2 citations · 2 across the 2 of their papers we have counts for
3 papers
Deep recurrent Gaussian process with variational Sparse Spectrum approximation
Roman Föll, Bernard Haasdonk, Markus Hanselmann +1
Modeling sequential data has become more and more important in practice. Some applications are autonomous driving, virtual sensors and weather forecasting. To model such systems, s…
CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data
Markus Hanselmann, Thilo Strauss, Katharina Dormann +1
We propose a novel neural network architecture for detecting intrusions on the CAN bus. The Controller Area Network (CAN) is the standard communication method between the Electroni…
Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation
Roman Föll, Bernard Haasdonk, Markus Hanselmann +1
Modeling sequential data has become more and more important in practice. Some applications are autonomous driving, virtual sensors and weather forecasting. To model such systems so…