Research Output per year
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.
Learning systems
Engineering & Materials Science
Pipelines
Engineering & Materials Science
Trees (mathematics)
Engineering & Materials Science
Application programming interfaces (API)
Engineering & Materials Science
Genetic programming
Engineering & Materials Science
Ecology
Engineering & Materials Science
Animals
Engineering & Materials Science
Websites
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2017 2019
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 conference › Paper › Academic
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 journal › Article › Academic › peer-review
Open Access
File
Learning systems
Pipelines
Genetic programming
Learning algorithms
OpenML-Python: an extensible Python API for OpenML
Feurer, M., van Rijn, J. N., Kadra, A., Gijsbers, P., Mallik, N., Ravi, S., Mueller, A., Vanschoren, J. & Hutter, F., 6 Nov 2019, (Submitted) In : Journal of Machine Learning Research. 5 p., 1911.02490v1.Research output: Contribution to journal › Article › Academic
File
Application programming interfaces (API)
Learning systems
Experiments
Ecosystems
Websites
2
Citations
(Scopus)
8
Downloads
(Pure)
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 journal › Article › Academic › peer-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 proceeding › Conference contribution › Academic › peer-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 2017Supervisor: Vanschoren, J. (Supervisor 1), Pechenizkiy, M. (Supervisor 2) & Buchin, K. (Supervisor 2)
Student thesis: Master
File