Pieter Gijsbers

According to our database, Pieter Gijsbers authored at least 9 papers between 2017 and 2022.

Collaborative distances:

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

2022

AMLB: an AutoML Benchmark.

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

CoRR, 2022

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