Holger Trittenbach

20 papers A 2B 2Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting. CoRR Felix Assion, Florens Greßner, Nitin Augustine, Jona Klemenc, Ahmed Hammam, Alexandre Krattinger, Holger Trittenbach, Sascha Riemer
2023	J	`jnl`	Selecting Models based on the Risk of Damage Caused by Adversarial Attacks. CoRR Jona Klemenc, Holger Trittenbach
2022	J	`jnl`	An Empirical Evaluation of Constrained Feature Selection. SN Comput. Sci. Jakob Bach, Kolja Zoller, Holger Trittenbach, Katrin Schulz, Klemens Böhm
2022	J	`jnl`	Efficient SVDD sampling with approximation guarantees for the decision boundary. Mach. Learn. Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm
2022	J	`jnl`	Explaining Any ML Model? - On Goals and Capabilities of XAI. CoRR Moritz Renftle, Holger Trittenbach, Michael Poznic, Reinhard Heil
2021	J	`jnl`	An overview and a benchmark of active learning for outlier detection with one-class classifiers. Expert Syst. Appl. Holger Trittenbach, Adrian Englhardt, Klemens Böhm
2020	B	`conf`	Active Learning of SVDD Hyperparameter Values. DSAA Holger Trittenbach, Klemens Böhm, Ira Assent
2020	J	`jnl`	Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary. CoRR Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm
2020	A	`conf`	Finding the Sweet Spot: Batch Selection for One-Class Active Learning. SDM Adrian Englhardt, Holger Trittenbach, Dennis Vetter, Klemens Böhm
2020	—	`—`	User-Centric Active Learning for Outlier Detection. Holger Trittenbach
2019	J	`jnl`	Active Learning of SVDD Hyperparameter Values. CoRR Holger Trittenbach, Klemens Böhm, Ira Assent
2019	J	`jnl`	Dimension-based subspace search for outlier detection. Int. J. Data Sci. Anal. Holger Trittenbach, Klemens Böhm
2019	—	`conf`	Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions. e-Energy Michael Vollmer, Adrian Englhardt, Holger Trittenbach, Pawel Bielski, Shahab Karrari, Klemens Böhm
2019	A	`conf`	One-Class Active Learning for Outlier Detection with Multiple Subspaces. CIKM Holger Trittenbach, Klemens Böhm
2019	—	`conf`	The Effect of Temporal Aggregation on Battery Sizing for Peak Shaving. e-Energy Dominik Werle, Daniel Warzel, Simon Bischof, Anne Koziolek, Holger Trittenbach, Klemens Böhm
2019	J	`jnl`	Understanding the effects of temporal energy-data aggregation on clustering quality. it Inf. Technol. Holger Trittenbach, Jakob Bach, Klemens Böhm
2018	J	`jnl`	An Overview and a Benchmark of Active Learning for One-Class Classification. CoRR Holger Trittenbach, Adrian Englhardt, Klemens Böhm
2018	—	`conf`	HIPE: An Energy-Status-Data Set from Industrial Production. e-Energy Simon Bischof, Holger Trittenbach, Michael Vollmer, Dominik Werle, Thomas Blank, Klemens Böhm
2018	—	`conf`	On the Tradeoff between Energy Data Aggregation and Clustering Quality. e-Energy Holger Trittenbach, Jakob Bach, Klemens Böhm
2018	B	`conf`	Towards Simulation-Data Science - A Case Study on Material Failures. DSAA Holger Trittenbach, Martin Gauch, Klemens Böhm, Katrin Schulz