Skip to content
PL wersja polska

National Information Processing Institute – National Research Institute

    • kobieta patrząca przez mikroskopShow submenu Science and research
      • Research areas
      • Science for everyone
        • Open access
        • Conferences
        • Publications
        • Publishing House
      • Doctoral school
    • monitor komputerowy z wykresamiShow submenu Software
      • Systems for science and higher education
      • Grant systems
      • Other systems
      • Security in systems
    • humanoid wskazujący na coś palcemShow submenu Artificial intelligence
      • AI Lab
      • Innovation Centre for Digital Medicine
    • gwiazdki z flagi unii europejskiejShow submenu EU funds for science
      • FENG
      • KPO
      • POIR
    • wykres słupkowy wznoszącyShow submenu Reports and analyses
      • Business intelligence
      • Sociology of science
      • Scientometrics
    • człowiek i humanoid stykający się palcemHuman–computer interaction
    • mężczyzna przed wielkim monitoremE-learning
  • Systems
  • Our projects

    • Get to Know Us

      We build computer systems and create software for the science and higher education sector.

    • sygnet loga OPIAbout us
    • ANews
    • znak kobiety i męczyznyThe OPI PIB equality plan
    • otwarte pudełko z blaskiem bijącym ze środkaAccessibility
    • International Cooperation

    • Careers

      Working at our institute, you can develop your professional skills and passion for science by taking part in thematic conferences, training programmers and workshops, as well studying at a postgraduate level.

    • dwie dłonie w uściskuWork at OPI PIB
    • ITKomITywa internship program
    • PraktykON

    • Contact

      National Information Processing Institute

    • znacznik lokalizacjiLocation and how to find us
    • dłoń zbliżająca sie do lewitującej kuliPromotional materials
    • kopertaNewsletter
National Information Processing Institute - National Research InstitutePublicationsEmpirical evaluation of feature projection algorithms for multi-view text classification

Empirical evaluation of feature projection algorithms for multi-view text classification

Marcin Mirończuk, Jarosław Protasiewicz, Witold Pedrycz

2019 Expert Systems with Applications, T. 130, 15 September 2019, s. 97-112

Empirical evaluation of feature projection algorithms for multi-view text classificationhttps://www.sciencedirect.com/science/article/pii/S0957417419302507?via%3Dihub

Share on:
(opens in a new window)(opens in a new window)(opens in a new window)

@ Join our Newsletter!

Sign up!
  • facebook
  • linkedin
  • twitter
  • youtube
  • instagram
  • bip
  • github.com
  • Portal Fundusze Europejskie
  • Portal gov.pl
  • Strona Ministerstwa Nauki i Szkolnictwa Wyższego
  • Portal Unii Europejskiej

© 2026 National Information Processing Institute

  • Privacy policy
  • Personal data
  • Declaration of Website Accessibility
We use cookies and similar technologies to provide services and to gather information for statistical and other purposes. You can change the way you want the cookies to be stored or accessed on your device in the settings of your browser. If you do not agree, change the settings of your browser. For more information, refer to our Privacy Policy.Close cookie information