João Roberto Bertini Jr.

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 8

Top Topics

Imputation Methods

Genetic Algorithm

Top Venues

Expert Syst. Appl.

IEEE Congress on Evolutionary Computation

Publications

Washington Burkart Freitas, João Roberto Bertini Jr.
Random walk through a stock network and predictive analysis for portfolio optimization. Expert Syst. Appl. 218 (2023)
Ariel Tadeu da Silva, João Roberto Bertini Jr.
Using the K-associated Optimal Graph to Provide Counterfactual Explanations. FUZZ-IEEE (2022)
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 Jr.
A methodology for enhancing data quality for classification purposes using attribute-based decision graphs. LA-CCI (2017)
Andres Bueno, Guilherme Palermo Coelho, João Roberto Bertini Jr.
Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting. BRACIS (2017)
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)
João Roberto Bertini Jr., Maria do Carmo Nicoletti
Refining constructive neural networks using functionally expanded input data. IJCNN (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)
João Roberto Bertini Jr., Liang Zhao, Alneu de Andrade Lopes
An incremental learning algorithm based on the K-associated graph for non-stationary data classification. Inf. Sci. 246 (2013)
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 (2013)
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) (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 Roberto Bertini Jr., Liang Zhao
A Purity Measure Based Transductive Learning Algorithm. ISNN (2) (2013)
João Roberto Bertini Jr., Alneu de Andrade Lopes, Liang Zhao
Partially labeled data stream classification with the semi-supervised K-associated graph. J. Braz. Comput. Soc. 18 (4) (2012)
João Roberto Bertini Jr., Liang Zhao, Robson Motta, Alneu de Andrade Lopes
A nonparametric classification method based on K-associated graphs. Inf. Sci. 181 (24) (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)
Liang Zhao, Thiago Henrique Cupertino, João Roberto Bertini Jr.
Chaotic synchronization in general network topology for scene segmentation. Neurocomputing 71 (16-18) (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)
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)
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)