17 citations · 65 across the 13 of their papers we have counts for
13 papers
UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring
Waleed A. Yousef, Issa Traore, William Briguglio
The visualization and detection of anomalies (outliers) are of crucial importance to many fields, particularly cybersecurity. Several approaches have been proposed in these fields,…
Machine Learning in Precision Medicine to Preserve Privacy via Encryption
William Briguglio, Parisa Moghaddam, Waleed A. Yousef +2
Precision medicine is an emerging approach for disease treatment and prevention that delivers personalized care to individual patients by considering their genetic makeups, medical…
Classifier Calibration: with application to threat scores in cybersecurity
Waleed A. Yousef, Issa Traore, William Briguglio
This paper explores the calibration of a classifier output score in binary classification problems. A calibrator is a function that maps the arbitrary classifier score, of a testin…
Assessment of Multiple-Biomarker Classifiers: fundamental principles and a proposed strategy
Waleed A. Yousef
The multiple-biomarker classifier problem and its assessment are reviewed against the background of some fundamental principles from the field of statistical pattern recognition, m…
Method and System for Image Analysis to Detect Cancer
Waleed A. Yousef, Ahmed A. Abouelkahire, Deyaaeldeen Almahallawi +6
Breast cancer is the most common cancer and is the leading cause of cancer death among women worldwide. Detection of breast cancer, while it is still small and confined to the brea…
Prudence When Assuming Normality: an advice for machine learning practitioners
Waleed A. Yousef
In a binary classification problem the feature vector (predictor) is the input to a scoring function that produces a decision value (score), which is compared to a particular chose…
Estimating the standard error of cross-Validation-Based estimators of classifier performance
Waleed A. Yousef
First, we analyze the variance of the Cross Validation (CV)-based estimators used for estimating the performance of classification rules. Second, we propose a novel estimator to es…
On The Smoothness of Cross-Validation-Based Estimators Of Classifier Performance
Waleed A. Yousef
Many versions of cross-validation (CV) exist in the literature; and each version though has different variants. All are used interchangeably by many practitioners; yet, without exp…
Machine Learning Assessment: implications to cybersecurity
Waleed A. Yousef
This chapter is dedicated to the assessment and performance estimation of machine learning (ML) algorithms, a topic that is equally important to the construction of these algorithm…
DVP: Data Visualization Platform
Waleed A. Yousef, Ahmed A. Abouelkahire, Omar S. Marzouk +2
We identify two major steps in data analysis, data exploration for understanding and observing patterns/relationships in data; and construction, design and assessment of various mo…
Nested Cavity Classifier: performance and remedy
Waleed A. Mustafa, Waleed A. Yousef
Nested Cavity Classifier (NCC) is a classification rule that pursues partitioning the feature space, in parallel coordinates, into convex hulls to build decision regions. It is cla…
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 +1
Recognizing a piece of writing as a poem or prose is usually easy for the majority of people; however, only specialists can determine which meter a poem belongs to. In this paper,…
Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms
Ahmed A. Elsayed, Waleed A. Yousef
Scientific Computing relies on executing computer algorithms coded in some programming languages. Given a particular available hardware, algorithms speed is a crucial factor. There…