26 citations · 30 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 4 cited
Learning Ensembles of Anomaly Detectors on Synthetic Data
D. Smolyakov, N. Sviridenko, V. Ishimtsev +2
The main aim of this work is to develop and implement an automatic anomaly detection algorithm for meteorological time-series. To achieve this goal we develop an approach to constr…
stat.ML2017★ 26 cited
Model Selection for Anomaly Detection
Evgeny Burnaev, Pavel Erofeev, Dmitry Smolyakov
Anomaly detection based on one-class classification algorithms is broadly used in many applied domains like image processing (e.g. detection of whether a patient is "cancerous" or…