Tobias Feigl

Lehrstuhl für Informatik 2 (Programmiersysteme)

Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies (2024) Heublein L, Raichur NL, Feigl T, Brieger T, Heuer F, Asbach L, Hansen J, et al. Conference contribution, Original article Research Avenues for GNSS Interference Classification Robustness: Domain Adaptation, Continual Learning & Federated Learning (2024) Heublein L, Ott F, Feigl T Conference contribution, Original article Velocity-Based Channel Charting with Spatial Distribution Map Matching (2024) Stahlke M, George Y, Feigl T, Eskofier B, Mutschler C Journal article Estimating Multipath Component Delays with Transformer Models (2024) Ott J, Stahlke M, Feigl T, Mutschler C Journal article Uncertainty-Based Fingerprinting Model Monitoring for Radio Localization (2024) Stahlke M, Feigl T, Kram S, Eskofier B, Mutschler C Journal article, Original article Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data (2024) Ott F, Heublein L, Raichur NL, Feigl T, Hansen J, Ruegamer A, Mutschler C Conference contribution, Original article Optimal machine learning and signal processing synergies for low-resource GNSS interference detection and classification (2024) Van Der Merwe JR, Contreras DF, Feigl T, Ruegamer A Journal article, Original article Uncertainty-based Fingerprinting Model Selection for Radio Localization (2023) Stahlke M, Feigl T, Kram S, Eskofier B, Mutschler C Conference contribution, Original article Multipath Delay Estimation in Complex Environments using Transformer (2023) Ott J, Stahlke M, Kram S, Feigl T, Mutschler C Conference contribution, Original article Evaluation of (Un-)Supervised Machine-Learning-Based Detection, Classification, and Localization Methods of GNSS Interference in the Real World (2023) Feigl T, Brieger T, Ott F, Hansen J, Contreras DF, Ruegamer A, Felber W Conference contribution, Original article