Comparison of Non-Parametric Methods for Assessing Classifier Performance in Terms of ROC Parameters. - Waleed A. Yousef; Robert F. Wagner; Murray H. Loew (AIPR, 2004)

Estimating the uncertainty in the estimated mean area under the ROC curve of a classifier. - Waleed A. Yousef; Robert F. Wagner; Murray H. Loew (Pattern Recognit. Lett., 2005)

Assessing Classifiers from Two Independent Data Sets Using ROC Analysis: A Nonparametric Approach. - Waleed A. Yousef; Robert F. Wagner; Murray H. Loew (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Nonparametric estimation of the threshold at an operating point on the ROC curve. - Waleed A. Yousef; Subrata Kundu; Robert F. Wagner (Comput. Stat. Data Anal., 2009)

On detecting abnormalities in digital mammography. - Waleed A. Yousef; Waleed A. Mustafa; Ali A. Ali; Naglaa A. Abdelrazek; Ahmed M. Farrag (AIPR, 2010)

Uncertainty estimation with a finite dataset in the assessment of classification models. - Weijie Chen 007; Waleed A. Yousef; Brandon D. Gallas; Elizabeth R. Hsu; Samir Lababidi; Rong Tang; Gene A. Pennello; W. Fraser Symmans; Lajos Pusztai (Comput. Stat. Data Anal., 2012)

Classifier variability: Accounting for training and testing. - Weijie Chen 007; Brandon D. Gallas; Waleed A. Yousef (Pattern Recognit., 2012)

Assessing classifiers in terms of the partial area under the ROC curve. - Waleed A. Yousef (Comput. Stat. Data Anal., 2013)

Learning algorithms may perform worse with increasing training set size: Algorithm-data incompatibility. - Waleed A. Yousef; Subrata Kundu (Comput. Stat. Data Anal., 2014)

Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms. - Ahmed A. Elsayed; Waleed A. Yousef (CoRR, 2019)

Learning meters of Arabic and English poems with Recurrent Neural Networks: a step forward for language understanding and synthesis. - Waleed A. Yousef; Omar M. Ibrahime; Taha M. Madbouly; Moustafa A. Mahmoud (CoRR, 2019)

Nested Cavity Classifier: performance and remedy. - Waleed A. Mustafa; Waleed A. Yousef (CoRR, 2019)

A Review of Statistical Learning Machines from ATR to DNA Microarrays: design, assessment, and advice for practitioners. - Waleed A. Yousef (CoRR, 2019)

DVP: Data Visualization Platform. - Waleed A. Yousef; Ahmed A. Abouelkahire; Omar S. Marzouk; Sameh K. Mohamed; Mohamed N. Alaggan (CoRR, 2019)

AUC: Nonparametric Estimators and Their Smoothness. - Waleed A. Yousef (CoRR, 2019)

A Leisurely Look at Versions and Variants of the Cross Validation Estimator. - Waleed A. Yousef (CoRR, 2019)

Estimating the Standard Error of Cross-Validation-Based Estimators of Classification Rules Performance. - Waleed A. Yousef (CoRR, 2019)

Method and System for Image Analysis to Detect Cancer. - Waleed A. Yousef; Ahmed A. Abouelkahire; Deyaaeldeen Almahallawi; Omar S. Marzouk; Sameh K. Mohamed; Waleed A. Mustafa; Omar M. Osama; Ali A. Saleh; Naglaa M. Abdelrazek (CoRR, 2019)

Assessment of Multiple-Biomarker Classifiers: fundamental principles and a proposed strategy. - Waleed A. Yousef (CoRR, 2019)

Prudence when assuming normality: An advice for machine learning practitioners. - Waleed A. Yousef (Pattern Recognit. Lett., 2020)

Classifier Calibration: with implications to threat scores in cybersecurity. - Waleed A. Yousef; Issa Traoré; William Briguglio (CoRR, 2021)

Machine learning in precision medicine to preserve privacy via encryption. - William Briguglio; Parisa Moghaddam; Waleed A. Yousef; Issa Traoré; Mohammad Mamun 001 (Pattern Recognit. Lett., 2021)

Estimating the standard error of cross-Validation-Based estimators of classifier performance. - Waleed A. Yousef (Pattern Recognit. Lett., 2021)

UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring. - Waleed A. Yousef; Issa Traoré; William Briguglio (IEEE Trans. Inf. Forensics Secur., 2021)

JSOL: JavaScript Open-source Library for Grammar of Graphics. - Waleed A. Yousef; Hisham E. Mohammed; Andrew A. Naguib; Rafat S. Eid; Sherif E. Emabrak; Ahmed F. Hamed; Yusuf M. Khalifa; Shrouk T. AbdElrheem; Eman A. Awad; Sara G. Gaafar; Alaa M. Mamdoh; Nada A. Shawky (CoRR, 2022)

On Statistical Learning of Branch and Bound for Vehicle Routing Optimization. - Andrew A. Naguib; Waleed A. Yousef; Issa Traoré; Mohammad Saiful Islam Mamun (CoRR, 2023)

Classifier Calibration: With Application to Threat Scores in Cybersecurity. - Waleed A. Yousef; Issa Traoré; William Briguglio (IEEE Trans. Dependable Secur. Comput., 2023)

Federated Supervised Principal Component Analysis. - William Briguglio; Waleed A. Yousef; Issa Traoré; Mohammad Mamun 001 (IEEE Trans. Inf. Forensics Secur., 2024)

An Alternative Approach to Federated Learning for Model Security and Data Privacy. - William Briguglio; Waleed A. Yousef; Issa Traoré; Mohammad Mamun 001; Sherif Saad (ICISSP (1), 2025)