Follow
Erik Bryhn Myklebust
Erik Bryhn Myklebust
Research data scientist
Verified email at norsar.no
Title
Cited by
Cited by
Year
Embedding OWL Ontologies with OWL2Vec⋆
OM Holter, EB Myklebust, J Chen, E Jimenez-Ruiz
342019
Knowledge graph embedding for ecotoxicological effect prediction
EB Myklebust, E Jimenez-Ruiz, J Chen, R Wolf, KE Tollefsen
The Semantic Web–ISWC 2019: 18th International Semantic Web Conference …, 2019
282019
Prediction of adverse biological effects of chemicals using knowledge graph embeddings
EB Myklebust, E Jiménez-Ruiz, J Chen, R Wolf, KE Tollefsen
Semantic Web 13 (3), 299-338, 2022
132022
Enhancing seismic calving event identification in Svalbard through empirical matched field processing and machine learning
A Köhler, EB Myklebust, S Mæland
Geophysical Journal International 230 (2), 1305-1317, 2022
72022
An assertion and alignment correction framework for large scale knowledge bases
J Chen, E Jiménez-Ruiz, I Horrocks, X Chen, EB Myklebust
Semantic Web 14 (1), 29-53, 2023
62023
ArrayNet: A Combined Seismic Phase Classification and Back‐Azimuth Regression Neural Network for Array Processing Pipelines
A Köhler, EB Myklebust
Bulletin of the Seismological Society of America 113 (6), 2345-2362, 2023
52023
Deep compressed seismic learning for fast location and moment tensor inferences with natural and induced seismicity
I Vera Rodriguez, EB Myklebust
Scientific Reports 12 (1), 15230, 2022
42022
Integrating semantic technologies in environmental risk assessment: A vision
EB Myklebust, E Jimenez-Ruiz, ZC Rudjord, R Wolf, KE Tollefsen
29th Annual Meeting of the Society of Environmental Toxicology and Chemistry …, 2019
42019
TERA: the Toxicological Effect and Risk Assessment Knowledge Graph
EB Myklebust, E Jimenez-Ruiz, J Chen, R Wolf, KE Tollefsen
arXiv preprint arXiv:1908.10128, 2019
2*2019
Understanding Adverse Biological Effect Predictions Using Knowledge Graphs
EB Myklebust, E Jiménez-Ruiz, J Chen, R Wolf, KE Tollefsen
arXiv preprint arXiv:2210.15985, 2022
12022
Towards an automatic real-time seismic monitoring system for the city of Oslo
E Myklebust, A Köhler, AM Dichiarante
EGU General Assembly Conference Abstracts, EGU22-3601, 2022
12022
Correcting assertions and alignments of large scale knowledge bases
J Chen, E Jiménez-Ruiz, I Horrocks, X Chen, EB Myklebust
Semantic Web Journal 14 (3), 1-25, 2021
12021
Ontology alignment in ecotoxicological effect prediction
EB Myklebust, E Jiménez-Ruiz, J Chen, R Wolf, KE Tollefsen
Proceedings of the 15th International Workshop on Ontology Matching (OM 2020 …, 2020
12020
A knowledge graph for ecotoxicological risk assessment and effect prediction⋆
EB Myklebust
12019
Deep learning models for regional phase detection on seismic stations in Northern Europe and the European Arctic
EB Myklebust, A Köhler
Geophysical Journal International 239 (2), 862-881, 2024
2024
Monitoring urban construction and quarry blasts with low-cost seismic sensors and deep learning tools in the city of Oslo, Norway
A Köhler, E Myklebust, AM Dichiarante, V Oye
Seismica 3 (1), 2024
2024
Seismic and infrasound monitoring of military conflicts using machine learning
Q Brissaud, E Myklebust, B Dando, B Goertz-Allmann, A Köhler, ...
EGU General Assembly Conference Abstracts, EGU-12236, 2023
2023
Regional phase picking on single stations using deep learning
E Myklebust, A Köhler
EGU General Assembly Conference Abstracts, EGU-1831, 2023
2023
Extracting seismic outliers using GAN-like training of autoencoders
EB Myklebust, T Stangeland
Third EAGE Digitalization Conference and Exhibition 2023 (1), 1-4, 2023
2023
A combined seismic phase classification and back-azimuth regression neural network for array processing pipelines
A Köhler, E Myklebust, T Stangeland
EGU General Assembly Conference Abstracts, EGU22-3543, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–20