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"Which deep artifical neural network architecture to use for anomaly ..."

Oliver Rettig et al. (2018)

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DOI: 10.1007/978-3-662-58485-9_7

access: open

type: Conference or Workshop Paper

metadata version: 2020-01-31

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  dblp key:
  - conf/ml4cps/RettigMSK18
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  - https://dblp.org/rec/conf/ml4cps/RettigMSK18
Oliver Rettig, Silvan Müller, Marcus Strand, Darko Katic:
Which deep artifical neural network architecture to use for anomaly detection in Mobile Robots kinematic data? ML4CPS 2018: 58-65

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