1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.SP2025
Large-Scale Classification of Shortwave Communication Signals with Machine Learning
Stefan Scholl
This paper presents a deep learning approach to the classification of 160 shortwave radio signals. It addresses the typical challenges of the shortwave spectrum, which are the larg…
cs.LG2024★ 1 cited
Comparison of Embedded Spaces for Deep Learning Classification
Stefan Scholl
Embedded spaces are a key feature in deep learning. Good embedded spaces represent the data well to support classification and advanced techniques such as open-set recognition, few…