| PyKEEN 1.0: a python library for training and evaluating knowledge graph embeddings M Ali, M Berrendorf, CT Hoyt, L Vermue, S Sharifzadeh, V Tresp, ... Journal of Machine Learning Research 22 (82), 1-6, 2021 | 159 | 2021 |
| Bringing light into the dark: A large-scale evaluation of knowledge graph embedding models under a unified framework M Ali, M Berrendorf, CT Hoyt, L Vermue, M Galkin, S Sharifzadeh, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 8825 …, 2021 | 125 | 2021 |
| On the ambiguity of rank-based evaluation of entity alignment or link prediction methods M Berrendorf, E Faerman, L Vermue, V Tresp arXiv preprint arXiv:2002.06914, 2020 | 15 | 2020 |
| Interpretable and fair comparison of link prediction or entity alignment methods with adjusted mean rank M Berrendorf, E Faerman, L Vermue, V Tresp arXiv preprint arXiv:2002.06914, 2020 | 14 | 2020 |
| Multiblock PLS: Block dependent prediction modeling for Python A Baum, L Vermue Journal of Open Source Software 4 (34), 1190, 2019 | 11 | 2019 |
| Bringing light into the dark: A large-scale evaluation of knowledge graph embedding models under a unified framework, CoRR M Ali, M Berrendorf, CT Hoyt, L Vermue, M Galkin, S Sharifzadeh, ... arXiv preprint arXiv:2006.13365, 2020 | 7 | 2020 |
| Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods M Berrendorf, E Faerman, L Vermue, V Tresp 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and …, 2020 | 6 | 2020 |
| On the ambiguity of rank-based evaluation of entity alignment or link prediction methods (2020) M Berrendorf, E Faerman, L Vermue, V Tresp URL: https://arxiv. org/pdf, 2002 | 5 | 2002 |
| The Bayesian Cut P Taborsky, L Vermue, M Korzepa, M Mørup IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (11), 4111 …, 2020 | 3 | 2020 |
| Unraveling fermentation data–a Novozymes case study A Baum, L Vermue, R Moiseyenko, TM Jørgensen, R Devantier Recent Advances in Fermentation Technology, 2017 | 1 | 2017 |
| Data Integration for Industrial Big Data Applications L Vermue Technical University of Denmark, 2022 | | 2022 |
