1. 1999
  2. Approximate pairwise accuracy criteria for multiclass linear dimension in reduction

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

    Research output: Book/ReportReportScientific

  3. 2000
  4. 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 Computer Society, p. 398-401 4 p. (International Conference on Pattern Recognition; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

  5. 2001
  6. 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

  7. 2002
  8. Non-iterative heteroscedastic linear dimension reduction for two-class data; from Fisher to Chernoff

    Loog, M. & Duin, RPW., 2002, Structural, Syntactic, and Statistical Pattern Recognition, Proceedings. Caelli, T., Amin, A., Duin, RPW., Kamel, M. & de Ridder, D. (eds.). Berlin: Springer Verlag, p. 488-496 9 p. (Lecture Notes in Computer Science; vol. 2396).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  9. 2004
  10. 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/Report/Conference proceedingConference contributionScientificpeer-review

  11. 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

  12. Local Fisher embedding

    de Ridder, D., Loog, M. & Reinders, MJT., 2004, ICPR2004; Proceedings of the 17th international conference on pattern recognition. Kittler, J., Petrou, M. & Nixon, M. (eds.). Los Alamitos: IEEE Society, p. 295-298 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  13. Supervised dimensionality reduction and contextual pattern recognition in medical image processing

    Loog, M., 2004, S.l.: s.n.. 116 p.

    Research output: ThesisDissertation (external)Scientific

  14. 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

  15. 2005
  16. 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

  17. 2006
  18. Local discriminant analysis

    Loog, M. & de Ridder, D., 2006, Proceedings of the 18th international conference on pattern recognition. s.n. (ed.). USA: IEEE Society, p. 1-4 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  19. Recent submissions in linear dimensionality reduction and face recognition

    Duin, RPW., Loog, M. & Ho, TK., 2006, Elsevier.

    Research output: Other contributionScientific

  20. 2008
  21. 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

  22. 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/Report/Conference proceedingConference contributionScientificpeer-review

  23. 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

  24. 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

  25. On an elementary definition of visual saliency

    Loog, M., 2008, p. 4-4. 1 p.

    Research output: Contribution to conferenceAbstractScientific

  26. 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

  27. 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

  28. 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

  29. 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

  30. 2009
  31. 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/Report/Conference proceedingConference contributionProfessional

  32. 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/Report/Conference proceedingConference contributionScientificpeer-review

  33. 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/Report/Conference proceedingConference contributionScientificpeer-review

  34. 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

  35. 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

  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. 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/Report/Conference proceedingConference contributionScientific

  39. 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

  40. Quantative comperison of spot detection methods in live-cell fluoresence microscopy imaging

    Smal, I., Loog, M., Niessen, W. & Meijering, E., 2009, 2009 6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro proceedings. S. Reeves (ed.). Piscataway,NJ, USA: IEEE Society, p. 1178-1181 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  41. Quantitative comparison of spot detection methods in live-cell fluorescence microscopy imaging

    Smal, I., Loog, M., Niessen, WJ. & Meijering, E., 2009, IEEE International Symposium on Biomedical Imaging: From Nano to Macro - ISBI 2009. s.n. (ed.). s.n., p. 1178-1181 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  42. 2010
  43. 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

  44. 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

  45. 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

  46. 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/Report/Conference proceedingConference contributionScientificpeer-review

  47. 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/Report/Conference proceedingConference contributionScientificpeer-review

  48. 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/Report/Conference proceedingConference contributionScientificpeer-review

  49. 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

  50. 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

  51. 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

  52. Dissimilarity-based detection of schizophrenia

    Ulas, A., Duin, RPW., Castellani, U., Loog, M., Bicego, M. & Murino, M., 2010, Proceedings of the ICPR 2010 workshop on Pattern Recognition Challenges in FMRI Neuroimaging, 2010. S.N. (ed.). NY,NY, USA: IEEE Society, p. 32-35 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  53. 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

  54. Early diagnosis of dementia based on intersubject whole-brain dissimilarities

    Klein, S., Loog, M., van der Lijn, F., den Heijer, T., Hammers, A., Bruijne, M., van der Lugt, A., Duin, RPW., Breteler, MMB. & Niessen, WJ., 2010, Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. S.N. (ed.). Piscataway, NJ USA: IEEE Society, p. 249-252 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  55. 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

