View in EDS HTML Full Text PDF Full Text

Forensic Facial Reconstruction in the Age of Deep Learning: Accuracy, Bias, and Future Perspectives.

Saved in:
Bibliographic Details
Title: Forensic Facial Reconstruction in the Age of Deep Learning: Accuracy, Bias, and Future Perspectives.
Authors: Bąk, Bartłomiej1, Bąk, Dawid1,2, Osińska, Aleksandra1,3, Bednarz, Michał1,4, Banaszek, Jakub1, Baj, Jacek2, Forma, Alicja3, alicja.forma@umlub.edu.pl, Zembala, Patryk4, Teresiński, Grzegorz3
Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p5814, 23p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194910022
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Forensic Facial Reconstruction in the Age of Deep Learning: Accuracy, Bias, and Future Perspectives.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Bąk%2C+Bartłomiej%22">Bąk, Bartłomiej</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Bąk%2C+Dawid%22">Bąk, Dawid</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Osińska%2C+Aleksandra%22">Osińska, Aleksandra</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Bednarz%2C+Michał%22">Bednarz, Michał</searchLink><relatesTo>1,4</relatesTo><br /><searchLink fieldCode="AU" term="%22Banaszek%2C+Jakub%22">Banaszek, Jakub</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Baj%2C+Jacek%22">Baj, Jacek</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Forma%2C+Alicja%22">Forma, Alicja</searchLink><relatesTo>3</relatesTo>, <i>alicja.forma@umlub.edu.pl</i><br /><searchLink fieldCode="AU" term="%22Zembala%2C+Patryk%22">Zembala, Patryk</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Teresiński%2C+Grzegorz%22">Teresiński, Grzegorz</searchLink><relatesTo>3</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Jun2026, Vol. 16 Issue 12, p5814, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194910022
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/app16125814
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
        StartPage: 5814
    Titles:
      – TitleFull: Forensic Facial Reconstruction in the Age of Deep Learning: Accuracy, Bias, and Future Perspectives.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Bąk, Bartłomiej
      – PersonEntity:
          Name:
            NameFull: Bąk, Dawid
      – PersonEntity:
          Name:
            NameFull: Osińska, Aleksandra
      – PersonEntity:
          Name:
            NameFull: Bednarz, Michał
      – PersonEntity:
          Name:
            NameFull: Banaszek, Jakub
      – PersonEntity:
          Name:
            NameFull: Baj, Jacek
      – PersonEntity:
          Name:
            NameFull: Forma, Alicja
      – PersonEntity:
          Name:
            NameFull: Zembala, Patryk
      – PersonEntity:
          Name:
            NameFull: Teresiński, Grzegorz
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20763417
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Applied Sciences (2076-3417)
              Type: main
ResultId 1