Waldyn G. Martinez

According to our database, Waldyn G. Martinez authored at least 11 papers between 2016 and 2023.

Collaborative distances:

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

2023

Boundary Peeling: Outlier Detection Method Using One-Class Peeling.

Sheikh Arafat, Na Sun, Maria L. Weese, Waldyn G. Martinez

CoRR, 2023

2022

Robustness of the one-class Peeling method to the Gaussian Kernel Bandwidth.

Lina Lee, Maria L. Weese, Waldyn G. Martinez, L. Allison Jones-Farmer

Qual. Reliab. Eng. Int., 2022

2021

Ensemble Pruning via Quadratic Margin Maximization.

Waldyn G. Martinez

IEEE Access, 2021

2020

A one-class peeling method for multivariate outlier detection with applications in phase I SPC.

Waldyn G. Martinez, Maria L. Weese, L. Allison Jones-Farmer

Qual. Reliab. Eng. Int., 2020

2019

On the Insufficiency of the Large Margins Theory in Explaining the Performance of Ensemble Methods.

Waldyn G. Martinez, J. Brian Gray

CoRR, 2019

Ensemble Pruning via Margin Maximization.

Waldyn G. Martinez

CoRR, 2019

On the Current State of Research in Explaining Ensemble Performance Using Margins.

Waldyn G. Martinez, J. Brian Gray

CoRR, 2019

2018

Predicting short-term stock prices using ensemble methods and online data sources.

Bin Weng, Lin Lu, Xing Wang, Fadel M. Megahed, Waldyn G. Martinez

Expert Syst. Appl., 2018

Macroeconomic indicators alone can predict the monthly closing price of major U.S. indices: Insights from artificial intelligence, time-series analysis and hybrid models.

Bin Weng, Waldyn G. Martinez, Yao-Te Tsai, Chen Li, Lin Lu, James R. Barth, Fadel M. Megahed

Appl. Soft Comput., 2018

2017

On the Selection of the Bandwidth Parameter for the <i>k</i>-Chart.

Maria L. Weese, Waldyn G. Martinez, L. Allison Jones-Farmer

Qual. Reliab. Eng. Int., 2017

2016

Noise peeling methods to improve boosting algorithms.

Waldyn G. Martinez, J. Brian Gray

Comput. Stat. Data Anal., 2016