1. 2020
  2. A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization

    Mey, A., Viering, T. J. & Loog, M., 2020, Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings. Berthold, M. R., Feelders, A. & Krempl, G. (eds.). Springer Open, p. 326-338 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12080 LNCS).

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

  3. Assumptions & Expectations in Semi-Supervised Machine Learning

    Mey, A., 2020, 117 p.

    Research output: ThesisDissertation (TU Delft)

  4. Making Learners (More) Monotone

    Viering, T. J., Mey, A. & Loog, M., 2020, Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings. Berthold, M. R., Feelders, A. & Krempl, G. (eds.). Cham: Springer Open, p. 535-547 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12080 ).

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

  5. Semi-generative modelling: Covariate-shift adaptation with cause and effect features

    von Kügelgen, J., Mey, A. & Loog, M., 2020, In : Proceedings of Machine Learning Research. 89, 9 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  6. 2019
  7. 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

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

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

    Research output: Contribution to journalArticleScientificpeer-review

  9. 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

  10. Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling

    Venkatraghavan, V., Bron, E. E., Niessen, W. J. & Klein, S., 2019, In : NeuroImage. 186, p. 518-532

    Research output: Contribution to journalArticleScientificpeer-review

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

    Venkatesan, P., 2019, 90 p.

    Research output: ThesisDissertation (TU Delft)

  12. 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

  13. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  14. On the Statistical Detection of Adversarial Instances over Encrypted Data

    Sheikhalishahi, M., Nateghizad, M., Martinelli, F., Erkin, Z. & Loog, M., 2019, Security and Trust Management - 15th International Workshop, STM 2019, Proceedings. Mauw, S. & Conti, M. (eds.). Springer, p. 71-88 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11738 LNCS).

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

  15. 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

  16. Robust Importance-Weighted Cross-Validation under Sample Selection Bias

    Kouw, W. M., Krijthe, J. H. & Loog, M., 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP). Piscataway: IEEE, p. 1-6 6 p. 8918731

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

  17. 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

  18. 2018
  19. 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

  20. A spatio-temporal reference model of the aging brain

    huizinga, W., Poot, D., Vernooij, M. W., Roshchupkin, G. V., bron, E. E., Ikram, M. A., Rueckert, D., Niessen, W. & Klein, S., 2018, In : NeuroImage. 169, p. 11-22

    Research output: Contribution to journalArticleScientificpeer-review

  21. 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

  22. Asymmetric kernel in Gaussian Processes for learning target variance

    Pintea, S. L., van Gemert, J. C. & Smeulders, A. W. M., 2018, In : Pattern Recognition Letters. 108, p. 70-77 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  23. Contextual loss functions for optimization of convolutional neural networks generating pseudo CTs from MRI

    van Stralen, M., Zhou, Y., Wozny, P. J., Seevinck, P. R. & Loog, M., 2018, Medical Imaging 2018: Image Processing. Angelini, E. D. & Landman, B. A. (eds.). Bellingham: SPIE, p. 105741N-1 - 105741N-6 6 p. 105741N. (Proceedings of Spie; vol. 10574).

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

  24. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  25. 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, 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  26. On domain-adaptive machine learning

    Kouw, W., 2018, 189 p.

    Research output: ThesisDissertation (TU Delft)

  27. 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, 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  28. Supervised Classification: Quite a Brief Overview

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

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

  29. 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

  30. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  31. Towards Practical Active Learning for Classification

    Yang, Y., 2018, 133 p.

    Research output: ThesisDissertation (TU Delft)

  32. 2017
  33. 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

  34. A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection

    Plasencia-Calaña, Y., Li, Y., Duin, R. P. W., Orozco-Alzate, M., Loog, M. & García-Reyes, E., 2017, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, Proceedings. Beltrán-Castañón, C., Nyström, I. & Famili, F. (eds.). Cham: Springer, p. 150-157 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10125 LNCS).

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

  35. Define and Let Go: An Interview with John Habraken

    Havik, K. & Teerds, H., 2017, Facing Value: Radical Perspectives From The Arts. Lauwaert, M. & van Westrenen, F. (eds.). Valiz, p. 313-320

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

  36. 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

  37. 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

  38. Generalization Bound Minimization for Active Learning

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

    Research output: Contribution to conferenceAbstractScientific

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

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

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

  40. 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, 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  41. Retorische terughoudendheid: Essay

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

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

  42. 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

  43. Supervised scale-regularized linear convolutionary filters

    Loog, M. & Lauze, F., 2017, British Machine Vision Conference 2017, BMVC 2017. BMVA Press, 11 p.

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

  44. The Infrastructure of Bare Life: Another Definition of Housing from and for the Global South

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

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

  45. 2016
  46. A soft-labeled self-training approach

    Mey, A. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 2604-2609 6 p.

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

  47. Active Learning Using Uncertainty Information

    Yang, Y. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 2646-2651 6 p.

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

  48. An Empirical Investigation into the Inconsistency of Sequential Active Learning

    Loog, M. & Yang, Y., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 210-215 6 p.

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

  49. 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

  50. 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

  51. 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

  52. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  53. 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

  54. 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, Vol. 1. p. 322-333 12 p. (Lecture Notes in Computer Science; vol. 10058).

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

  55. Modeling the brain morphology distribution in the general aging population

    Huizinga, W., Poot, D. H. J., Roshchupkin, G., Bron, E. E., Ikram, M. A., Vernooij, M. W., Rueckert, D., Niessen, W. J. & Klein, S., 2016, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. Gimi, B. & Krol, A. (eds.). SPIE, Vol. 9788. p. 1-7 97880I. (Proceedings of SPIE; vol. 9788).

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

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