| A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing M Isaja, P Nguyen, A Goknil, S Sen, EJ Husom, S Tverdal, A Anand, ... Computers in Industry 146, 103853, 2023 | 36 | 2023 |
| Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline S Sen, EJ Husom, A Goknil, D Politaki, S Tverdal, P Nguyen, N Jourdan Computers in Industry 149, 103917, 2023 | 26 | 2023 |
| Taming data quality in AI-enabled industrial internet of things S Sen, EJ Husom, A Goknil, S Tverdal, P Nguyen, I Mancisidor IEEE Software 39 (6), 35-42, 2022 | 18 | 2022 |
| On the reliability of machine learning applications in manufacturing environments N Jourdan, S Sen, EJ Husom, E Garcia-Ceja, T Biegel, J Metternich arXiv preprint arXiv:2112.06986, 2021 | 18 | 2021 |
| UDAVA: An unsupervised learning pipeline for sensor data validation in manufacturing EJ Husom, S Tverdal, A Goknil, S Sen Proceedings of the 1st International Conference on AI Engineering: Software …, 2022 | 12 | 2022 |
| Replay-driven continual learning for the industrial internet of things S Sen, SM Nielsen, EJ Husom, A Goknil, S Tverdal, LS Pinilla 2023 IEEE/ACM 2nd International Conference on AI Engineering–Software …, 2023 | 9 | 2023 |
| Bridging the gap between java and python in mobile software development to enable mlops R Dautov, EJ Husom, F Gonidis, S Papatzelos, N Malamas 2022 18th International Conference on Wireless and Mobile Computing …, 2022 | 7 | 2022 |
| Machine learning for fatigue detection using Fitbit fitness trackers EJ Husom, R Dautov, A Nedisan Videsjorden, F Gonidis, S Papatzelos, ... Proceedings of the 10th International Conference on Sport Sciences Research …, 2022 | 7 | 2022 |
| Intend: Intent-based data operation in the computing continuum D Firmani, F Leotta, JG Mathew, J Rossi, L Balzotti, H Song, D Roman, ... CEUR Workshop Proceedings 3692, 43-50, 2024 | 6 | 2024 |
| Towards community-driven generative AI R Dautov, EJ Husom, S Sen, H Song Position papers of the 18th conference on computer science and intelligence …, 2023 | 6 | 2023 |
| Edge-based Data Profiling and Repair as a Service for IoT S Tverdal, A Goknil, P Nguyen, EJ Husom, S Sen, J Ruh, F Flamigni Proceedings of the 13th International Conference on the Internet of Things …, 2023 | 5 | 2023 |
| Uncertainty-aware Virtual Sensors for Cyber-Physical Systems S Sen, EJ Husom, A Goknil, S Tverdal, P Nguyen IEEE Software 41 (2), 77-87, 2023 | 5 | 2023 |
| Raft Protocol for Fault Tolerance and Self-Recovery in Federated Learning R Dautov, EJ Husom Proceedings of the 19th International Symposium on Software Engineering for …, 2024 | 4 | 2024 |
| DeepVentilation: learning to predict physical effort from breathing S Sen, P Bernabé, EJBLG Husom Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 4 | 2021 |
| ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback S Sen, V Gonzalez, EJ Husom, S Tverdal, S Tokas, SO Tjøsvoll Applied Intelligence 54 (23), 12128-12155, 2024 | 3 | 2024 |
| Engineering Carbon Emission-aware Machine Learning Pipelines EJ Husom, S Sen, A Goknil Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering …, 2024 | 3 | 2024 |
| Towards MLOps in mobile development with a plug-in architecture for data analytics R Dautov, EJ Husom, F Gonidis 2022 6th International Conference on Computer, Software and Modeling (ICCSM …, 2022 | 3 | 2022 |
| Deep learning to predict power output from respiratory inductive plethysmography data EJBLG Husom, P Bernabé, S Sen Applied AI Letters 3 (2), e65, 2022 | 3 | 2022 |
| The Price of Prompting: Profiling Energy Use in Large Language Models Inference EJ Husom, A Goknil, LK Shar, S Sen arXiv preprint arXiv:2407.16893, 2024 | 2 | 2024 |
| Drowsiness detection using federated learning: lessons learnt from dealing with non-IID data R Dautov, EJ Husom Proceedings of the 17th International Conference on PErvasive Technologies …, 2024 | 2 | 2024 |
