Erik Johannes

Work

• Master of Science
  • └── Research group: Trustworthy Green IoT Software
    • └── Department: Sustainable Communication Technologies
      • └── Research institution: SINTEF Digital
• 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.