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Computational Formalism: Art History and Machine Learning
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  • Title: Computational Formalism: Art History and Machine Learning
  • Author(s) Amanda Wasielewski
  • Publisher: The MIT Press (May 23, 2023); eBook (Creative Commons Licensed)
  • License(s): CC BY-NC-ND 2.0
  • Hardcover/Paperback: 200 pages
  • eBook: PDF (201 pages) and PDF Files
  • Language: English
  • ISBN-10: 0262545640
  • ISBN-13: 978-0262545648
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Book Description

How the use of machine learning to analyze art images has revived formalism in art history, presenting a golden opportunity for art historians and computer scientists to learn from one another.

The main purpose in applying computational techniques such as machine learning to art datasets is to automate the process of categorization using metrics such as style, a historically fraught concept in art history.

About the Authors
  • Amanda Wasielewski is Assistant Professor in Digital Humanities at Uppsala University. She is the author of Made in Brooklyn: Artists, Hipsters, Makers, Gentrifiers and From City Space to Cyberspace: Art, Squatting, and Internet Culture in the Netherlands.
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