© 2019

Artificial Intelligence XXXVI

39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings

  • Max Bramer
  • Miltos Petridis
Conference proceedings SGAI 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11927)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11927)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Technical Paper

  3. Machine Learning, Knowledge Discovery and Data Mining

    1. Front Matter
      Pages 19-19
    2. David Morán-Pomés, Lluís A. Belanche-Muñoz
      Pages 21-35
    3. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
      Pages 36-49
    4. Sergey Ovchinnik, Fernando E. B. Otero, Alex A. Freitas
      Pages 63-77
    5. Perusha Moodley, Benjamin Rosman, Xia Hong
      Pages 78-90
  4. Agents, Knowledge Acquisition and Ontologies

    1. Front Matter
      Pages 91-91
    2. Yanko Kirchev, Katie Atkinson, Trevor Bench-Capon
      Pages 93-106
    3. Ryan Colin Gibson, Matt-Mouley Bouamrane, Mark D. Dunlop
      Pages 107-121
    4. Omar Zammit, Serengul Smith, Clifford De Raffaele, Miltos Petridis
      Pages 122-135
  5. Short Technical Papers

    1. Front Matter
      Pages 137-137
    2. Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin
      Pages 146-151
    3. Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Denge, Miltos Petridis
      Pages 152-157
    4. Muhammad Shahroz Nadeem, Virginia N. L. Franqueira, Fatih Kurugollu, Xiaojun Zhai
      Pages 158-164
  6. Application Paper

    1. Front Matter
      Pages 165-165
    2. Himadri Sikhar Khargharia, Siddhartha Shakya, Russell Ainslie, Gilbert Owusu
      Pages 167-179

About these proceedings


This book constitutes the proceedings of the 39th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2019, held in Cambridge, UK, in December 2019.

The 29 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 49 submissions. The volume includes technical papers presenting new and innovative developments in the field  as well as application papers  presenting innovative applications of AI techniques in a number of subject domains. The papers are organized in the following topical sections: machine learning; knowledge discovery and data mining; agents, knowledge acquisition and ontologies; medical applications; applications of evolutionary algorithms; machine learning for time series data; applications of machine learning; and knowledge acquisition.


artificial intelligence classification computer networks data mining evolutionary algorithms genetic algorithms Human-Computer Interaction (HCI) image processing information retrieval learning algorithms machine learning mobile computing neural networks pattern recognition semantics signal processing Support Vector Machines (SVM) wireless networks wireless telecommunication systems World Wide Web

Editors and affiliations

  • Max Bramer
    • 1
  • Miltos Petridis
    • 2
  1. 1.University of PortsmouthPortsmouthUK
  2. 2.Middlesex UniversityLondonUK

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