Layered TPOT: Speeding up Tree-based Pipeline Optimization. - Pieter Gijsbers; Joaquin Vanschoren; Randal S. Olson (AutoML@PKDD/ECML, 2017)

An Open Source AutoML Benchmark. - Pieter Gijsbers; Erin LeDell; Janek Thomas; Sébastien Poirier; Bernd Bischl; Joaquin Vanschoren (CoRR, 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)

GAMA: Genetic Automated Machine learning Assistant. - Pieter Gijsbers; Joaquin Vanschoren (J. Open Source Softw., 2019)

GAMA: A General Automated Machine Learning Assistant. - Pieter Gijsbers; Joaquin Vanschoren (ECML/PKDD (5), 2020)

Meta-learning for symbolic hyperparameter defaults. - Pieter Gijsbers; Florian Pfisterer; Jan N. van Rijn; Bernd Bischl; Joaquin Vanschoren (GECCO Companion, 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 (NeurIPS Datasets and Benchmarks, 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 004; Joaquin Vanschoren; Frank Hutter (J. Mach. Learn. Res., 2021)

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; et al. (DEEM@SIGMOD, 2024)

Croissant: A Metadata Format for ML-Ready Datasets. - Mubashara Akhtar; Omar Benjelloun; Costanza Conforti; Luca Foschini 002; Joan Giner-Miguelez; Pieter Gijsbers; Sujata S. Goswami; Nitisha Jain; Michalis Karamousadakis; Michael Kuchnik; Satyapriya Krishna; Sylvain Lesage; et al. (NeurIPS, 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)

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)

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 002; László Németh; Luis Oala; Lennart Purucker; Sahithya Ravi; et al. (Patterns, 2025)

AutoML Benchmark with shorter time constraints and early stopping. - Israel Campero-Jurado; Pieter Gijsbers; Joaquin Vanschoren (CoRR, 2025)