Erik Johannes Husom

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Unsupervised Learning

Machine Learning

Fault Tolerance

Top Venues

Publications

Rustem Dautov, Erik Johannes Husom
Drowsiness Detection Using Federated Learning: Lessons Learnt from Dealing with Non-IID Data. PETRA (2024)
Donatella Firmani, Francesco Leotta, Jerin George Mathew, Jacopo Rossi, Lorenzo Balzotti, Hui Song, Dumitru Roman, Rustem Dautov, Erik Johannes Husom, Sagar Sen, Vilija Balionyte-Merle, Andrea Morichetta, Schahram Dustdar, Thijs Metsch, Valerio Frascolla, Ahmed Khalid, Giada Landi, Juan Brenes, Ioan Toma, Róbert Szabó, Christian Schaefer, Cosmin Udroiu, Alexandre Ulisses, Verena Pietsch, Sigmund Akselsen, Arne Munch-Ellingsen, Irena Pavlova, Hong-Gee Kim, Changsoo Kim, Bob Allen, Sunwoo Kim, Paulson Eberechukwu
INTEND: Intent-Based Data Operation in the Computing Continuum. CAiSE Research Projects Exhibition (2024)
Sagar Sen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Phu Hong Nguyen
Uncertainty-Aware Virtual Sensors for Cyber-Physical Systems. IEEE Softw. 41 (2) (2024)
Rustem Dautov, Erik Johannes Husom
Raft Protocol for Fault Tolerance and Self-Recovery in Federated Learning. SEAMS@ICSE (2024)
Erik Johannes Husom, Arda Goknil, Lwin Khin Shar, Sagar Sen
The Price of Prompting: Profiling Energy Use in Large Language Models Inference. CoRR (2024)
Erik Johannes Husom, Sagar Sen, Arda Goknil
Engineering Carbon Emission-aware Machine Learning Pipelines. CAIN (2024)
Mauro Isaja, Phu Hong Nguyen, Arda Goknil, Sagar Sen, Erik Johannes Husom, Simeon Tverdal, Abhilash Anand, Yunman Jiang, Karl John Pedersen, Per Myrseth, Jørgen Stang, Harris Niavis, Simon Pfeifhofer, Patrick Lamplmair
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing. Comput. Ind. 146 (2023)
Lwin Khin Shar, Arda Goknil, Erik Johannes Husom, Sagar Sen, Yan Naing Tun, Kisub Kim
AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization. ASE (2023)
Sagar Sen, Simon Myklebust Nielsen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Leonardo Sastoque Pinilla
Replay-Driven Continual Learning for the Industrial Internet of Things. CAIN (2023)
Simeon Tverdal, Arda Goknil, Phu Hong Nguyen, Erik Johannes Husom, Sagar Sen, Jan Ruh, Francesca Flamigni
Edge-based Data Profiling and Repair as a Service for IoT. IoT (2023)
Erik Johannes Husom, Sagar Sen, Arda Goknil, Simeon Tverdal, Phu Hong Nguyen
REPTILE: a Tool for Replay-driven Continual Learning in IIoT. IoT (2023)
Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Sagar Sen, Phu Hong Nguyen
Automated Behavior Labeling for IIoT Data. IoT (2023)
Rustem Dautov, Erik Johannes Husom, Sagar Sen, Hui Song
Towards Community-Driven Generative AI. FedCSIS (Position Papers) (2023)
Sagar Sen, Erik Johannes Husom, Arda Goknil, Dimitra Politaki, Simeon Tverdal, Phu Hong Nguyen, Nicolas Jourdan
. Comput. Ind. 149 (2023)
Erik Johannes Husom, Simeon Tverdal, Arda Goknil, Sagar Sen
UDAVA: an unsupervised learning pipeline for sensor data validation in manufacturing. CAIN (2022)
Erik Johannes Husom, Rustem Dautov, Adela-Aniela Nedisan, Fotis Gonidis, Spyridon Papatzelos, Nikolaos Malamas
Machine Learning for Fatigue Detection using Fitbit Fitness Trackers. icSPORTS (2022)
Rustem Dautov, Erik Johannes Husom, Fotis Gonidis, Spyridon Papatzelos, Nikolaos Malamas
Bridging the Gap Between Java and Python in Mobile Software Development to Enable MLOps. WiMob (2022)
Sagar Sen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Phu Hong Nguyen, Iker Mancisidor
Taming Data Quality in AI-Enabled Industrial Internet of Things. IEEE Softw. 39 (6) (2022)
Nicolas Jourdan, Sagar Sen, Erik Johannes Husom, Enrique Garcia-Ceja, Tobias Biegel, Joachim Metternich
On The Reliability Of Machine Learning Applications In Manufacturing Environments. CoRR (2021)