| An open source AutoML benchmark P Gijsbers, E LeDell, J Thomas, S Poirier, B Bischl, J Vanschoren arXiv preprint arXiv:1907.00909, 2019 | 219 | 2019 |
| Openml benchmarking suites B Bischl, G Casalicchio, M Feurer, P Gijsbers, F Hutter, M Lang, ... arXiv preprint arXiv:1708.03731, 2017 | 112 | 2017 |
| Openml-python: an extensible python api for openml M Feurer, JN Van Rijn, A Kadra, P Gijsbers, N Mallik, S Ravi, A Müller, ... The Journal of Machine Learning Research 22 (1), 4573-4577, 2021 | 56 | 2021 |
| Layered TPOT: Speeding up tree-based pipeline optimization P Gijsbers, J Vanschoren, RS Olson arXiv preprint arXiv:1801.06007, 2018 | 31 | 2018 |
| GAMA: genetic automated machine learning assistant P Gijsbers, J Vanschoren Journal of Open Source Software 4 (33), 1132, 2019 | 29 | 2019 |
| Visual exploration of migration patterns in gull data M Konzack, P Gijsbers, F Timmers, E van Loon, MA Westenberg, ... Information Visualization 18 (1), 138-152, 2019 | 13 | 2019 |
| GAMA: A general automated machine learning assistant P Gijsbers, J Vanschoren Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 10 | 2021 |
| Meta-learning for symbolic hyperparameter defaults P Gijsbers, F Pfisterer, JN van Rijn, B Bischl, J Vanschoren Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 9 | 2021 |
| Amlb: an automl benchmark P Gijsbers, MLP Bueno, S Coors, E LeDell, S Poirier, J Thomas, B Bischl, ... arXiv preprint arXiv:2207.12560, 2022 | 5 | 2022 |
| Automatic construction of machine learning pipelines P Gijsbers Master’s thesis, Eindhoven University of Technology, 2018 | 2 | 2018 |
| Systems for AutoML Research P Gijsbers | | 2022 |
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
