Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search. - Tobias Glasmachers; Sahar Qaadan (LOD, 2018)

Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM Training. - Sahar Qaadan; Tobias Glasmachers (CoRR, 2018)

Online Budgeted Stochastic Coordinate Ascent for Large-Scale Kernelized Dual Support Vector Machine Training. - Sahar Qaadan; Abhijeet Pendyala; Merlin Schüler; Tobias Glasmachers (ICPRAM (Revised Selected Papers), 2019)

Dual SVM Training on a Budget. - Sahar Qaadan; Merlin Schüler; Tobias Glasmachers (ICPRAM, 2019)

Budgeted stochastic coordinate ascent for large-scale kernelized dual support vector machine training - Sahar Qaadan (2020)

Forecasting Solar Photovoltaic Power Output in the German Jordanian University in Amman Using Artificial Intelligence and Machine Learning Algorithms. - Sahar Qaadan; Aiman Alshare (ICCMA, 2022)

Introducing Feature Importance Consistency (FIC) in XAI Models: A Comprehensive Evaluation using Rank Correlation Coefficients. - Sahar Qaadan; Abdelrahman AlZamer; Moaz Mohamed; Aiman Alshare; Benedikt Schmuelling (CIVEMSA, 2025)

Causal Physics-Infused Hybrid Learning (CPIHL) Framework for Next-Gen Battery Health Forecasting. - Sahar Qaadan; Aiman Alshare; Rami Alazrai; Alexander Popp; Benedikt Schmuelling (IEEE Access, 2025)