| Embedding OWL Ontologies with OWL2Vec⋆ OM Holter, EB Myklebust, J Chen, E Jimenez-Ruiz | 34 | 2019 |
| 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 | 28 | 2019 |
| 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 | 12 | 2022 |
| 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 | 7 | 2022 |
| 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 | 5 | 2023 |
| 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 | 4 | 2023 |
| 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 | 4 | 2019 |
| 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 | 3 | 2022 |
| 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 | 1 | 2022 |
| 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 | 1 | 2022 |
| 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 | 1 | 2021 |
| 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 | 1 | 2020 |
| A knowledge graph for ecotoxicological risk assessment and effect prediction⋆ EB Myklebust | 1 | 2019 |
| 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 |
Ernesto Jimenez-RuizSenior Lecturer in Artificial Intelligence. City St George's, University of London, UKVerified email at city.ac.uk
