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

  52. 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

  53. Parallel assessment of the impact of different hormone replacement therapies on breast density by radiologist- and computer-based analyses of mammograms

    Pettersen, PC., Raundahl, J., Loog, M., Nielsen, M., Tanko, LB. & Christiansen, C., 2008, In : Climacteric. 2, p. 135-143 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  54. Projected estimators for robust semi-supervised classification

    Krijthe, J. H. & Loog, M., 1 Jul 2017, In : Machine Learning. 106, 7, p. 993-1008 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  55. Quantitative comparison of spot detection methods in fluorescence microscopy

    Smal, I., Loog, M., Niessen, W. & Meijering, E., 2010, In : IEEE Transactions on Medical Imaging. 29, 2, p. 282-301 20 p.

    Research output: Contribution to journalArticleScientificpeer-review

  56. Question classification by weighted combination of lexical, syntactic and semantic features

    Loni, B., van Tulder, G., Wiggers, P., Tax, DMJ. & Loog, M., 2011, In : Lecture Notes in Computer Science. 6836, p. 243-250 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  57. Robust semi-supervised least squares classification by implicit constraints

    Krijthe, J. & Loog, M., 2017, In : Pattern Recognition. 63, p. 115-126 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  58. SEDMI: Saliency based edge detection in multispectral images

    Dinh, VC., Leitner, R., Paclik, P., Loog, M. & Duin, RPW., 2011, In : Image and Vision Computing. p. 546-556 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  59. Second order structure of scale-space measurements

    Markussen, B., Steenstrup Pedersen, K. & Loog, M., 2008, In : Journal of Mathematical Imaging and Vision. 31, 2-3, p. 207-220 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  60. Semi-hidden target recognition in gated viewer images fused with thermal IR images

    Smeelen, MA., Schwering, PBW., Toet, A. & Loog, M., 2014, In : Information Fusion. 18, 1, p. 131-147 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

  61. Semi-supervised linear discriminant analysis through moment-constraint parameter estimation

    Loog, M., 2014, In : Pattern Recognition Letters. 37, 1, p. 24-31 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  62. Semi-supervised linear discriminant analysis using moment constraints

    Loog, M., 2012, In : Lecture Notes in Computer Science. 7081, p. 32-41 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  63. Semi-supervised nearest mean classification through a constrained log-likelihood

    Loog, M. & Jensen, AC., 2015, In : IEEE Transactions on Neural Networks. 26, 5, p. 995-1006 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  64. Shape-based assessment of vertebral fracture risk in postmenopausal women using discriminative shape alignment

    Crimi, A., Loog, M., Bruijne, M. D., Nielsen, M. & Lillholm, M., 2012, In : Academic Radiology. 19, 4, p. 446-454 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  65. 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

  66. Single- vs. multiple-instance classification

    Alpaydin, E., Cheplygina, VV., Loog, M. & Tax, DMJ., 2015, In : Pattern Recognition. 48, 9, p. 2831-2838 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  67. Stratified generalized procrustes analysis

    Bartoli, A., Pizarro, D. & Loog, M., 2013, In : International Journal of Computer Vision. 101, 2, p. 227-253 27 p.

    Research output: Contribution to journalArticleScientificpeer-review

  68. Supervised scale-invariant segmentation (and detection)

    Li, Y., Tax, DMJ. & Loog, M., 2012, In : Lecture Notes in Computer Science. 6667, p. 350-361 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  69. Template Matching via Densities on the Roto-Translation Group

    Bekkers, E. J., Loog, M., ter Haar Romeny, B. M. & Duits, R., 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 2, p. 452-466 15 p., 7864477.

    Research output: Contribution to journalArticleScientificpeer-review

  70. The MDF discrimination measure: Fisher in disguise

    Loog, M., Duin, RPW. & Viergever, MA., 2004, In : Neural Networks. 17, p. 563-566 4 p.

