João Roberto Bertini

发表

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.

A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms

Estevam R. Hruschka, Maria do Carmo Nicoletti, João Roberto Bertini, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting

Guilherme Palermo Coelho, João Roberto Bertini, Andres Bueno, 2017, 2017 Brazilian Conference on Intelligent Systems (BRACIS).

Stock Closing Price Forecasting Using Ensembles of Constructive Neural Networks

Maria do Carmo Nicoletti, Almir Olivette Artero, João Roberto Bertini, 2014, 2014 Brazilian Conference on Intelligent Systems.

Attribute-based Decision Graphs for multiclass data classification

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

An embedded imputation method via Attribute-based Decision Graphs

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

A two-class constructive neural network algorithm for continuous domains: the OffTiling algorithm

Maria do Carmo Nicoletti, João Roberto Bertini, 2010, Int. J. Knowl. Eng. Data Min..

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

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

USING CONSTRUCTIVE NEURAL NETWORKS FOR DETECTING CENTRAL VESTIBULAR SYSTEM LESION

Maria do Carmo Nicoletti, João Roberto Bertini, Luiz Garcia Palma Neto, 2006, Appl. Artif. Intell..

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..

Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks

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

Interpreting Hidden Neurons in Boolean Constructive Neural Networks

Maria do Carmo Nicoletti, Osvaldo Luiz De Oliveira, João Roberto Bertini, 2011, IDEAL.

A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability

Maria do Carmo Nicoletti, João Roberto Bertini, 2009, Constructive Neural Networks.

Two Variants of the Constructive Neural Network Tiling Algorithm

Estevam R. Hruschka, Maria do Carmo Nicoletti, João Roberto Bertini, 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).

A Purity Measure Based Transductive Learning Algorithm

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

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).

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..

Functionally expanded streaming data as input to classification processes using ensembles of constructive neural networks

Maria do Carmo Nicoletti, João Roberto Bertini, 2016, IJCNN.

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

Alneu de Andrade Lopes, Liang Zhao, João Roberto Bertini, 2012, Journal of the Brazilian Computer Society.

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).

Refining constructive neural networks using functionally expanded input data

Maria do Carmo Nicoletti, João Roberto Bertini, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

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).

Chaotic synchronization in general network topology for scene segmentation

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

Classification Based on the Optimal K-Associated Network

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

MBabCoNN - A Multiclass Version of a Constructive Neural Network Algorithm Based on Linear Separability and Convex Hull

Maria do Carmo Nicoletti, João Roberto Bertini, 2008, ICANN.

An incremental learning algorithm based on the K-associated graph for non-stationary data classification

Alneu de Andrade Lopes, Liang Zhao, João Roberto Bertini, 2013, Inf. Sci..

Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs

Maria do Carmo Nicoletti, Liang Zhao, João Roberto Bertini, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

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.