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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Deep evolvable support vector machine architectures

2017/25/B/ST6/00474

Keywords:

machine learning computer vision evolutionary algorithms pattern recognition support vector machines deep convolutional neural networks

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_8: Computer graphics, image processing, computer vision, multimedia, computer games

Panel:

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

Host institution :

Politechnika Śląska, Wydział Automatyki, Elektroniki i Informatyki

woj. śląskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Michał Kawulok 

Number of co-investigators in the project: 4

Call: OPUS 13 - announced on 2017-03-15

Amount awarded: 790 180 PLN

Project start date (Y-m-d): 2018-01-26

Project end date (Y-m-d): 2023-01-25

Project duration:: 60 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. Wysokowydajna stacja robocza z dwoma monitorami (19 500 PLN)
  2. Komputer przenośny (6 000 PLN)

Information in the final report

  • Publication in academic press/journals (4)
  • Articles in post-conference publications (16)
  • Book publications / chapters in book publications (1)
  1. Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks
    Authors:
    Pablo Ribalta Lorenzo, Jakub Nalepa, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Grzegorz Mrukwa, Michal Kawulok, Pawel Ulrych, Michael P. Hayball
    Academic press:
    Computer Methods and Programs in Biomedicine (rok: 2019, tom: 176, strony: 135-148), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.cmpb.2019.05.006 - link to the publication
  2. Evolving data-adaptive support vector machines
    Authors:
    Wojciech Dudzik, Jakub Nalepa, Michał Kawulok
    Academic press:
    Knowledge-Based Systems (rok: 2021, tom: 227, strony: 107221), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.knosys.2021.107221 - link to the publication
  3. Dynamics of facial actions for assessing smile genuineness
    Authors:
    Michal Kawulok, Jakub Nalepa, Jolanta Kawulok, Bogdan Smolka
    Academic press:
    PLOS ONE (rok: 2021, tom: 16, strony: 45316), Wydawca: Public Library of Science
    Status:
    Published
    DOI:
    10.1371/journal.pone.0244647 - link to the publication
  4. Ensembles of evolutionarily-constructed support vector machine cascades
    Authors:
    Wojciech Dudzik, Jakub Nalepa, Michał Kawulok
    Academic press:
    Knowledge-Based Systems , Wydawca: Elsevier
    Status:
    Submitted
    DOI:
    brak - link to the publication
  1. Evolutionarily-tuned support vector machines
    Authors:
    Wojciech Dudzik, Michal Kawulok, Jakub Nalepa
    Conference:
    Genetic and Evolutionary Computation Conference (GECCO) (rok: 2019, ), Wydawca: ACM
    Data:
    konferencja 43659
    Status:
    Published
  2. Genetically-trained deep neural networks
    Authors:
    Krzysztof Pawelczyk, Michal Kawulok, Jakub Nalepa
    Conference:
    Genetic and Evolutionary Computation Conference (GECCO) (rok: 2018, ), Wydawca: ACM
    Data:
    konferencja 43296
    Status:
    Published
  3. Lightweight U-Nets for Brain Tumor Segmentation
    Authors:
    Tomasz Tarasiewicz, Michal Kawulok, Jakub Nalepa
    Conference:
    International MICCAI Brainlesion Workshop, LNCS 12659 (rok: 2020, ), Wydawca: Springer
    Data:
    konferencja 4 października 2020
    Status:
    Published
  4. Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines
    Authors:
    Jakub Nalepa, Wojciech Dudzik, Michał Kawulok
    Conference:
    International Conference on Pattern Recognition (ICPR) (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 10-15 stycznia 2021
    Status:
    Published
  5. EVOLVING DEEP ENSEMBLES FOR DETECTING COVID-19 IN CHEST X-RAYS
    Authors:
    Piotr Bosowski, Joanna Bosowska, Jakub Nalepa
    Conference:
