| ABID: angle based intrinsic dimensionality E Thordsen, E Schubert Similarity Search and Applications: 13th International Conference, SISAP …, 2020 | 11 | 2020 |
| ABID: angle based intrinsic dimensionality—theory and analysis E Thordsen, E Schubert Information Systems 108, 101989, 2022 | 9 | 2022 |
| Shrinking Trees not Blossoms: A Recursive Maximum Matching Approach A Droschinsky, P Mutzel, E Thordsen 2020 Proceedings of the Twenty-Second Workshop on Algorithm Engineering and …, 2020 | 8 | 2020 |
| An alternating optimization scheme for binary sketches for cosine similarity search E Thordsen, E Schubert International Conference on Similarity Search and Applications, 41-55, 2023 | 6 | 2023 |
| Grouping Sketches to Index High-Dimensional Data in a Resource-Limited Setting E Thordsen, E Schubert International Conference on Similarity Search and Applications, 274-282, 2024 | 1 | 2024 |
| MESS: Manifold embedding motivated super sampling E Thordsen, E Schubert Similarity Search and Applications: 14th International Conference, SISAP …, 2021 | 1 | 2021 |
| Grouping Sketches to Index High-Dimensional Data in E Thordsen, E Schubert Similarity Search and Applications: 17th International Conference, SISAP …, 2025 | | 2025 |
| Explicit Formulae to Interchangeably use Hyperplanes and Hyperballs using Inversive Geometry E Thordsen, E Schubert arXiv preprint arXiv:2405.18401, 2024 | | 2024 |
| On Projections to Linear Subspaces E Thordsen, E Schubert International Conference on Similarity Search and Applications, 75-88, 2022 | | 2022 |
| CANDLE: Classification And Noise Detection With Local Embedding Approximations. E Thordsen, E Schubert LWDA, 219-231, 2021 | | 2021 |