The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models Nature biotechnology 28 (8), 827-838, 2010 | 856 | 2010 |
Assessing classifiers from two independent data sets using ROC analysis: a nonparametric approach WA Yousef, RF Wagner, MH Loew IEEE transactions on pattern analysis and machine intelligence 28 (11), 1809 …, 2006 | 50 | 2006 |
The MAQC-II Project: A comprehensive study of common practices for the development and validation of microarray-based predictive models. L Shi, G Campbell, W Jones, F Campagne, Z Wen, S Walker, Z Su, T Chu, ... Nature biotechnology 28 (8), 827-838, 2010 | 49 | 2010 |
Estimating the uncertainty in the estimated mean area under the ROC curve of a classifier WA Yousef, RF Wagner, MH Loew Pattern Recognition Letters 26 (16), 2600-2610, 2005 | 49 | 2005 |
Comparison of non-parametric methods for assessing classifier performance in terms of ROC parameters WA Yousef, RF Wagner, MH Loew 33rd Applied Imagery Pattern Recognition Workshop (AIPR'04), 190-195, 2004 | 43 | 2004 |
A pattern recognition approach for modeling the air change rates in naturally ventilated buildings from limited steady-state CFD simulations WAY Mousa, W Lang, T Auer, WA Yousef Energy and Buildings 155, 54-65, 2017 | 30 | 2017 |
Assessing classifiers in terms of the partial area under the ROC curve WA Yousef Computational Statistics & Data Analysis 64, 51-70, 2013 | 30 | 2013 |
Classifier variability: accounting for training and testing W Chen, BD Gallas, WA Yousef Pattern Recognition 45 (7), 2661-2671, 2012 | 27 | 2012 |
Consortium M. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models L Shi, G Campbell, WD Jones, F Campagne, Z Wen, SJ Walker, Z Su, ... Nat Biotechnol 28 (8), 827-838, 2010 | 22 | 2010 |
Learning meters of Arabic and English poems with Recurrent Neural Networks: a step forward for language understanding and synthesis WA Yousef, OM Ibrahime, TM Madbouly, MA Mahmoud arXiv preprint arXiv:1905.05700, 2019 | 21 | 2019 |
Machine learning in precision medicine to preserve privacy via encryption W Briguglio, P Moghaddam, WA Yousef, I Traoré, M Mamun Pattern Recognition Letters 151, 148-154, 2021 | 18 | 2021 |
Estimating the standard error of cross-Validation-Based estimators of classifier performance WA Yousef Pattern Recognition Letters 146, 115-125, 2021 | 18 | 2021 |
Simulations and quantitative data analytic interpretations of indoor-outdoor temperatures in a high thermal mass structure WAY Mousa, W Lang, WA Yousef Journal of Building Engineering 12, 68-76, 2017 | 18 | 2017 |
UN-AVOIDS: unsupervised and nonparametric approach for visualizing outliers and invariant detection scoring WA Yousef, I Traoré, W Briguglio IEEE Transactions on Information Forensics and Security 16, 5195-5210, 2021 | 17 | 2021 |
Matlab vs. opencv: A comparative study of different machine learning algorithms AA Elsayed, WA Yousef arXiv preprint arXiv:1905.01213, 2019 | 14 | 2019 |
Learning algorithms may perform worse with increasing training set size: Algorithm–data incompatibility WA Yousef, S Kundu Computational statistics & data analysis 74, 181-197, 2014 | 12 | 2014 |
Uncertainty estimation with a finite dataset in the assessment of classification models W Chen, WA Yousef, BD Gallas, ER Hsu, S Lababidi, R Tang, ... Computational Statistics & Data Analysis 56 (5), 1016-1027, 2012 | 10 | 2012 |
Nonparametric estimation of the threshold at an operating point on the ROC curve WA Yousef, S Kundu, RF Wagner Computational statistics & data analysis 53 (12), 4370-4383, 2009 | 10 | 2009 |
Machine Learning Assessment: Implications to Cybersecurity WA Yousef Artificial Intelligence for Cyber-Physical Systems Hardening, 45-80, 2023 | 9* | 2023 |
Prudence when assuming normality: an advice for machine learning practitioners WA Yousef Pattern Recognition Letters 138, 44-50, 2020 | 9 | 2020 |