1. 2016
  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

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

    Smith, C., 2016, 210 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  13. 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

  14. 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

  15. 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

  16. 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

  17. 2015
  18. 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

  19. 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

  20. 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

  21. 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

  22. 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