Luiz C. B. Torres

Orcid: 0000-0002-4991-8395

According to our database1, Luiz C. B. Torres authored at least 26 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

2023
Concept drift detection with quadtree-based spatial mapping of streaming data.
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

Neural Networks Regularization With Graph-Based Local Resampling.
IEEE Access, 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

Gabriel Graph Transductive Approach to Dataset Shift.
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
Regularized Fuzzy Neural Network Based on Or Neuron for Time Series Forecasting.
Proceedings of the Fuzzy Information Processing, 2018

Uninorm based regularized fuzzy neural networks.
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2015
A parameterless mixture model for large margin classification.
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
A Geometrical Approach for Parameter Selection of Radial Basis Functions Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2012
A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012


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