Martin Schiegg

Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models

2015

Automated cell tracking methods are still error-prone. On very large data sets, uncertainty measures are thus needed to guide the expert to the most ambiguous events so these can be corrected with minimal effort. We …

Time series anomaly detection based on shapelet learning

2018 · Computational Statistics

We consider the problem of learning to detect anomalous time series from an unlabeled data set, possibly contaminated with anomalies in the training data. This scenario is important for applications in medicine, economics, or industrial …