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 Hybrid AI Framework Integrating Ontology Learning, Knowledge Graphs, and Large Language Models for Improved Data Model Translation in Smart Manufacturing and Transportation. - Kabeh Mohsenzadegan; Vahid Tavakkoli; Witesyavwirwa Vianney Kambale; Kyandoghere Kyamakya (SDF, 2024)

Towards Seamless Data Translation Based on Data Models: A Hybrid AI Framework for Smart Transportation and Manufacturing. - Kabeh Mohsenzadegan; Vahid Tavakkoli; Witesyavwirwa Vianney Kambale; Kyandoghere Kyamakya (SMAP, 2024)

Integrating IEEE 1451 and IEC 61499 Standards for Enhanced Interoperability in Smart Manufacturing and Transportation Systems. - Vahid Tavakkoli; Kabeh Mohsenzadegan; Witesyavwirwa Vianney Kambale; Kyandoghere Kyamakya (SMAP, 2024)

A Comprehensive Literature Review on Artificial Dataset Generation for Repositioning Challenges in Shared Electric Automated and Connected Mobility. - Antoine Kazadi Kayisu; Witesyavwirwa Vianney Kambale; Taha Benarbia; Pitshou Ntambu Bokoro; Kyandoghere Kyamakya (Symmetry, 2024)

Comprehensive Sensitivity Analysis Framework for Transfer Learning Performance Assessment for Time Series Forecasting: Basic Concepts and Selected Case Studies. - Witesyavwirwa Vianney Kambale; Mohamed Salem; Taha Benarbia; Fadi Al Machot; Kyandoghere Kyamakya (Symmetry, 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)