Arik Ermshaus
Overview
I'm a PhD student at WBI, Humboldt University in Berlin Germany. My main research focus is time series analytics, specifically segmentation.
Contact
Mail: ermshaua(...)informatik.hu-berlin.de
Telephone: +49 (0) 30-2093-41290
Address: Rudower Chaussee 25, IV.404, 12489 Berlin, Germany
Teaching
Implementation of Databases (Tutorial, 2023/2024)
Statistics and Data Science (Tutorial, 2023)
Data Collection and Analysis of Human Processes (Semester Project, 2022/2023)
Algorithms and Data Structures (Tutorial, 2022)
Information Integration (Tutorial, 2021/2022)
Algorithms and Data Structures (Tutorial, 2021)
Research
Ermshaus, A., Piechotta, M., Rüter, G., Keilholz, U., Leser, U. & Benary, M. (2024, March). preon: Fast and accurate entity normalization for drug names and cancer types in precision oncology. Bioinformatics.
Ermshaus, A., Schäfer, P., Bagnall, A., Guyet, T., Ifrim, G., Lemaire, V., Leser, U., Leverger, C. & Malinowski, S. (2023, September). Human Activity Segmentation Challenge @ ECML/PKDD’23. Workshop on Advanced Analytics and Learning on Temporal Data. Turin, Italy.
Ermshaus, A., Singh, S. & Leser, U. (2023, March). Time Series Segmentation Applied to a New Data Set for Mobile Sensing of Human Activities. Data Analytics solutions for Real-LIfe APplications. Ioannina, Greece
Ermshaus, A., Schäfer, P. & Leser, U. (2023, February). ClaSP: parameter-free time series segmentation. Data Mining and Knowledge Discovery.
Ermshaus, A., Schäfer, P. & Leser, U. (2022, September). Window Size Selection In Unsupervised Time Series Analytics: A Review and Benchmark. Workshop on Advanced Analytics and Learning on Temporal Data. Grenoble, France.
*Schäfer, P., *Ermshaus, A., & Leser, U. (2021, October). ClaSP - Time Series Segmentation. Proceedings of the 30th ACM International Conference on Information & Knowledge Management (pp. 1578-1587).
*These authors contributed equally
Talks
Human Activity Segmentation Challenge. (2023, September). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy.
Time Series Segmentation Applied to a New Data Set for Mobile Sensing of Human Activities. (2023, March). International workshop on Data Analytics solutions for Real-LIfe APplications. Ioannina, Greece.
Time Series Segmentation Techniques for Biosignal Analysis. (2023, March). Digital Health - Connected Healthcare. Hasso-Plattner-Institut. Potsdam, Germany.
Recent advances in time series segmentation. (2022, November). Sktime Developer Days. Online. (Video)
Window Size Selection In Unsupervised Time Series Analytics: A Review and Benchmark. (2022, September). Workshop on Advanced Analytics and Learning on Temporal Data. Grenoble, France. (Slides)
ClaSP - Time Series Segmentation. (2021, October). International Conference on Information & Knowledge Management. Online.
Multi-dataset Time Series Anomaly Detection Competition Rank 7 Solution. (2021, August). Knowledge Discovery and Data Mining. Online. (Video)
Open Source
aeon - a unified framework for machine learning with time series (Contributor)
claspy - a Python package for time series segmentation (Maintainer)
preon - a fuzzy search tool for medical entities (Maintainer)
Time Series Segmentation Benchmark (TSSB) - a benchmark dataset, including loaders and metrics (Maintainer)