Work
Master of Science
Address: SINTEF Digital, Forskningsveien 1, 0373 Oslo, Norway
E-mail: erik.husom@sintef.no
Projects
Erdre . A machine learning pipeline for time series data.
UDAVA . Unsupervised data validation.
Publications
4. Erik Johannes Husom, Simeon Tverdal, Arda Goknil, Sagar Sen. UDAVA: An Unsupervised Learning Pipeline for Sensor Data Validation in Manufacturing . 2022 IEEE/ACM 1st International Conference on AI Engineering–Software Engineering for AI (CAIN). 2022-05-16. Conference paper.
3. Erik Johannes B. L. G Husom, Pierre Bernabé, Sagar Sen. Deep learning to predict power output from respiratory inductive plethysmography data . Applied AI Letters. 2022-04. Journal article.
2. Nicolas Jourdan, Sagar Sen, Erik Johannes Husom, Enrique Garcia-Ceja, Tobias Biegel, Joachim Metternich. On The Reliability Of Machine Learning Applications In Manufacturing Environments . Workshop on Distribution Shifts, 35th Conference on Neural Information Processing Systems (NeurIPS 2021). 2021-12-19. Conference paper.
1. Sagar Sen, Pierre Bernabé, Erik Johannes B. L. G. Husom. DeepVentilation: Learning to Predict Physical Effort from Breathing . Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. 2020-07. Conference paper.
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Copyright: ©2018-2022 Erik Johannes Husom. All rights reserved.