    Research output: Contribution to journalArticleScientificpeer-review

  71. The dipping phenomenon

    Loog, M. & Duin, RPW., 2012, In : Lecture Notes in Computer Science. 7626, p. 310-317 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  72. The improbability of Harris interest points

    Loog, M. & Lauze, F., 2010, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 32, 6, p. 1141-1147 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  73. Using multiscale spectra in regularizing covariance matrices for hyperspectral image classification

    Jensen, AFC., Loog, M. & Solberg, AHS., 2010, In : IEEE Transactions on Geoscience and Remote Sensing. 48, 4, p. 1851-1859 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  74. Editorial › Scientific › Not peer-reviewed
  75. Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision

    Wu, J., Bai, X., Loog, M., Roli, F. & Zhou, Z-H., 2017, In : Pattern Recognition. 71, p. 444-445 2 p.

    Research output: Contribution to journalEditorialScientific

  76. Chapter › Scientific › Not peer-reviewed
  77. L'exception Néérlandaise

    Elsinga, M. & Wassenberg, FAG., 2010, Le Loogement social en Europe au début du XXIe siècle la révision générale. Lévy-Vroeland, C. & Tutin, C. (eds.). Rennes: Presses Universitaires de Rennes, p. 49-65 247 p.

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

  78. Non-Euclidean dissimilarities: causes, embedding and informativeness

    Duin, RPW., Pekalska, E. & Loog, M., 2013, Similarity-based pattern analysis and recognition. Pelillo, M. (ed.). Berlin, Germany: Springer, p. 13-44 291 p.

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

  79. Supervised Classification: Quite a Brief Overview

    Loog, M., 2018, Machine Learning Techniques for Space Weather. Camporeale, E., Wing, S. & Johnson, J. R. (eds.). Elsevier, p. 113-145 33 p.

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

  80. Chapter › Scientific › Peer-reviewed
  81. The Infrastructure of Bare Life: Another Definition of Housing from and for the Global South

    Avermaete, T., 2017, Infrastructure Space. Ruby, I. & Ruby, A. (eds.). Berlin: Ruby Press, p. 250-263

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

  82. Chapter › Professional
  83. Afbraak zonder zuurstof, win-win-win

    van Lier, J., 2018, Afvalwater: Hoe maken we de cirkel weer rond?: biowetenschappen en maatschappij, kwartaal 2 2018. Vol. Cahier 2. p. 49-51 (biowetenschappen en maatschappij).

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

  84. De industrie en haar watergebruik

    Spanjers, H. & van Lier, J., 2018, Afvalwater: Hoe maken we de cirkel weer rond?: biowetenschappen en maatschappij, kwartaal 2 2018. Vol. Cahier 2. p. 45-48 (biowetenschappen en maatschappij).

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

  85. Over culturele referentiekaders en ankerpunten: Aantekeningen bij een semantische zoektocht in Nederland en Vlaanderen: Essay

    Avermaete, T., 2017, Frankfurt dialogen: Aanleidingen voor een gesprek over architectuur. Raats, M. (ed.). Rotterdam: Het Nieuwe Instituut, p. 92-118

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

  86. Retorische terughoudendheid: Essay

    Rosbottom, D., 2017, Frankfurt dialogen: Aanleidingen voor een gesprek over architectuur. Raats, M. (ed.). Rotterdam: Het Nieuwe Instituut, p. 64-90

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

  87. Chapter › Popular
  88. 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

  89. Conference contribution › Scientific › Not peer-reviewed
  90. 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

  91. Multi-class Linear Feature Extraction by Nonlinear PCA.

    Duin, RPW., Loog, M. & Haeb-Umbach, R., 2000, ICPR15, Proc. 15th Int. Conference on Pattern Recognition. Sanfeliu, A., Villanueva, JJ., Vanrell, M., Alquezar, R., Jain, AK. & Kittler, J. (eds.). Los Alamitos: IEEE, p. 398-401 4 p. (International Conference on Pattern Recognition; vol. 2).

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

  92. Navigation 3D sans Reconstruction Explicite

    Peyras, J., Bartoli, A., Georgel, P. & Loog, M., 2009, Actes des Orasis09. SN (ed.). Frankrijk: Association Française pour la Reconnaissance et l'Interprétation des Formes (AFRIF)., p. 1-8 8 p.

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

  93. Conference contribution › Scientific › Peer-reviewed
  94. 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

  95. 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

  96. 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

  97. 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

  98. 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

  99. 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

  100. 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

  101. 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

  102. 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

  103. 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

  104. 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

  105. 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

  106. 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

  107. 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

  108. 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

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