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M. Loog

 https://orcid.org/0000-0002-1298-8461
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  • 2023

    A View on Model Misspecification in Uncertainty Quantification

    Kato, Y., Tax, D. M. J. & Loog, M., 2023, Artificial Intelligence and Machine Learning - 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Revised Selected Papers. Calders, T., Goethals, B., Vens, C. & Lijffijt, J. (eds.). Springer, p. 65-77 13 p. (Communications in Computer and Information Science; vol. 1805 CCIS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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  • LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks

    Mohr, F., Viering, T. J., Loog, M. & van Rijn, J. N., 2023, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings. Amini, M-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer, p. 3-19 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13717 LNAI).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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  • Percolate: An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Response

    Mourragui, S. M. C., Loog, M., van Nee, M., de Wiel, M. A. V., Reinders, M. J. T. & Wessels, L. F. A., 2023, Research in Computational Molecular Biology - 27th Annual International Conference, RECOMB 2023, Proceedings. Tang, H. (ed.). Springer, p. 120-138 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13976 LNBI).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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    1 Citation (Scopus)
    42 Downloads (Pure)

  • Social Processes: Self-supervised Meta-learning Over Conversational Groups for Forecasting Nonverbal Social Cues

    Raman, C., Hung, H. & Loog, M., 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). Springer, p. 639-659 21 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13803 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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    1 Citation (Scopus)
    17 Downloads (Pure)
  • 2022

    Enhancing Classifier Conservativeness and Robustness by Polynomiality

    Wang, Z. & Loog, M., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE, p. 13317-13326 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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    1 Citation (Scopus)
    11 Downloads (Pure)

  • Model-Based Reinforcement Learning with State Abstraction: A Survey

    Starre, R. A. N., Loog, M. & Oliehoek, F. A., 2022, 34th Benelux Conference on Artificial Intelligence (BNAIC) and the 30th Belgian Dutch Conference on Machine Learning (Benelearn). Calders, T., Goethals, B., Vens, C. & Lijffijt, J. (eds.). p. 133–148 16 p. (Communications in Computer and Information Science; vol. 1805 CCIS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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  • 2021

    Consistency and Finite Sample Behavior of Binary Class Probability Estimation

    Mey, A. & Loog, M., 2021, 35th aaai conference on artificial intelligence 33rd conference on innovative applications of artificial intelligence the eleventh symposium on educational advances in artificial intelligence. Association for the Advancement of Artificial Intelligence (AAAI), p. 8967-8974

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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  • ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility

    Yildiz, B., Hung, H., Krijthe, J. H., Liem, C. C. S., Loog, M., Migut, G., Oliehoek, F. A., Panichella, A., Pawełczak, P., Picek, S., de Weerdt, M. & van Gemert, J., 2021, Reproducible Research in Pattern Recognition - 3rd International Workshop, RRPR 2021, Revised Selected Papers. Kerautret, B., Colom, M., Krähenbühl, A., Lopresti, D., Monasse, P. & Talbot, H. (eds.). Springer, p. 3-11 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12636 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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    5 Citations (Scopus)
    82 Downloads (Pure)

  • Target Robust Discriminant Analysis

    Kouw, W. M. & Loog, M., 2021, Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, S+SSPR 2020, Proceedings. Torsello, A., Rossi, L., Pelillo, M., Biggio, B. & Robles-Kelly, A. (eds.). Springer, p. 3-13 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12644 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    1 Citation (Scopus)
  • 2020

    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.). SpringerOpen, Vol. 12080. 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 volume › Conference contribution › Scientific › peer-review

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    1 Citation (Scopus)
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  • Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings

    Schmahl, K. G., Viering, T. J., Makrodimitris, S., Naseri Jahfari, A., Tax, D. & Loog, M., 1 Nov 2020, Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science. Online: Association for Computational Linguistics, p. 94-103 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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  • 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: SpringerOpen, Vol. 12080. 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 volume › Conference contribution › Scientific › peer-review

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    4 Citations (Scopus)
    41 Downloads (Pure)
  • 2019

    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 volume › Conference contribution › Scientific › peer-review

    4 Citations (Scopus)

  • Minimizers of the empirical risk and risk monotonicity

    Loog, M., Viering, T. J. & Mey, A., 2019, Neural Information Processing Systems. 11 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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  • 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, Vol. 11738. 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 volume › Conference contribution › Scientific › peer-review

    2 Citations (Scopus)

  • 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 2019. Piscataway: IEEE, p. 1-6 6 p. 8918731. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2019-October).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    2 Citations (Scopus)
  • 2018

    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 volume › Conference contribution › Scientific › peer-review

    5 Citations (Scopus)

  • 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 volume › Conference contribution › Scientific › peer-review

    3 Citations (Scopus)

  • 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 volume › Conference contribution › Scientific › peer-review

    1 Citation (Scopus)

  • 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 volume › Conference contribution › Scientific › peer-review

    2 Citations (Scopus)

  • 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 volume › Conference contribution › Scientific › peer-review

    4 Citations (Scopus)
  • 2017

    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 volume › Conference contribution › Scientific › peer-review

  • Object extent pooling for weakly supervised single-shot localization

    Gudi, A., Van Rosmalen, N., Loog, M. & Van Gemert, J., 1 Jan 2017, British Machine Vision Conference 2017, BMVC 2017. BMVA Press, (British Machine Vision Conference 2017, BMVC 2017).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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    10 Citations (Scopus)
    21 Downloads (Pure)

  • 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 volume › Conference contribution › Scientific › peer-review

    1 Citation (Scopus)

  • 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 volume › Conference contribution › Scientific › peer-review

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    4 Citations (Scopus)
    41 Downloads (Pure)
  • 2016

    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 volume › Conference contribution › Scientific › peer-review

    34 Citations (Scopus)

  • 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 volume › Conference contribution › Scientific › peer-review

    8 Citations (Scopus)

  • 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 volume › Conference contribution › Scientific › peer-review

    8 Citations (Scopus)

  • 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 volume › Conference contribution › Scientific › peer-review

    2 Citations (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    1 Citation (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    5 Citations (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    3 Citations (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    21 Citations (Scopus)
  • 2015

    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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    21 Citations (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    14 Citations (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    6 Citations (Scopus)
  • 2014

    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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    38 Citations (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    17 Citations (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    3 Citations (Scopus)
  • 2013

    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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    6 Citations (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    2 Citations (Scopus)

  • 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, p. 75-89 15 p. (Lecture Notes in Computer Science; vol. 7953).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    7 Citations (Scopus)

  • 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, p. 157-166 10 p. (Lecture Notes in Computer Science; vol. 7872).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    5 Citations (Scopus)
  • 2012

    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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    4 Citations (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    31 Citations (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    4 Citations (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    6 Citations (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    1 Citation (Scopus)

  • 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/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review