1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

Abstract: This paper explores the correlation between momentum and scoring trends using a combination of binary logistic regression and Monte Carlo simulation. The real-time momentum of the game is ...

This cross-sectional study investigates the interplay of lifestyle, behavioral, and psychosocial factors in predicting depressive symptoms among Chinese college students (N=508) using binary logistic ...

ABSTRACT: This study addresses the research question: What is the effect of higher education liberalization on the regional distribution of universities and educational attainment in Zambia? The ...

In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...

A collection of academic projects from my time at the University of Algiers 1, covering social network analysis, data visualization, formal languages, binary logistic regression, and statistical ...

Abstract: The complex distributed systems installed in vehicles represent the cutting edge of the automotive industry. Electronic control units communicate with each other by sending and receiving ...