| An open source AutoML benchmark P Gijsbers, E LeDell, J Thomas, S Poirier, B Bischl, J Vanschoren arXiv preprint arXiv:1907.00909, 2019 | 315 | 2019 |
| Openml benchmarking suites B Bischl, G Casalicchio, M Feurer, P Gijsbers, F Hutter, M Lang, ... arXiv preprint arXiv:1708.03731, 2017 | 147 | 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 | 104 | 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 | 68 | 2024 |
| GAMA: genetic automated machine learning assistant P Gijsbers, J Vanschoren Journal of Open Source Software 4 (33), 1132, 2019 | 52 | 2019 |
| Layered TPOT: Speeding up tree-based pipeline optimization P Gijsbers, J Vanschoren, RS Olson arXiv preprint arXiv:1801.06007, 2018 | 45 | 2018 |
| Gama: A general automated machine learning assistant P Gijsbers, J Vanschoren Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 28 | 2021 |
| 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 | 17 | 2019 |
| Croissant: A Metadata Format for ML-Ready Datasets M Akhtar, O Benjelloun, C Conforti, P Gijsbers, J Giner-Miguelez, N Jain, ... Proceedings of the Eighth Workshop on Data Management for End-to-End Machine …, 2024 | 15 | 2024 |
| 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 | 12 | 2021 |
| An open source AutoML benchmark (2019) P Gijsbers, E LeDell, J Thomas, S Poirier, B Bischl, J Vanschoren arXiv preprint arXiv:1907.00909, 1907 | 7 | 1907 |
| Openml: A benchmarking layer on top of openml to quickly create, download, and share systematic benchmarks B Bischl, G Casalicchio, M Feurer, P Gijsbers, F Hutter, M Lang, ... NeurIPS–Track on Datasets and Benchmarks, 2021 | 6 | 2021 |
| Openml-python: an extensible python api for openml. arXiv, 1911.02490, 2019 M Feurer, JN van Rijn, A Kadra, P Gijsbers, N Mallik, S Ravi, A Mueller, ... URL https://arxiv. org/pdf/1911.02490. pdf, 2019 | 5 | 2019 |
| An Open Source AutoML Benchmark. CoRR abs/1907.00909 (2019) P Gijsbers, E LeDell, J Thomas, S Poirier, B Bischl, J Vanschoren arXiv preprint arXiv:1907.00909, 2019 | 5 | 2019 |
| Automatic construction of machine learning pipelines P Gijsbers Master’s thesis, Eindhoven University of Technology, 2018 | 3 | 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 |
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
