Pieter Gijsbers

According to our database, Pieter Gijsbers authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

openml/OpenML-Paper-Impact-Analysis: v1.0.4 - Code Release for paper "OpenML: Insights from ten years and more than a thousand papers".

Bernd Bischl, Giuseppe Casalicchio, Taniya Das, Matthias Feurer, Sebastian Fischer, Pieter Gijsbers, Subhaditya Mukherjee, Andreas C. Mueller, László Németh, Luis Oala, Lennart Oswald Purucker, Ravi Sahithaya, Jan N. van Rijn, Prabhant Singh, Joaquin Vanschoren, Jos van der Velde, Marcel Wever

Dataset, May, 2025

AutoML Benchmark with shorter time constraints and early stopping.

Israel Campero-Jurado, Pieter Gijsbers, Joaquin Vanschoren

CoRR, April, 2025

OpenML: Insights from 10 years and more than a thousand papers.

Bernd Bischl, Giuseppe Casalicchio, Taniya Das, Matthias Feurer, Sebastian Fischer, Pieter Gijsbers, Subhaditya Mukherjee, Andreas C. Müller, László Németh, Luis Oala, Lennart Purucker, Sahithya Ravi, Jan N. van Rijn, Prabhant Singh, Joaquin Vanschoren, Jos van der Velde, Marcel Wever

Patterns, 2025

2024

AMLB: an AutoML Benchmark.

Pieter Gijsbers, Marcos L. P. Bueno, Stefan Coors, Erin LeDell, Sébastien Poirier, Janek Thomas, Bernd Bischl, Joaquin Vanschoren

J. Mach. Learn. Res., 2024

CLAMS: A System for Zero-Shot Model Selection for Clustering.

Prabhant Singh, Pieter Gijsbers, Murat Onur Yildirim, Elif Ceren Gok, Joaquin Vanschoren

CoRR, 2024

Croissant: A Metadata Format for ML-Ready Datasets.

Mubashara Akhtar, Omar Benjelloun, Costanza Conforti, Luca Foschini, Joan Giner-Miguelez, Pieter Gijsbers, Sujata S. Goswami, Nitisha Jain, Michalis Karamousadakis, Michael Kuchnik, Satyapriya Krishna, Sylvain Lesage, Quentin Lhoest, Pierre Marcenac, Manil Maskey, Peter Mattson, Luis Oala, Hamidah Oderinwale, Pierre Ruyssen, Tim Santos, Rajat Shinde, Elena Simperl, Arjun Suresh, Goeffry Thomas, Slava Tykhonov, Joaquin Vanschoren, Susheel Varma, Jos van der Velde, Steffen Vogler, Carole-Jean Wu, Luyao Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Croissant: A Metadata Format for ML-Ready Datasets.

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

Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning, 2024

2021

OpenML-Python: an extensible Python API for OpenML.

Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter

J. Mach. Learn. Res., 2021

OpenML Benchmarking Suites.

Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Meta-learning for symbolic hyperparameter defaults.

Pieter Gijsbers, Florian Pfisterer, Jan N. van Rijn, Bernd Bischl, Joaquin Vanschoren

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

GAMA: A General Automated Machine Learning Assistant.

Pieter Gijsbers, Joaquin Vanschoren

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

2019

GAMA: Genetic Automated Machine learning Assistant.

Pieter Gijsbers, Joaquin Vanschoren

J. Open Source Softw., 2019

Visual exploration of migration patterns in gull data.

Maximilian Konzack, Pieter Gijsbers, Ferry Timmers, Emiel van Loon, Michel A. Westenberg, Kevin Buchin

Inf. Vis., 2019

An Open Source AutoML Benchmark.

Pieter Gijsbers, Erin LeDell, Janek Thomas, Sébastien Poirier, Bernd Bischl, Joaquin Vanschoren

CoRR, 2019

2017

Layered TPOT: Speeding up Tree-based Pipeline Optimization.

Pieter Gijsbers, Joaquin Vanschoren, Randal S. Olson

Proceedings of the International Workshop on Automatic Selection, 2017