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20172026
most citedFast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection

5 citations · 9 across the 11 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.NE2021★ 5 cited

Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection

M. Pietroń, D. Żurek, K. Faber +1

Neuroevolution is one of the methodologies that can be used for learning optimal architecture during training. It uses evolutionary algorithms to generate the topology of artificia…

cs.LG2021

Ensemble neuroevolution based approach for multivariate time series anomaly detection

Kamil Faber, Dominik Żurek, Marcin Pietroń +1

Multivariate time series anomaly detection is a very common problem in the field of failure prevention. Fast prevention means lower repair costs and losses. The amount of sensors i…