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2020 – today
- 2024
[j4]Pieter Gijsbers, Marcos L. P. Bueno, Stefan Coors, Erin LeDell, Sébastien Poirier, Janek Thomas, Bernd Bischl, Joaquin Vanschoren:
AMLB: an AutoML Benchmark. J. Mach. Learn. Res. 25: 101:1-101:65 (2024)- [c5]Mubashara Akhtar
, Omar Benjelloun, Costanza Conforti, Pieter Gijsbers, Joan Giner-Miguelez, Nitisha Jain, Michael Kuchnik, Quentin Lhoest, Pierre Marcenac, Manil Maskey, Peter Mattson, Luis Oala, Pierre Ruyssen, Rajat Shinde, Elena Simperl, Goeffry Thomas, Slava Tykhonov, Joaquin Vanschoren, Jos van der Velde, Steffen Vogler, Carole-Jean Wu:
Croissant: A Metadata Format for ML-Ready Datasets. DEEM@SIGMOD 2024: 1-6 - [i7]Prabhant Singh, Pieter Gijsbers, Murat Onur Yildirim, Elif Ceren Gok, Joaquin Vanschoren:
CLAMS: A System for Zero-Shot Model Selection for Clustering. CoRR abs/2407.11286 (2024) - 2022
- [i6]Pieter Gijsbers, Marcos L. P. Bueno, Stefan Coors, Erin LeDell, Sébastien Poirier, Janek Thomas, Bernd Bischl, Joaquin Vanschoren:
AMLB: an AutoML Benchmark. CoRR abs/2207.12560 (2022) - 2021
- [j3]Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter:
OpenML-Python: an extensible Python API for OpenML. J. Mach. Learn. Res. 22: 100:1-100:5 (2021) - [c4]Pieter Gijsbers, Florian Pfisterer, Jan N. van Rijn, Bernd Bischl, Joaquin Vanschoren:
Meta-learning for symbolic hyperparameter defaults. GECCO Companion 2021: 151-152 - [c3]Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren:
OpenML Benchmarking Suites. NeurIPS Datasets and Benchmarks 2021 - [i5]Pieter Gijsbers, Florian Pfisterer, Jan N. van Rijn, Bernd Bischl, Joaquin Vanschoren:
Meta-Learning for Symbolic Hyperparameter Defaults. CoRR abs/2106.05767 (2021) - 2020
- [c2]Pieter Gijsbers, Joaquin Vanschoren:
GAMA: A General Automated Machine Learning Assistant. ECML/PKDD (5) 2020: 560-564 - [i4]Pieter Gijsbers, Joaquin Vanschoren:
GAMA: a General Automated Machine learning Assistant. CoRR abs/2007.04911 (2020)
2010 – 2019
- 2019
- [j2]Maximilian Konzack, Pieter Gijsbers, Ferry Timmers, Emiel van Loon, Michel A. Westenberg, Kevin Buchin:
Visual exploration of migration patterns in gull data. Inf. Vis. 18(1) (2019) - [j1]Pieter Gijsbers, Joaquin Vanschoren:
GAMA: Genetic Automated Machine learning Assistant. J. Open Source Softw. 4(33): 1132 (2019) - [i3]Pieter Gijsbers, Erin LeDell, Janek Thomas, Sébastien Poirier, Bernd Bischl, Joaquin Vanschoren:
An Open Source AutoML Benchmark. CoRR abs/1907.00909 (2019) - [i2]Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter:
OpenML-Python: an extensible Python API for OpenML. CoRR abs/1911.02490 (2019) - 2018
- [i1]Pieter Gijsbers, Joaquin Vanschoren, Randal S. Olson:
Layered TPOT: Speeding up Tree-based Pipeline Optimization. CoRR abs/1801.06007 (2018) - 2017
- [c1]Pieter Gijsbers, Joaquin Vanschoren, Randal S. Olson:
Layered TPOT: Speeding up Tree-based Pipeline Optimization. AutoML@PKDD/ECML 2017: 49-68
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