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ORCIDJoão Roberto Bertini Jr.
Person information
- affiliation: Universidade Estadual de Campinas
- affiliation: Universidade de São Paulo
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2020 – today
- 2023
[j16]Washington Burkart Freitas
, João Roberto Bertini Jr.:
Random walk through a stock network and predictive analysis for portfolio optimization. Expert Syst. Appl. 218: 119597 (2023)- 2022
- [c21]João Roberto Bertini Junior, Alberto Cano:
An Explainable Classifier based on Genetically Evolved Graph Structures. CEC 2022: 1-8 - [c20]Ariel Tadeu da Silva, João Roberto Bertini Jr.:
Using the K-associated Optimal Graph to Provide Counterfactual Explanations. FUZZ-IEEE 2022: 1-8 - 2021
- [c19]Washington Burkart Freitas, João Roberto Bertini Junior:
Tactical Asset Allocation Through Random Walk on Stock Network. BRACIS (1) 2021: 528-542 - 2020
- [j15]Andres Bueno, Guilherme Palermo Coelho, João Roberto Bertini Junior:
Dynamic ensemble mechanisms to improve particulate matter forecasting. Appl. Soft Comput. 91: 106123 (2020) - [j14]João Roberto Bertini Junior:
Graph embedded rules for explainable predictions in data streams. Neural Networks 129: 174-192 (2020)
2010 – 2019
- 2019
- [j13]João Roberto Bertini Junior, Maria do Carmo Nicoletti:
An iterative boosting-based ensemble for streaming data classification. Inf. Fusion 45: 66-78 (2019) - [c18]João Roberto Bertini Junior:
A Discretization-based Ensemble Learning Method for Classification in High-Speed Data Streams. IJCNN 2019: 1-8 - [c17]João Roberto Bertini Junior, Mei Abe Funcia, Antonio Alberto S. Santos, Denis J. Schiozer:
A comparison of machine learning algorithms as surrogate model for net present value prediction from wells arrangement data. IJCNN 2019: 1-8 - 2018
- [c16]João R. Bertini, Viviani Akemi Kasahara, Maria C. Nicoletti:
Approaching miRNA Family Classification Through Constructive Neural Networks. IJCNN 2018: 1-8 - [p3]João Roberto Bertini Junior, Maria do Carmo Nicoletti:
Attribute-Based Decision Graphs and Their Roles in Machine Learning Related Tasks. Advances in Feature Selection for Data and Pattern Recognition 2018: 53-71 - 2017
- [j12]João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao:
Attribute-based Decision Graphs: A framework for multiclass data classification. Neural Networks 85: 69-84 (2017) - [j11]João Roberto Bertini Junior, Maria do Carmo Nicoletti:
Enhancing classification performance using attribute-oriented functionally expanded data. Pattern Recognit. Lett. 89: 39-45 (2017) - [c15]Andres Bueno, Guilherme Palermo Coelho, João Roberto Bertini Jr.:
Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting. BRACIS 2017: 169-174 - [c14]João Roberto Bertini Jr.:
A methodology for enhancing data quality for classification purposes using attribute-based decision graphs. LA-CCI 2017: 1-6 - 2016
- [j10]João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao:
An embedded imputation method via Attribute-based Decision Graphs. Expert Syst. Appl. 57: 159-177 (2016) - [j9]João Roberto Bertini Junior, Maria do Carmo Nicoletti:
Enhancing Constructive Neural Network Performance Using Functionally Expanded Input Data. J. Artif. Intell. Soft Comput. Res. 6(2): 119 (2016) - [c13]João Roberto Bertini Jr., Maria do Carmo Nicoletti:
A genetic algorithm for improving the induction of attribute-based decision graph classifiers. CEC 2016: 4104-4110 - [c12]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: 1849-1856 - 2015
- [c11]João Roberto Bertini Jr., Maria do Carmo Nicoletti:
Refining constructive neural networks using functionally expanded input data. IJCNN 2015: 1-8 - 2014
- [c10]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: 109-114 - [c9]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: 1100-1106 - 2013
- [j8]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: 58-73 (2013) - [j7]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): 228-248 (2013) - [j6]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: 52-68 (2013) - [c8]João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao:
Attribute-based Decision Graphs for multiclass data classification. IEEE Congress on Evolutionary Computation 2013: 1779-1785 - [c7]João R. Bertini, Maria do Carmo Nicoletti, Liang Zhao:
Ensemble of complete P-partite graph classifiers for non-stationary environments. IEEE Congress on Evolutionary Computation 2013: 1802-1809 - [c6]João Roberto Bertini Jr., Liang Zhao:
A Purity Measure Based Transductive Learning Algorithm. ISNN (2) 2013: 405-412 - 2012
- [j5]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): 299-310 (2012) - 2011
- [b1]João Roberto Bertini Junior:
Graph-based classification for stationary and non-stationary data. University of São Paulo, Brazil, 2011 - [j4]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): 5435-5456 (2011) - [c5]Maria do Carmo Nicoletti, João Roberto Bertini Jr., Osvaldo Luiz De Oliveira:
Interpreting Hidden Neurons in Boolean Constructive Neural Networks. IDEAL 2011: 34-41 - 2010
- [j3]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): 161-183 (2010)
2000 – 2009
- 2009
- [c4]Alneu de Andrade Lopes, João R. Bertini, Robson Motta, Liang Zhao:
Classification Based on the Optimal K-Associated Network. Complex (1) 2009: 1167-1177 - [p2]Maria do Carmo Nicoletti, João Roberto Bertini Jr., David A. Elizondo, Leonardo Franco, José M. Jerez:
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. Constructive Neural Networks 2009: 1-23 - [p1]João Roberto Bertini Jr., Maria do Carmo Nicoletti:
A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability. Constructive Neural Networks 2009: 145-169 - 2008
- [j2]Liang Zhao, Thiago Henrique Cupertino, João Roberto Bertini Jr.:
Chaotic synchronization in general network topology for scene segmentation. Neurocomputing 71(16-18): 3360-3366 (2008) - [c3]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: 723-733 - 2006
- [j1]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): 609-638 (2006) - [c2]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: 49 - [c1]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: 3497-3502
Coauthor Index
aka: Maria C. Nicoletti
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