| Embedding OWL Ontologies with OWL2Vec⋆ OM Holter, EB Myklebust, J Chen, E Jimenez-Ruiz | 30 | 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 | 25 | 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 | 10 | 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 |
| 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 | 5 | 2022 |
| 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 |
| 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 | 2 | 2023 |
| 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 | 2 | 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 |
| 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 |
Ernesto Jimenez-RuizLecturer in Artificial Intelligence. City, University of London, UKEmail được xác minh tại city.ac.uk
