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Artificial Intelligence XXXIV

37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings

  • Max Bramer
  • Miltos Petridis

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10630)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10630)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Technical Stream Papers

  3. Machine Learning and Neural Networks

    1. Front Matter
      Pages 19-19
    2. Fady Medhat, David Chesmore, John Robinson
      Pages 21-33
    3. Vasileios Manousakis Kokorakis, Miltos Petridis, Stelios Kapetanakis
      Pages 47-57
  4. Machine Learning, Speech and Vision and Fuzzy Logic

  5. Short Technical Papers

    1. Front Matter
      Pages 129-129
    2. Isabel Sargent, Jonathon Hare, David Young, Olivia Wilson, Charis Doidge, David Holland et al.
      Pages 131-136
    3. Kazutoshi Hirose, Kota Ando, Kodai Ueyoshi, Masayuki Ikebe, Tetsuya Asai, Masato Motomura et al.
      Pages 137-142
    4. Peter John Hampton, Hui Wang, Zhiwei Lin
      Pages 143-148
    5. Amer Almahdawi, William John Teahan
      Pages 149-155
    6. Ahmad Idris Tambuwal, Daniel Neagu, Marian Gheorghe
      Pages 156-162
    7. Jahn Thomas Fidje, Christian Kråkevik Haraldseid, Ole-Christoffer Granmo, Morten Goodwin, Bernt Viggo Matheussen
      Pages 163-168
    8. Soufiane Boulehouache, Ramdane Maamri, Zaidi Sahnoun
      Pages 169-174
  6. Application Stream Papers

    1. Front Matter
      Pages 175-176
    2. Andrew Ferguson, Simon Thompson
      Pages 177-189
  7. AI for Healthcare

    1. Front Matter
      Pages 191-191
    2. Brian Cleland, Jonathan Wallace, Raymond Bond, Michaela Black, Maurice Mulvenna, Deborah Rankin et al.
      Pages 193-206
    3. John Kingston, Nathaniel Charlton
      Pages 207-216
    4. Mercedes Arguello Casteleiro, Dmitry Tsarkov, Bijan Parsia, Ulrike Sattler
      Pages 217-231
  8. Applications of Machine Learning

    1. Front Matter
      Pages 233-233
    2. Saleh Alyahyan, Wenjia Wang
      Pages 235-249
    3. Dion Bailey, Tom Pajak, Daoud Clarke, Carlos Rodriguez
      Pages 264-277
    4. Paul N. Taylor
      Pages 278-290
  9. Applications of Neural Networks and Fuzzy Logic

    1. Front Matter
      Pages 291-291
    2. Ahmed Mohamed, Aysenur Bilgin, Anne Liret, Gilbert Owusu
      Pages 300-312
  10. Case-Based Reasoning

    1. Front Matter
      Pages 323-323
    2. Adeyinka Adedoyin, Stelios Kapetanakis, Georgios Samakovitis, Miltos Petridis
      Pages 325-337
    3. Tariq Saad Al Murayziq, Stelios Kapetanakis, Miltos Petridis
      Pages 338-351
  11. AI Techniques

    1. Front Matter
      Pages 353-353
    2. Yizi Zhou, Anne Liret, Jiyin Liu, Emmanuel Ferreyra, Rupal Rana, Mathias Kern
      Pages 355-369
  12. Short Application Papers

    1. Front Matter
      Pages 397-397
    2. Vishnu Makkapati, Arun Patro
      Pages 405-410
    3. Russell Ainslie, John McCall, Sid Shakya, Gilbert Owusu
      Pages 411-416
    4. Vidhyalakshmi Karthikeyan, Detlef D. Nauck, Miguel Rio
      Pages 417-422
  13. Back Matter
    Pages 429-430

About these proceedings

Introduction

This book constitutes the proceedings of the 37th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2017, held in Cambridge, UK, in December 2017.

The 25 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 55 submissions. There are technical and application papers which were organized in topical sections named: machine learning and neural networks; machine learning, speech and vision and fuzzy logic; short technical papers; AI for healthcare; applications of machine learning; applications of neural networks and fuzzy logic; case-based reasoning; AI techniques; and short applications papers. 

Keywords

artificial intelligence machine learning signal processing learning algorithms neural networks genetic algorithms knowledge based systems classifiers search algorithms case-based reasoning reinforcement learning vision systems fuzzy logic intelligent systems constraint satisfaction natural language processing rule inductions

Editors and affiliations

  • Max Bramer
    • 1
  • Miltos Petridis
    • 2
  1. 1.University of PortsmouthPortsmouthUnited Kingdom
  2. 2.Middlesex University LondonUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71078-5
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-71077-8
  • Online ISBN 978-3-319-71078-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site