Predicting short-term stock prices using ensemble methods and online data sources B Weng, L Lu, X Wang, FM Megahed, W Martinez Expert Systems with Applications 112, 258-273, 2018 | 266 | 2018 |
Statistical learning methods applied to process monitoring: An overview and perspective M Weese, W Martinez, FM Megahed, LA Jones-Farmer Journal of Quality Technology 48 (1), 4-24, 2016 | 107 | 2016 |
Macroeconomic indicators alone can predict the monthly closing price of major US indices: Insights from artificial intelligence, time-series analysis and hybrid models B Weng, W Martinez, YT Tsai, C Li, L Lu, JR Barth, FM Megahed Applied Soft Computing 71, 685-697, 2018 | 51 | 2018 |
Ensemble Pruning via Margin Maximization W Martinez IEEE Access, 2021 | 13 | 2021 |
Noise peeling methods to improve boosting algorithms W Martinez, JB Gray Computational Statistics & Data Analysis 93, 483-497, 2016 | 13 | 2016 |
A one‐class peeling method for multivariate outlier detection with applications in phase I SPC WG Martinez, ML Weese, LA Jones-Farmer Quality and Reliability Engineering International 36 (4), 1272-1295, 2020 | 10 | 2020 |
On the Selection of the Bandwidth Parameter for the k‐Chart ML Weese, WG Martinez, LA Jones‐Farmer Quality and Reliability Engineering International 33 (7), 1527-1547, 2017 | 6 | 2017 |
The role of margins in boosting and ensemble performance W Martinez, JB Gray Wiley Interdisciplinary Reviews: Computational Statistics 6 (2), 124-131, 2014 | 6 | 2014 |
Three essays on the use of margins to improve ensemble models WGM Cid The University of Alabama, 2012 | 3 | 2012 |
Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase Z Cheng, M Aitha, CA Thomas, A Sturgill, M Fairweather, A Hu, CR Bethel, ... Journal of chemical information and modeling, 2024 | 1 | 2024 |
Robustness of the one‐class Peeling method to the Gaussian Kernel Bandwidth L Lee, ML Weese, WG Martinez, LA Jones‐Farmer Quality and Reliability Engineering International 38 (3), 1289-1301, 2022 | 1 | 2022 |
On the insufficiency of the large margins theory in explaining the performance of ensemble methods W Martinez, JB Gray arXiv preprint arXiv:1906.04063, 2019 | 1 | 2019 |
On the Current State of Research in Explaining Ensemble Performance Using Margins W Martinez, JB Gray arXiv preprint arXiv:1906.03123, 2019 | 1 | 2019 |
Boundary Peeling: Outlier Detection Method Using One-Class Peeling S Arafat, N Sun, ML Weese, WG Martinez arXiv preprint arXiv:2309.05630, 2023 | | 2023 |
One-Class Peeling for Outlier Detection in High Dimensions WG Martinez, ML Weese, LA Jones-Farmer | | |