29 Aug 2026Open access
Explainable and imbalance-aware holistic swarm optimization for joint feature selection and random forest learning in educational analyticsPublisher siteScientific Reports, Imbalanced Data Classification Techniques
Active, last published 2026
In online learning and analytics
M. A.
Elsabagh
Scholar“Research focused on Online Learning and Analytics and adjacent fields.”
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01 · About the work
What I study
. A. Elsabagh is a researcher working on Online Learning and Analytics. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
M.'s work has been cited 1 times across 1 active year. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Online Learning and Analytics×3Intelligent Tutoring Systems and Adaptive Learning×2Imbalanced Data Classification Techniques×1Explainable Artificial Intelligence (XAI)×1
04 · Where I am
Affiliations
Affiliation on published researchKafrelsheikh University, EgyptDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
3 works20 May 2026Open access
A Chaotic Educational Competition Optimizer with an Explainable SVC for Risk-Aware Student Performance PredictionPublisher siteInventions, Online Learning and Analytics
24 Feb 2026Open access
A Multi-Objective and Uncertainty-Aware Holistic Swarm Optimized Random Forest for Robust Student Performance and Dropout PredictionPublisher siteInventions, Online Learning and Analytics
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