1. 2013
  2. 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

  3. 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/Report/Conference proceedingConference contributionScientificpeer-review

  4. 2012
  5. Combining multi-scale dissimilarities for image classification

    Li, Y., Duin, RPW. & Nielsen, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 1639-1642 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  6. Supervised scale-invariant segmentation (and detection)

    Li, Y., Tax, DMJ. & Loog, M., 2012, In : Lecture Notes in Computer Science. 6667, p. 350-361 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. 2010
  8. Exploiting noisy and incomplete biological data for prediction and knowledge discovery

    Li, Y., 2010, Delft: Mediamatica /Technische Universiteit Delft. 110 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  9. 2008
  10. Integration of prior knowledge of measurement noise in kernel density classification

    Li, Y., de Ridder, D., Duin, RPW. & Reinders, MJT., 2008, In : Pattern Recognition. 41, 1, p. 320-330 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. M-PAS: a comprehensive and flexible metabolic pathway alignment and scoring method

    Li, Y., de Ridder, D., de Groot, MJL. & Reinders, MJT., 2008, Proceedings of the fourteenth annual conference of the Advanced School for Computing and Imaging. Smit, GJM., Epema, DHJ. & Lew, MS. (eds.). Delft: ASCI, p. 121-144 24 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  12. Metabolic pathway alignment (M-PAL) reveals diversity and alternatives in conserved networks

    Li, Y., de Ridder, D., de Groot, MJL. & Reinders, MJT., 2008, Proceedings of the 6th Asia-Pacific Bioinformatics Conference. Brazma, A., Miyano, S. & Akutsu, T. (eds.). London, UK: Imperial college press, p. 272-285 14 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  13. Metabolic pathway alignment between species using a comprehensive and flexible similarity measure

    Li, Y., de Ridder, D., de Groot, MJL. & Reinders, MJT., 2008, In : BMC Systems Biology. p. 1-22 22 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. 2007
  15. An integrative Kernel method dealing with diverse measurement noise in classification

    Li, Y., de Ridder, D., Duin, RPW. & Reinders, MJT., 2007, Proceedings of the thirteenth annual Conference of the Advanced School for Computing and imaging. Jansen, F. W., Pierre, G. E. O., Veenman, C. J. & Heijnsdijk, J. W. J. (eds.). Delft: ASCI, p. 127-134 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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