Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

Delete all

Development of algorithms for all relevant feature selevtion using machine learning methods

2013/09/B/ST6/01550

Keywords:

feature selection machine learning 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
  • ST6_6: Algorithms, parallel, distributed and network algorithms, algorithmic game theory

Panel:

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

Host institution :

Uniwersytet Warszawski, Interdyscyplinarne Centrum Modelowania Matematycznego i Komputerowego

woj. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Witold Rudnicki 

Number of co-investigators in the project: 8

Call: OPUS 5 - announced on 2013-03-15

Amount awarded: 501 860 PLN

Project start date (Y-m-d): 2014-02-17

Project end date (Y-m-d): 2016-10-16

Project duration:: 32 months (the same as in the proposal)

Project status: Project settled

Equipment purchased [PL]

  1. Wysokiej klasy karta graficzna zgodna z technologią CUDA (7 000 PLN)
  2. Karta akceleratora obliczeniowego Intel Xeon Phi (24 000 PLN)
  3. Mobilna stacja robocza dla Kierownika Projektu, zgodna z systemem MacOS X (1 487 PLN)

Information in the final report

  • Publication in academic press/journals (4)
  1. MDFS: MultiDimensional Feature Selection in R
    Authors:
    Radosław Piliszek, Krzysztof Mnich, Szymon Migacz, Paweł Tabaszewski, Andrzej Sułecki, Aneta Polewko-Klim, Witold Rudnicki
    Academic press:
    R Journal (rok: 2019, tom: 0,459027777777778, strony: 198-210), Wydawca: R FOUNDATION STATISTICAL COMPUTING
    Status:
    Published
    DOI:
    10.32614/RJ-2019-019 - link to the publication
  2. Statistics of All-Relevant Feature Selection with Contrast Variables using Boruta Approach
    Authors:
    Mariusz Wrzesień, Wiesław Paja, Rafał Niemiec, Witold R. Rudnicki
    Academic press:
    Fundamenta Informaticae , Wydawca: IOS Press
    Status:
    Submitted
    DOI:
    brak - link to the publication
  3. All-relevant feature selection using multidimensional filters with exhaustive search
    Authors:
    Krzysztof Mnich, Witold R. Rudnicki
    Academic press:
    Information Sciences (rok: 2020, tom: 524, strony: 277-297), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ins.2020.03.024 - link to the publication
  4. Sensitivity analysis based on the Random Forest machine learning algorithm identifies candidate genes for regulation of innate and adaptive immune response of chicken
    Authors:
    AnetaPolewko-Klim, Wojciech Lesiński, Agnieszka Golińska, Krzysztof Mnich, Maria Siwek and Witold R Rudnicki
    Academic press:
    Poultry Science , Wydawca: Elsevier, Inc
    Status:
    Submitted
    DOI:
    brak - link to the publication

O Narodowym Centrum Nauki

Finansowanie nauki

Współpraca zagraniczna

Centrum prasowe

Deklaracja dostępności
Przetwarzanie danych osobowych
Polityka cookies

Partnerzy