Search Results - Martinez, Waldyn

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  1. 1
    Ensemble Pruning via Quadratic Margin Maximization

    Ensemble Pruning via Quadratic Margin Maximization by Martinez, Waldyn G.

    Published in IEEE access
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  2. 2
    A one‐class peeling method for multivariate outlier detection with applications in phase I SPC

    A one‐class peeling method for multivariate outlier detection with applications in phase I SPC by Martinez, Waldyn G., Weese, Maria L., Jones-Farmer, L. Allison

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  3. 3
    Macroeconomic indicators alone can predict the monthly closing price of major U.S. indices: Insights from artificial intelligence, time-series analysis and hybrid models

    Macroeconomic indicators alone can predict the monthly closing price of major U.S. indices: Insights from artificial intelligence, time-series analysis and hybrid models by Weng, Bin, Martinez, Waldyn, Tsai, Yao-Te, Li, Chen, Lu, Lin, Barth, James R., Megahed, Fadel M.

    Published in Applied soft computing
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  4. 4
    Robustness of the one‐class Peeling method to the Gaussian Kernel Bandwidth

    Robustness of the one‐class Peeling method to the Gaussian Kernel Bandwidth by Lee, Lina, Weese, Maria L., Martinez, Waldyn G., Jones‐Farmer, L. Allison

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  5. 5
    On the Selection of the Bandwidth Parameter for the k‐Chart

    On the Selection of the Bandwidth Parameter for the k‐Chart by Weese, Maria L., Martinez, Waldyn G., Jones‐Farmer, L. Allison

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  6. 6
    Predicting short-term stock prices using ensemble methods and online data sources

    Predicting short-term stock prices using ensemble methods and online data sources by Weng, Bin, Lu, Lin, Wang, Xing, Megahed, Fadel M., Martinez, Waldyn

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  7. 7
    Noise peeling methods to improve boosting algorithms

    Noise peeling methods to improve boosting algorithms by Martinez, Waldyn, Gray, J. Brian

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  8. 8
    Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective

    Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective by Weese, Maria, Martinez, Waldyn, Megahed, Fadel M., Jones-Farmer, L. Allison

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  9. 9
    Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase

    Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase by Cheng, Zishuo, Aitha, Mahesh, Thomas, Caitlyn A., Sturgill, Aidan, Fairweather, Mitch, Hu, Amy, Bethel, Christopher R., Rivera, Dann D., Dranchak, Patricia, Thomas, Pei W., Li, Han, Feng, Qi, Tao, Kaicheng, Song, Minshuai, Sun, Na, Wang, Shuo, Silwal, Surendra Bikram, Page, Richard C., Fast, Walt, Bonomo, Robert A., Weese, Maria, Martinez, Waldyn, Inglese, James, Crowder, Michael W.

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  10. 10
    The role of margins in boosting and ensemble performance

    The role of margins in boosting and ensemble performance by Martinez, Waldyn, Gray, J. Brian

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  11. 11
    Ensemble Pruning via Margin Maximization

    Ensemble Pruning via Margin Maximization by Martinez, Waldyn

    Published in arXiv.org
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  12. 12
    Boundary Peeling: Outlier Detection Method Using One-Class Peeling

    Boundary Peeling: Outlier Detection Method Using One-Class Peeling by Sheikh Arafat, Sun, Na, Weese, Maria L, Martinez, Waldyn G

    Published in arXiv.org
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  13. 13
    On the Insufficiency of the Large Margins Theory in Explaining the Performance of Ensemble Methods

    On the Insufficiency of the Large Margins Theory in Explaining the Performance of Ensemble Methods by Martinez, Waldyn, Gray, J Brian

    Published in arXiv.org
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  14. 14
    On the Current State of Research in Explaining Ensemble Performance Using Margins

    On the Current State of Research in Explaining Ensemble Performance Using Margins by Martinez, Waldyn, Gray, J Brian

    Published in arXiv.org
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