A comprehensive generalization of a Graph-Attention-Network GAT based system towards real IP analog-mixed-signal AMS schematics structure recognition. - Ali Deeb; Mohamed Salem; Abdalrahman Ibrahim; Witesyavwirwa Vianney Kambale; Joachim Pichler; Fadi Al Machot; Kyandoghere Kyamakya (ICECS, 2023)

Ensemble Transfer Learning for Time Series Forecasting: A Comparative Sensitivity Analysis of Two Shallow Networks. - Witesyavwirwa Vianney Kambale; Ali Deeb; Taha Bernabia; Fadi Al Machot; Kyandoghere Kyamakya (ICECS, 2023)

Transformers in Time Series Forecasting: A brief Analysis of the Autoformer Transfer Learning Performance. - Witesyavwirwa Vianney Kambale; David Krame Kadurha; Ali Deeb; Fadi Al Machot; Taha Bernabia; Kyandoghere Kyamakya (ICECS, 2023)

A Robust Automated Analog Circuits Classification Involving a Graph Neural Network and a Novel Data Augmentation Strategy. - Ali Deeb; Abdalrahman Ibrahim; Mohamed Salem; Joachim Pichler; Sergii Tkachov; Anjeza Karaj; Fadi Al Machot; Kyandoghere Kyamakya (Sensors, 2023)

COVID-19 diagnosis with Deep Learning: Adjacent-pooling CTScan-COVID-19 Classifier Based on ResNet and CBAM. - Ali Deeb; Ahmad Debow; Saleem Mansour; Viacheslav P. Shkodyrev (Biomed. Signal Process. Control., 2023)

A Graph Attention Network Based System for Robust Analog Circuits' Structure Recognition Involving a Novel Data Augmentation Technique. - Ali Deeb; Mohamed Salem; Abdalrahman Ibrahim; Joachim Pichler; Sergii Tkachov; Anjeza Karaj; Fadi Al Machot; Kyandoghere Kyamakya (IEEE Access, 2024)

Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics. - Mohamed Salem; Witesyavwirwa Vianney Kambale; Ali Deeb; Sergii Tkachov; Anjeza Karaj; Joachim Pichler; Manuel Ludwig Lexer; Kyandoghere Kyamakya (IEEE Access, 2025)