ-IEEE, 2007)

Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules. - Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti; Vilma A. de Oliveira; Gláucia M. Bressan (HIS, 2007)

Biomass Based Weed-Crop Competitiveness Classification Using Bayesian Networks. - Gláucia M. Bressan; Vilma A. de Oliveira; Estevam R. Hruschka Jr.; Maria C. Nicoletti (ISDA, 2007)

Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach. - Marcos Evandro Cintra; Heloisa de Arruda Camargo; Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti (ISDA, 2007)

C-Focus-3: a C-Focus with a New Heuristic Search Strategy. - Daniel Monegatto Santoro; Maria do Carmo Nicoletti; Estevam R. Hruschka Jr. (ISDA, 2007)

Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists. - Vanessa Cristina de Castilho; Mounir Khalil El Debs; Maria do Carmo Nicoletti (Eng. Appl. Artif. Intell., 2007)

A version of the NGE model suitable for fuzzy domains. - Flávia O. Santos de Sá Lisboa; Maria do Carmo Nicoletti; Arthur Ramer (J. Intell. Fuzzy Syst., 2007)

Transferring neural network based knowledge into an exemplar-based learner. - Maria do Carmo Nicoletti; Lucas Baggio Figueira; Estevam R. Hruschka Jr. (Neural Comput. Appl., 2007)

An effective mutation-based measure for evaluating the suitability of parental sequences to undergo DNA shuffling experiments. - Luciana Montera; Maria do Carmo Nicoletti; Flavio Henrique da Silva; Pablo Moscato (IEEE Congress on Evolutionary Computation, 2008)

The PCR Primer Design as a Metaheuristic Search Process. - Luciana Montera; Maria C. Nicoletti (ICAISC, 2008)

MBabCoNN - A Multiclass Version of a Constructive Neural Network Algorithm Based on Linear Separability and Convex Hull. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti (ICANN (2), 2008)

An Empirical Investigation of the Use of a Neural Network Committee for Identifying the Streptococcus PneumoniaeGrowth Phases in Batch Cultivations. - Antonio C. L. Horta; Teresa C. Zangirolami; Maria do Carmo Nicoletti; Luciana Montera; Talita S. Carmo; Viviane M. Gonçalves (IEA/AIE, 2008)

A Heuristic Search for Optimal Parameter Values of Three Biokinetic Growth Models for Describing Batch Cultivations of Streptococcus Pneumoniaein Bioreactors. - Luciana Montera; Antonio C. L. Horta; Teresa C. Zangirolami; Maria do Carmo Nicoletti; Talita S. Carmo; Viviane M. Gonçalves (IEA/AIE, 2008)

The influence of search mechanisms in feature subset selection processes. - Maria do Carmo Nicoletti; Daniel Monegatto Santoro (Intell. Decis. Technol., 2008)

BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers. - Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti; Vilma A. de Oliveira; Gláucia M. Bressan (Int. J. Hybrid Intell. Syst., 2008)

Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches. - Marcos Evandro Cintra; Heloisa de Arruda Camargo; Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti (J. Univers. Comput. Sci., 2008)

Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop. - Gláucia M. Bressan; Vilma A. de Oliveira; Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti (Eng. Appl. Artif. Intell., 2009)

A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti (Constructive Neural Networks, 2009)

Investigating Neighborhood Graphs for Inducing Density Based Clusters. - Viviani Akemi Kasahara; Maria do Carmo Nicoletti (Foundations of Computational Intelligence (5), 2009)

Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. - Maria do Carmo Nicoletti; João Roberto Bertini Jr.; David A. Elizondo; Leonardo Franco; José M. Jerez (Constructive Neural Networks, 2009)

A two-class constructive neural network algorithm for continuous domains: the OffTiling algorithm. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti (Int. J. Knowl. Eng. Data Min., 2010)

Interpreting Hidden Neurons in Boolean Constructive Neural Networks. - Maria do Carmo Nicoletti; João Roberto Bertini Jr.; Osvaldo Luiz De Oliveira (IDEAL, 2011)

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]. - Maísa Cristina Duarte; Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti (STIL, 2011)

Representation and automatic learning of temporal relations between time periods with uncertain boundaries. - Maria C. Nicoletti; Flávia O. Santos de Sá Lisboa; Estevam R. Hruschka Jr.; Osvaldo Luiz De Oliveira (ISDA, 2012)

