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stat.ML2018★ 113 cited
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection
Björn Barz, Erik Rodner, Yanira Guanche Garcia +1
Automatic detection of anomalies in space- and time-varying measurements is an important tool in several fields, e.g., fraud detection, climate analysis, or healthcare monitoring.…
stat.ML2016★ 1 cited
Maximally Divergent Intervals for Anomaly Detection
Erik Rodner, Björn Barz, Yanira Guanche +5
We present new methods for batch anomaly detection in multivariate time series. Our methods are based on maximizing the Kullback-Leibler divergence between the data distribution wi…