José Daniel A. Santos

According to our database, José Daniel A. Santos authored at least 8 papers between 2010 and 2017.

Collaborative distances:

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

2017

A regularized estimation framework for online sparse LSSVR models.

José Daniel A. Santos, Guilherme A. Barreto

Neurocomputing, 2017

2015

Performance Evaluation of Least Squares SVR in Robust Dynamical System Identification.

José Daniel A. Santos, César Lincoln C. Mattos, Guilherme A. Barreto

Proceedings of the Advances in Computational Intelligence, 2015

A Novel Recursive Solution to LS-SVR for Robust Identification of Dynamical Systems.

José Daniel A. Santos, Guilherme A. Barreto

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

An Empirical Evaluation of Robust Gaussian Process Models for System Identification.

César Lincoln C. Mattos, José Daniel A. Santos, Guilherme A. Barreto

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

2014

A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification.

José Daniel A. Santos, César Lincoln C. Mattos, Guilherme De A. Barreto

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Improved Adaline Networks for Robust Pattern Classification.

César Lincoln C. Mattos, José Daniel A. Santos, Guilherme A. Barreto

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

Performance comparison of classifiers in the detection of short circuit incipient fault in a three-phase induction motor.

David N. Coelho, Guilherme De A. Barreto, Cláudio M. S. Medeiros, José Daniel Alencar Santos

Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2010

Estimating the Number of Hidden Neurons of the MLP Using Singular Value Decomposition and Principal Components Analysis: A Novel Approach.

José Daniel A. Santos, Guilherme De A. Barreto, Cláudio M. S. Medeiros

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010