Saul de Castro Leite

According to our database, Saul de Castro Leite authored at least 18 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A numerical method for ergodic optimal control of switching diffusions with reflection.

Saul C. Leite, Marcelo D. Fragoso

Eur. J. Control, 2024

2022

Phylogeny Trees as a Tool to Compare Inference Algorithms of Orthologs.

Rafael Oliveira, Saul de Castro Leite, Fernanda Nascimento Almeida

Proceedings of the Advances in Bioinformatics and Computational Biology, 2022

2021

An ordered search with a large margin classifier for feature selection.

Saulo Moraes Villela, Saul de Castro Leite, Adilson Elias Xavier, Raul Fonseca Neto

Appl. Soft Comput., 2021

2020

A kernel based learning method for non-stationary two-player repeated games.

Renan Motta Goulart, Saul C. Leite, Raul Fonseca Neto

Knowl. Based Syst., 2020

Numerical Method for Ergodic Optimal Control Problems of Switching Stochastic Differential Equations with Reflection.

Saul C. Leite, Marcelo D. Fragoso

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

On Constrained Langevin Equations and (Bio)Chemical Reaction Networks.

David F. Anderson, Desmond J. Higham, Saul C. Leite, Ruth J. Williams

Multiscale Model. Simul., 2019

Predicting Cancer Patients' Survival Using Random Forests.

Camila Takemoto Bertolini, Saul de Castro Leite, Fernanda Nascimento Almeida

Proceedings of the Advances in Bioinformatics and Computational Biology, 2019

2018

Online Orthogonal Regression Based on a Regularized Squared Loss.

Roberto Souza, Saul C. Leite, Wagner Meira Jr., Eduardo R. Hruschka

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2016

Incremental p-margin algorithm for classification with arbitrary norm.

Saulo Moraes Villela, Saul de Castro Leite, Raul Fonseca Neto

Pattern Recognit., 2016

2015

Feature Selection from Microarray Data via an Ordered Search with Projected Margin.

Saulo Moraes Villela, Saul de Castro Leite, Raul Fonseca Neto

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

On the control of power consumption in server farms via heavy traffic approximation.

Saul de Castro Leite, Marcelo D. Fragoso

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Online algorithm based on support vectors for orthogonal regression.

Roberto C. S. N. P. Souza, Saul C. Leite, Carlos Cristiano H. Borges, Raul Fonseca Neto

Pattern Recognit. Lett., 2013

2010

Heavy traffic analysis of state-dependent parallel queues with triggers and an application to web search systems.

Saul de Castro Leite, Marcelo D. Fragoso

Perform. Evaluation, 2010

2009

Aproximações para Redes Estocásticas Sinalizantes sob Tráfego Pesado.

Saul de Castro Leite

PhD thesis, 2009

An unified approach to signaling stochastic networks and their heavy traffic approximations.

Saul C. Leite, Marcelo D. Fragoso

Proceedings of the 10th European Control Conference, 2009

2008

Incremental margin algorithm for large margin classifiers.

Saul C. Leite, Raul Fonseca Neto

Neurocomputing, 2008

On the analysis of G-queues under heavy traffic.

Saul de Castro Leite, Marcelo D. Fragoso

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Diffusion approximation of state dependent G-networks under heavy traffic.

Saul de Castro Leite, Marcelo D. Fragoso

Proceedings of the 47th IEEE Conference on Decision and Control, 2008