rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Artificial Intelligence in Medicine
    sub title: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26-29, 2019, Proceedings
  name:
    name part: Riaño, David.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Wilk, Szymon.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: ten Teije, Annette.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XVIII, 429 pages 136 illustrations, 98 illustrations in color)
  abstract: This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.
  table of contents: Deep Learning -- Simulation -- Knowledge Representation -- Probabilistic Models -- Behaviour Monitoring -- Clustering, Natural Language Processing, and Decision Support -- Feature Selection -- Image Processing -- General Machine Learning -- Unsupervised Learning.
  note: edited by David Riaño, Szymon Wilk, Annette ten Teije.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer networks
  subject:
    topic: Computer engineering
  subject:
    topic: Image processing-Digital techniques
  subject:
    topic: Computer vision
  subject:
    topic: Application software
  subject:
    topic: Computer science-Mathematics
  subject:
    topic: Mathematical statistics
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Computer Engineering and Networks
  subject:
    topic: Computer Imaging, Vision, Pattern Recognition and Graphics
  subject:
    topic: Computer and Information Systems Applications
  subject:
    topic: Probability and Statistics in Computer Science
  classification: Q334-342
  classification: TA347.A78
  classification: 006.3
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Lecture Notes in Artificial Intelligence ; 11526
  identifier: 9783030216429
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 190604
    record change date: 20230330184853.9
    record identifier: in00004557034