Minimal Memory Clustering Paradigm

2014/13/B/ST6/01792

Keywords

Descriptors

  • ST6_11: Uczenie maszynowe, statystyczne przetwarzanie danych i zastosowanie w przetwarzaniu sygnałów

Panel

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

Host institution

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

Voivodeship: małopolskie

Other projects carried out by the institution »

Principal investigator (from the host institution)

dr hab. Jacek Tabor

Number of co-investigators in the project: 7

Call

OPUS 7 – announced on 2014-03-17

Amount awarded
487 200 PLN
Project start date
2015-01-27
Project end date
2017-08-26
Project duration
31 months (the same as in the proposal)
Project status
Project settled

Equipment purchased [PL]

  1. Karta graficzna. Cost: 5 543 PLN
  2. Komputer do wysokowydajnych obliczeń naukowych. Cost: 40 000 PLN

Information in the final report

Publication in academic press/journals (12)

  1. Creating the New from the Old – Combinatorial Libraries Generation with Machine Learning-Based Compound Structure Optimization

    Authors:
    Sabina Podlewska, Wojciech M. Czarnecki, Rafał Kafel, Andrzej J. Bojarski
    Academic press:
    Journal of Chemical Information and Modeling (year: 2017, volume: 57/2, pages: 133-147), Publisher: ACS Publications
    Status:
    Published
    DOI:
    10.1021/acs.jcim.6b00426 – link to the publication
  2. Constrained clustering with a complex cluster structure

    Authors:
    Marek Śmieja, Magdalena Wiercioch
    Academic press:
    Advances in Data Analysis and Classification (year: 2016, volume: on-line first, pages: 46048), Publisher: Springer
    Status:
    Published
    DOI:
    10.1007/s11634-016-0254-x – link to the publication
  3. Robust optimization of SVM hyperparameters in the classification of bioactive compounds

    Authors:
    Wojciech M Czarnecki, Sabina Podlewska, Andrzej J Bojarski
    Academic press:
    J Cheminform (2015) 7:38 (year: 2015, volume: 0,318055555555556, pages: 15), Publisher: Springer
    Status:
    Published
    DOI:
    10.1186/s13321-015-0088-0 – link to the publication
  4. Quo vadis G protein-coupled receptor ligands? A tool for analysis of the emergence of new groups of compounds over time

    Authors:
    Damian Leśniak, Stanisław Jastrzębski, Sabina Podlewska, Wojciech M. Czarnecki, Andrzej J. Bojarski
    Academic press:
    Bioorganic and Medicinal Chemistry Letters (year: 2017, volume: 27/3, pages: 626-631), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.bmcl.2016.12.001 – link to the publication
  5. Multithreshold Entropy Linear Classifier: Theory and applications

    Authors:
    Wojciech M Czarnecki, Jacek Tabor
    Academic press:
    Expert Systems with Applications (year: 2015, volume: 42, pages: 5591–5606), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2015.03.007 – link to the publication
  6. Extremely Randomized Machine Learning Methods for Compound Activity Prediction

    Authors:
    Wojciech M Czarnecki, Sabina Podlewska, Andrzej J Bojarski
    Academic press:
    Molecules (year: 2015, volume: 20(11), pages: 20107-20117), Publisher: MDPI AG, Basel, Switzerland
    Status:
    Published
    DOI:
    10.3390/molecules201119679 – link to the publication
  7. Entropy approximation in lossy source coding problem

    Authors:
    Marek Śmieja, Jacek Tabor
    Academic press:
    Entropy (year: 2015, volume: 17/5, pages: 3400-3418), Publisher: MDPI AG, Basel, Switzerland
    Status:
    Published
    DOI:
    10.3390/e17053400 – link to the publication
  8. Cross-Entropy Based Image Thresholding

    Authors:
    Mateusz Malik, Przemysław Spurek, Jacek Tabor
    Academic press:
    Schedae Informaticae (year: 2015, volume: 24, pages: 21-29), Publisher: Uniwersytet Jagielloński
    Status:
    Published
    DOI:
    10.4467/20838476SI.15.002.3024 – link to the publication
  9. R Package CEC

    Authors:
    Przemysław Spurek, Konrad Kamieniecki, Jacek Tabor, Krzysztof Misztal, Marek Śmieja
    Academic press:
    Neurocomputing (year: 2017, volume: 237, pages: 410-413), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.neucom.2016.08.118 – link to the publication
  10. Acitive Function Cross Entropy Clustering

    Authors:
    Przemysław Spurek Jacek Tabor, Krzysztof Byrski
    Academic press:
    Expert Systems with Applications (year: 2017, volume: 72, pages: 49-66), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2016.12.011 – link to the publication
  11. Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery

    Authors:
    Wojciech M Czarnecki
    Academic press:
    IEEE Computational Intelligence Magazine (year: 2015, volume: 10(3), pages: 19-29), Publisher: IEEE
    Status:
    Published
    DOI:
    10.1109/MCI.2015.2437312 – link to the publication
  12. ICA based on asymmetry

    Authors:
    Przemysław Spurek, Jacek Tabor, Przemysław Rola, Michał Ociepka
    Academic press:
    Pattern Recognition (year: 2017, volume: 67, pages: 230-244), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.patcog.2017.02.019 – link to the publication

Articles in post-conference publications (6)

  1. Spherical Wards clustering and generalized Voronoi diagrams

    Authors:
    Marek Śmieja, Jacek Tabor
    Conference:
    Proceeding of IEEE International Conference on Data Science and Advanced Analytics (year: 2015, pages: 46032), Publisher: IEEE
    Date:
    conference 19-21 Oct 2015
    Status:
    Published
    DOI:
    link to the publication
  2. Probability Index of Metric Correspondence as a measure of visualization reliability

    Authors:
    Marek Śmieja, Jacek Tabor, Magda Wiercioch
    Conference:
    Proceedings of ECML PKDD Workshop on Machine Learning and Life Science (year: 2015, pages: 12), Publisher: Politechnika Wrocławska, Katedra Systemów i Sieci Komputerowych
    Date:
    conference 11 IX 2015
    Status:
    Published
    DOI:
    link to the publication
  3. Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation

    Authors:
    Wojciech M Czarnecki, Rafał Józefowicz, Jacek Tabor
    Conference:
    ECML-PKDD 2015 (year: 2015, pages: 52-67), Publisher: Lecture Notes in Computer Science
    Date:
    conference 11 IX 2015
    Status:
    Published
    DOI:
    link to the publication
  4. 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) (year: 2016, pages: 2397 - 2404), Publisher: IEEE
    Date:
    conference 24-29 lipiec 2016
    Status:
    Published
  5. Maximum Likelihood Estimation and Optimal Coordinates

    Authors:
    Przemysław Spurek, Jacek Tabor
    Conference:
    International Conference on Systems Science (ICSS 2016) (year: 2016, pages: 46094), Publisher: Springer
    Date:
    conference 7-9 września 2016
    Status:
    Published
    DOI:
    link to the publication
  6. Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation

    Authors:
    Arkadiusz Tomczyk, Przemysław Spurek, Michał Podgórski, Krzysztof Misztal, Jacek Tabor
    Conference:
    9th International Conference on Computer Recognition Systems CORES (year: 2016, pages: 159-169), Publisher: Springer
    Date:
    conference 25-27 Maj, 2015
    Status:
    Published

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Graphic design and implementation: Jakub Piotrowski