Waleed A. Yousef

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 22

Top Topics

Machine Learning

Cross Validation

Top Venues

Pattern Recognit. Lett.

IEEE Trans. Inf. Forensics Secur.

Comput. Stat. Data Anal.

Publications

William Briguglio, Waleed A. Yousef, Issa Traoré, Mohammad Mamun
Federated Supervised Principal Component Analysis. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Andrew A. Naguib, Waleed A. Yousef, Issa Traoré, Mohammad Saiful Islam Mamun
On Statistical Learning of Branch and Bound for Vehicle Routing Optimization. CoRR (2023)
Waleed A. Yousef, Issa Traoré, William Briguglio
Classifier Calibration: With Application to Threat Scores in Cybersecurity. IEEE Trans. Dependable Secur. Comput. 20 (3) (2023)
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
JSOL: JavaScript Open-source Library for Grammar of Graphics. CoRR (2022)
William Briguglio, Parisa Moghaddam, Waleed A. Yousef, Issa Traoré, Mohammad Mamun
Machine learning in precision medicine to preserve privacy via encryption. Pattern Recognit. Lett. 151 (2021)
Waleed A. Yousef, Issa Traoré, William Briguglio
Classifier Calibration: with implications to threat scores in cybersecurity. CoRR (2021)
William Briguglio, Parisa Moghaddam, Waleed A. Yousef, Issa Traoré, Mohammad Mamun
Machine Learning in Precision Medicine to Preserve Privacy via Encryption. CoRR (2021)
Waleed A. Yousef, Issa Traoré, William Briguglio
UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring. CoRR (2021)
Waleed A. Yousef, Issa Traoré, William Briguglio
UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Waleed A. Yousef
Estimating the standard error of cross-Validation-Based estimators of classifier performance. Pattern Recognit. Lett. 146 (2021)
Waleed A. Yousef
Prudence when assuming normality: An advice for machine learning practitioners. Pattern Recognit. Lett. 138 (2020)
Waleed A. Yousef, Ahmed A. Abouelkahire, Omar S. Marzouk, Sameh K. Mohamed, Mohamed N. Alaggan
DVP: Data Visualization Platform. CoRR (2019)
Waleed A. Yousef, Omar M. Ibrahime, Taha M. Madbouly, Moustafa A. Mahmoud
Learning meters of Arabic and English poems with Recurrent Neural Networks: a step forward for language understanding and synthesis. CoRR (2019)
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
Method and System for Image Analysis to Detect Cancer. CoRR (2019)
Ahmed A. Elsayed, Waleed A. Yousef
Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms. CoRR (2019)
Waleed A. Yousef
Prudence When Assuming Normality: an advice for machine learning practitioners. CoRR (2019)
Waleed A. Yousef
AUC: Nonparametric Estimators and Their Smoothness. CoRR (2019)
Waleed A. Mustafa, Waleed A. Yousef
Nested Cavity Classifier: performance and remedy. CoRR (2019)
Waleed A. Yousef
A Leisurely Look at Versions and Variants of the Cross Validation Estimator. CoRR (2019)
Waleed A. Yousef
A Review of Statistical Learning Machines from ATR to DNA Microarrays: design, assessment, and advice for practitioners. CoRR (2019)
Waleed A. Yousef
Estimating the Standard Error of Cross-Validation-Based Estimators of Classification Rules Performance. CoRR (2019)
Waleed A. Yousef
Assessment of Multiple-Biomarker Classifiers: fundamental principles and a proposed strategy. CoRR (2019)
Waleed A. Yousef, Subrata Kundu
Learning algorithms may perform worse with increasing training set size: Algorithm-data incompatibility. Comput. Stat. Data Anal. 74 (2014)
Waleed A. Yousef
Assessing classifiers in terms of the partial area under the ROC curve. Comput. Stat. Data Anal. 64 (2013)
Weijie Chen, Waleed A. Yousef, Brandon D. Gallas, Elizabeth R. Hsu, Samir Lababidi, Rong Tang, Gene A. Pennello, W. Fraser Symmans, Lajos Pusztai
Uncertainty estimation with a finite dataset in the assessment of classification models. Comput. Stat. Data Anal. 56 (5) (2012)
Weijie Chen, Brandon D. Gallas, Waleed A. Yousef
Classifier variability: Accounting for training and testing. Pattern Recognit. 45 (7) (2012)
Waleed A. Yousef, Waleed A. Mustafa, Ali A. Ali, Naglaa A. Abdelrazek, Ahmed M. Farrag
On detecting abnormalities in digital mammography. AIPR (2010)
Waleed A. Yousef, Subrata Kundu, Robert F. Wagner
Nonparametric estimation of the threshold at an operating point on the ROC curve. Comput. Stat. Data Anal. 53 (12) (2009)
Waleed A. Yousef, Robert F. Wagner, Murray H. Loew
Assessing Classifiers from Two Independent Data Sets Using ROC Analysis: A Nonparametric Approach. IEEE Trans. Pattern Anal. Mach. Intell. 28 (11) (2006)
Waleed A. Yousef, Robert F. Wagner, Murray H. Loew
Estimating the uncertainty in the estimated mean area under the ROC curve of a classifier. Pattern Recognit. Lett. 26 (16) (2005)
Waleed A. Yousef, Robert F. Wagner, Murray H. Loew
Comparison of Non-Parametric Methods for Assessing Classifier Performance in Terms of ROC Parameters. AIPR (2004)