  56. 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

  57. 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/Report/Conference proceedingChapterScientific

  58. 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

  59. Stratified generalized procrustes analysis

    Bartoli, A., Pizarro, D. & Loog, M., 2010, Proceedings of the British Machine Vision Conference 2010. Labrosse, F., Zwiggelaar, R., Liu, Y. & Tiddeman, B. (eds.). Malvern, UK: BVMA Press, p. 1-10 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  60. 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

  61. 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

  62. 2011
  63. 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/Report/Conference proceedingConference contributionScientific

  64. 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

  65. 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

  66. 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

  67. 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

  68. Information theoretic preattentive saliency

    Loog, M., 2011, 2011 IEEE International Conference on Computer Vision Workshops. Escolano, F., Rangarajan, A., Yuille, AL. & Hancock, ER. (eds.). Piscataway, NJ, USA: IEEE Society, p. 1418-1424 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  69. 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

  70. 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

  71. 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

  72. Supervised image segmentation with scale invariance

    Li, Y., Tax, DMJ. & Loog, M., 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/Report/Conference proceedingConference contributionScientificpeer-review

  73. Supervised localization of cell nuclei using dissimilarities.

    Ibba, A., Loog, M. & Duin, RPW., 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/Report/Conference proceedingConference contributionScientificpeer-review

  74. 2012
  75. 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/Report/Conference proceedingConference contributionScientificpeer-review

  76. 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/Report/Conference proceedingConference contributionScientificpeer-review

  77. 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

  78. 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

  79. 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

  80. 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

  81. 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

  82. 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

  83. Does one rotten apple spoil the whole barrel?

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). IJSCI, p. 1156-1159 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  84. Improving cross-validation based classifier selection using meta-learning

    Krijthe, JH., Nap, M. & Loog, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 2873-2867 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  85. Metric learning by directly minimizing the k-NN training error

    Dinh, VC., Loog, M. & Nielsen, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 1265-1268 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  86. 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

  87. Moment constrained semi-supervised LDA

    Loog, M., 2012, Proceedings of the the 24th Benelux conference on artificial intelligence. Uiterwijk, JWHM., Roos, N. & Winands, MHM. (eds.). Maastricht, Netherlands: Maastricht University, p. 303-304 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  88. 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

  89. 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

  90. Nearest neighbor-based importance weighting

    Loog, M., 2012, The 2012 IEEE workshop on machine learning for signal processing (MLSP) proceedings. SN (ed.). NY, NY, USA: IEEE Society, p. 1-6 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  91. 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

  92. 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

  93. Supervised localization of cell nuclei on TMA images

    Ibba, A., Duin, RPW. & Loog, M., 2012, Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). Liu, D. & Zhou et al, SK. (eds.). Piscataway, NJ, USA: IEEE Society, p. 4321-4327 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  94. 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

  95. 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

  96. Towards exaggerated emphysema stereotypes

    Chen, C., Sørensen, L., Lauze, F., Igel, C., Loog, M., Feragen, A., Bruijne, M. D. & Nielsen, M., 2012, In : Proceedings of SPIE- International Society for Optical Engineering. 8315, p. 1-13 13 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  97. Training data selection for cancer detection in multispectral endoscopy images

    Dinh, VC., Nap, M., Leitner, R., Loog, M. & Duin, RPW., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 161-164 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  98. 2013
  99. 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 Verlag, p. 13-24 12 p. (Lecture Notes in Computer Science; vol. 7872).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  100. 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 Verlag, p. 184-195 12 p. (Lecture Notes in Computer Science; vol. 7986).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  101. 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

  102. Learning from weakly representative data and applications in spectral image analysis

    Dinh, VC., 2013, 112 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  103. Multi-scale pattern recognition for image classification and segmentation

    Li, Y., 2013, Delft, The Netherlands: INSY, TU Delft. 117 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  104. 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

  105. 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

  106. 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/Report/Conference proceedingChapterScientific

