Noise peeling methods to improve boosting algorithms. - Waldyn G. Martinez; J. Brian Gray (Comput. Stat. Data Anal., 2016)

On the Selection of the Bandwidth Parameter for the k-Chart. - Maria L. Weese; Waldyn G. Martinez; L. Allison Jones-Farmer (Qual. Reliab. Eng. Int., 2017)

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)

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)

On the Current State of Research in Explaining Ensemble Performance Using Margins. - Waldyn G. Martinez; J. Brian Gray (CoRR, 2019)

Ensemble Pruning via Margin Maximization. - Waldyn G. Martinez (CoRR, 2019)

On the Insufficiency of the Large Margins Theory in Explaining the Performance of Ensemble Methods. - Waldyn G. Martinez; J. Brian Gray (CoRR, 2019)

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)

Ensemble Pruning via Quadratic Margin Maximization. - Waldyn G. Martinez (IEEE Access, 2021)

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)

Boundary Peeling: Outlier Detection Method Using One-Class Peeling. - Sheikh Arafat; Na Sun; Maria L. Weese; Waldyn G. Martinez (CoRR, 2023)

Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase. - Zishuo Cheng; Mahesh Aitha; Caitlyn A. Thomas; Aidan Sturgill; Mitch Fairweather; Amy Hu; Christopher R. Bethel; Dann D. Rivera; Patricia Dranchak; Pei W. Thomas; Han Li; Qi Feng; et al. (J. Chem. Inf. Model., 2024)