Cristiano Leite Castro
Orcid: 0000-0003-3028-8597
According to our database1,
Cristiano Leite Castro
authored at least 25 papers
between 2008 and 2024.
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Online presence:
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Bibliography
2024
Improved Design for Hardware Implementation of Graph-Based Large Margin Classifiers for Embedded Edge Computing.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
IEEE Geosci. Remote. Sens. Lett., 2024
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024
2023
Inf. Sci., May, 2023
2022
Neural Process. Lett., 2022
Unsupervised Semantic Segmentation of Aerial Images With Application to UAV Localization.
IEEE Geosci. Remote. Sens. Lett., 2022
Multi-objective neural network model selection with a graph-based large margin approach.
Inf. Sci., 2022
Interpretable risk models for Sleep Apnea and Coronary diseases from structured and non-structured data.
Expert Syst. Appl., 2022
A multi-agent system for solving the Dynamic Capacitated Vehicle Routing Problem with stochastic customers using trajectory data mining.
Expert Syst. Appl., 2022
2021
Large Margin Gaussian Mixture Classifier With a Gabriel Graph Geometric Representation of Data Set Structure.
IEEE Trans. Neural Networks Learn. Syst., 2021
Enhancing Performance of Gabriel Graph-Based Classifiers by a Hardware Co-Processor for Embedded System Applications.
IEEE Trans. Ind. Informatics, 2021
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021
2020
Evolving clustering algorithm based on mixture of typicalities for stream data mining.
Future Gener. Comput. Syst., 2020
2019
Neural Process. Lett., 2019
2016
Int. J. High Perform. Syst. Archit., 2016
2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian Approach.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
2014
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.
IEEE Trans. Neural Networks Learn. Syst., 2013
2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
2009
Artificial Neural Networks Learning in ROC Space.
Proceedings of the IJCCI 2009, 2009
Proceedings of the Engineering Applications of Neural Networks, 2009
2008
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008