1. 2019
  2. Gaussian process variance reduction by location selection

    Bottarelli, L. & Loog, M., 2019, In : Pattern Recognition Letters. 125, p. 727-734 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Hydrometallurgical recycling of rare earth elements from secondary resources

    Peelman, S., 2019, 139 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  4. Learning an MR acquisition-invariant representation using Siamese neural networks

    Kouw, W. M., Loog, M., Bartels, L. W. & Mendrik, A. M., 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) : Proceedings. Danvers: IEEE, p. 364-367 4 p.

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

  5. PRECISE: A domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors

    Mourragui, S., Loog, M., van der Wiel, M. A., Reinders, M. & Wessels, L., 2019, In : Bioinformatics. 35, 14, p. i510-i519 10 p., btz372.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Single shot active learning using pseudo annotators

    Yang, Y. & Loog, M., 2019, In : Pattern Recognition. 89, p. 22-31 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Multi-scale convolutional neural network for pixel-wise reconstruction of Van Gogh’s drawings

    Zeng, Y., van der Lubbe, J. C. A. & Loog, M., 1 Oct 2019, In : Machine Vision and Applications. 30, 7-8, p. 1229-1241 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. A dissimilarity-based multiple instance learning approach for protein remote homology detection

    Mensi, A., Bicego, M., Lovato, P., Loog, M. & Tax, D. M. J., 1 Dec 2019, In : Pattern Recognition Letters. 128, p. 231-236 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

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