1 Ocak 2020 Dergi makalesi Açık Erişim

Ozbayoglu, Ahmet Murat; Gudelek, Mehmet Ugur; Sezer, Omer Berat

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/11435</identifier>
  <creators>
    <creator>
      <creatorName>Ozbayoglu, Ahmet Murat</creatorName>
      <givenName>Ahmet Murat</givenName>
      <familyName>Ozbayoglu</familyName>
      <affiliation>TOBB Univ Econ &amp; Technol, Dept Comp Engn, Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Gudelek, Mehmet Ugur</creatorName>
      <givenName>Mehmet Ugur</givenName>
      <familyName>Gudelek</familyName>
      <affiliation>TOBB Univ Econ &amp; Technol, Dept Comp Engn, Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Sezer, Omer Berat</creatorName>
      <givenName>Omer Berat</givenName>
      <familyName>Sezer</familyName>
      <affiliation>TOBB Univ Econ &amp; Technol, Dept Comp Engn, Ankara, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Deep Learning For Financial Applications : A Survey</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/11435</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.asoc.2020.106384</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">Computational intelligence in finance has been a very popular topic for both academia and financial industry in the last few decades. Numerous studies have been published resulting in various models. Meanwhile, within the Machine Learning (ML) field, Deep Learning (DL) started getting a lot of attention recently, mostly due to its outperformance over the classical models. Lots of different implementations of DL exist today, and the broad interest is continuing. Finance is one particular area where DL models started getting traction, however, the playfield is wide open, a lot of research opportunities still exist. In this paper, we tried to provide a state-of-the-art snapshot of the developed DL models for financial applications. We not only categorized the works according to their intended subfield in finance but also analyzed them based on their DL models. In addition, we also aimed at identifying possible future implementations and highlighted the pathway for the ongoing research within the field. (C) 2020 Elsevier B.V. All rights reserved.</description>
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