• 1 Citations
20172019
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Fingerprint Dive into the research topics where Pieter Gijsbers is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Trees (mathematics) Engineering & Materials Science
Pipelines Engineering & Materials Science
Learning systems Engineering & Materials Science
Genetic programming Engineering & Materials Science
Evolutionary algorithms Engineering & Materials Science

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Research Output 2017 2019

  • 1 Citations
  • 2 Article
  • 1 Conference contribution
  • 1 Paper

An Open Source AutoML Benchmark

Gijsbers, P., LeDell, E., Poirier, S., Thomas, J., Bischl, B. & Vanschoren, J., Jun 2019 8 p.

Research output: Contribution to conferencePaperAcademic

Open Access
File
Learning systems
Websites

GAMA: genetic automated machine learning assistant

Gijsbers, P. & Vanschoren, J., 30 Jan 2019, In : Journal of Open Source Software. 4, 33, 2 p., 1132

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Learning systems
Pipelines
Genetic programming
Learning algorithms
1 Citation (Scopus)

Visual exploration of migration patterns in gull data

Konzack, M., Gijsbers, P., Timmers, F., van Loon, E., Westenberg, M. A. & Buchin, K., 1 Jan 2019, In : Information Visualization. 18, 1, p. 138-152 15 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Ecology
Animals
Trajectories
Statistics

Layered TPOT : speeding up tree-based pipeline optimization

Gijsbers, P., Vanschoren, J. & Olson, R., 22 Sep 2017, Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms (AutoML 2017), 10 August 2017, Sydney, Australia: Collocated with ECMLPKDD 2017. Brazdil, P., Vanschoren, J., Hutter, F. & Hoos, H. (eds.). CEUR-WS.org, p. 49-68 20 p. (CEUR Workshop Proceedings; vol. 1998)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Trees (mathematics)
Pipelines
Learning systems
Genetic programming
Evolutionary algorithms

Student theses

Automatic construction of machine learning pipelines

Author: Gijsbers, P., 30 Oct 2017

Supervisor: Vanschoren, J. (Supervisor 1), Pechenizkiy, M. (Supervisor 2) & Buchin, K. (Supervisor 2)

Student thesis: Master

File