| Hybrid ranking and regression for algorithm selection J Hanselle, A Tornede, M Wever, E Hüllermeier KI 2020: Advances in Artificial Intelligence: 43rd German Conference on AI …, 2020 | 10 | 2020 |
| Towards green automated machine learning: Status quo and future directions T Tornede, A Tornede, J Hanselle, M Wever, F Mohr, E Hüllermeier arXiv preprint arXiv:2111.05850, 2021 | 9 | 2021 |
| Algorithm selection as superset learning: Constructing algorithm selectors from imprecise performance data J Hanselle, A Tornede, M Wever, E Hüllermeier Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia …, 2021 | 4 | 2021 |
| A Meta-Review on Artificial Intelligence in Product Creation R Bernijazov, A Dicks, R Dumitrescu, M Foullois, JM Hanselle, ... Proceedings of the 30th International Joint Conference on Artificial …, 2021 | 3 | 2021 |
| HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection L Fehring, J Hanselle, A Tornede arXiv preprint arXiv:2210.17341, 2022 | 1 | 2022 |
| Distributed Data Streams J Castenow, B Feldkord, J Hanselle, T Knollmann, M Malatyali, ... Algorithms for Big Data: DFG Priority Program 1736, 179-195, 2023 | | 2023 |
| PyExperimenter: Easily distribute experiments and track results T Tornede, A Tornede, L Fehring, L Gehring, H Graf, J Hanselle, F Mohr, ... arXiv preprint arXiv:2301.06348, 2023 | | 2023 |
Alexander TornedeLeibniz University HannoverVerified email at ai.uni-hannover.de
