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Erik Bryhn Myklebust
Erik Bryhn Myklebust
Research data scientist
Geverifieerd e-mailadres voor norsar.no
Titel
Geciteerd door
Geciteerd door
Jaar
Embedding OWL Ontologies with OWL2Vec⋆
OM Holter, EB Myklebust, J Chen, E Jimenez-Ruiz
292019
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
252019
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
92022
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
52022
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
42023
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
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
22023
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
22022
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
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
Ecotoxicological Effect Prediction using a Tailored Knowledge Graph
EB Myklebust
2022
Can we expect sudden loss of Arctic sea ice due to a non-linear sea ice-albedo feedback?
R Jastamin Steene, M Rypdal, HB Fredriksen, E Bryhn Myklebust, ...
EGU General Assembly Conference Abstracts, 17778, 2018
2018
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Artikelen 1–20