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

  22. 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

  23. Dissimilarity-based detection of schizophrenia

    Ulas, A., Duin, RPW., Castellani, U., Loog, M., Mirtuono, P., Bicego, M., Murino, V., Bellani, M., Cerutti, S., Tansella, M. & Brambilla, P., 2011, In : International Journal of Imaging Systems and Technology. 21, 2, p. 179-192 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  24. Dissimilarity-based ensembles for multiple instance learning

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2016, In : IEEE Transactions on Neural Networks and Learning Systems. 27, 6, p. 1379-1391 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  25. Dissimilarity-based multiple instance learning

    Sørensen, L., Loog, M., Tax, DMJ., Lee, WJ., Bruijne, M. D. & Duin, RPW., 2010, In : Lecture Notes in Computer Science. 6218, p. 129-138 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  26. Efficient segmentation by sparse pixel classification

    Dam, EB. & Loog, M., 2008, In : IEEE Transactions on Medical Imaging. 27, 10, p. 1525-1534 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  27. Feature-Level Domain Adaptation

    Kouw, W., van der Maaten, L., Krijthe, J. & Loog, M., 2016, In : Journal of Machine Learning Research . 17, p. 1-32 32 p.

    Research output: Contribution to journalArticleScientificpeer-review

  28. Feature-based dissimilarity space classification

    Duin, RPW., Loog, M., Pekalska, EM. & Tax, DMJ., 2010, In : Lecture Notes in Computer Science. 6388, p. 46-55 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  29. FiDOS: A generalized Fisher based feature extraction method for domain shift

    Dinh, VC., Duin, RPW., Piqueras-Salazar, I. & Loog, M., 2013, In : Pattern Recognition. 46, 9, p. 2510-2518 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  30. Forming different-complexity covariance-model subspaces through piecewise-constant spectra for hyperspectral image classification

    Jensen, AC. & Loog, M., 2011, In : Lecture Notes in Computer Science. 6688, p. 186-195 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  31. 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

  32. Generalized augmentation of multiple kernels

    Lee, WJ., Duin, RPW. & Loog, M., 2011, In : Lecture Notes in Computer Science. p. 116-125 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  33. Identification of progressors in osteoarthritis by combining biochemical and MRI-based markers

    Dam, EB., Loog, M., Christiansen, C., Byrjalsen, I., Folkerson, J., Nielsen, M., Qazi, AA., Pettersen, PC., Garnero, P. & Karsdal, MA., 2009, In : Arthritis Research & Therapy. 11, 4, p. 1-11 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  34. Image dissimilarity-based quantification of lung disease from CT

    Sørensen, L., Loog, M., Lo, P., Ashraf, H., Dirksen, A., Duin, RPW. & Bruijne, M. D., 2010, In : Lecture Notes in Computer Science. 6361, p. 37-44 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  35. Linear dimensionality reduction via a heteroscedastic extention of LDA: The Chernoff criterion

    Loog, M. & Duin, RPW., 2004, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 26, 6, p. 732-739 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  36. Low-dose transdermal estradiol induces breast density and heterogeneity changes comparable to those of raloxifene

    Nielsen, M., Raundahl, J., Pettersen, PC., Loog, M., Karemore, G., Karsdal, MA. & Christiansen, C., 2009, In : Menopause. 16, 4, p. 785-791 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  37. Maximum membership scale selection

    Loog, M., Li, Y. & Tax, DMJ., 2009, In : Lecture Notes in Computer Science. 5519, p. 468-477 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  38. Mode seeking clustering by KNN and mean shift evaluated

    Duin, RPW., Fred, ALN., Loog, M. & Pekalska, E., 2012, In : Lecture Notes in Computer Science. 7626, p. 51-59 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  39. 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

  40. Multi-spectral video endoscopy system for the detection of cancerous tissue

    Leitner, R., Biasio, MD., Arnold, T., Dinh, VC., Loog, M. & Duin, RPW., 2013, In : Pattern Recognition Letters. 34, 1, p. 85-93 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  41. Multi-spectral video endoscopy system for the detection of cancerous tissue

    Leitner, R., de Biasio, M., Arnold, T., Dinh, VC., Loog, M. & Duin, RPW., 2012, In : Pattern Recognition Letters. 34, 1, p. 85-93 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  42. Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria.

    Loog, M., Duin, RPW. & Haeb-Umbach, R., 2001, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 23, 7, p. 762-766 5 p.

    Research output: Contribution to journalArticleScientificpeer-review

  43. Multiple instance learning with bag dissimilarities

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2015, In : Pattern Recognition. 48, 1, p. 264-275 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  44. Multiple-instance learning as a classifier combining problem

    Li, Y., Tax, DMJ., Duin, RPW. & Loog, M., 2012, In : Pattern Recognition. 46, 3

    Research output: Contribution to journalArticleScientificpeer-review

  45. Multiple-instance learning as a classifier combining problem

    Li, Y., Tax, DMJ., Duin, RPW. & Loog, M., 2013, In : Pattern Recognition. 46, 3, p. 865-874 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  46. Network guided group feature selection for classification of autism spectrum disorder

    Cheplygina, VV., Tax, DMJ., Loog, M. & Feragen, A., 2014, In : Lecture Notes in Computer Science. 8679, p. 1-8 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  47. On classification with bags, groups and sets

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2015, In : Pattern Recognition Letters. 59, July, p. 11-17 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  48. On combining computer-aided detection systems

    Niemeijer, M., Loog, M., Abramhoff, MD., Viergever, MA., Prokop, M. & van Ginneken, B., 2011, In : IEEE Transactions on Medical Imaging. 30, 2, p. 215-223 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  49. On distributional assumptions and whitened cosine similarities

    Loog, M., 2008, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 30, 6, p. 1114-115 998 p.

    Research output: Contribution to journalArticleScientificpeer-review

  50. On the equivalence of linear dimensionality-reducing transformations

    Loog, M., 2008, In : Journal of Machine Learning Research . 9, p. 2489-2490 2 p.

    Research output: Contribution to journalArticleScientificpeer-review

  51. Optimal mean-precision classifier

    Tax, DMJ., Loog, M. & Duin, RPW., 2009, In : Lecture Notes in Computer Science. 5519, p. 72-81 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

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