| Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML L Purucker, J Beel First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022 | 6 | 2022 |
| CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure LO Purucker, J Beel International Conference on Automated Machine Learning, 1/1-23, 2023 | 3 | 2023 |
| The effect of random seeds for data splitting on recommendation accuracy L Wegmeth, T Vente, L Purucker, J Beel Perspectives on the Evaluation of Recommender Systems Workshop (PERSPECTIVES …, 2023 | 3 | 2023 |
| Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems L Wegmeth, T Vente, L Purucker ECIR 2024, 2024 | | 2024 |
| Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML LO Purucker, L Schneider, M Anastacio, J Beel, B Bischl, H Hoos International Conference on Automated Machine Learning, 10/1-34, 2023 | | 2023 |
| Estimating the Pruned Search Space Size of Subgroup Discovery L Purucker, F Stamm, F Lemmerich, J Beel 2022 IEEE International Conference on Data Mining (ICDM), 1155-1160, 2022 | | 2022 |
Joeran BeelUniversity of Siegen (previously NII Tokyo, Trinity College Dublin, UC Berkeley, ...)Verified email at berkeley.edu
