Waleed A. Yousef, D.Sc.
Affiliations: | 2005 | The George Washington University, Washington, DC, United States |
Area:
Statistics, Computer ScienceGoogle:
"Waleed Yousef"Parents
Sign in to add mentor| Murray H. Loew | grad student | 2005 | The George Washington University | |
| (Assessment of statistical classification rules: Implications for computational intelligence.) | ||||
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Publications
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| Yousef WA. (2020) Prudence when assuming normality: An advice for machine learning practitioners Pattern Recognition Letters. 138: 44-50 |
| Mousa WA, Lang W, Auer T, et al. (2017) A pattern recognition approach for modeling the air change rates in naturally ventilated buildings from limited steady-state CFD simulations Energy and Buildings. 155: 54-65 |
| Yousef WA, Kundu S. (2014) Learning algorithms may perform worse with increasing training set size: Algorithm–data incompatibility Computational Statistics & Data Analysis. 74: 181-197 |
| Yousef WA. (2013) Assessing classifiers in terms of the partial area under the ROC curve Computational Statistics & Data Analysis. 64: 51-70 |
| Chen W, Gallas BD, Yousef WA. (2012) Classifier variability: Accounting for training and testing Pattern Recognition. 45: 2661-2671 |
| Chen W, Yousef WA, Gallas BD, et al. (2012) Uncertainty estimation with a finite dataset in the assessment of classification models Computational Statistics and Data Analysis. 56: 1016-1027 |
| Shi L, Campbell G, Jones WD, et al. (2010) The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature Biotechnology. 28: 827-38 |
| Chen W, Wagner RF, Yousef WA, et al. (2009) Comparison of classifier performance estimators: A simulation study Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7263 |
| Yousef WA, Kundu S, Wagner RF. (2009) Nonparametric estimation of the threshold at an operating point on the ROC curve Computational Statistics & Data Analysis. 53: 4370-4383 |
| Yousef WA, Wagner RF, Loew MH. (2006) Assessing classifiers from two independent data sets using ROC analysis: a nonparametric approach. Ieee Transactions On Pattern Analysis and Machine Intelligence. 28: 1809-17 |