Luiz C. B. Torres
Orcid: 0000-0002-4991-8395
According to our database1,
Luiz C. B. Torres
authored at least 29 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Graph-based method for autonomous adaptation in online learning of non-stationary data.
Inf. Sci., 2025
2024
Neural Process. Lett., December, 2024
Improved Design for Hardware Implementation of Graph-Based Large Margin Classifiers for Embedded Edge Computing.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings.
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024
2023
Inf. Sci., May, 2023
RBF Neural Networks Design with Graph Based Structural Information from Dominating Sets.
Neural Process. Lett., 2023
2022
Wearables and Detection of Falls: A Comparison of Machine Learning Methods and Sensors Positioning.
Neural Process. Lett., 2022
Multi-objective neural network model selection with a graph-based large margin approach.
Inf. Sci., 2022
Deep architecture for silica forecasting of a real industrial froth flotation process.
Eng. Appl. Artif. Intell., 2022
Time domain graph-based anomaly detection approach applied to a real industrial problem.
Comput. Ind., 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
2020
A fuzzy data reduction cluster method based on boundary information for large datasets.
Neural Comput. Appl., 2020
Combined weightless neural network FPGA architecture for deforestation surveillance and visual navigation of UAVs.
Eng. Appl. Artif. Intell., 2020
Embedded real-time feature extraction for electrode inversion detection in telemedicine electrocardiograms.
Biomed. Signal Process. Control., 2020
2019
Data density-based clustering for regularized fuzzy neural networks based on nullneurons and robust activation function.
Soft Comput., 2019
Width optimization of RBF kernels for binary classification of support vector machines: A density estimation-based approach.
Pattern Recognit. Lett., 2019
Pulsar Detection for Wavelets SODA and Regularized Fuzzy Neural Networks Based on Andneuron and Robust Activation Function.
Int. J. Artif. Intell. Tools, 2019
Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Learning Regularization Parameters of Radial Basis Functions in Embedded Likelihoods Space.
Proceedings of the Progress in Artificial Intelligence, 2019
Proceedings of the 6th International Conference on Control, 2019
Regularization of Extreme Learning Machines with information of spatial relations of the projected data.
Proceedings of the 6th International Conference on Control, 2019
2018
Proceedings of the Fuzzy Information Processing, 2018
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018
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
2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012