Waleed A. Yousef

33 papers Journal 30Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Preserving data and model privacy during inference and training. Expert Syst. Appl. William Briguglio, Issa Traoré, Mohammad Mamun, Waleed A. Yousef, Sherif Saad
2025	—	`conf`	An Alternative Approach to Federated Learning for Model Security and Data Privacy. ICISSP (1) William Briguglio, Waleed A. Yousef, Issa Traoré, Mohammad Mamun, Sherif Saad
2024	J	`jnl`	Federated Supervised Principal Component Analysis. IEEE Trans. Inf. Forensics Secur. William Briguglio, Waleed A. Yousef, Issa Traoré, Mohammad Mamun
2023	J	`jnl`	Classifier Calibration: With Application to Threat Scores in Cybersecurity. IEEE Trans. Dependable Secur. Comput. Waleed A. Yousef, Issa Traoré, William Briguglio
2023	J	`jnl`	On Statistical Learning of Branch and Bound for Vehicle Routing Optimization. CoRR Andrew A. Naguib, Waleed A. Yousef, Issa Traoré, Mohammad Saiful Islam Mamun
2022	J	`jnl`	JSOL: JavaScript Open-source Library for Grammar of Graphics. CoRR 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
2021	J	`jnl`	Classifier Calibration: with implications to threat scores in cybersecurity. CoRR Waleed A. Yousef, Issa Traoré, William Briguglio
2021	J	`jnl`	Estimating the standard error of cross-Validation-Based estimators of classifier performance. Pattern Recognit. Lett. Waleed A. Yousef
2021	J	`jnl`	Machine Learning in Precision Medicine to Preserve Privacy via Encryption. CoRR William Briguglio, Parisa Moghaddam, Waleed A. Yousef, Issa Traoré, Mohammad Mamun
2021	J	`jnl`	Machine learning in precision medicine to preserve privacy via encryption. Pattern Recognit. Lett. William Briguglio, Parisa Moghaddam, Waleed A. Yousef, Issa Traoré, Mohammad Mamun
2021	J	`jnl`	UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring. CoRR Waleed A. Yousef, Issa Traoré, William Briguglio
2021	J	`jnl`	UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring. IEEE Trans. Inf. Forensics Secur. Waleed A. Yousef, Issa Traoré, William Briguglio
2020	J	`jnl`	Prudence when assuming normality: An advice for machine learning practitioners. Pattern Recognit. Lett. Waleed A. Yousef
2019	J	`jnl`	A Leisurely Look at Versions and Variants of the Cross Validation Estimator. CoRR Waleed A. Yousef
2019	J	`jnl`	A Review of Statistical Learning Machines from ATR to DNA Microarrays: design, assessment, and advice for practitioners. CoRR Waleed A. Yousef
2019	J	`jnl`	AUC: Nonparametric Estimators and Their Smoothness. CoRR Waleed A. Yousef
2019	J	`jnl`	Assessment of Multiple-Biomarker Classifiers: fundamental principles and a proposed strategy. CoRR Waleed A. Yousef
2019	J	`jnl`	DVP: Data Visualization Platform. CoRR Waleed A. Yousef, Ahmed A. Abouelkahire, Omar S. Marzouk, Sameh K. Mohamed, Mohamed N. Alaggan
2019	J	`jnl`	Estimating the Standard Error of Cross-Validation-Based Estimators of Classification Rules Performance. CoRR Waleed A. Yousef
2019	J	`jnl`	Learning meters of Arabic and English poems with Recurrent Neural Networks: a step forward for language understanding and synthesis. CoRR Waleed A. Yousef, Omar M. Ibrahime, Taha M. Madbouly, Moustafa A. Mahmoud
2019	J	`jnl`	Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms. CoRR Ahmed A. Elsayed, Waleed A. Yousef
2019	J	`jnl`	Method and System for Image Analysis to Detect Cancer. CoRR 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
2019	J	`jnl`	Nested Cavity Classifier: performance and remedy. CoRR Waleed A. Mustafa, Waleed A. Yousef
2019	J	`jnl`	Prudence When Assuming Normality: an advice for machine learning practitioners. CoRR Waleed A. Yousef
2014	J	`jnl`	Learning algorithms may perform worse with increasing training set size: Algorithm-data incompatibility. Comput. Stat. Data Anal. Waleed A. Yousef, Subrata Kundu
2013	J	`jnl`	Assessing classifiers in terms of the partial area under the ROC curve. Comput. Stat. Data Anal. Waleed A. Yousef
2012	J	`jnl`	Classifier variability: Accounting for training and testing. Pattern Recognit. Weijie Chen, Brandon D. Gallas, Waleed A. Yousef
2012	J	`jnl`	Uncertainty estimation with a finite dataset in the assessment of classification models. Comput. Stat. Data Anal. Weijie Chen, Waleed A. Yousef, Brandon D. Gallas, Elizabeth R. Hsu, Samir Lababidi, Rong Tang, Gene A. Pennello, W. Fraser Symmans, Lajos Pusztai
2010	—	`conf`	On detecting abnormalities in digital mammography. AIPR Waleed A. Yousef, Waleed A. Mustafa, Ali A. Ali, Naglaa A. Abdelrazek, Ahmed M. Farrag
2009	J	`jnl`	Nonparametric estimation of the threshold at an operating point on the ROC curve. Comput. Stat. Data Anal. Waleed A. Yousef, Subrata Kundu, Robert F. Wagner
2006	J	`jnl`	Assessing Classifiers from Two Independent Data Sets Using ROC Analysis: A Nonparametric Approach. IEEE Trans. Pattern Anal. Mach. Intell. Waleed A. Yousef, Robert F. Wagner, Murray H. Loew
2005	J	`jnl`	Estimating the uncertainty in the estimated mean area under the ROC curve of a classifier. Pattern Recognit. Lett. Waleed A. Yousef, Robert F. Wagner, Murray H. Loew
2004	—	`conf`	Comparison of Non-Parametric Methods for Assessing Classifier Performance in Terms of ROC Parameters. AIPR Waleed A. Yousef, Robert F. Wagner, Murray H. Loew