    IEEE ICIP (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 19-22 września 2021
    Status:
    Published
  6. Evolutionary algorithms meet classical and deep machine learning for skin detection in color images
    Authors:
    Jakub Nalepa, Stanisław Czembor, Wojciech Dudzik, Michał Kawulok
    Conference:
    Genetic and Evolutionary Computation Conference (GECCO) (rok: 2022, ), Wydawca: ACM
    Data:
    konferencja 9-13 lipca
    Status:
    Published
  7. Evolvable Deep Features
    Authors:
    Jakub Nalepa, Grzegorz Mrukwa, Michal Kawulok
    Conference:
    EvoApplications 2018 (rok: 2018, ), Wydawca: Springer International Publishing
    Data:
    konferencja 4-6 kwietnia 2018
    Status:
    Published
  8. On Evolutionary Classification Ensembles
    Authors:
    Aleksandra Kardas, Michal Kawulok, Jakub Nalepa
    Conference:
    IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (rok: 2019, ), Wydawca: IEEE
    Data:
    konferencja 10-13 czerwca 2019
    Status:
    Published
  9. Automated Optimization of Non-Linear Support Vector Machines for Binary Classification
    Authors:
    Wojciech Dudzik, Jakub Nalepa, Michal Kawulok
    Conference:
    International Conference on Intelligent Networking and Collaborative Systems 2018 (rok: 2018, ), Wydawca: Springer Nature Switzerland
    Data:
    konferencja 5-7 września 2018
    Status:
    Published
  10. Memetic Evolution of Classication Ensembles
    Authors:
    Szymon Piechaczek, Michal Kawulok, Jakub Nalepa
    Conference:
    EvoApplications 2019 (rok: 2019, ), Wydawca: Springer
    Data:
    konferencja 24-26 kwietnia 2019
    Status:
    Published
  11. A genetic algorithm for classifying metagenomic data
    Authors:
    Jolanta Kawulok, Michał Kawulok
    Conference:
    Genetic and Evolutionary Computation Conference (GECCO) (rok: 2022, ), Wydawca: ACM
    Data:
    konferencja 9-13 lipca
    Status:
    Published
  12. Cascades of evolutionary support vector machines
    Authors:
    Wojciech Dudzik, Jakub Nalepa, Michał Kawulok
    Conference:
    Genetic and Evolutionary Computation Conference (GECCO) (rok: 2022, ), Wydawca: ACM
    Data:
    konferencja 9-13 lipca
    Status:
    Published
  13. Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images
    Authors:
    Jakub Nalepa, Piotr Bosowski, Wojciech Dudzik, Michał Kawulok
    Conference:
    Asian Conference on Intelligent Information and Database Systems (ACIIDS) (rok: 2022, ), Wydawca: Springer
    Data:
    konferencja 28-30 listopada
    Status:
    Published
  14. Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks
    Authors:
    Jakub Nalepa, Michal Myller, Szymon Piechaczek, Krzysztof Hrynczenko, Michal Kawulok
    Conference:
    BDAS 2018 (rok: 2018, ), Wydawca: Springer Nature Switzerland
    Data:
    konferencja 17-21 września 2018
    Status:
    Published
  15. Optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm
    Authors:
    Wojciech Dudzik, Michal Kawulok, Jakub Nalepa
    Conference:
    International Conference on Man–Machine Interactions (ICMMI) (rok: 2019, ), Wydawca: Springer
    Data:
    konferencja 43740
    Status:
    Published
  16. Skinny: A Lightweight U-Net For Skin Detection And Segmentation
    Authors:
    Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok
    Conference:
    2020 IEEE International Conference on Image Processing (ICIP) (rok: 2020, ), Wydawca: IEEE
    Data:
    konferencja 25-28 października 2020
    Status:
    Published
  1. Data-driven optimization of support vector machines
    Authors:
    Jakub Nalepa, Wojciech Dudzik, Michał Kawulok
    Book:
    Artificial intelligence and data processing. The monograph presenting the achievements of the Silesian University of Technology research staff, P. Kasprowski, Eds. (rok: 2022, tom: 1, strony: 213-220), Wydawca: Politechnika Śląska
    Status:
    Published

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