1. Article › Scientific › Peer-reviewed
  2. A benchmark and comparison of active learning for logistic regression

    Yang, Y. & Loog, M., 2018, In : Pattern Recognition. 83, p. 401-415 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

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

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

    Research output: Contribution to journalArticleScientificpeer-review

  4. A framework for optimizing measurement weight maps to minimize

    Qazi, AA., Jørgensen, DR., Lillholm, M., Loog, M., Nielsen, M. & Dam, EB., 2010, In : Medical Image Analysis. 14, 3, p. 255-264 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. A note on an extreme case of the generalized optimal discriminant transformation

    Loog, M., Wu, X-J., Lu, J. -P., Yang, J-Y., Wang, S-T. & Kittler, J., 2008, In : Neurocomputing. 72, p. 664-665 2 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer

    Nielsen, M., Karemore, G., Loog, M., Raundahl, J., Karssemeijer, N., Otten, JDM., Karsdal, MA., Vachon, CM. & Christiansen, C., 2010, In : Cancer Epidemiology: the international journal of cancer epidemiology, detection and prevention. 35, 4, p. 381-387 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. A texton-based approach for the classification of lung parenchyma in CT images

    Gangeh, MJ., Sørensen, L., Shaker, SB., Kamel, MS., Bruijne, M. D. & Loog, M., 2010, In : Lecture Notes in Computer Science. 6363, p. 595-602 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. A variance maximization criterion for active learning

    Yang, Y. & Loog, M., 2018, In : Pattern Recognition. 78, p. 358-370 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. 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

  10. 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

  11. 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

  12. 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

  13. Breast density changes associated with postmenopausal hormone therapy: post hoc radiologist- and computer-based analyses

    Nielsen, M., Pettersen, PC., Alexandersen, PMD., Karemore, G., Raundahl, J., Loog, M. & Christiansen, C., 2010, In : Menopause. 17, 4, p. 772-778 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. Bridging structure and feature representations in graph matching

    Lee, WJ., Cheplygina, VV., Tax, DMJ., Loog, M. & Duin, RPW., 2012, In : International Journal of Pattern Recognition and Artificial Intelligence. 26, 5, p. 1260005-1-1260005-22

    Research output: Contribution to journalArticleScientificpeer-review

  15. Class-dependent dissimilarity measures for multiple instance learning

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2012, In : Lecture Notes in Computer Science. 7626, p. 602-610 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  16. Constrained log-likelihood-based semi-supervised linear discriminant analysis

    Loog, M. & Jensen, AC., 2012, In : Lecture Notes in Computer Science. 7626, p. 327-335 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  17. Constrained parameter estimation for semi-supervised learning: The case of the nearest mean classifier

    Loog, M., 2010, In : Lecture Notes in Artificial Intelligence. 6322, p. 291-304 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  18. Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification

    Loog, M., 2016, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 38, 3, p. 462-475 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  19. Critical rainfall thresholds for urban pluvial flooding inferred from citizen observations

    Tian, X., ten Veldhuis, M. C., Schleiss, M., Bouwens, C. & van de Giesen, N., 2019, In : Science of the Total Environment. 689, p. 258-268 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  20. Diagnostic classification of arterial spin labeling and structural MRI in presenile early-stage dementia

    Bron, EE., Steketee, RME., Houston, G., Oliver, RA., Achterberg, HC., Loog, M., van Swieten, JC., Hammers, A., Niessen, WJ., Smits, M. & Klein, S., 2014, In : Human Brain Mapping. 35, p. 4916-4931 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  21. Dimensionality reduction of image features using the canonical contextual correlation projection

    Loog, M., van Ginneken, B. & Duin, RPW., 2005, In : Pattern Recognition. 38, 12, p. 2409-2418 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

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