Erik Johannes Husom

According to our database, Erik Johannes Husom authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback.

Sagar Sen, Victor Gonzalez, Erik Johannes Husom, Simeon Tverdal, Shukun Tokas, Svein O. Tjøsvoll

Appl. Intell., December, 2024

Uncertainty-Aware Virtual Sensors for Cyber-Physical Systems.

Sagar Sen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Phu Hong Nguyen

IEEE Softw., 2024

The Price of Prompting: Profiling Energy Use in Large Language Models Inference.

Erik Johannes Husom, Arda Goknil, Lwin Khin Shar, Sagar Sen

CoRR, 2024

Raft Protocol for Fault Tolerance and Self-Recovery in Federated Learning.

Rustem Dautov, Erik Johannes Husom

Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2024

INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum.

Rustem Dautov, Hui Song, Dumitru Roman, Erik Johannes Husom, Sagar Sen, Vilija Balionyte-Merle, Donatella Firmani, Francesco Leotta, Jerin George Mathew, Jacopo Rossi, Lorenzo Balzotti, Andrea Morichetta, Schahram Dustdar, Thijs Metsch, Valerio Frascolla, Ahmed Khalid, Giada Landi, Juan Brenes, Ioan Toma, Róbert Szabó, Christian Schaefer, Seonghyun Kim, Cosmin Udroiu, Alexandre Ulisses, Verena Pietsch, Sigmund Akselsen, Arne Munch-Ellingsen, Irena Pavlova, Dessislava Petrova-Antonova, Hong-Gee Kim, Changsoo Kim, Bob Allen, Sunwoo Kim, Paulson Eberechukwu

Proceedings of the Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning co-located with 20th Reasoning Web Summer School (RW 2024) and 16th DecisionCAMP 2024 as part of Declarative AI 2024, 2024

Drowsiness Detection Using Federated Learning: Lessons Learnt from Dealing with Non-IID Data.

Rustem Dautov, Erik Johannes Husom

Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024

Latency-Aware Node Selection in Federated Learning.

Rustem Dautov, Erik Johannes Husom

Proceedings of the IFIP Networking Conference, 2024

INTEND: Intent-Based Data Operation in the Computing Continuum.

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

Proceedings of the Research Projects Exhibition Papers Presented at the 36th International Conference on Advanced Information Systems Engineering(CAiSE 2024), 2024

Engineering Carbon Emission-aware Machine Learning Pipelines.

Erik Johannes Husom, Sagar Sen, Arda Goknil

Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

2023

Virtual sensors for erroneous data repair in manufacturing <i>a machine learning pipeline</i>.

Sagar Sen, Erik Johannes Husom, Arda Goknil, Dimitra Politaki, Simeon Tverdal, Phu Hong Nguyen, Nicolas Jourdan

Comput. Ind., August, 2023

A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing.

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

Comput. Ind., April, 2023

AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization.

Lwin Khin Shar, Arda Goknil, Erik Johannes Husom, Sagar Sen, Yan Naing Tun, Kisub Kim

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Edge-based Data Profiling and Repair as a Service for IoT.

Simeon Tverdal, Arda Goknil, Phu Hong Nguyen, Erik Johannes Husom, Sagar Sen, Jan Ruh, Francesca Flamigni

Proceedings of the 13th International Conference on the Internet of Things, 2023

REPTILE: a Tool for Replay-driven Continual Learning in IIoT.

Erik Johannes Husom, Sagar Sen, Arda Goknil, Simeon Tverdal, Phu Hong Nguyen

Proceedings of the 13th International Conference on the Internet of Things, 2023

Automated Behavior Labeling for IIoT Data.

Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Sagar Sen, Phu Hong Nguyen

Proceedings of the 13th International Conference on the Internet of Things, 2023

Towards Community-Driven Generative AI.

Rustem Dautov, Erik Johannes Husom, Sagar Sen, Hui Song

Proceedings of the Position Papers of the 18th Conference on Computer Science and Intelligence Systems, 2023

Replay-Driven Continual Learning for the Industrial Internet of Things.

Sagar Sen, Simon Myklebust Nielsen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Leonardo Sastoque Pinilla

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

2022

Taming Data Quality in AI-Enabled Industrial Internet of Things.

Sagar Sen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Phu Hong Nguyen, Iker Mancisidor

IEEE Softw., 2022

Bridging the Gap Between Java and Python in Mobile Software Development to Enable MLOps.

Rustem Dautov, Erik Johannes Husom, Fotis Gonidis, Spyridon Papatzelos, Nikolaos Malamas

Proceedings of the 18th International Conference on Wireless and Mobile Computing, 2022

Machine Learning for Fatigue Detection using Fitbit Fitness Trackers.

Erik Johannes Husom, Rustem Dautov, Adela-Aniela Nedisan, Fotis Gonidis, Spyridon Papatzelos, Nikolaos Malamas

Proceedings of the 10th International Conference on Sport Sciences Research and Technology Support, 2022

UDAVA: an unsupervised learning pipeline for sensor data validation in manufacturing.

Erik Johannes Husom, Simeon Tverdal, Arda Goknil, Sagar Sen

Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

2021

On The Reliability Of Machine Learning Applications In Manufacturing Environments.

Nicolas Jourdan, Sagar Sen, Erik Johannes Husom, Enrique Garcia-Ceja, Tobias Biegel, Joachim Metternich

CoRR, 2021

2020

DeepVentilation: Learning to Predict Physical Effort from Breathing.

Sagar Sen, Pierre Bernabé, Erik Johannes B. L. G. Husom

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020