Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Theory of incomplete data analysis

2015/19/B/ST6/01819

Keywords:

incomplete data clustering

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

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):

prof. Jacek Tabor 

Number of co-investigators in the project: 5

Call: OPUS 10 - announced on 2015-09-15

Amount awarded: 390 000 PLN

Project start date (Y-m-d): 2016-07-13

Project end date (Y-m-d): 2019-10-12

Project duration:: 39 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Komputer przenośny (2 313 PLN)
  2. Komputer przenośny (2 740 PLN)
  3. Komputer przenośny.
  4. Komputer przenośny (11 217 PLN)
  5. Karta Graficzna (2 szt.) (20 000 PLN)
  6. Monitor o wysokiej rozdzielczości.
  7. Tablet z rysikiem.
  8. Komputer przenośny (2 szt.) (10 000 PLN)
  9. Serwer plików z dyskami (3 950 PLN)

Information in the final report

  • Publication in academic press/journals (7)
  • Articles in post-conference publications (2)
  1. Regression SVM for Incomplete Data
    Authors:
    Lukasz Struski, Marek Śmieja, Bartosz Zieliński, Jacek Tabor
    Academic press:
    Schedae Informaticae (rok: 2017, tom: 26, strony: 23-35), Wydawca: Wydawnictwo Uniwersytetu Jagiellońskiego
    Status:
    Published
    DOI:
    10.4467/20838476SI.17.001.6807 - link to the publication
  2. SVM with a neutral class
    Authors:
    Marek Śmieja, Jacek Tabor, Przemysław Spurek
    Academic press:
    Pattern Analysis and Applications (rok: 2019, tom: 22 (2), strony: 573-582), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s10044-017-0654-3 - link to the publication
  3. Semi-supervised discriminative clustering with graph regularization
    Authors:
    Marek Śmieja, Oleksandr Myronov, Jacek Tabor
    Academic press:
    Konwledge-Based Systems (rok: 2018, tom: 151, strony: 24-36), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.knosys.2018.03.019 - link to the publication
  4. Generalized RBF kernel for incomplete data
    Authors:
    Marek Śmieja, Łukasz Struski, Jacek Tabor, Mateusz Marzec
    Academic press:
    Knowledge-Based Systems (rok: 2019, tom: 173, strony: 150-162), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.knosys.2019.02.034 - link to the publication
  5. Semi-supervised model-based clustering with controlled clusters leakage
    Authors:
    Marek Śmieja, Łukasz Struski, Jacek Tabor
    Academic press:
    Expert Systems with Applications (rok: 2017, tom: 26, strony: 146-157), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2017.05.032 - link to the publication
  6. Pointed subspace approach to incomplete data
    Authors:
    Łukasz Struski, Marek Śmieja, Jacek Tabor
    Academic press:
    Journal of Classification (rok: 2019, tom: -, strony: 45307), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s00357-019-9304-3 - link to the publication
  7. Processing of missing data by neural networks
    Authors:
    Marek Śmieja, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, Przemysław Spurek
    Academic press:
    Advances in Neural Information Processing Systems (NeurIPS) (rok: 2018, tom: 31, strony: 2724-2734), Wydawca: Curran Associates, Inc.
    Status:
    Published
    DOI:
    brak - link to the publication
  1. Persistence bag-of-words for topological data analysis
    Authors:
    Bartosz Zieliński, Michał Lipiński, Mateusz Juda, Matthias Zeppelzauer, Paweł Dłotko
    Conference:
    International JointConference on Artificial Intelligence (rok: 2019, ), Wydawca: International JointConference on Artificial Intelligence
    Data:
    konferencja 2019
    Status:
    Published
  2. Distribution-interpolation trade off in generative models
    Authors:
    Damian Leśniak, Igor Sieradzki, Igor Podolak
    Conference:
    International Conference on Learning Representations (rok: 2019, ), Wydawca: International Conference on Learning Representations
    Data:
    konferencja 2019
    Status:
    Published

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