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Nordic Artificial Intelligence Research and Development

Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27–28, 2019, Proceedings

  • Kerstin Bach
  • Massimiliano Ruocco
Conference proceedings NAIS 2019

Part of the Communications in Computer and Information Science book series (CCIS, volume 1056)

Table of contents

  1. Front Matter
    Pages i-x
  2. Full Papers

    1. Front Matter
      Pages 1-1
    2. Joachim Berg, Nils Gustav Andreas Berggren, Sivert Allergodt Borgeteien, Christian Ruben Alexander Jahren, Arqam Sajid, Stefano Nichele
      Pages 3-15
    3. Flávia Dias Casagrande, Evi Zouganeli
      Pages 16-27
    4. Kai Olav Ellefsen, Jim Torresen
      Pages 28-39
    5. Hege Haavaldsen, Max Aasbø, Frank Lindseth
      Pages 40-51
    6. Moa Johansson, Marie Korneliusson, Nickey Lizbat Lawrence
      Pages 52-57
    7. Tønnes F. Nygaard, Jørgen Nordmoen, Kai Olav Ellefsen, Charles P. Martin, Jim Tørresen, Kyrre Glette
      Pages 58-68
    8. Filippo Remonato, Ole M. Løvvik, Espen Flage-Larsen
      Pages 69-77
    9. Signe Riemer-Sørensen, Jie Wu, Halvor Lie, Svein Sævik, Sang-Woo Kim
      Pages 78-89
    10. Francesco Scibilia, Knut Sebastian Tungland, Anders Røyrøy, Marianne Bryhni Asla
      Pages 90-101
    11. Åsmund Brekke, Fredrik Vatsendvik, Frank Lindseth
      Pages 102-113
  3. Short Papers

    1. Front Matter
      Pages 125-125
    2. Johan Phan, Massimiliano Ruocco, Francesco Scibilia
      Pages 127-132
    3. Anders Braarud Hanssen, Stefano Nichele
      Pages 133-142
    4. Deepika Verma, Kerstin Bach, Paul Jarle Mork
      Pages 143-148
  4. Back Matter
    Pages 149-149

About these proceedings

Introduction

This book constitutes the refereed proceedings of the Third Symposium of the Norwegian AI Society, NAIS 2019, held in Trondheim, Norway, in May, 2019. The 11 full papers and 3 short papers were carefully reviewed and selected from 21 submissions. The papers focus on all aspects of: artificial intelligence; machine learning; knowledge representation;  robotics; planning and scheduling; natural language processing; computer vision; search algorithms; multi-agent-systems; industrial applications; and philosophical and ethical foundations.

Keywords

artificial intelligence computer systems computer vision education engineering image analysis image processing learning machine learning mathematics

Editors and affiliations

  1. 1.Department of Computer ScienceNorwegian University of Science and TechnologyTrondheimNorway
  2. 2.Department of Computer ScienceNorwegian University of Science and TechnologyTrondheimNorway

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-35664-4
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-35663-7
  • Online ISBN 978-3-030-35664-4
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • Buy this book on publisher's site