Logo Oapen
  • Join
    • Deposit
    • For Librarians
    • For Publishers
    • For Researchers
    • Funders
    • Resources
    • OAPEN
        View Item 
        •   OAPEN Home
        • View Item
        •   OAPEN Home
        • View Item
        JavaScript is disabled for your browser. Some features of this site may not work without it.

        Data Science and Reliable Machine Learning

        Thumbnail
        Download PDF Viewer
        Contributor(s)
        Hajian, Aram (editor)
        Baloian, Nelson (editor)
        Collection
        Knowledge Unlatched (KU); KU Open Services
        Number
        a24d23ee-85d1-4296-96e5-494950ab7807
        Language
        English
        Show full item record
        Abstract
        In October 2024, researchers, students, and practitioners from Armenia, Chile, Germany, and Japan met at the American University of Armenia for the fourth edition of the Cadassca Workshop on Collaborative Technologies and Data Science in Smart City Applications. This book presents their contributions to emerging methodologies in data science, machine learning, applied and human-centered computing.
        URI
        https://library.oapen.org/handle/20.500.12657/97300
        Keywords
        Computers; Computer Science
        DOI
        10.30819/5855
        ISBN
        9783832558550
        Publisher
        Logos Verlag Berlin
        Publisher website
        https://www.logos-verlag.com/
        Publication date and place
        2022
        Grantor
        • Knowledge Unlatched
        Imprint
        Logos Verlag Berlin
        Classification
        Computer science
        Rights
        https://creativecommons.org/licenses/by-nc-sa/4.0/
        • Harvested from KU

        Browse

        All of OAPENSubjectsPublishersLanguagesCollections

        My Account

        LoginRegister

        Export

        Repository metadata
        Logo Oapen
        • For Librarians
        • For Publishers
        • For Researchers
        • Funders
        • Resources
        • OAPEN

        Newsletter

        • Subscribe to our newsletter
        • view our news archive

        Follow us on

        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

        OAPEN is based in the Netherlands, with its registered office in the National Library in The Hague.

        Director: Niels Stern

        Address:
        OAPEN Foundation
        Prins Willem-Alexanderhof 5
        2595 BE The Hague
        Postal address:
        OAPEN Foundation
        P.O. Box 90407
        2509 LK The Hague

        Websites:
        OAPEN Home: www.oapen.org
        OAPEN Library: library.oapen.org
        DOAB: www.doabooks.org

         

         

        Export search results

        The export option will allow you to export the current search results of the entered query to a file. Differen formats are available for download. To export the items, click on the button corresponding with the preferred download format.

        A logged-in user can export up to 15000 items. If you're not logged in, you can export no more than 500 items.

        To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

        After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.