Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization

23 September 2024

Papers citing "Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization"

4 / 4 papers shown

Title
VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification Lucas Heublein Simon Kocher Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott DRL 26 1 0 14 Apr 2025
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Nishant S. Gaikwad Lucas Heublein N. Raichur Tobias Feigl Christopher Mutschler Felix Ott 45 5 0 31 Dec 2024
Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling Lucas Heublein Tobias Feigl A. Rügamer Felix Ott 38 3 0 03 Oct 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning N. Raichur Lucas Heublein Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott CLL BDL 55 7 0 17 May 2024