  107. On the informativeness of asymmetric dissimilarities

    Plasencia Calana, Y., Cheplygina, VV., Duin, RPW., García-Reyes, EB., Orozco-Alzate, M., Tax, DMJ. & Loog, M., 2013, Similarity-based pattern recognition - Proceedings Second International Workshop SIMBAD 2013. Hancock, E. & Pelillo, M. (eds.). Berlin-Heidelberg: Springer Verlag, p. 75-89 15 p. (Lecture Notes in Computer Science; vol. 7953).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  108. 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

  109. The link between multiple-instance learning and learning from only positive and unlabelled examples

    Li, Y., Tax, DMJ., Duin, RPW. & Loog, M., 2013, Proceedings 11th International Workshop on Multiple Classifier Systems. Zhou, Z-H., Roli, F. & Kittler, J. (eds.). Berlin-Heidelberg: Springer Verlag, p. 157-166 10 p. (Lecture Notes in Computer Science; vol. 7872).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  110. 2014
  111. 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/Report/Conference proceedingConference contributionScientificpeer-review

  112. 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

  113. Evaluating Classification Performance with only Positive and Unlabeled Samples

    Hajizadeh, S., Li, Z., Dollevoet, RPBJ. & Tax, DMJ., 2014, Structural, Syntactic, and Statistical Pattern Recognition. Franti, P., Brown, G., Loog, M., Escolano, F. & Pelillo, M. (eds.). Berlin: Springer, p. 233-242 10 p. (Lecture Notes in Computer Science; vol. 8621).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  114. Metric learning in dissimilarity space for improved nearest neighbor performance

    Duin, RPW., Bicego, M., Orozco-Alzate, M., Kim, S-W. & Loog, M., 2014, Proceedings of the Joint IAPR International Workshop, S+SSPR 2014. Fränti, P., Brown, G., Loog, M., Escolano, F. & Pelillo, M. (eds.). Berlin Heidelberg Germany: Springer, p. 183-192 10 p. (Lecture Notes in Computer Science; vol. 8621).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  115. 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

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

    Cheplygina, VV., Tax, DMJ., Loog, M. & Feragen, A., 2014, Proceedings 5th International workshop MLMI 2014, held in conjunction with MICCAI 2014. Wu, G., Zhang, D. & Zhou, L. (eds.). Springer, p. 190-197 8 p. (Lecture Notes in Computer Science; vol. 8679).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  117. 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

  118. 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

  119. Towards scalable prototype selection by genetic algorithms with fast criteria

    Plasencia Calana, Y., Orozco Alzate, M., Mendez-Vasquez, H., García-Reyes, EB. & Duin, RPW., 2014, Proceedings of the Joint IAPR International Workshop, S+SSPR 2014. Fränti, P., Brown, G., Loog, M., Escolano, F. & Peilllo, M. (eds.). Berlin Heidelberg, Germany: Springer, p. 343-352 10 p. (Lecture Notes in Computer Science; vol. 8621).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  120. 2015
  121. Housing pathology

    Thomsen, A., 2015, Proceedings of the 1st International Symposium on Building Pathology: ISBP-2015. de Freitas, V. P., de Angelis, E., Corvacho, H., Delgado, J. M. P. Q. & Guimaraes, A. S. (eds.). Porto: FEUP, p. 377-388

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  122. Implicitly Constrained Semi-Supervised Least Squares Classification

    Krijthe, JH. & Loog, M., 2015, Proceedings of the 14th International Symposium on Advances in Intelligent Data Analysis XIV. Fromont, T., de Bie, T. & van Leeuwen, M. (eds.). Dordrecht: Springer, p. 158-169 12 p. (Lecture Notes in Computer Science; vol. 9385).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  123. Label stability in multiple instance learning

    Cheplygina, VV., Sørensen, L., Tax, DMJ., de Bruijne, M. & Loog, M., 2015, Proceedings - 18th International Conference on Medical Image Computing and Computer-Assisted Intervention. Hornegger, J., Navab, N., Wells, WM. & Frangi, AF. (eds.). Cham: Springer, p. 539-546 8 p. (Lecture Notes in Computer Science; vol. 9349).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  124. 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

