M.Sc. Research · Open Science M.Sc. Forskning · Open Science
Trajectory ML Augmentation (opens in new tab)Trajectory ML Augmentation Trajektorieaugmentering (ML)
Master's thesis research ("A Systematic Approach for Selecting Trajectories for Data Augmentation") exploring when and how to augment spatio-temporal trajectories. Replaces naive random sampling with active selection strategies (Outlierness, Uncertainty, Diversity), backed by Optuna optimization, 72-D kinematic feature extraction, and UMAP topological manifold analysis. Masterexamensforskning ("A Systematic Approach for Selecting Trajectories for Data Augmentation") som undersöker när och hur geospatiala trajektorier bör augmenteras. Ersätter slumpmässig sampling med aktiva urvalsstrategier (Outlierness, Uncertainty, Diversity), understött av Optuna-optimering, 72-dimensionell kinematisk feature extraction och topologisk UMAP-analys.
