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  • 2019

    Minimizers of the empirical risk and risk monotonicity

    Loog, M., Viering, T. J. & Mey, A., 2019, Neural Information Processing Systems. 11 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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    65 Downloads (Pure)
  • 2020

    A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization

    Mey, A., Viering, T. J. & Loog, M., 2020, Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings. Berthold, M. R., Feelders, A. & Krempl, G. (eds.). SpringerOpen, Vol. 12080. p. 326-338 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12080 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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    1 Citation (Scopus)
    45 Downloads (Pure)
  • Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings

    Schmahl, K. G., Viering, T. J., Makrodimitris, S., Naseri Jahfari, A., Tax, D. & Loog, M., 1 Nov 2020, Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science. Online: Association for Computational Linguistics, p. 94-103 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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    439 Downloads (Pure)
  • Making Learners (More) Monotone

    Viering, T. J., Mey, A. & Loog, M., 2020, Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings. Berthold, M. R., Feelders, A. & Krempl, G. (eds.). Cham: SpringerOpen, Vol. 12080. p. 535-547 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12080 ).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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    4 Citations (Scopus)
    41 Downloads (Pure)
  • 2023

    LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks

    Mohr, F., Viering, T. J., Loog, M. & van Rijn, J. N., 2023, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings. Amini, M-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer, p. 3-19 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13717 LNAI).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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    39 Downloads (Pure)