Two Variants of the Constructive Neural Network Tiling Algorithm. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Estevam R. Hruschka Jr.; Arthur Ramer (HIS, 2006)

A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Estevam R. Hruschka Jr. (SMC, 2006)

Using Constructive Neural Networks for Detecting Central Vestibular System Lesion. - Lucas Baggio Figueira; Luiz Garcia Palma Neto; João Roberto Bertini Jr.; Maria do Carmo Nicoletti (Appl. Artif. Intell., 2006)

MBabCoNN - A Multiclass Version of a Constructive Neural Network Algorithm Based on Linear Separability and Convex Hull. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti (ICANN (2), 2008)

Chaotic synchronization in general network topology for scene segmentation. - Liang Zhao 001; Thiago Henrique Cupertino; João Roberto Bertini Jr. (Neurocomputing, 2008)

Classification Based on the Optimal K-Associated Network. - Alneu de Andrade Lopes; João R. Bertini; Robson Motta; Liang Zhao 001 (Complex (1), 2009)

A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti (Constructive Neural Networks, 2009)

Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. - Maria do Carmo Nicoletti; João Roberto Bertini Jr.; David A. Elizondo; Leonardo Franco; José M. Jerez (Constructive Neural Networks, 2009)

A two-class constructive neural network algorithm for continuous domains: the OffTiling algorithm. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti (Int. J. Knowl. Eng. Data Min., 2010)

Interpreting Hidden Neurons in Boolean Constructive Neural Networks. - Maria do Carmo Nicoletti; João Roberto Bertini Jr.; Osvaldo Luiz De Oliveira (IDEAL, 2011)

A nonparametric classification method based on K-associated graphs. - João Roberto Bertini Jr.; Liang Zhao 001; Robson Motta; Alneu de Andrade Lopes (Inf. Sci., 2011)

Graph-based classification for stationary and non-stationary data. - João Roberto Bertini Junior (2011)

Partially labeled data stream classification with the semi-supervised K-associated graph. - João Roberto Bertini Jr.; Alneu de Andrade Lopes; Liang Zhao 001 (J. Braz. Comput. Soc., 2012)

Ensemble of complete P-partite graph classifiers for non-stationary environments. - João R. Bertini; Maria do Carmo Nicoletti; Liang Zhao 001 (IEEE Congress on Evolutionary Computation, 2013)

Attribute-based Decision Graphs for multiclass data classification. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Liang Zhao 001 (IEEE Congress on Evolutionary Computation, 2013)

A Purity Measure Based Transductive Learning Algorithm. - João Roberto Bertini Jr.; Liang Zhao 001 (ISNN (2), 2013)

Methodology for inferring kinetic parameters of diesel oil HDS reactions based on scarce experimental data. - A. S. Ferreira; Maria C. Nicoletti; João Roberto Bertini Jr.; Roberto de Campos Giordano (Comput. Chem. Eng., 2013)

On-line prediction of the feeding phase in high-cell density cultivation of rE. coli using constructive neural networks. - Maria C. Nicoletti; João Roberto Bertini Jr.; M. M. Tanizaki; Teresa C. Zangirolami; Viviane M. Gonçalves; Antonio C. L. Horta; Roberto de Campos Giordano (Comput. Methods Programs Biomed., 2013)

An incremental learning algorithm based on the K-associated graph for non-stationary data classification. - João Roberto Bertini Jr.; Liang Zhao 001; Alneu de Andrade Lopes (Inf. Sci., 2013)

Stock Closing Price Forecasting Using Ensembles of Constructive Neural Networks. - Rafael Stoffalette Joao; Tarcisio Fonseca Guidoni; João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Almir Olivette Artero (BRACIS, 2014)

Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Liang Zhao 001 (IJCNN, 2014)

Refining constructive neural networks using functionally expanded input data. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti (IJCNN, 2015)

A genetic algorithm for improving the induction of attribute-based decision graph classifiers. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti (CEC, 2016)

Functionally expanded streaming data as input to classification processes using ensembles of constructive neural networks. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti (IJCNN, 2016)

An embedded imputation method via Attribute-based Decision Graphs. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Liang Zhao 001 (Expert Syst. Appl., 2016)

Enhancing Constructive Neural Network Performance Using Functionally Expanded Input Data. - João Roberto Bertini Junior; Maria do Carmo Nicoletti (J. Artif. Intell. Soft Comput. Res., 2016)

Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting. - Andres Bueno; Guilherme Palermo Coelho; João Roberto Bertini Jr. (BRACIS, 2017)

A methodology for enhancing data quality for classification purposes using attribute-based decision graphs. - João Roberto Bertini Jr. (LA-CCI, 2017)

Attribute-based Decision Graphs: A framework for multiclass data classification. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Liang Zhao 001 (Neural Networks, 2017)

Enhancing classification performance using attribute-oriented functionally expanded data. - João Roberto Bertini Junior; Maria do Carmo Nicoletti (Pattern Recognit. Lett., 2017)

Approaching miRNA Family Classification Through Constructive Neural Networks. - João R. Bertini; Viviani Akemi Kasahara; Maria C. Nicoletti (IJCNN, 2018)

Attribute-Based Decision Graphs and Their Roles in Machine Learning Related Tasks. - João Roberto Bertini Junior; Maria do Carmo Nicoletti (Advances in Feature Selection for Data and Pattern Recognition, 2018)

A Discretization-based Ensemble Learning Method for Classification in High-Speed Data Streams. - João Roberto Bertini Junior (IJCNN, 2019)

A comparison of machine learning algorithms as surrogate model for net present value prediction from wells arrangement data. - João Roberto Bertini Junior; Mei Abe Funcia; Antonio Alberto S. Santos; Denis J. Schiozer (IJCNN, 2019)

An iterative boosting-based ensemble for streaming data classification. - João Roberto Bertini Junior; Maria do Carmo Nicoletti (Inf. Fusion, 2019)

Dynamic ensemble mechanisms to improve particulate matter forecasting. - Andres Bueno; Guilherme Palermo Coelho; João Roberto Bertini Junior (Appl. Soft Comput., 2020)

Graph embedded rules for explainable predictions in data streams. - João Roberto Bertini Junior (Neural Networks, 2020)

Tactical Asset Allocation Through Random Walk on Stock Network. - Washington Burkart Freitas; João Roberto Bertini Junior (BRACIS (1), 2021)

An Explainable Classifier based on Genetically Evolved Graph Structures. - João Roberto Bertini Junior; Alberto Cano 001 (CEC, 2022)

Using the K-associated Optimal Graph to Provide Counterfactual Explanations. - Ariel Tadeu da Silva; João Roberto Bertini Jr. (FUZZ-IEEE, 2022)

Random walk through a stock network and predictive analysis for portfolio optimization. - Washington Burkart Freitas; João Roberto Bertini Jr. (Expert Syst. Appl., 2023)

Enhancing rate of penetration prediction in drilling operations: A data stream framework approach. - João Roberto Bertini Jr.; Bahram Lavi (Eng. Appl. Artif. Intell., 2025)