1. 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, 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  2. A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization

    Mey, A., Viering, T. J. & Loog, M., 2020, Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings. Berthold, M. R., Feelders, A. & Krempl, G. (eds.). Springer Open, p. 326-338 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12080 LNCS).

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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. A soft-labeled self-training approach

    Mey, A. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 2604-2609 6 p.

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

  9. A spatio-temporal reference model of the aging brain

    huizinga, W., Poot, D., Vernooij, M. W., Roshchupkin, G. V., bron, E. E., Ikram, M. A., Rueckert, D., Niessen, W. & Klein, S., 2018, In : NeuroImage. 169, p. 11-22

    Research output: Contribution to journalArticleScientificpeer-review

  10. A study of detecting cancer tissues in multispectral endoscopy data

    Dinh, VC., Loog, M., Duin, RPW., Leitner, R. & Rajadell, O., 2011, ICT.Open 2011. Smeulders, A., Karelse, F., van der Drift, R. & Stroobandt, D. (eds.). Veldhoven, The Netherlands: STW, p. 1-6 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

  11. A study on semi-supervised dissimilarity representation

    Dinh, VC., Duin, RPW. & Loog, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 2862-2864 3 p.

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

  12. 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

  13. 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

  14. A variational method for automatic localization of the most pathological ROI in the knee Cartilage

    Qazi, AA., Dam, EB., Loog, M., Nielsen, M., Lauze, F. & Christiansen, C., 2008, Medical Imaging 2008: Image processing. Reinhardt, JM. & Pluim, JPW. (eds.). SPIE, p. 1-9 9 p.

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

  15. Active Learning Using Uncertainty Information

    Yang, Y. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 2646-2651 6 p.

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

  16. An Empirical Investigation into the Inconsistency of Sequential Active Learning

    Loog, M. & Yang, Y., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 210-215 6 p.

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

  17. An experimental study on combining Euclidean distances

    Lee, WJ., Duin, RPW., Ibba, A. & Loog, M., 2010, Proceedings of the 2nd International Workshop on Cognitive Information Processing (CIP), 2010. S.N. (ed.). NY, NY, USA: IEEE Society, p. 304-309 6 p.

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

  18. An experimental study on combining Euclidean distances

    Lee, WJ., Duin, RPW., Ibba, A. & Loog, M., 2010, 2010 2nd International Workshop on Cognitive Information Processing (CIP 2010). Gini, F., Theodoridis, S., Greco, MS. & Debbah, M. (eds.). New York, NY, USA: IEEE Society, p. 304-309 6 p.

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

  19. An initial study into image segmentation by combining multi-scale information

    Li, Y., Tax, DMJ. & Loog, M., 2009, Proceedings of the fifteenth annual conference of the Advanced School for Computing and Imaging. Gevers, T., Bos, HJ. & Wolters, L. (eds.). Delft: ASCI, p. 1-6 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionProfessional

  20. Approximate pairwise accuracy criteria for multiclass linear dimension in reduction

    Loog, M., 1999, Delft: Delft University Press. 69 p.

    Research output: Book/ReportReportScientific

  21. Assumptions & Expectations in Semi-Supervised Machine Learning

    Mey, A., 2020, 117 p.

    Research output: ThesisDissertation (TU Delft)

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

    Prasoon, A., Igel, C., Loog, M., Lauze, F., Dam, E. & Nielsen, M., 2012, In : Proceedings of SPIE- International Society for Optical Engineering. 8314, p. 1-9 9 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  34. 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

  35. Classification of COPD with multiple instance learning

    Cheplygina, VV., Sørensen, L., Tax, DMJ., Pedersen, JH., Loog, M. & Feragen, A., 2014, Proceedings of the 2014 22nd International Conference on Pattern Recognition. Los Alamitos, CA, USA: IEEE Society, p. 1508-1513 6 p.

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

  36. Combining instance information to classify bags

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2013, Multiple Classifier Systems - Proceedings 11th International Workshop MCS 2013. Zhou, Z-H., Roli, F. & Kittler, J. (eds.). Berlin-Heidelberg: Springer, p. 13-24 12 p. (Lecture Notes in Computer Science; vol. 7872).

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

  37. Conditional random fields for protein function prediction

    Gehrmann, T., Loog, M., Reinders, MJT. & de Ridder, D., 2013, Pattern Recognition in Bioinformatics - Proceedings 8th IAPR International Conference PRIB 2013. Ngom, A., Formenti, E., Hao, J-K., Zhao, X-M. & van Laarhoven, T. (eds.). Berlin Heidelberg: Springer, p. 184-195 12 p. (Lecture Notes in Computer Science; vol. 7986).

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

  38. 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

  39. 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

  40. Contextual loss functions for optimization of convolutional neural networks generating pseudo CTs from MRI

    van Stralen, M., Zhou, Y., Wozny, P. J., Seevinck, P. R. & Loog, M., 2018, Medical Imaging 2018: Image Processing. Angelini, E. D. & Landman, B. A. (eds.). Bellingham: SPIE, p. 105741N-1 - 105741N-6 6 p. 105741N. (Proceedings of Spie; vol. 10574).

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

  41. 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

  42. 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

  43. Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings

    Carneiro, G. (ed.), Mateus, D. (ed.), Peter, L. (ed.), Bradley, A. (ed.), Tavares, J. M. R. S. (ed.), Belagiannis, V. (ed.), Papa, J. P. (ed.), Nascimento, J. C. (ed.), Loog, M. (ed.), Lu, Z. (ed.), Cardoso, J. S. (ed.) & Cornebise, J. (ed.), 2016, 1 ed. Springer. 280 p. (Lecture Notes in Computer Science: Image Processing, Computer Vision, Pattern Recognition, and Graphics; vol. 10008)

    Research output: Book/ReportBook editingScientificpeer-review

  44. Define and Let Go: An Interview with John Habraken

    Havik, K. & Teerds, H., 2017, Facing Value: Radical Perspectives From The Arts. Lauwaert, M. & van Westrenen, F. (eds.). Valiz, p. 313-320

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterPopular

  45. Dense interative contextual pixel classification using kriging

    Ganz, M., Loog, M., Brandt, S. & Nielsen, M., 2009, Proceedings of the Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. Sn (ed.). Piscataway,NJ, USA: IEEE Society, p. 87-93 7 p.

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

  46. 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

  47. Dimensionality reduction by canonical contextual correlation projections

    Loog, M., van Ginneken, B. & Duin, RPW., 2004, ECCV 2004; Proceedings of the eight European conference on computer vision. Pajdla, T. & Matas, J. (eds.). Berlin: Springer, p. 562-573 12 p.

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

  48. 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

  49. Discriminative shape alignment

    Loog, M. & Bruijne, M., 2009, In : Lecture Notes in Computer Science. 5636, p. 459-466 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  50. Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling

    Venkatraghavan, V., Bron, E. E., Niessen, W. J. & Klein, S., 2019, In : NeuroImage. 186, p. 518-532

    Research output: Contribution to journalArticleScientificpeer-review

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