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Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
31 March 2025
Lucas Heublein
N. Raichur
Tobias Feigl
Tobias Brieger
Fin Heuer
Lennart Asbach
A. Rügamer
Felix Ott
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Papers citing
"Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies"
5 / 5 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
21
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
40
5
0
31 Dec 2024
Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling
Lucas Heublein
Tobias Feigl
A. Rügamer
Felix Ott
30
3
0
03 Oct 2024
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization
Lucas Heublein
Tobias Feigl
Thorsten Nowak
A. Rügamer
Christopher Mutschler
Felix Ott
21
6
0
23 Sep 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
50
7
0
17 May 2024
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