Deep learning to predict power output from respiratory inductive plethysmography data
Husom, Erik Johannes B. L. G, Bernabé, Pierre, Sen, Sagar
Published in Applied AI Letters (01.04.2022)
Published in Applied AI Letters (01.04.2022)
Get full text
Journal Article
Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline
Sen, Sagar, Husom, Erik Johannes, Goknil, Arda, Politaki, Dimitra, Tverdal, Simeon, Nguyen, Phu, Jourdan, Nicolas
Published in Computers in industry (01.08.2023)
Published in Computers in industry (01.08.2023)
Get full text
Journal Article
Taming Data Quality in AI-Enabled Industrial Internet of Things
Sen, Sagar, Husom, Erik Johannes, Goknil, Arda, Tverdal, Simeon, Nguyen, Phu, Mancisidor, Iker
Published in IEEE software (01.11.2022)
Published in IEEE software (01.11.2022)
Get full text
Journal Article
Uncertainty-aware Virtual Sensors for Cyber-Physical Systems
Sen, Sagar, Husom, Erik Johannes, Goknil, Arda, Tverdal, Simeon, Nguyen, Phu
Published in IEEE software (01.03.2024)
Published in IEEE software (01.03.2024)
Get full text
Journal Article
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing
Isaja, Mauro, Nguyen, Phu, Goknil, Arda, Sen, Sagar, Husom, Erik Johannes, Tverdal, Simeon, Anand, Abhilash, Jiang, Yunman, Pedersen, Karl John, Myrseth, Per, Stang, Jørgen, Niavis, Harris, Pfeifhofer, Simon, Lamplmair, Patrick
Published in Computers in industry (01.04.2023)
Published in Computers in industry (01.04.2023)
Get full text
Journal Article
AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization
Shar, Lwin Khin, Goknil, Arda, Husom, Erik Johannes, Sen, Sagar, Tun, Yan Naing, Kim, Kisub
Published in 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) (11.09.2023)
Published in 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) (11.09.2023)
Get full text
Conference Proceeding
Latency-Aware Node Selection in Federated Learning
Dautov, Rustem, Husom, Erik Johannes
Published in 2024 IFIP Networking Conference (IFIP Networking) (03.06.2024)
Published in 2024 IFIP Networking Conference (IFIP Networking) (03.06.2024)
Get full text
Conference Proceeding
Engineering Carbon Emission-aware Machine Learning Pipelines
Husom, Erik Johannes, Sen, Sagar, Goknil, Arda
Published in 2024 IEEE/ACM 3rd International Conference on AI Engineering – Software Engineering for AI (CAIN) (14.04.2024)
Get full text
Published in 2024 IEEE/ACM 3rd International Conference on AI Engineering – Software Engineering for AI (CAIN) (14.04.2024)
Conference Proceeding
UDAVA: An Unsupervised Learning Pipeline for Sensor Data Validation in Manufacturing
Husom, Erik Johannes, Tverdal, Simeon, Goknil, Arda, Sen, Sagar
Published in 2022 IEEE/ACM 1st International Conference on AI Engineering – Software Engineering for AI (CAIN) (01.05.2022)
Published in 2022 IEEE/ACM 1st International Conference on AI Engineering – Software Engineering for AI (CAIN) (01.05.2022)
Get full text
Conference Proceeding
Replay-Driven Continual Learning for the Industrial Internet of Things
Sen, Sagar, Nielsen, Simon Myklebust, Husom, Erik Johannes, Goknil, Arda, Tverdal, Simeon, Pinilla, Leonardo Sastoque
Published in 2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN) (01.05.2023)
Published in 2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN) (01.05.2023)
Get full text
Conference Proceeding
Bridging the Gap Between Java and Python in Mobile Software Development to Enable MLOps
Dautov, Rustem, Husom, Erik Johannes, Gonidis, Fotis, Papatzelos, Spyridon, Malamas, Nikolaos
Published in 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (10.10.2022)
Published in 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (10.10.2022)
Get full text
Conference Proceeding
On The Reliability Of Machine Learning Applications In Manufacturing Environments
Jourdan, Nicolas, Sen, Sagar, Husom, Erik Johannes, Garcia-Ceja, Enrique, Biegel, Tobias, Metternich, Joachim
Year of Publication 13.12.2021
Year of Publication 13.12.2021
Get full text
Journal Article