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ORCIDSaul de Castro Leite
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Books and Theses
- 2009
[b1]Saul de Castro Leite:
Aproximações para Redes Estocásticas Sinalizantes sob Tráfego Pesado. Laboratório Nacional de Computação Científica, Brazil, 2009
Journal Articles
- 2024
- [j8]Saul C. Leite
, Marcelo D. Fragoso:
A numerical method for ergodic optimal control of switching diffusions with reflection. Eur. J. Control 77: 100989 (2024) - 2021
- [j7]Saulo Moraes Villela, Saul de Castro Leite, Adilson Elias Xavier, Raul Fonseca Neto:
An ordered search with a large margin classifier for feature selection. Appl. Soft Comput. 100: 106930 (2021) - 2020
- [j6]Renan Motta Goulart, Saul C. Leite, Raul Fonseca Neto:
A kernel based learning method for non-stationary two-player repeated games. Knowl. Based Syst. 196: 105820 (2020) - 2019
- [j5]David F. Anderson, Desmond J. Higham, Saul C. Leite, Ruth J. Williams:
On Constrained Langevin Equations and (Bio)Chemical Reaction Networks. Multiscale Model. Simul. 17(1): 1-30 (2019) - 2016
- [j4]Saulo Moraes Villela, Saul de Castro Leite, Raul Fonseca Neto:
Incremental p-margin algorithm for classification with arbitrary norm. Pattern Recognit. 55: 261-272 (2016) - 2013
- [j3]Roberto C. S. N. P. Souza, Saul C. Leite, Carlos Cristiano H. Borges, Raul Fonseca Neto:
Online algorithm based on support vectors for orthogonal regression. Pattern Recognit. Lett. 34(12): 1394-1404 (2013) - 2010
- [j2]Saul de Castro Leite, Marcelo D. Fragoso:
Heavy traffic analysis of state-dependent parallel queues with triggers and an application to web search systems. Perform. Evaluation 67(10): 913-928 (2010) - 2008
- [j1]Saul C. Leite, Raul Fonseca Neto:
Incremental margin algorithm for large margin classifiers. Neurocomputing 71(7-9): 1550-1560 (2008)
Conference and Workshop Papers
- 2022
- [c9]Rafael Oliveira, Saul de Castro Leite, Fernanda Nascimento Almeida:
Phylogeny Trees as a Tool to Compare Inference Algorithms of Orthologs. BSB 2022: 128-139 - 2020
- [c8]Saul C. Leite, Marcelo D. Fragoso:
Numerical Method for Ergodic Optimal Control Problems of Switching Stochastic Differential Equations with Reflection. CDC 2020: 61-66 - 2019
- [c7]Camila Takemoto Bertolini, Saul de Castro Leite, Fernanda Nascimento Almeida:
Predicting Cancer Patients' Survival Using Random Forests. BSB 2019: 96-106 - 2018
- [c6]Roberto Souza, Saul C. Leite, Wagner Meira Jr., Eduardo R. Hruschka:
Online Orthogonal Regression Based on a Regularized Squared Loss. ICMLA 2018: 925-930 - 2015
- [c5]Saulo Moraes Villela, Saul de Castro Leite, Raul Fonseca Neto:
Feature Selection from Microarray Data via an Ordered Search with Projected Margin. IJCAI 2015: 3874-3881 - 2014
- [c4]Saul de Castro Leite, Marcelo D. Fragoso:
On the control of power consumption in server farms via heavy traffic approximation. CDC 2014: 3683-3688 - 2009
- [c3]Saul C. Leite, Marcelo D. Fragoso:
An unified approach to signaling stochastic networks and their heavy traffic approximations. ECC 2009: 4780-4785 - 2008
- [c2]Saul de Castro Leite, Marcelo D. Fragoso:
Diffusion approximation of state dependent G-networks under heavy traffic. CDC 2008: 1495-1500 - [c1]Saul de Castro Leite, Marcelo D. Fragoso:
On the analysis of G-queues under heavy traffic. CDC 2008: 1501-1506
Coauthor Index
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