João Roberto Bertini Jr.

Orcid: 0000-0002-1679-3151

Affiliations:
  • Universidade Estadual de Campinas
  • Universidade de São Paulo


According to our database1, João Roberto Bertini Jr. authored at least 22 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Using the K-associated Optimal Graph to Provide Counterfactual Explanations.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

An Explainable Classifier based on Genetically Evolved Graph Structures.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Tactical Asset Allocation Through Random Walk on Stock Network.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2019
A comparison of machine learning algorithms as surrogate model for net present value prediction from wells arrangement data.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Discretization-based Ensemble Learning Method for Classification in High-Speed Data Streams.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Approaching miRNA Family Classification Through Constructive Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
A methodology for enhancing data quality for classification purposes using attribute-based decision graphs.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Functionally expanded streaming data as input to classification processes using ensembles of constructive neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A genetic algorithm for improving the induction of attribute-based decision graph classifiers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Refining constructive neural networks using functionally expanded input data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Stock Closing Price Forecasting Using Ensembles of Constructive Neural Networks.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
A Purity Measure Based Transductive Learning Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Attribute-based Decision Graphs for multiclass data classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Ensemble of complete P-partite graph classifiers for non-stationary environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2011
Graph-based classification for stationary and non-stationary data.
PhD thesis, 2011

Interpreting Hidden Neurons in Boolean Constructive Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2009
Classification Based on the Optimal K-Associated Network.
Proceedings of the Complex Sciences, 2009

2008
MBabCoNN - A Multiclass Version of a Constructive Neural Network Algorithm Based on Linear Separability and Convex Hull.
Proceedings of the Artificial Neural Networks, 2008

2006
A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms.
Proceedings of the IEEE International Conference on Systems, 2006

Two Variants of the Constructive Neural Network Tiling Algorithm.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006


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