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ORCIDWaleed A. Yousef
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2020 – today
- 2024
[j13]William Briguglio
, Waleed A. Yousef, Issa Traoré, Mohammad Mamun:
Federated Supervised Principal Component Analysis. IEEE Trans. Inf. Forensics Secur. 19: 646-660 (2024)- 2023
- [j12]Waleed A. Yousef, Issa Traoré, William Briguglio:
Classifier Calibration: With Application to Threat Scores in Cybersecurity. IEEE Trans. Dependable Secur. Comput. 20(3): 1994-2010 (2023) - [i16]Andrew A. Naguib, Waleed A. Yousef, Issa Traoré, Mohammad Saiful Islam Mamun:
On Statistical Learning of Branch and Bound for Vehicle Routing Optimization. CoRR abs/2310.09986 (2023) - 2022
- [i15]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 abs/2201.04205 (2022) - 2021
- [j11]Waleed A. Yousef:
Estimating the standard error of cross-Validation-Based estimators of classifier performance. Pattern Recognit. Lett. 146: 115-125 (2021) - [j10]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: 148-154 (2021) - [j9]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: 5195-5210 (2021) - [i14]William Briguglio, Parisa Moghaddam, Waleed A. Yousef, Issa Traoré, Mohammad Mamun:
Machine Learning in Precision Medicine to Preserve Privacy via Encryption. CoRR abs/2102.03412 (2021) - [i13]Waleed A. Yousef, Issa Traoré, William Briguglio:
Classifier Calibration: with implications to threat scores in cybersecurity. CoRR abs/2102.05143 (2021) - [i12]Waleed A. Yousef, Issa Traoré, William Briguglio:
UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring. CoRR abs/2111.10010 (2021) - 2020
- [j8]Waleed A. Yousef:
Prudence when assuming normality: An advice for machine learning practitioners. Pattern Recognit. Lett. 138: 44-50 (2020)
2010 – 2019
- 2019
- [i11]Ahmed A. Elsayed, Waleed A. Yousef:
Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms. CoRR abs/1905.01213 (2019) - [i10]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 abs/1905.05700 (2019) - [i9]Waleed A. Mustafa, Waleed A. Yousef:
Nested Cavity Classifier: performance and remedy. CoRR abs/1906.09669 (2019) - [i8]Waleed A. Yousef:
A Review of Statistical Learning Machines from ATR to DNA Microarrays: design, assessment, and advice for practitioners. CoRR abs/1906.10019 (2019) - [i7]Waleed A. Yousef, Ahmed A. Abouelkahire, Omar S. Marzouk, Sameh K. Mohamed, Mohamed N. Alaggan:
DVP: Data Visualization Platform. CoRR abs/1906.11738 (2019) - [i6]Waleed A. Yousef:
AUC: Nonparametric Estimators and Their Smoothness. CoRR abs/1907.12851 (2019) - [i5]Waleed A. Yousef:
Prudence When Assuming Normality: an advice for machine learning practitioners. CoRR abs/1907.12852 (2019) - [i4]Waleed A. Yousef:
A Leisurely Look at Versions and Variants of the Cross Validation Estimator. CoRR abs/1907.13413 (2019) - [i3]Waleed A. Yousef:
Estimating the Standard Error of Cross-Validation-Based Estimators of Classification Rules Performance. CoRR abs/1908.00325 (2019) - [i2]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 abs/1908.10661 (2019) - [i1]Waleed A. Yousef:
Assessment of Multiple-Biomarker Classifiers: fundamental principles and a proposed strategy. CoRR abs/1910.14502 (2019) - 2014
- [j7]Waleed A. Yousef, Subrata Kundu:
Learning algorithms may perform worse with increasing training set size: Algorithm-data incompatibility. Comput. Stat. Data Anal. 74: 181-197 (2014) - 2013
- [j6]Waleed A. Yousef:
Assessing classifiers in terms of the partial area under the ROC curve. Comput. Stat. Data Anal. 64: 51-70 (2013) - 2012
- [j5]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): 1016-1027 (2012) - [j4]Weijie Chen, Brandon D. Gallas, Waleed A. Yousef:
Classifier variability: Accounting for training and testing. Pattern Recognit. 45(7): 2661-2671 (2012) - 2010
- [c2]Waleed A. Yousef, Waleed A. Mustafa, Ali A. Ali, Naglaa A. Abdelrazek, Ahmed M. Farrag:
On detecting abnormalities in digital mammography. AIPR 2010: 1-7
2000 – 2009
- 2009
- [j3]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): 4370-4383 (2009) - 2006
- [j2]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): 1809-1817 (2006) - 2005
- [j1]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): 2600-2610 (2005) - 2004
- [c1]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: 190-195
Coauthor Index
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