Fuzz-Onto: A meta-ontology for representing fuzzy elements and supporting fuzzy classification rules. - Cristiane A. Yaguinuma; Marilde Terezinha Prado Santos; Heloisa A. Camargo; Maria C. Nicoletti; Tatiane M. Nogueira (ISDA, 2012)

Ensemble of complete P-partite graph classifiers for non-stationary environments. - João R. Bertini; Maria do Carmo Nicoletti; Liang Zhao 001 (IEEE Congress on Evolutionary Computation, 2013)

Attribute-based Decision Graphs for multiclass data classification. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Liang Zhao 001 (IEEE Congress on Evolutionary Computation, 2013)

The impact of refinement strategies on sequential clustering algorithms. - Maria do Carmo Nicoletti; Eduardo Machado Real; Osvaldo Luiz De Oliveira (ISDA, 2013)

A Binary Morphology-Based Clustering Algorithm Directed by Genetic Algorithm. - Emerson Carlos Pedrino; Maria C. Nicoletti; José Hiroki Saito; Luís Mariano del Val Cura; Valentin Obac Roda (SMC, 2013)

Methodology for inferring kinetic parameters of diesel oil HDS reactions based on scarce experimental data. - A. S. Ferreira; Maria C. Nicoletti; João Roberto Bertini Jr.; Roberto de Campos Giordano (Comput. Chem. Eng., 2013)

On-line prediction of the feeding phase in high-cell density cultivation of rE. coli using constructive neural networks. - Maria C. Nicoletti; João Roberto Bertini Jr.; M. M. Tanizaki; Teresa C. Zangirolami; Viviane M. Gonçalves; Antonio C. L. Horta; Roberto de Campos Giordano (Comput. Methods Programs Biomed., 2013)

Coupling as Strategy for Reducing Concept-Drift in Never-ending Learning Environments. - Estevam R. Hruschka Jr.; Maisa C. Duarte; Maria C. Nicoletti (Fundam. Informaticae, 2013)

Automatic Learning of Temporal Relations Under the Closed World Assumption. - Maria C. Nicoletti; Flávia O. Santos de Sá Lisboa; Estevam R. Hruschka Jr. (Fundam. Informaticae, 2013)

Simulated Activation Patterns of Biological Neurons Cultured onto a Multi-Electrode Array Based on a Modified Izhikevich's Model. - José Hiroki Saito; João F. Mari; Emerson Carlos Pedrino; João-Batista Destro-Filho; Maria C. Nicoletti (Fundam. Informaticae, 2013)

A genetic programming based system for the automatic construction of image filters. - 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 (Integr. Comput. Aided Eng., 2013)

Stock Closing Price Forecasting Using Ensembles of Constructive Neural Networks. - Rafael Stoffalette Joao; Tarcisio Fonseca Guidoni; João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Almir Olivette Artero (BRACIS, 2014)

Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Liang Zhao 001 (IJCNN, 2014)

Quantitative correlation between ability to compute and student performance in a primary school. - Osvaldo Luiz De Oliveira; Maria C. Nicoletti; Luís Mariano del Val Cura (SIGCSE, 2014)

The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data. - Edimilson Batista dos Santos; Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti; Nelson F. F. Ebecken (Int. J. Hybrid Intell. Syst., 2014)

Solar flare detection system based on tolerance near sets in a GPU-CUDA framework. - Gustavo Poli; E. Llapa; J. R. Cecatto; José Hiroki Saito; James F. Peters; Sheela Ramanna; Maria do Carmo Nicoletti (Knowl. Based Syst., 2014)

Extracting Association Rules from a Retail Database: Two Case Studies. - R. S. João; Maria do Carmo Nicoletti; A. M. Monteiro; Marcela X. Ribeiro (HIS, 2015)

Refining constructive neural networks using functionally expanded input data. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti (IJCNN, 2015)

Dealing with temporality when inducing association rules from a retail database. - R. S. João; Maria C. Nicoletti; A. M. Monteiro (ISDA, 2015)

Automatic learning of image filters using Cartesian genetic programming. - Paulo Cesar Donizeti Paris; Emerson Carlos Pedrino; Maria do Carmo Nicoletti (Integr. Comput. Aided Eng., 2015)

Quantitative Analysis of Rat Dorsal Root Ganglion Neurons Cultured on Microelectrode Arrays Based on Fluorescence Microscopy Image Processing. - João F. Mari; José Hiroki Saito; Amanda Ferreira Neves; Celina Monteiro da Cruz Lotufo; João-Batista Destro-Filho; Maria do Carmo Nicoletti (Int. J. Neural Syst., 2015)

