This page presents Fadi Al Machot’s scholarly publications, including journal articles, conference papers, book contributions, and chapters. His research focuses on advanced machine learning and deep learning methods—such as zero/few-shot learning, explainable AI, temporal modeling, and neural-symbolic systems. These methods are applied across diverse domains, including healthcare and assisted living, autonomous and connected vehicles, Computational Intelligence for Engineering, Energy, and Battery Systems , and smart agriculture and bioinformatics.

• Journals

• Conferences

• Books

• Chapters

Machine Learning & Deep Learning

Applications