Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Additional information in data clustering and related areas

2016/21/D/ST6/00980

Keywords:

machine learning semi-supervised learning clustering classification

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems

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: SONATA 11 - announced on 2016-03-15

Amount awarded: 246 350 PLN

Project start date (Y-m-d): 2017-01-26

Project end date (Y-m-d): 2020-09-25

Project duration:: 44 months (the same as in the proposal)

Project status: Project settled

Project description

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

Information in the final report

  • Publication in academic press/journals (8)
  • Articles in post-conference publications (1)
  1. A classification-based approach to semi-supervised clustering with pairwise constraints
    Authors:
    Marek Śmieja, Łukasz Struski, Mario A. T. Figueiredo
    Academic press:
    Neural Networks (rok: 2020, tom: 127, strony: 193-203), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.neunet.2020.04.017 - link to the publication
  2. 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
  3. Semi-supervised cross-entropy clustering with information bottleneck constraint
    Authors:
    Marek Śmieja, Bernhard C. Geiger
    Academic press:
    Information Sciences (rok: 2017, tom: 421, strony: 254-271), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ins.2017.07.016 - link to the publication
  4. 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
  5. Semi-supervised model-based clustering with controlled clusters leakage
    Authors:
    Marek Śmieja
    Academic press:
    Expert Systems With Applications (rok: 2017, tom: 85, strony: 146-157), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2017.05.032 - link to the publication
  6. SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder
    Authors:
    Marek Śmieja, Maciej Wołczyk, Jacek Tabor, Bernhard C. Geiger
    Academic press:
    IEEE Transactions on Neural Networks and Learning Systems (rok: 2020, ), Wydawca: IEEE Computational Intelligence Society
    Status:
    Accepted for publication
    DOI:
    10.1109/TNNLS.2020.3016221 - link to the publication
  7. Efficient mixture model for clustering of sparse high dimensional binary data
    Authors:
    Marek Śmieja, Krzysztof Hajto, Jacek Tabor
    Academic press:
    Data Mining and Knowledge Discovery (rok: 2019, tom: 33/6, strony: 1583--1624), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s10618-019-00635-1 - link to the publication
  8. SVM with a neutral class
    Authors:
    Marek Śmieja, Jacek Tabor, Przemyslaw 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
  1. Processing of missing data by neural networks
    Authors:
    Marek Śmieja, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, Przemysław Spurek
    Conference:
    Neural Information Processing Systems (NIPS 2018) (rok: 2018, ), Wydawca: Neural Information Processing Systems Foundation
    Data:
    konferencja 2-8 grudnia 2018
    Status:
    Published
    DOI:
    link to the publication

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