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Books and Theses
- 2020
[b1]Christian Reich:
Learning machine monitoring models from sparse and noisy sensor data annotations (Lernen von Modellen zur Maschinenüberwachung aus spärlichen und verrauschten Sensordatenannotationen). Siegen University, Germany, 2020
Journal Articles
- 2022
- [j2]Rashmie Abeysinghe
, Adam Black, Denys Kaduk, Yupeng Li, Christian Reich, Alexander Davydov, Lixia Yao, Licong Cui:
Towards quality improvement of vaccine concept mappings in the OMOP vocabulary with a semi-automated method. J. Biomed. Informatics 134: 104162 (2022) - 2019
- [j1]Christian Reich, Ahmad Mansour, Kristof Van Laerhoven:
Collecting Labels for Rare Anomalies via Direct Human Feedback - An Industrial Application Study. Informatics 6(3): 38 (2019)
Conference and Workshop Papers
- 2021
- [c5]Ines Reinecke, Michéle Zoch, Christian Reich, Martin Sedlmayr, Franziska Bathelt:
The Usage of OHDSI OMOP - A Scoping Review. GMDS 2021: 95-103 - 2020
- [c4]Azadeh Shoaibi, Hui-Lee Wong, Christian Reich, Keran Moll, Tina Hernandez-Boussard:
The Food and Drug Administration (FDA) Center for Biologics Evaluation and Research (CBER) Biologics Effectiveness and Safety (BEST) Initiative: How Informatics Can Assist the Secondary Use of Electronic Health Records to Inform Regulatory Decisions. AMIA 2020 - 2019
- [c3]Christian Reich, Christina Nicolaou, Ahmad Mansour, Kristof Van Laerhoven:
Bayesian Estimation of Recurrent Changepoints for Signal Segmentation and Anomaly Detection. EUSIPCO 2019: 1-5 - [c2]Christian Reich, Christina Nicolaou, Ahmad Mansour, Kristof Van Laerhoven:
Detection of Machine Tool Anomalies from Bayesian Changepoint Recurrence Estimation. INDIN 2019: 1297-1302 - 2018
- [c1]Christian Reich, Ahmad Mansour, Kristof Van Laerhoven:
Embedding Intelligent Features for Vibration-Based Machine Condition Monitoring. EUSIPCO 2018: 371-375
Coauthor Index
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