Author

Erik Bryhn Myklebust

Observed names: E B Myklebust, E. B. Myklebust, E.B. Myklebust, Erik B Myklebust, Erik B. Myklebust, Erik Myklebust, Myklebust, Erik, Myklebust, Erik B., Myklebust, Erik Bryhn

Institution: Norsar

Observed institutions: University of Oslo, University of Agder, Norwegian Institute for Water Research, Norsar

ORCID: 0000-0002-3056-2544

Observed ORCID: 0000-0002-3056-2544

OpenAlex ID: A5061145942

Knowledge Graph Embedding for Ecotoxicological Effect Prediction

2019 · Erik B. Myklebust, Ernesto Jimenez-Ruiz, et al. · Lecture notes in computer science · 24

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Enhancing seismic calving event identification in Svalbard through empirical matched field processing and machine learning

2022 · A Köhler, E B Myklebust, et al. · Geophysical Journal International · 17

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Prediction of adverse biological effects of chemicals using knowledge graph embeddings

2022 · Erik B. Myklebust, Ernesto Jiménez-Ruiz, et al. · Semantic Web · 13

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Embedding OWL ontologies with OWL2Vec

2019 · Ole Magnus Holter, Erik Bryhn Myklebust, et al. · NORA - Norwegian Open Research Archives · 12

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Deep learning models for regional phase detection on seismic stations in Northern Europe and the European Arctic

2024 · Erik B Myklebust, Andreas Köhler · Geophysical Journal International · 9

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An assertion and alignment correction framework for large scale knowledge bases

2021 · Jiaoyan Chen, Ernesto Jiménez-Ruiz, et al. · Semantic Web · 9

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ArrayNet: A Combined Seismic Phase Classification and Back-Azimuth Regression Neural Network for Array Processing Pipelines

2023 · Andreas Köhler, Erik B. Myklebust · Bulletin of the Seismological Society of America · 6

Deep compressed seismic learning for fast location and moment tensor inferences with natural and induced seismicity

2022 · Ismael Vera Rodriguez, Erik B. Myklebust · Scientific Reports · 6

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TERA: the Toxicological Effect and Risk Assessment Knowledge Graph

2019 · Myklebust, Erik Bryhn, Jimenez-Ruiz, Ernesto, et al. · arXiv (Cornell University) · 2

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Monitoring urban construction and quarry blasts with low-cost seismic sensors and deep learning tools in the city of Oslo, Norway

2024 · Andreas Köhler, Erik Myklebust, et al. · Seismica · 1

Understanding Adverse Biological Effect Predictions Using Knowledge Graphs

2022 · Myklebust, Erik Bryhn, Jimenez-Ruiz, Ernesto, et al. · arXiv (Cornell University) · 1

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Towards an automatic real-time seismic monitoring system for the city of Oslo

2022 · Erik Myklebust, Andreas Köhler, et al. · EGU General Assembly Conference Abstracts · 1

Ontology alignment in ecotoxicological effect prediction

2020 · Erik Bryhn Myklebust, Ernesto Jimènez-Ruiz, et al. · City Research Online (City University London) · 1

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Toxicological Effect and Risk Assessment (TERA) Knowledge Graph

2019 · Myklebust, Erik Bryhn, Jimenez-Ruiz, Ernesto, et al. · Figshare · 1

Enabling Semantic Data Access for Toxicological Risk Assessment

2019 · Erik Bryhn Myklebust, Ernesto Jimènez-Ruiz, et al. · City Research Online (City University London) · 1

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Modeling and control design for a semi-active suspension system with magnetorheological rotary brake

2012 · Geir-Arne Moslått, Erik Bryhn Myklebust, et al. · International Conference on Instrumentation, Measurement, Circuits and Systems · 1

Seismic and infrasound monitoring of military conflicts using machine learning

2023 · Quentin Brissaud, Erik Myklebust, et al. · EGU General Assembly Conference Abstracts

Regional phase picking on single stations using deep learning

2023 · Erik Myklebust, Andreas Köhler · EGU General Assembly Conference Abstracts

Extracting seismic outliers using GAN-like training of autoencoders

2023 · E.B. Myklebust, T. Stangeland · EAGE Digitalization Conference & Exhibition

A combined seismic phase classification and back-azimuth regression neural network for array processing pipelines

2022 · Andreas Köhler, Erik Myklebust, et al. · EGU General Assembly Conference Abstracts

Can we expect sudden loss of Arctic sea ice due to a non-linear sea ice-albedo feedback?

2018 · Rebekka Jastamin Steene, Martin Rypdal, et al. · EGUGA

Modelling the future of the arctic sea ice cover

2017 · Erik Bryhn Myklebust · NORA - Norwegian Open Research Archives

Early-warning signals for the small ice cap instability.

2016 · E. B. Myklebust, Martin Rypdal, et al. · AGUFM

LocalHawk – UAV Bakkesystem

2010 · Jon Bjørnland, Erik Bryhn Myklebust, et al. · NORA - Norwegian Open Research Archives

Works count: 27

Citation count: 106

H-index: 6

I10-index: 4