Cristiano Leite Castro

According to our database, Cristiano Leite Castro authored at least 23 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., January, 2024

2023

Concept drift detection with quadtree-based spatial mapping of streaming data.

Rodrigo Amador Coelho, Luiz Carlos Bambirra Torres, Cristiano Leite de Castro

Inf. Sci., May, 2023

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

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

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

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

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

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

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

Time Series Imputation by Nature and by Decomposition.

Silvana Mara Ribeiro, Cristiano Leite de Castro

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

2020

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

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

Semi-supervised relevance index for feature selection.

Frederico Coelho, Cristiano Leite Castro, Antônio P. Braga, Michel Verleysen

Neural Comput. Appl., 2019

2016

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

2015

A parameterless mixture model for large margin classification.

Luiz C. B. Torres, Cristiano Leite Castro, Antônio P. Braga

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian Approach.

Luiz C. B. Torres, Cristiano Leite Castro, Antônio P. Braga

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

A Geometrical Approach for Parameter Selection of Radial Basis Functions Networks.

Luiz C. B. Torres, André P. Lemos, Cristiano Leite Castro, Antônio P. Braga

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

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

2012

A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks.

Luiz C. B. Torres, Cristiano Leite Castro, Antônio de Pádua Braga

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm.

Cristiano Leite Castro, Antônio de Pádua Braga

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2009

Artificial Neural Networks Learning in ROC Space.

Cristiano Leite Castro, Antônio de Pádua Braga

Proceedings of the IJCCI 2009, 2009

An Improved Algorithm for SVMs Classification of Imbalanced Data Sets.

Cristiano Leite Castro, Mateus Araujo Carvalho, Antônio de Pádua Braga

Proceedings of the Engineering Applications of Neural Networks, 2009

2008

Optimization of the Area under the ROC Curve.

Cristiano Leite Castro, Antônio de Pádua Braga

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008