PUMA

Akademisches Publikationsmanagement
Publikationen sammeln, verwalten und teilen.

( en | de )

 

Benutzer
  • Tag
  • Benutzer
  • Gruppe
  • Autor
  • Konzept
  • BibTeX-Schlüssel
  • Suche
@scadsfct
  •  Anmelden
  • Gruppen
  • Personen
  •  Anmelden

Anmelden

Melden Sie sich als Gruppe an.

@

Ich habe mein Passwort vergessen.


Melden Sie sich hier mit Ihrem Bibliotheksdaten an.

Anmelden
  1. Benutzer
  2. @scadsfct
  3. benchmarking yaff

Publication title

Lesezeichen  (verstecken)
  • Anzeige
  • alles
  • nur Lesezeichen
  • Lesezeichen pro Seite
  • 5
  • 10
  • 20
  • 50
  • 100
  • sortieren nach
  • hinzugefügt am
  • Titel
  • RSS
  • BibTeX
  • XML

    Keine Treffer.
  • ⟨⟨
  • ⟨
  • ⟩
  • ⟩⟩

Publikationen  (verstecken)1  
  • display
  • all
  • publications only
  • publications per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • sort by
  • added at
  • title
  • author
  • publication date
  • entry type
  • help for advanced sorting...
  • RSS
  • BibTeX
  • RDF
  • more...

  •  

     
    1Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features
     

    {. Prager, K. Dietrich, L. Schneider, L. Schäpermeier, B. Bischl, P. Kerschke, H. Trautmann, and O. Mersmann. FOGA 2023, page 129--139. United States, Association for Computing Machinery, (30.08.2023)Publisher Copyright: © 2023 ACM.; 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2023, FOGA 2023 ; Conference date: 30-08-2023 Through 01-09-2023.
    11 months ago by @scadsfct
    show all tags
    • Instance_generator
    • Black-box_continuous_optimization
    • Exploratory_landscape_analysis
    • Benchmarking
    • topic_engineering
    • 2024_OA_procedure
    • yaff
    • Neural_networks
     
      Instance_generatorBlack-box_continuous_optimizationExploratory_landscape_analysisBenchmarkingtopic_engineering2024_OA_procedureyaffNeural_networks
      copydeleteadd this publication to your clipboard
      • community post
      • history of this post
      • URL
      • DOI
      • BibTeX
      • EndNote
      • APA
      • Chicago
      • DIN 1505
      • Harvard
      • MSOffice XML
       
       
    • ⟨⟨
    • ⟨
    • 1
    • ⟩
    • ⟩⟩

    browse

    • benchmarking yaff as tag from all users

    related tags

    • + | exploratory_landscape_analysis
    • + | instance_generator
    • + | neural_networks
    • + | topic_engineering
    • + | 2024_oa_procedure
    • + | black-box_continuous_optimization

    concepts

    tags

    • zno
    • imported
    • yaff
    • xack
    • nopdf
    • topic_lifescience
    • FIS_scads
    • area_responsibleai
    • topic_language
    • topic_knowledge
    • learning
    • topic_mathfoundation
    • topic_engineering
    • topic_visualcomputing
    • area_bigdata
    • data
    • networks
    • analysis
    • topic_software
    • machine
    • topic_earthenvironment
    • topic_neuroinspired
    • deep
    • topic_graph
    • neural
    • artificial
    • graphs
    • intelligence
    • topic_federatedlearn
    • AI
    • topic_physchemistry
    • prediction
    • cancer
    • unit_transfer
    • ep
    • modeling
    • web
    • model
    • Rosetta
    • gene
    • and
    • association
    • image
    • information
    • classification
    • automated
    • area_architectures
    • protein
    • imaging
    What is PUMA?
    Getting Started
    Browser Buttons
    Help
    Developer
    Overview
    API Documentation
    Contact & Privacy
    Contact
    Privacy & Terms of Use
    Cookies
    Report Issues
    PUMA Wiki
    Integration
    PUMA
    TYPO3 Extension
    WordPress Plugin
    Java REST Client
    Supported Sites
    more
    About PUMA
    Team
    Blog
    Mailing List
    Social Media

    PUMA is offered by the Universitätsbibliothek of the University of Kassel, Germany and is being developed in cooperation with the Knowledge and Data Engineering Group in Kassel and the DMIR Group in Würzburg.