A genetic algorithm for improving the induction of attribute-based decision graph classifiers. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti (CEC, 2016)

Functionally expanded streaming data as input to classification processes using ensembles of constructive neural networks. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti (IJCNN, 2016)

Three Case Studies Using Agglomerative Clustering. - Rodrigo C. Camargos; Maria do Carmo Nicoletti (ISDA, 2016)

Agglomerative and Divisive Approaches to Unsupervised Learning in Gestalt Clusters. - Rodrigo C. Camargos; Paulo Rogerio Nietto; Maria do Carmo Nicoletti (ISDA, 2016)

Estimating the Number of Clusters as a Pre-processing Step to Unsupervised Learning. - Paulo Rogerio Nietto; Maria do Carmo Nicoletti (ISDA, 2016)

A Genetically Programmable Hybrid Virtual Reconfigurable Architecture for Image Filtering Applications. - M. A. Almeida; Emerson Carlos Pedrino; Maria C. Nicoletti (SIBGRAPI, 2016)

An embedded imputation method via Attribute-based Decision Graphs. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Liang Zhao 001 (Expert Syst. Appl., 2016)

A hardware oriented ad-hoc computer-based method for binary structuring element decomposition based on genetic algorithms. - P. E. Pillon; Emerson Carlos Pedrino; Valentin Obac Roda; Maria C. Nicoletti (Integr. Comput. Aided Eng., 2016)

Enhancing Constructive Neural Network Performance Using Functionally Expanded Input Data. - João Roberto Bertini Junior; Maria do Carmo Nicoletti (J. Artif. Intell. Soft Comput. Res., 2016)

Attribute-based Decision Graphs: A framework for multiclass data classification. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Liang Zhao 001 (Neural Networks, 2017)

Enhancing classification performance using attribute-oriented functionally expanded data. - João Roberto Bertini Junior; Maria do Carmo Nicoletti (Pattern Recognit. Lett., 2017)

Extending Flow Graphs for Handling Continuous-Valued Attributes. - Emilio Carlos Rodrigues; Maria do Carmo Nicoletti (HIS, 2018)

Approaching miRNA Family Classification Through Constructive Neural Networks. - João R. Bertini; Viviani Akemi Kasahara; Maria C. Nicoletti (IJCNN, 2018)

Favoring the k-Means Algorithm with Initialization Methods. - Anderson Francisco de Oliveira; Maria do Carmo Nicoletti (ISDA (1), 2018)

Attribute-Based Decision Graphs and Their Roles in Machine Learning Related Tasks. - João Roberto Bertini Junior; Maria do Carmo Nicoletti (Advances in Feature Selection for Data and Pattern Recognition, 2018)

Reducing Data Volume in Instance Based Learning. - Maria do Carmo Nicoletti; Luis Andre Claudiano (HIS, 2019)

A Proposal Based on Instance Typicality for Dealing with Nominal Attribute Values in Instance-Based Learning Environments. - S. V. Gonçalves; Maria C. Nicoletti (ISDA, 2019)

Flow graphs as data structures for inducing classifiers. - Maria do Carmo Nicoletti; Emilio Carlos Rodrigues (Int. J. Hybrid Intell. Syst., 2019)

An iterative boosting-based ensemble for streaming data classification. - João Roberto Bertini Junior; Maria do Carmo Nicoletti (Inf. Fusion, 2019)

Using the concept of instance typicality in instance-based learning environments involving nominal attributes. - S. V. Gonçalves; Maria do Carmo Nicoletti (Int. J. Hybrid Intell. Syst., 2020)

Empirical evaluation of five algorithms for the initialization phase of the k-Means algorithm. - Maria do Carmo Nicoletti; Anderson Francisco de Oliveira (Int. J. Hybrid Intell. Syst., 2020)

Effect of the Municipal Human Development Index on the results of the 2018 Brazilian presidential elections. - Eduardo Javier Huerta Yero; Nilton Cesar Sacco; Maria do Carmo Nicoletti (Expert Syst. Appl., 2021)

Analyzing Electoral Data Using Partitional and Hierarchical Clustering Algorithms. - Paulo Rogerio Nietto; Maria do Carmo Nicoletti; Nilton Cesar Sacco (ISDA (1), 2022)

Comparing yinyang and fission-fusion algorithms for accelerating the k-means. - Marcelo Kuchar Matte; Maria do Carmo Nicoletti (Int. J. Knowl. Learn., 2024)