| Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis M Booshehri, L Emele, S Flügel, H Förster, J Frey, U Frey, M Glauer, ... Energy and AI 5, 100074, 2021 | 78 | 2021 |
| Transparency, reproducibility, and quality of energy system analyses–A process to improve scientific work L Hülk, B Müller, M Glauer, E Förster, B Schachler Energy strategy reviews 22, 264-269, 2018 | 37 | 2018 |
| An institution for simple UML state machines A Knapp, T Mossakowski, M Roggenbach, M Glauer Fundamental Approaches to Software Engineering: 18th International …, 2015 | 33 | 2015 |
| Learning chemistry: exploring the suitability of machine learning for the task of structure-based chemical ontology classification J Hastings, M Glauer, A Memariani, F Neuhaus, T Mossakowski Journal of Cheminformatics 13, 1-20, 2021 | 32 | 2021 |
| Interpretable ontology extension in chemistry M Glauer, A Memariani, F Neuhaus, T Mossakowski, J Hastings Semantic Web, 1-22, 2023 | 13 | 2023 |
| Netzebenenübergreifendes Planungsinstrument-zur Bestimmung des optimalen Netz-und Speicherausbaus in Deutschland-integriert in einer OpenEnergy-Plattform UP Müller, B Schachler, WD Bunke, J Bartels, M Glauer, C Büttner, ... URL https://www. uni-flensburg. de/fileadmin/content/abteilungen/industrial …, 2019 | 12* | 2019 |
| Automated and explainable ontology extension based on deep learning: A case study in the chemical domain A Memariani, M Glauer, F Neuhaus, T Mossakowski, J Hastings arXiv preprint arXiv:2109.09202, 2021 | 10 | 2021 |
| Identification of user requirements for an energy scenario database K Reder, M Stappel, C Hofmann, H Förster, L Emele, L Hülk, M Glauer International Journal of Sustainable Energy Planning and Management 25, 95-108, 2020 | 10 | 2020 |
| Predicting outcomes of smoking cessation interventions in novel scenarios using ontology-informed, interpretable machine learning J Hastings, M Glauer, R West, J Thomas, AJ Wright, S Michie Wellcome Open Research 8 (503), 503, 2023 | 8 | 2023 |
| Esc-rules: Explainable, semantically constrained rule sets M Glauer, R West, S Michie, J Hastings 16th International Workshop on Neural-Symbolic (NeSy 2022), 2022 | 5 | 2022 |
| An open database concept for open energy modelling M Glauer, S Günther, L Hülk, WD Bunke InviroInfo—From Science to Society: The Bridge Provided by Environmental …, 2017 | 5 | 2017 |
| Neuro-symbolic semantic learning for chemistry M Glauer, T Mossakowski, F Neuhaus, A Memariani, J Hastings Compendium of Neurosymbolic Artificial Intelligence, 460-484, 2023 | 4 | 2023 |
| When one logic is not enough: Integrating first-order annotations in OWL ontologies S Flügel, M Glauer, F Neuhaus, J Hastings Semantic Web, 1-16, 2022 | 4 | 2022 |
| FOWL-An OWL to FOL Translator. S Flügel, A Kleinau, F Neuhaus, M Glauer, J Hastings JOWO, 2021 | 4 | 2021 |
| Chebifier: automating semantic classification in ChEBI to accelerate data-driven discovery M Glauer, F Neuhaus, S Flügel, M Wosny, T Mossakowski, A Memariani, ... Digital Discovery 3 (5), 896-907, 2024 | 1 | 2024 |
| Ontology Pre-training for Poison Prediction M Glauer, F Neuhaus, T Mossakowski, J Hastings German Conference on Artificial Intelligence (Künstliche Intelligenz), 31-45, 2023 | 1 | 2023 |
| The OpenEnergy Platform (OEP)-A web-platform to improve transparency and reproducibility of energy system analyses E Kötter, B Müller, L Hülk, M Glauer Reiner Lemoine Institut, 2017 | 1 | 2017 |
| A semantic loss for ontology classification S Flügel, M Glauer, T Mossakowski, F Neuhaus arXiv preprint arXiv:2405.02083, 2024 | | 2024 |
| Scenario Data on the OpenEnergyPlatform-SzenarienDB on the OEP. A web-platform to improve transparency and reproducibility of energy systems analyses L Hülk, C Hofmann, E Koetter, K Reder, C Pape, M Stappel, H Förster, ... | | 2019 |
| Institutions for SQL Database Schemas and Datasets M Glauer, T Mossakowski Recent Trends in Algebraic Development Techniques: 24th IFIP WG 1.3 …, 2019 | | 2019 |
