17 citations · 65 across the 13 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…