Pieter Gijsbers

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Pieter Gijsbers, MSc

 https://orcid.org/0000-0001-7346-8075
  • 63
    Citations - based on content available in repository [source: Scopus]
20172024

Content available in repository

Search results

  • 2024

    Croissant: A Metadata Format for ML-Ready Datasets.

    Akhtar, M., Benjelloun, O., Conforti, C., Gijsbers, P., Giner-Miguelez, J., Jain, N., Kuchnik, M., Lhoest, Q., Marcenac, P., Maskey, M., Mattson, P., Oala, L., Ruyssen, P., Shinde, R., Simperl, E., Thomas, G., Tykhonov, S., Vanschoren, J., van der Velde, J. & Vogler, S. & 1 others, Wu, C.-J., 9 Jun 2024, DEEM '24: Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning. Association for Computing Machinery, Inc, p. 1-6 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
    File
    5 Citations (Scopus)
    20 Downloads (Pure)
  • 2022

    AMLB: an AutoML Benchmark

    Gijsbers, P., Bueno, M. L. P., Coors, S., LeDell, E., Poirier, S., Thomas, J., Bischl, B. & Vanschoren, J., 2022

    Research output: Other contribution › Academic

  • Systems for AutoML Research

    Gijsbers, P., 19 May 2022, Eindhoven: Eindhoven University of Technology. 195 p.

    Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)

    Open Access
    File
    1959 Downloads (Pure)
  • 2021

    GAMA: A General Automated Machine Learning Assistant

    Gijsbers, P. & Vanschoren, J., Feb 2021, Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings. Dong, Y., Ifrim, G., Saunders, C., van Hoecke, S. & Mladenic, D. (eds.). Springer, p. 560-564 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12461 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    17 Citations (Scopus)

  • Meta-learning for symbolic hyperparameter defaults

    Gijsbers, P., Vanschoren, J., Pfisterer, F., van Rijn, J. N. & Bischl, B., Jul 2021, GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 151-152 2 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    5 Citations (Scopus)

  • OpenML Benchmarking Suites

    Bischl, B., Casalicchio, G., Feurer, M., Gijsbers, P., Hutter, F., Lang, M., Mantovani, R. G., Rijn, J. N. V. & Vanschoren, J., 2021, Proceedings of the NeurIPS 2021 Datasets and Benchmarks Track.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • OpenML-Python: an extensible Python API for OpenML

    Feurer, M., van Rijn, J. N., Kadra, A., Gijsbers, P., Mallik, N., Ravi, S., Müller, A., Vanschoren, J. & Hutter, F., 2021, In: Journal of Machine Learning Research. 22, 5 p.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access
    File
    21 Citations (Scopus)
    167 Downloads (Pure)
  • 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
    554 Downloads (Pure)

  • 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
    173 Downloads (Pure)

  • Visual exploration of migration patterns in gull data

    Konzack, M. (Corresponding author), 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
    11 Citations (Scopus)
    90 Downloads (Pure)
  • 2017

    Layered TPOT : speeding up tree-based pipeline optimization

    Gijsbers, P., Vanschoren, J. & Olson, R., 22 Sept 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
    4 Citations (Scopus)
    168 Downloads (Pure)