1. 2019
  2. 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

  3. 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

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

    Venkatesan, P., 2019, 90 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  5. 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

  6. Hydrometallurgical recycling of rare earth elements from secondary resources

    Peelman, S., 2019, 139 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  7. 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

  8. 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

  9. 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

  10. 2018
  11. 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

  12. 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

  13. 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

  14. Bioinformatic Analysis of Genomic and Transcriptomic Variation in Fungi

    Gehrmann, T., 2018, 121 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  15. 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

  16. 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

  17. 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

  18. 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

  19. On domain-adaptive machine learning

    Kouw, W., 2018, 189 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  20. 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

  21. 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

  22. 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

  23. 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

  24. Towards Practical Active Learning for Classification

    Yang, Y., 2018, 133 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  25. 2017
  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. Generalization Bound Minimization for Active Learning

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

    Research output: Contribution to conferenceAbstractScientific

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 2016
  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

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

    Smith, C., 2016, 210 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  53. 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

  54. 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

  55. 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

  56. 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

  57. 2015
  58. 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

  59. 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

  60. 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

  61. 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

  62. 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

  63. 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

  64. 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

  65. 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

  66. 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

  67. 2014
  68. 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

  69. 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

  70. 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

  71. 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

  72. 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

  73. 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

  74. 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

  75. 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

  76. 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

  77. 2013
  78. 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

  79. 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

  80. 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

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

    Dinh, VC., 2013, 112 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  82. 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

  83. 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

  84. 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

  85. 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

  86. 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

  87. 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

  88. 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

  89. 2012
  90. 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

  91. 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

  92. 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

  93. 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

  94. 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

  95. 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

  96. 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

  97. 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

  98. 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

  99. 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

  100. 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

  101. 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

  102. 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

  103. 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

  104. 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

  105. 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

  106. 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

  107. 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

  108. 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

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