  125. 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

  126. Relevance sampling

    Nielsen, M., Markussen, B. & Loog, M., 2015, Proceedings of the 8ht Workshop on Information Theoretic Methods in Science and Engineering. Rissanen, J., Harremoes, P., Forchhammer, S., Roos, T. & Myllymaki, P. (eds.). Helsinki: University of Helsinki, p. 35-38 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  127. 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

  128. 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

  129. Training of templates for object recognition in invertible orientation scores: Application to optic nerve head detection in retinal images

    Bekkers, E., Duits, R. & Loog, M., 2015, Proceedings - 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition. Tai, XC., Bae, E., Chan, TF. & Lysaker, M. (eds.). Cham, Switzerland: Springer, p. 464-477 14 p. (Lecture Notes in Computer Science; vol. 8932).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  130. 2016
  131. 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/Report/Conference proceedingConference contributionScientificpeer-review

  132. 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/Report/Conference proceedingConference contributionScientificpeer-review

  133. 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/Report/Conference proceedingConference contributionScientificpeer-review

  134. 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

  135. 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

  136. 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

  137. Early Experiences with Crowdsourcing Airway Annotations in Chest CT

    Cheplygina, V., Perez-Rovira, A., Kuo, W., Tiddens, H. A. W. M. & Bruijne, M. D., 2016, 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, Proceedings. Carneiro, G., Mateus, D., Peter, L., Bradley, A., Tavares, J. M. R. S., Belagiannis, V., Papa, J. P., Nascimento, J. C., Loog, M., Lu, Z., Cardoso, J. S. & Cornebise, J. (eds.). Cham: Springer, p. 209-2018 10 p. (Lecture Notes in Computer Science; vol. 10008).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  138. 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

  139. Learning Algorithms for Digital Reconstruction of Van Gogh’s Drawings

    Zeng, Y., Tang, J., van der Lubbe, J. & Loog, M., 2016, EuroMed 2016 - 6th International Conference - Proceedings: Digital Heritage - Progress in Cultural Heritage: Documentation, Preservation, and Protection. Ioannides, M., Vink, E., Moropoulou, A., Hagedorn-Saupe, M., Fresa, A., Liestøl, G., Rajcic, V. & Grussenmeyer, P. (eds.). Cham: Springer International Publishing, Vol. 1. p. 322-333 12 p. (Lecture Notes in Computer Science; vol. 10058).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  140. On Regularization Parameter Estimation under Covariate Shift

    Kouw, W. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 426-431 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  141. Optimistic semi-supervised least squares classification

    Krijthe, J. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, p. 1677-1682 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  142. Optimum Single Molecule Localization Microscopy: From Single Molecule Detections to Nanoscopic Observations

    Smith, C., 2016, 210 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  143. Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings

    Robles-Kelly, A. (ed.), Loog, M. (ed.), Biggio, B. (ed.), Escolano, F. (ed.) & Wilson, R. (ed.), 2016, Cham: Springer International Publishing. 378 p. (Lecture Notes in Computer Science; vol. 10029)

    Research output: Book/ReportBook editingScientificpeer-review

  144. The Peaking Phenomenon in Semi-supervised Learning

    Krijthe, J. & Loog, M., 2016, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, proceedings. Robles-Kelly, A., Loog, M., Biggio, B., Escolano, F. & Wilson, R. (eds.). Cham: Springer, p. 299-309 11 p. (Lecture Notes in Computer Science; vol. 10029).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  145. The Similarity Between Dissimilarities

    Tax, D., Cheplygina, V., Duin, B. & van de Poll, J., 2016, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, proceedings. Robles-Kelly, A., Loog, M., Biggio, B., Escolano, F. & Wilson, R. (eds.). Cham: Springer, p. 84-94 11 p. (Lecture Notes in Computer Science; vol. 10029).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  146. Weighted K-Nearest Neighbor Revisited

    Bicego, M. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 1642-1647 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  147. Use of volunteers' information to support proactive inspection of hydraulic structures

    Cortes Arevalo, J., 26 Apr 2016, 177 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  148. 2017
  149. 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 International Publishing AG, 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/Report/Conference proceedingConference contributionScientificpeer-review

  150. 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/Report/Conference proceedingChapterPopular

  151. Do you trust your multiple instance learning classifier?

    Cheplygina, V., Sørensen, L., Tax, D., de Bruijne, M. & Loog, M., 2017, p. 72-73. 2 p.

