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Understanding the effects of temporal energy-data aggregation on clustering quality., , and . it Inf. Technol., 61 (2-3): 111-123 (2019)Towards Simulation-Data Science - A Case Study on Material Failures., , , and . DSAA, page 450-459. IEEE, (2018)User-Centric Active Learning for Outlier Detection.. Karlsruhe Institute of Technology, Germany, (2020)Finding the Sweet Spot: Batch Selection for One-Class Active Learning., , , and . SDM, page 118-126. SIAM, (2020)The conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume..An overview and a benchmark of active learning for outlier detection with one-class classifiers., , and . Expert Syst. Appl., (2021)The Effect of Temporal Aggregation on Battery Sizing for Peak Shaving., , , , , and . e-Energy, page 482-485. ACM, (2019)Dimension-based subspace search for outlier detection., and . Int. J. Data Sci. Anal., 7 (2): 87-101 (2019)Selecting Models based on the Risk of Damage Caused by Adversarial Attacks., and . CoRR, (2023)Active Learning of SVDD Hyperparameter Values., , and . CoRR, (2019)Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary, , , , and . arXiv e-prints, (2020)