This study will examine whether the application of hybrid classifiers increases the classification accuracy in comparison to a single classifier. A combination between parametric and non-parametric classifiers will be applied and their performance will be assessed. The student is expected to gain a deep knowledge of applied Machine Learning algorithms within this innovation laboratory.
EAGLE Master Defense: Enhancing Land Cover Classification in Southern Africa Using Multi-Sensor and Multi-Algorithm Approaches
On June 10, 2025, Christobal Tobbin will present his Master Thesis on " Enhancing Land Cover Classification in Southern Africa Using Multi-Sensor and Multi-Algorithm Approaches" at 12:00 online. From the abstract: The Kavango-Zambezi (KAZA) region which is a part of...
