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Found 4 papers, 1 papers with code
Detecting 5G Narrowband Jammers with CNN, k-nearest Neighbors, and Support Vector Machines
One mitigation approach is to detect such jamming attacks with an online observation system, based on machine learning.
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis
Data analysis often requires methods that are invariant with respect to specific transformations, such as rotations in case of images or shifts in case of images and time series.
Monitoring Machine Learning Models: Online Detection of Relevant Deviations
Our research contributes a practical solution for distinguishing between minor fluctuations and meaningful degradations in machine learning model performance, ensuring their reliability in dynamic environments.
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
It is desirable for statistical models to detect signals of interest independently of their position.
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