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ORCIDCristiano Leite Castro
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2020 – today
- 2024
[j15]João P. K. Ferreira
, João P. L. Pinto, Júlia S. Moura, Cristiano Leite Castro:
A Novel Unsupervised Approach for Training Convolutional DSSNs on Remote Sensing. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j14]Janier Arias-Garcia, Alan Cândido de Souza, Liliane Gade, Jones Yudi Mori, Frederico Coelho, Cristiano Leite Castro, Luiz C. B. Torres, Antônio P. Braga:
Improved Design for Hardware Implementation of Graph-Based Large Margin Classifiers for Embedded Edge Computing. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1320-1329 (2024) - 2023
- [j13]Rodrigo Amador Coelho, Luiz Carlos Bambirra Torres, Cristiano Leite de Castro:
Concept drift detection with quadtree-based spatial mapping of streaming data. Inf. Sci. 625: 578-592 (2023) - 2022
- [j12]Juan Camilo Fonseca Galindo, Gabriela de Castro Surita, José Maia Neto, Cristiano Leite de Castro, André Paim Lemos:
A multi-agent system for solving the Dynamic Capacitated Vehicle Routing Problem with stochastic customers using trajectory data mining. Expert Syst. Appl. 195: 116602 (2022) - [j11]Carlos Anderson Oliveira Silva, Rafael Gonzalez-Otero, Michel Bessani, Liliana Otero Mendoza, Cristiano Leite de Castro:
Interpretable risk models for Sleep Apnea and Coronary diseases from structured and non-structured data. Expert Syst. Appl. 200: 116955 (2022) - [j10]Luiz C. B. Torres, Cristiano Leite Castro, Honovan P. Rocha, Gustavo Matheus de Almeida, Antônio P. Braga:
Multi-objective neural network model selection with a graph-based large margin approach. Inf. Sci. 599: 192-207 (2022) - [j9]Brayan Rene Acevedo Jaimes, João Pedro Klock Ferreira, Cristiano Leite Castro:
Unsupervised Semantic Segmentation of Aerial Images With Application to UAV Localization. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j8]Yuri Sousa Aurelio, Gustavo Matheus de Almeida, Cristiano Leite de Castro, Antônio de Pádua Braga:
Cost-Sensitive Learning based on Performance Metric for Imbalanced Data. Neural Process. Lett. 54(4): 3097-3114 (2022) - 2021
- [j7]Janier Arias-Garcia, Augusto Mafra, Liliane Gade, Frederico Coelho, Cristiano Leite Castro, Luiz C. B. Torres, Antônio de Pádua Braga:
Enhancing Performance of Gabriel Graph-Based Classifiers by a Hardware Co-Processor for Embedded System Applications. IEEE Trans. Ind. Informatics 17(2): 1186-1196 (2021) - [j6]Luiz C. B. Torres, Cristiano Leite Castro, Frederico Coelho, Antônio P. Braga:
Large Margin Gaussian Mixture Classifier With a Gabriel Graph Geometric Representation of Data Set Structure. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1400-1406 (2021) - [c9]Silvana Mara Ribeiro, Cristiano Leite de Castro:
Time Series Imputation by Nature and by Decomposition. LA-CCI 2021: 1-6 - 2020
- [j5]José Maia, Carlos Alberto Severiano Junior, Frederico Gadelha Guimarães, Cristiano Leite Castro, André Paim Lemos, Juan Camilo Fonseca Galindo, Miri Weiss-Cohen:
Evolving clustering algorithm based on mixture of typicalities for stream data mining. Future Gener. Comput. Syst. 106: 672-684 (2020) - [i1]Juan Camilo Fonseca Galindo, Gabriela de Castro Surita, José Maia Neto, Cristiano Leite de Castro, André Paim Lemos:
A Multi-Agent System for Solving the Dynamic Capacitated Vehicle Routing Problem with Stochastic Customers using Trajectory Data Mining. CoRR abs/2009.12691 (2020)
2010 – 2019
- 2019
- [j4]Frederico Coelho, Cristiano Leite Castro, Antônio P. Braga, Michel Verleysen:
Semi-supervised relevance index for feature selection. Neural Comput. Appl. 31(S-2): 989-997 (2019) - [j3]Yuri Sousa Aurelio, Gustavo Matheus de Almeida, Cristiano Leite Castro, Antônio de Pádua Braga:
Learning from Imbalanced Data Sets with Weighted Cross-Entropy Function. Neural Process. Lett. 50(2): 1937-1949 (2019) - 2016
- [j2]Carlos Anderson Oliveira Silva, Gustavo Augusto Mascarenhas Goltz, Elcio Hideiti Shiguemori, Cristiano Leite de Castro, Haroldo F. de Campos Velho, Antônio de Pádua Braga:
Image matching applied to autonomous navigation of unmanned aerial vehicles. Int. J. High Perform. Syst. Archit. 6(4): 205-212 (2016) - 2015
- [c8]Luiz C. B. Torres, Cristiano Leite Castro, Antônio P. Braga:
Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian Approach. ESANN 2015 - [c7]Luiz C. B. Torres, Cristiano Leite Castro, Antônio P. Braga:
A parameterless mixture model for large margin classification. IJCNN 2015: 1-6 - 2014
- [c6]Luiz C. B. Torres, André P. Lemos, Cristiano Leite Castro, Antônio P. Braga:
A Geometrical Approach for Parameter Selection of Radial Basis Functions Networks. ICANN 2014: 531-538 - 2013
- [j1]Cristiano Leite Castro, Antônio de Pádua Braga:
Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data. IEEE Trans. Neural Networks Learn. Syst. 24(6): 888-899 (2013) - 2012
- [c5]Luiz C. B. Torres, Cristiano Leite Castro, Antônio de Pádua Braga:
A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks. ICANN (2) 2012: 100-107 - [c4]Cristiano Leite Castro, Antônio de Pádua Braga:
Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm. ICANN (2) 2012: 314-321
2000 – 2009
- 2009
- [c3]Cristiano Leite Castro, Mateus Araujo Carvalho, Antônio de Pádua Braga:
An Improved Algorithm for SVMs Classification of Imbalanced Data Sets. EANN 2009: 108-118 - [c2]Cristiano Leite Castro, Antônio de Pádua Braga:
Artificial Neural Networks Learning in ROC Space. IJCCI 2009: 484-489 - 2008
- [c1]Cristiano Leite Castro, Antônio de Pádua Braga:
Optimization of the Area under the ROC Curve. SBRN 2008: 141-146
Coauthor Index
aka: Antônio P. Braga
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