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ORCIDErik Johannes Husom
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2020 – today
- 2026
[j9]Rustem Dautov
, Erik Johannes Husom:
Controlled Self-Recovery of the Aggregator in Federated Learning Using RAFT Protocol. ACM Trans. Auton. Adapt. Syst. 21(3): 26:1-26:30 (2026)- [j8]Erik Johannes Husom, Arda Goknil, Felix Mannhardt, Simeon Tverdal, Sagar Sen, Phu Hong Nguyen:
Unsupervised Learning and Process Analysis for Sensor Data Validation in the IIoT. ACM Trans. Internet Techn. 26(2): 17:1-17:34 (2026) - [i6]Maria Emine Nylund, Erik Johannes Husom, Ophelia Prillard:
Overview over the first decade of LIMITS. CoRR abs/2605.30543 (2026) - [i5]Arash Nikzad, Sasan Sarbishegi, Ali Dasmeh, Muhammad Asif, Parsa Gharavi, Erik Johannes Husom, Sagar Sen, Andrew B. Lehr, Olivier Penacchio, Ana Clemente, Tristan M. Stöber:
Differentiable Clone-Structured Causal Graphs for End-to-End Cognitive Map Learning from Image Sequences. CoRR abs/2607.12382 (2026) - [i4]Erik Johannes Husom, Maria Emine Nylund, Ophelia Prillard:
Wasted large language models: A life cycle thinking approach. CoRR abs/2608.17055 (2026) - 2025
- [j7]Adela Nedisan Videsjorden, Arda Goknil, Sagar Sen, Erik Johannes Husom, Phu Hong Nguyen:
3D-DaVa: Enhancing 3D Point Cloud Data Reliability for Industrial Applications. ACM J. Data Inf. Qual. 17(1): 1-28 (2025) - [j6]Erik Johannes Husom, Arda Goknil, Merve Astekin, Lwin Khin Shar, Andre Kãsen, Sagar Sen, Benedikt Andreas Mithassel, Ahmet Soylu:
Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency. ACM Trans. Internet Things 6(4): 1-35 (2025) - [c19]Erik Johannes Husom, Rustem Dautov, Arda Goknil:
FedMAC: Federated Multi-Algorithm Clustering for Autonomic Systems. ACSOS-C 2025: 1-8 - [c18]Maria Ulan, Erik Johannes Husom, Jeriek Van den Abeele:
Talk is Cheap, Energy is Not: Towards a Green, Context-Aware Metrics Framework for Automatic Speech Recognition. ECML/PKDD (9) 2025: 36-54 - [i3]Erik Johannes Husom, Arda Goknil, Merve Astekin, Lwin Khin Shar, Andre Kåsen, Sagar Sen, Benedikt Andreas Mithassel, Ahmet Soylu:
Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency. CoRR abs/2504.03360 (2025) - 2024
- [j5]Sagar Sen, Victor Gonzalez, Erik Johannes Husom, Simeon Tverdal, Shukun Tokas, Svein O. Tjøsvoll:
ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback. Appl. Intell. 54(23): 12128-12155 (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) - [c17]Erik Johannes Husom, Sagar Sen, Arda Goknil:
Engineering Carbon Emission-aware Machine Learning Pipelines. CAIN 2024: 118-128 - [c16]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 - [c15]Arda Goknil, Phu Hong Nguyen, Erik Johannes Husom, Sagar Sen, Simeon Tverdal, Flavien Peysson, Dimitra Politaki, Roberto González-Velázquez:
Data Quality as a Service Framework for AI-Enabled Industrial Internet of Things. IoT 2024: 28-37 - [c14]Rustem Dautov, Erik Johannes Husom:
Latency-Aware Node Selection in Federated Learning. IFIP Networking 2024: 598-600 - [c13]Rustem Dautov, Erik Johannes Husom:
Drowsiness Detection Using Federated Learning: Lessons Learnt from Dealing with Non-IID Data. PETRA 2024 - [c12]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:
INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum. RuleML+RR (Companion) 2024 - [c11]Rustem Dautov, Erik Johannes Husom:
Raft Protocol for Fault Tolerance and Self-Recovery in Federated Learning. SEAMS@ICSE 2024: 110-121 - [i2]Erik Johannes Husom, Arda Goknil, Lwin Khin Shar, Sagar Sen:
The Price of Prompting: Profiling Energy Use in Large Language Models Inference. CoRR abs/2407.16893 (2024) - 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 2026-10-10 20:44 CEST by the dblp team
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