An open source AutoML benchmark P Gijsbers, E LeDell, J Thomas, S Poirier, B Bischl, J Vanschoren arXiv preprint arXiv:1907.00909, 2019 | 331 | 2019 |
Openml benchmarking suites B Bischl, G Casalicchio, M Feurer, P Gijsbers, F Hutter, M Lang, ... arXiv preprint arXiv:1708.03731, 2017 | 169 | 2017 |
Openml-python: an extensible python api for openml M Feurer, JN Van Rijn, A Kadra, P Gijsbers, N Mallik, S Ravi, A Müller, ... Journal of Machine Learning Research 22 (100), 1-5, 2021 | 115 | 2021 |
Amlb: an automl benchmark P Gijsbers, MLP Bueno, S Coors, E LeDell, S Poirier, J Thomas, B Bischl, ... Journal of Machine Learning Research 25 (101), 1-65, 2024 | 81 | 2024 |
GAMA: genetic automated machine learning assistant P Gijsbers, J Vanschoren Journal of Open Source Software 4 (33), 1132, 2019 | 54 | 2019 |
Layered TPOT: Speeding up tree-based pipeline optimization P Gijsbers, J Vanschoren, RS Olson arXiv preprint arXiv:1801.06007, 2018 | 44 | 2018 |
Gama: A general automated machine learning assistant P Gijsbers, J Vanschoren Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 33 | 2021 |
Croissant: A metadata format for ml-ready datasets M Akhtar, O Benjelloun, C Conforti, L Foschini, J Giner-Miguelez, ... Advances in Neural Information Processing Systems 37, 82133-82148, 2025 | 31 | 2025 |
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 | 16 | 2019 |
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 | 13 | 2021 |
Automatic construction of machine learning pipelines P Gijsbers Master's thesis, Eindhoven University of Technology, 2018 | 4 | 2018 |
CLAMS: A System for Zero-Shot Model Selection for Clustering P Singh, P Gijsbers, MO Yildirim, EC Gok, J Vanschoren arXiv preprint arXiv:2407.11286, 2024 | | 2024 |
Better clustering evaluation for the OpenML Evaluation Engine J Vanschoren, P Gijsbers, P Singh | | 2022 |
Systems for AutoML Research P Gijsbers | | 2022 |