Research Output per year
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
Trees (mathematics)
Engineering & Materials Science
Pipelines
Engineering & Materials Science
Learning systems
Engineering & Materials Science
Genetic programming
Engineering & Materials Science
Evolutionary algorithms
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2017 2019
GAMA: genetic automated machine learning assistant
Gijsbers, P. & Vanschoren, J., 30 Jan 2019, In : Journal of Open Source Software. 4, 33, 2 p., 1132Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
Learning systems
Pipelines
Genetic programming
Learning algorithms
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