J. R. Bertini

发表

Using the K-associated Optimal Graph to Provide Counterfactual Explanations

Ariel Tadeu da Silva, J. R. Bertini, 2022, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Partially labeled data stream classification with the semi-supervised K-associated graph

Liang Zhao, A. Lopes, J. R. Bertini, 2012, Journal of the Brazilian Computer Society.

Attribute-based Decision Graphs: A framework for multiclass data classification

Maria do Carmo Nicoletti, Liang Zhao, João Roberto Bertini, 2017, Neural Networks.

An embedded imputation method via Attribute-based Decision Graphs

Maria do Carmo Nicoletti, Liang Zhao, João Roberto Bertini, 2016, Expert Syst. Appl..

Classification Based on the Optimal K-Associated Network

Alneu de Andrade Lopes, Liang Zhao, João Roberto Bertini, 2009, Complex.

Approaching miRNA Family Classification Through Constructive Neural Networks

Maria do Carmo Nicoletti, João Roberto Bertini, Viviani Akemi Kasahara, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A Comparison of Two Purity-Based Algorithms When Applied to Semi-supervised Streaming Data Classification

Liang Zhao, Joao Roberto Bertini, Liang Zhao, 2013, 2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence.

A Purity Measure Based Transductive Learning Algorithm

Liang Zhao, João Roberto Bertini, Liang Zhao, 2013, ISNN.

Ensemble of complete P-partite graph classifiers for non-stationary environments

Maria do Carmo Nicoletti, Liang Zhao, João Roberto Bertini, 2013, 2013 IEEE Congress on Evolutionary Computation.

Attribute-based Decision Graphs for multiclass data classification

Maria do Carmo Nicoletti, Liang Zhao, João Roberto Bertini, 2013, 2013 IEEE Congress on Evolutionary Computation.

A methodology for enhancing data quality for classification purposes using attribute-based decision graphs

João Roberto Bertini, J. R. Bertini, 2017, 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

A genetic algorithm for improving the induction of attribute-based decision graph classifiers

Maria do Carmo Nicoletti, João Roberto Bertini, M. C. Nicoletti, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Streaming Data Classification with the K-associated Graph

Liang Zhao, João R. Bertini, Alneu de Andrade Lopes, 2016 .

On-line prediction of the feeding phase in high-cell density cultivation of rE. coli using constructive neural networks

Maria do Carmo Nicoletti, João Roberto Bertini, Roberto de Campos Giordano, 2013, Comput. Methods Programs Biomed..

Random walk through a stock network and predictive analysis for portfolio optimization

J. R. Bertini, Washington Burkart Freitas, 2023, Expert Syst. Appl..

Chaotic synchronization in general network topology for scene segmentation

Liang Zhao, Thiago Henrique Cupertino, João Roberto Bertini, 2008, Neurocomputing.

Methodology for inferring kinetic parameters of diesel oil HDS reactions based on scarce experimental data

Maria do Carmo Nicoletti, João Roberto Bertini, Roberto de Campos Giordano, 2013, Comput. Chem. Eng..

A nonparametric classification method based on K-associated graphs

Liang Zhao, João Roberto Bertini, Robson Motta, 2011, Inf. Sci..

A comparison of machine learning surrogate models for net present value prediction from well placement binary data

Denis José Schiozer, João Roberto Bertini, Antonio Alberto S. Santos, 2021, Journal of Petroleum Science and Engineering.

Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks

Maria do Carmo Nicoletti, David A. Elizondo, Leonardo Franco, 2009, Constructive Neural Networks.

An empirical evaluation of constructive neural network algorithms in classification tasks

Maria do Carmo Nicoletti, M. C. Nicoletti, Joao R. Bertini, 2007 .