Waleed A. Yousef

William Briguglio

IEEE Trans. Dependable Secur. Comput., 2023

On Statistical Learning of Branch and Bound for Vehicle Routing Optimization.

[BibT_eX]

[DOI]

Andrew A. Naguib

Mohammad Saiful Islam Mamun

CoRR, 2023

2022

JSOL: JavaScript Open-source Library for Grammar of Graphics.

[BibT_eX]

[DOI]

CoRR, 2022

2021

UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring.

[BibT_eX]

[DOI]

William Briguglio

IEEE Trans. Inf. Forensics Secur., 2021

Estimating the standard error of cross-Validation-Based estimators of classifier performance.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2021

Machine learning in precision medicine to preserve privacy via encryption.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2021

Classifier Calibration: with implications to threat scores in cybersecurity.

[BibT_eX]

[DOI]

William Briguglio

CoRR, 2021

2020

Prudence when assuming normality: An advice for machine learning practitioners.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

2019

Assessment of Multiple-Biomarker Classifiers: fundamental principles and a proposed strategy.

[BibT_eX]

[DOI]

CoRR, 2019

Method and System for Image Analysis to Detect Cancer.

[BibT_eX]

[DOI]

Ahmed A. Abouelkahire

Deyaaeldeen Almahallawi

CoRR, 2019

Estimating the Standard Error of Cross-Validation-Based Estimators of Classification Rules Performance.

[BibT_eX]

[DOI]

CoRR, 2019

A Leisurely Look at Versions and Variants of the Cross Validation Estimator.

[BibT_eX]

[DOI]

CoRR, 2019

AUC: Nonparametric Estimators and Their Smoothness.

[BibT_eX]

[DOI]

CoRR, 2019

DVP: Data Visualization Platform.

[BibT_eX]

[DOI]

Ahmed A. Abouelkahire

Omar S. Marzouk

Sameh K. Mohamed

Mohamed N. Alaggan

CoRR, 2019

A Review of Statistical Learning Machines from ATR to DNA Microarrays: design, assessment, and advice for practitioners.

[BibT_eX]

[DOI]

CoRR, 2019

Nested Cavity Classifier: performance and remedy.

[BibT_eX]

[DOI]

Waleed A. Mustafa

CoRR, 2019

Learning meters of Arabic and English poems with Recurrent Neural Networks: a step forward for language understanding and synthesis.

[BibT_eX]

[DOI]

CoRR, 2019

Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms.

[BibT_eX]

[DOI]

Ahmed A. Elsayed

CoRR, 2019

2014

Learning algorithms may perform worse with increasing training set size: Algorithm-data incompatibility.

[BibT_eX]

[DOI]

Subrata Kundu

Comput. Stat. Data Anal., 2014

2013

Assessing classifiers in terms of the partial area under the ROC curve.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2013

2012

Classifier variability: Accounting for training and testing.

[BibT_eX]

[DOI]

Weijie Chen

Brandon D. Gallas

Pattern Recognit., 2012

Uncertainty estimation with a finite dataset in the assessment of classification models.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2012

2010

On detecting abnormalities in digital mammography.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE Applied Imagery Pattern Recognition Workshop, 2010

2009

Nonparametric estimation of the threshold at an operating point on the ROC curve.

[BibT_eX]

[DOI]

Subrata Kundu

Comput. Stat. Data Anal., 2009

2006

Assessing Classifiers from Two Independent Data Sets Using ROC Analysis: A Nonparametric Approach.

[BibT_eX]

[DOI]

Murray H. Loew

IEEE Trans. Pattern Anal. Mach. Intell., 2006

2005

Estimating the uncertainty in the estimated mean area under the ROC curve of a classifier.

[BibT_eX]

[DOI]

Murray H. Loew

Pattern Recognit. Lett., 2005

2004

Comparison of Non-Parametric Methods for Assessing Classifier Performance in Terms of ROC Parameters.

[BibT_eX]

[DOI]