Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Development of machne learning methods with an application of determining of chemical compounds activitiy

2014/13/N/ST6/01832

Keywords:

entropy feature selection metric learning classification clustering chemoinformatics fingerprint

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_13: Bioinformatics, biocomputing, DNA and molecular computation

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

woj. małopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Marek Śmieja 

Number of co-investigators in the project: 3

Call: PRELUDIUM 7 - announced on 2014-03-17

Amount awarded: 71 500 PLN

Project start date (Y-m-d): 2015-02-25

Project end date (Y-m-d): 2016-12-24

Project duration:: 22 months (the same as in the proposal)

Project status: Project settled

Information in the final report

  • Publication in academic press/journals (5)
  • Articles in post-conference publications (3)
  1. R package CEC
    Authors:
    Przemysław Spurek, Konrad Kamieniecki, Jacek Tabor, Krzysztof Misztal, Marek Śmieja
    Academic press:
    Neurocomputing (rok: 2017, tom: 237, strony: 410-413), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.neucom.2016.08.118 - link to the publication
  2. Average Information Content Maximization - a new approach for fingerprint hybridization and reduction
    Authors:
    Marek Śmieja, Dawid Warszycki
    Academic press:
    Plos one (rok: 2016, tom: 45597, strony: e0146666), Wydawca: Public Library of Science
    Status:
    Published
    DOI:
    10.1371/journal.pone.0146666 - link to the publication
  3. Constrained clustering with a complex cluster structure
    Authors:
    Marek Śmieja, Magdalena Wiercioch
    Academic press:
    Advances in Data Analysis and Classification (rok: 2017, tom: 45599, strony: 493-518), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s11634-016-0254-x - link to the publication
  4. Entropy approximation in lossy source coding problem
    Authors:
    Marek Śmieja, Jacek Tabor
    Academic press:
    Entropy (rok: 2015, tom: 17/5, strony: 3400-3418), Wydawca: Molecular Diversity Preservation International (MDPI)
    Status:
    Published
    DOI:
    10.3390/e17053400 - link to the publication
  5. Mixture of metrics optimization for machine learning problems
    Authors:
    Magdalena Wiercioch, Marek Śmieja
    Academic press:
    Schedae Informaticae (rok: 2015, tom: 24, strony: 133-142), Wydawca: Uniwersytet Jagielloński
    Status:
    Published
    DOI:
    10.4467/20838476SI.15.008.3030 - link to the publication
  1. Fast entropy clustering of sparse high dimensional binary data
    Authors:
    Marek Śmieja, Szymon Nakoneczny, Jacek Tabor
    Conference:
    IEEE International Joint Conference on Neural Networks (IJCNN 2016) (rok: 2016, ), Wydawca: IEEE
    Data:
    konferencja 24-29 lipca 2016
    Status:
    Published
    DOI:
    link to the publication
  2. Probability Index of Metric Correspondence as a measure of visualization reliability
    Authors:
    Magdalena Wiercioch, Marek Śmieja, Jacek Tabor
    Conference:
    Workshop on Mchine Learning and Life Science under ECML PKDD 2015 (rok: 2015, ), Wydawca: -
    Data:
    konferencja 7-11.09.2015
    Status:
    Published
  3. Natural language processing methods in biological activity prediction
    Authors:
    Szymon Nakoneczny, Marek Śmieja
    Conference:
    ECML PKDD workshop on Machine Learning and Life Science (MLLS 2016) (rok: 2016, ), Wydawca: KSSK Wroclaw University of Technology
    Data:
    konferencja 23 września 2016
    Status:
    Published

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