1. 2015
  2. 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

  3. 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

  4. 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

  5. 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

  6. 2014
  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 2013
  17. 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/Report/Conference proceedingConference contributionScientificpeer-review

  18. 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/Report/Conference proceedingConference contributionScientificpeer-review

  19. 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

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

    Dinh, VC., 2013, 112 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  21. 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

  22. 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

  23. 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