• 91
    Citations - based on content available in repository [source: Scopus]
20172024

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  • 2022

    A Clustering-Inspired Quality Measure for Exceptional Preferences Mining - Design Choices and Consequences.

    Verhaegh, R. F. A., Kiezebrink, J. J. E., Nusteling, F., Rio, A. W. A., Bendicsek, M. B., Duivesteijn, W. & Schouten, R. M., 2022, Discovery Science: 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings. Pascal, P. & Ienco, D. (eds.). Springer, p. 429-444 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13601 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    2 Downloads (Pure)
  • Efficient Subgroup Discovery Through Auto-Encoding

    van der Haar, J. F., Nagelkerken, S. C., Smit, I. G., van Straaten, K., Tack, J. A., Schouten, R. M. & Duivesteijn, W., 7 Apr 2022, Advances in Intelligent Data Analysis XX: 20th International Symposium on Intelligent Data Analysis, IDA 2022, Proceedings. Bouadi, T., Fromont, E. & Hüllermeier, E. (eds.). Springer, p. 327-340 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13205 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    5 Downloads (Pure)
  • Exceptional Model Mining for Repeated Cross-Sectional Data (EMM-RCS).

    Schouten, R. M., Duivesteijn, W. & Pechenizkiy, M., 2022, Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022. p. 585-593 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • 2020

    DEvIANT: discovering significant exceptional (dis-)agreement within groups

    Belfodil, A., Duivesteijn, W., Plantevit, M., Cazalens, S. & Lamarre, P., 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Cham: Springer Nature, p. 3-20 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11906 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)
  • Fairness in network representation by latent structural heterogeneity in observational data

    Du, X., Pei, Y., Duivesteijn, W. & Pechenizkiy, M., 3 Apr 2020, Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). Palo Alto: AAI Press, p. 3809-3816 8 p. 5792. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 34, no. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    3 Citations (Scopus)
  • k is the magic number: inferring the number of clusters through nonparametric concentration inequalities

    Hess, S. & Duivesteijn, W., 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Cham: Springer Nature, p. 257-273 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11906 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)
    3 Downloads (Pure)
  • Predicting Remaining Useful Life with Similarity-Based Priors

    Soons, Y., Dijkman, R., Jilderda, M. & Duivesteijn, W., 2020, Advances in Intelligent Data Analysis XVIII: 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings. Berthold, M. R., Feelders, A. & Krempl, G. (eds.). Cham: Springer, p. 483-495 13 p. (Lecture Notes in Computer Science (LNCS); vol. 12080)(Information Systems and Applications, incl. Internet/Web, and HCI (LNISA); vol. 12080).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    3 Citations (Scopus)
    75 Downloads (Pure)
  • 2019

    ICIE 1.0: a novel tool for interactive contextual interaction explanations

    van der Zon, S. B., Duivesteijn, W., van Ipenburg, W., Veldsink, J. & Pechenizkiy, M., 1 Jan 2019, ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Proceedings. Monreale, A. & Alzate, C. (eds.). Cham: Springer, p. 81-94 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11054 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    4 Citations (Scopus)
    2 Downloads (Pure)
  • 2018

    ELBA: Exceptional Learning Behavior Analysis

    Du, X., Duivesteijn, W., Klabbers, M. D. & Pechenizkiy, M., 2018, Proceedings of the 11th International Conference on Educational Data Mining, EDM 2018. p. 312-318

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    4 Citations (Scopus)
    56 Downloads (Pure)
  • Subjectively interesting subgroup discovery on real-valued targets

    Lijffijt, J., Kang, B., Duivesteijn, W., Puolamäki, K., Oikarinen, E. & de Bie, T., 24 Oct 2018, Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE 2018). Piscataway: Institute of Electrical and Electronics Engineers, p. 1352-1355 4 p. 8509369

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    5 Citations (Scopus)
  • 2017

    BoostEMM: Transparent boosting using exceptional model mining

    van der Zon, S., Mordehai, O. Z. B., Vrijdag, T. S., van Ipenburg, W., Veldsink, J. W., Duivesteijn, W. & Pechenizkiy, M., 2017, Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017), 18 September 2017, Skopje, Macedonia . CEUR-WS.org, p. 5-16 12 p. (CEUR Workshop Proceedings; vol. 1941).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    24 Downloads (Pure)
  • Have it both ways : from A/B testing to A&B testing with exceptional model mining

    Duivesteijn, W., Farzami, T., Putman, T., Peer, E., Weerts, H. J. P., Adegeest, J. N., Foks, G. & Pechenizkiy, M., 30 Dec 2017, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Proceedings. Ceci, M., Dzeroski, S., Malerba, D., Altun, Y., Das, K., Read, J., Zitnik, M., Stefanowski, J. & Mielikäinen, T. (eds.). Cham : Springer, p. 114-126 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10536 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    4 Citations (Scopus)
    5 Downloads (Pure)