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Erik Johannes Husom
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2020 – today
- 2024
- [j4]Sagar Sen
, Erik Johannes Husom
, Arda Goknil
, Simeon Tverdal
, Phu Hong Nguyen
:
Uncertainty-Aware Virtual Sensors for Cyber-Physical Systems. IEEE Softw. 41(2): 77-87 (2024) - [c14]Erik Johannes Husom
, Sagar Sen
, Arda Goknil
:
Engineering Carbon Emission-aware Machine Learning Pipelines. CAIN 2024: 118-128 - [c13]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: 43-50 - [c12]Rustem Dautov
, Erik Johannes Husom
:
Drowsiness Detection Using Federated Learning: Lessons Learnt from Dealing with Non-IID Data. PETRA 2024 - [c11]Rustem Dautov
, Erik Johannes Husom
:
Raft Protocol for Fault Tolerance and Self-Recovery in Federated Learning. SEAMS@ICSE 2024: 110-121 - 2023
- [j3]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: 103853 (2023) - [j2]Sagar Sen, Erik Johannes Husom
, Arda Goknil
, Dimitra Politaki, Simeon Tverdal, Phu Hong Nguyen, Nicolas Jourdan:
Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline. Comput. Ind. 149: 103917 (2023) - [c10]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: 43-55 - [c9]Rustem Dautov, Erik Johannes Husom, Sagar Sen, Hui Song:
Towards Community-Driven Generative AI. FedCSIS (Position Papers) 2023: 43-50 - [c8]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: 17-24 - [c7]Erik Johannes Husom
, Arda Goknil
, Simeon Tverdal
, Sagar Sen
, Phu Hong Nguyen
:
Automated Behavior Labeling for IIoT Data. IoT 2023: 174-178 - [c6]Erik Johannes Husom
, Sagar Sen
, Arda Goknil
, Simeon Tverdal
, Phu Hong Nguyen
:
REPTILE: a Tool for Replay-driven Continual Learning in IIoT. IoT 2023: 204-207 - [c5]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: 1326-1338 - 2022
- [j1]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): 35-42 (2022) - [c4]Erik Johannes Husom, Simeon Tverdal, Arda Goknil, Sagar Sen:
UDAVA: an unsupervised learning pipeline for sensor data validation in manufacturing. CAIN 2022: 159-169 - [c3]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: 41-52 - [c2]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: 363-368 - 2021
- [i1]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 abs/2112.06986 (2021) - 2020
- [c1]Sagar Sen, Pierre Bernabé, Erik Johannes B. L. G. Husom
:
DeepVentilation: Learning to Predict Physical Effort from Breathing. IJCAI 2020: 5231-5233
Coauthor Index
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last updated on 2024-07-05 21:05 CEST by the dblp team
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