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J.H. Krijthe

Dr.ir.

 https://orcid.org/0000-0003-3435-6358
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  • 2023

    Detecting hidden confounding in observational data using multiple environments

    Karlsson, R. K. A. & Krijthe, J. H., 2023, Proceedings of the 37th Annual Conference on Neural Information Processing Systems.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access

  • Explaining Two Strange Learning Curves

    Chen, Z., Loog, M. & Krijthe, J. H., 2023, Artificial Intelligence and Machine Learning - 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Revised Selected Papers. Calders, T., Goethals, B., Vens, C. & Lijffijt, J. (eds.). Springer, p. 16-30 15 p. (Communications in Computer and Information Science; vol. 1805 CCIS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    File
    6 Downloads (Pure)
  • 2021

    ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility

    Yildiz, B., Hung, H., Krijthe, J. H., Liem, C. C. S., Loog, M., Migut, G., Oliehoek, F. A., Panichella, A., Pawełczak, P., Picek, S., de Weerdt, M. & van Gemert, J., 2021, Reproducible Research in Pattern Recognition - 3rd International Workshop, RRPR 2021, Revised Selected Papers. Kerautret, B., Colom, M., Krähenbühl, A., Lopresti, D., Monasse, P. & Talbot, H. (eds.). Springer, p. 3-11 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12636 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    File
    5 Citations (Scopus)
    80 Downloads (Pure)
  • 2019

    Robust Importance-Weighted Cross-Validation under Sample Selection Bias

    Kouw, W. M., Krijthe, J. H. & Loog, M., 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing, MLSP 2019. Piscataway: IEEE, p. 1-6 6 p. 8918731. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2019-October).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    2 Citations (Scopus)
  • 2018

    The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning

    Krijthe, J. H. & Loog, M., 2018, NIPS'18: Proceedings of the 32nd International Conference on Neural Information Processing Systems. Bengio, S., Wallach, H. M., Larochelle, H., Grauman, K. & Cesa-Bianchi, N. (eds.). Curran Associates, Inc., p. 1793-1802 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    4 Citations (Scopus)
  • 2017

    Reproducible pattern recognition research: The case of optimistic SSL

    Krijthe, J. H. & Loog, M., 2017, Reproducible Research in Pattern Recognition: 1st International Workshop, RRPR 2016, Revised Selected Papers. Kerautret, B., Colom, M. & Monasse, P. (eds.). Cham: Springer, p. 48-59 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10214 ).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    1 Citation (Scopus)
  • 2016

    Optimistic semi-supervised least squares classification

    Krijthe, J. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, p. 1677-1682 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    5 Citations (Scopus)

  • The Peaking Phenomenon in Semi-supervised Learning

    Krijthe, J. & Loog, M., 2016, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, proceedings. Robles-Kelly, A., Loog, M., Biggio, B., Escolano, F. & Wilson, R. (eds.). Cham: Springer, p. 299-309 11 p. (Lecture Notes in Computer Science; vol. 10029).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    3 Citations (Scopus)
  • 2015

    Implicitly Constrained Semi-Supervised Least Squares Classification

    Krijthe, JH. & Loog, M., 2015, Proceedings of the 14th International Symposium on Advances in Intelligent Data Analysis XIV. Fromont, T., de Bie, T. & van Leeuwen, M. (eds.). Dordrecht: Springer, p. 158-169 12 p. (Lecture Notes in Computer Science; vol. 9385).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    21 Citations (Scopus)
  • 2012

    Improving cross-validation based classifier selection using meta-learning

    Krijthe, JH., Nap, M. & Loog, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 2873-2867 5 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    6 Citations (Scopus)