1. 2018
  2. De industrie en haar watergebruik

    Spanjers, H. & van Lier, J., 2018, Afvalwater: Hoe maken we de cirkel weer rond?: biowetenschappen en maatschappij, kwartaal 2 2018. Vol. Cahier 2. p. 45-48 (biowetenschappen en maatschappij).

    Research output: Chapter in Book/Report/Conference proceedingChapterProfessional

  3. Effects of sampling skewness of the importance-weighted risk estimator on model selection

    Kouw, W. & Loog, M., 2018, 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, p. 1468-1473 6 p.

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

  4. Gradient descent for gaussian processes variance reduction

    Bottarelli, L. & Loog, M., 2018, Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, Proceedings. Bai, X., Hancock, E. R., Ho, T. K., Wilson, R. C., Biggio, B. & Robles-Kelly, A. (eds.). Cham: Springer Verlag, p. 160-169 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11004 ).

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

  5. On domain-adaptive machine learning

    Kouw, W., 2018, 189 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  6. Protein remote homology detection using dissimilarity-based multiple instance learning

    Mensi, A., Bicego, M., Lovato, P., Loog, M. & Tax, D. M. J., 2018, Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, Proceedings. Bai, X., Hancock, E. R., Ho, T. K., Wilson, R. C., Biggio, B. & Robles-Kelly, A. (eds.). Cham: Springer Verlag, p. 119-129 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11004 ).

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

  7. Supervised Classification: Quite a Brief Overview

    Loog, M., 2018, Machine Learning Techniques for Space Weather. Camporeale, E., Wing, S. & Johnson, J. R. (eds.). Elsevier, p. 113-145 33 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterScientific

  8. Template Matching via Densities on the Roto-Translation Group

    Bekkers, E. J., Loog, M., ter Haar Romeny, B. M. & Duits, R., 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 2, p. 452-466 15 p., 7864477.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Towards Practical Active Learning for Classification

    Yang, Y., 2018, 133 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  10. 2017
  11. Projected estimators for robust semi-supervised classification

    Krijthe, J. H. & Loog, M., 1 Jul 2017, In : Machine Learning. 106, 7, p. 993-1008 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection

    Plasencia-Calaña, Y., Li, Y., Duin, R. P. W., Orozco-Alzate, M., Loog, M. & García-Reyes, E., 2017, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, Proceedings. Beltrán-Castañón, C., Nyström, I. & Famili, F. (eds.). Cham: Springer International Publishing AG, p. 150-157 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10125 LNCS).

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

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