Optimization of the Area under the ROC Curve. - Cristiano Leite Castro; Antônio de Pádua Braga (SBRN, 2008)

An Improved Algorithm for SVMs Classification of Imbalanced Data Sets. - Cristiano Leite Castro; Mateus Araujo Carvalho; Antônio de Pádua Braga (EANN, 2009)

Artificial Neural Networks Learning in ROC Space. - Cristiano Leite Castro; Antônio de Pádua Braga (IJCCI, 2009)

Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm. - Cristiano Leite Castro; Antônio de Pádua Braga (ICANN (2), 2012)

A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks. - Luiz C. B. Torres; Cristiano Leite Castro; Antônio de Pádua Braga (ICANN (2), 2012)

Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data. - Cristiano Leite Castro; Antônio de Pádua Braga (IEEE Trans. Neural Networks Learn. Syst., 2013)

A Geometrical Approach for Parameter Selection of Radial Basis Functions Networks. - Luiz C. B. Torres; André P. Lemos; Cristiano Leite Castro; Antônio P. Braga (ICANN, 2014)

Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian Approach. - Luiz C. B. Torres; Cristiano Leite Castro; Antônio P. Braga (ESANN, 2015)

A parameterless mixture model for large margin classification. - Luiz C. B. Torres; Cristiano Leite Castro; Antônio P. Braga (IJCNN, 2015)

Image matching applied to autonomous navigation of unmanned aerial vehicles. - Carlos Anderson Oliveira Silva; Gustavo Augusto Mascarenhas Goltz; Elcio Hideiti Shiguemori; Cristiano Leite de Castro; Haroldo F. de Campos Velho; Antônio de Pádua Braga (Int. J. High Perform. Syst. Archit., 2016)

Semi-supervised relevance index for feature selection. - Frederico Coelho; Cristiano Leite Castro; Antônio P. Braga; Michel Verleysen (Neural Comput. Appl., 2019)

Learning from Imbalanced Data Sets with Weighted Cross-Entropy Function. - Yuri Sousa Aurelio; Gustavo Matheus de Almeida; Cristiano Leite Castro; Antônio de Pádua Braga (Neural Process. Lett., 2019)

Evolving clustering algorithm based on mixture of typicalities for stream data mining. - José Maia; Carlos Alberto Severiano Junior; Frederico Gadelha Guimarães; Cristiano Leite Castro; André Paim Lemos; Juan Camilo Fonseca Galindo; Miri Weiss-Cohen (Future Gener. Comput. Syst., 2020)

Time Series Imputation by Nature and by Decomposition. - Silvana Mara Ribeiro; Cristiano Leite de Castro (LA-CCI, 2021)

Enhancing Performance of Gabriel Graph-Based Classifiers by a Hardware Co-Processor for Embedded System Applications. - Janier Arias-Garcia; Augusto Mafra; Liliane Gade; Frederico Coelho; Cristiano Leite Castro; Luiz C. B. Torres; Antônio de Pádua Braga (IEEE Trans. Ind. Informatics, 2021)

Large Margin Gaussian Mixture Classifier With a Gabriel Graph Geometric Representation of Data Set Structure. - Luiz C. B. Torres; Cristiano Leite Castro; Frederico Coelho; Antônio P. Braga (IEEE Trans. Neural Networks Learn. Syst., 2021)

A multi-agent system for solving the Dynamic Capacitated Vehicle Routing Problem with stochastic customers using trajectory data mining. - Juan Camilo Fonseca Galindo; Gabriela de Castro Surita; José Maia Neto; Cristiano Leite de Castro; André Paim Lemos (Expert Syst. Appl., 2022)

Interpretable risk models for Sleep Apnea and Coronary diseases from structured and non-structured data. - Carlos Anderson Oliveira Silva; Rafael Gonzalez-Otero; Michel Bessani; Liliana Otero Mendoza; Cristiano Leite de Castro (Expert Syst. Appl., 2022)

Multi-objective neural network model selection with a graph-based large margin approach. - Luiz C. B. Torres; Cristiano Leite Castro; Honovan P. Rocha; Gustavo Matheus de Almeida; Antônio P. Braga (Inf. Sci., 2022)

Unsupervised Semantic Segmentation of Aerial Images With Application to UAV Localization. - Brayan Rene Acevedo Jaimes; João Pedro Klock Ferreira; Cristiano Leite Castro (IEEE Geosci. Remote. Sens. Lett., 2022)

Cost-Sensitive Learning based on Performance Metric for Imbalanced Data. - Yuri Sousa Aurelio; Gustavo Matheus de Almeida; Cristiano Leite de Castro; Antônio de Pádua Braga (Neural Process. Lett., 2022)

Concept drift detection with quadtree-based spatial mapping of streaming data. - Rodrigo Amador Coelho; Luiz Carlos Bambirra Torres; Cristiano Leite de Castro (Inf. Sci., 2023)

Unsupervised Drift Detection Using Quadtree Spatial Mapping. - Bernardo A. Ramos; Cristiano Leite de Castro; Tiago A. Coelho; Plamen Angelov 001 (ESANN, 2024)

A Novel Unsupervised Approach for Training Convolutional DSSNs on Remote Sensing. - João P. K. Ferreira; João P. L. Pinto; Júlia S. Moura; Cristiano Leite Castro (IEEE Geosci. Remote. Sens. Lett., 2024)

Improved Design for Hardware Implementation of Graph-Based Large Margin Classifiers for Embedded Edge Computing. - Janier Arias-Garcia; Alan Cândido de Souza; Liliane Gade; Jones Yudi Mori; Frederico Coelho; Cristiano Leite Castro; Luiz C. B. Torres; Antônio P. Braga (IEEE Trans. Neural Networks Learn. Syst., 2024)

Vision-Based Landing Guidance Through Tracking and Orientation Estimation. - João P. K. Ferreira; João P. L. Pinto; Júlia S. Moura; Yi Li 047; Cristiano Leite Castro; Plamen Angelov 001 (WACV, 2025)