1. Assumptions & Expectations in Semi-Supervised Machine Learning

    Mey, A., 2020, 117 p.

    Research output: ThesisDissertation (TU Delft)

  2. Asymmetric kernel in Gaussian Processes for learning target variance

    Pintea, S. L., van Gemert, J. C. & Smeulders, A. W. M., 2018, In : Pattern Recognition Letters. 108, p. 70-77 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Automated classification of local patches in colon histopathology

    Kalkan, H., Nap, M., Duin, RPW. & Loog, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 61-64 4 p.

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

  4. Automated colorectal cancer diagnosis for whole-slice histopathology

    Kalkan, H., Nap, M., Duin, RPW. & Loog, M., 2012, In : Lecture Notes in Computer Science. 7512, p. 550-557 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Automated effect-specific mammographic pattern messures

    Raundahl, J., Loog, M., Pettersen, P., Tanko, LB. & Nielsen, M., 2008, In : IEEE Transactions on Medical Imaging. 27, 8, p. 1054-1060 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Automatic classification of municipal call data for quantitative urban drainage system analysis

    ten Veldhuis, JAE., Harder, RC. & Loog, M., 2010, 1st European IAHR Congress. s.n. (ed.). Edinburgh: IAHR, p. 1-6 6 p.

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

  7. Automatic classification of municipal call data to support quantitative risk analysis of urban drainage systems

    ten Veldhuis, JAE., Harder, RC. & Loog, M., 2010, In : Structure & Infrastructure Engineering: maintenance, management, life-cycle design & performance. 2010, november, p. 1744-8980 7237 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Bag dissimilarities for multiple instance learning

    Cheplygina, VV., Tax, DMJ., Duin, RPW., Lee, WJ. & Loog, M., 2012, p. 58-58. 1 p.

    Research output: Contribution to conferenceAbstractScientific

  9. Bag dissimilarities for multiple instance learning

    Tax, DMJ., Loog, M., Duin, RPW., Cheplygina, VV. & Lee, WJ., 2011, In : Lecture Notes in Computer Science. 7005, p. 222-234 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. Bicycle chain shape models

    Sommer, SM., Tatu, A., Chen, Q., Jurgensen, DR., Bruijne, M., Loog, M., Nielsen, M. & Lauze, F., 2009, Proceedings of the Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. Sn (ed.). Piscataway,NJ, USA: IEEE Society, p. 157-163 7 p.

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

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