    Research output: Contribution to conferenceAbstractScientific

  152. 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

  153. Generalization Bound Minimization for Active Learning

    Viering, T., Krijthe, J. & Loog, M., 2017, p. 108-109. 2 p.

    Research output: Contribution to conferenceAbstractScientific

  154. Object Extent Pooling for Weakly Supervised Single-Shot Localization

    Gudi, A., van Rosmalen, N., Loog, M. & van Gemert, J., 2017, Britisch Machine Vision Conference 2017. p. 1-12 12 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  155. 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/Report/Conference proceedingChapterProfessional

  156. Reproducible pattern recognition research: The case of optimistic SSL

    Krijthe, J. H. & Loog, M., 2017, Reproducible Research in Pattern Recognition: 1st International Workshop, RRPR 2016, Revised Selected Papers. Kerautret, B., Colom, M. & Monasse, P. (eds.). Cham: Springer Verlag, p. 48-59 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10214 ).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  157. 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/Report/Conference proceedingChapterProfessional

  158. 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

  159. Supervised Scale-Regularized Linear Convolutionary Filters

    Loog, M. & Lauze, F., 2017, Proceedings of BMVC 2017. p. 1-11 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

  160. 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/Report/Conference proceedingChapterScientificpeer-review

  161. 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

  162. 2018
  163. 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

  164. 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

  165. 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/Report/Conference proceedingChapterProfessional

  166. Bioinformatic Analysis of Genomic and Transcriptomic Variation in Fungi

    Gehrmann, T., 2018, 121 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  167. 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/Report/Conference proceedingConference contributionScientificpeer-review

  168. 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/Report/Conference proceedingChapterProfessional

  169. Effects of sampling skewness of the importance-weighted risk estimator on model selection

    Kouw, W. & Loog, M., 2018, 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, p. 1468-1473 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  170. Gradient descent for gaussian processes variance reduction

    Bottarelli, L. & Loog, M., 2018, Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, Proceedings. Bai, X., Hancock, E. R., Ho, T. K., Wilson, R. C., Biggio, B. & Robles-Kelly, A. (eds.). Cham: Springer Verlag, p. 160-169 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11004 ).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  171. On domain-adaptive machine learning

    Kouw, W., 2018, 189 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  172. Protein remote homology detection using dissimilarity-based multiple instance learning

    Mensi, A., Bicego, M., Lovato, P., Loog, M. & Tax, D. M. J., 2018, Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, Proceedings. Bai, X., Hancock, E. R., Ho, T. K., Wilson, R. C., Biggio, B. & Robles-Kelly, A. (eds.). Cham: Springer Verlag, p. 119-129 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11004 ).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  173. 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/Report/Conference proceedingChapterScientific

  174. 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

  175. The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning

    Krijthe, J. H. & Loog, M., 2018, NIPS'18: Proceedings of the 32nd International Conference on Neural Information Processing Systems. Bengio, S., Wallach, H. M., Larochelle, H., Grauman, K. & Cesa-Bianchi, N. (eds.). Curran Associates, Inc., p. 1793-1802 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  176. Towards Practical Active Learning for Classification

    Yang, Y., 2018, 133 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  177. 2019
  178. 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

  179. Electrochemical recycling of rare earth elements from NdFeB magnet waste

    Venkatesan, P., 2019, 90 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  180. 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

  181. Hydrometallurgical recycling of rare earth elements from secondary resources

    Peelman, S., 2019, 139 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  182. Learning an MR acquisition-invariant representation using Siamese neural networks

    Kouw, W. M., Loog, M., Bartels, L. W. & Mendrik, A. M., 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) : Proceedings. Danvers: IEEE, p. 364-367 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  183. 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

  184. 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

  185. 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

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

    Mensi, A., Bicego, M., Lovato, P., Loog, M. & Tax, D. M. J., 1 Dec 2019, In : Pattern Recognition Letters. 128, p. 231-236 6 p.

    Research output: Contribution to journalArticleScientificpeer-review