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 MSc Defense: Machine Learning Inference of Building Basement Presence Using Street-Level Imagery and Multi-Source Geospatial Attributes: A Case Study of Mannheim, Germany
On July 01, 2026, Gökçe Yağmur Özcan will present her Master Thesis on " Machine Learning Inference of Building Basement Presence Using Street-Level Imagery and Multi-Source Geospatial Attributes: A Case Study of Mannheim, Germany " at 11:00 at the EORC...








