© 2020

Advances in Artificial Intelligence

33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings

  • Cyril Goutte
  • Xiaodan Zhu
Conference proceedings Canadian AI 2020

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12109)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 12109)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba
    Pages 1-14
  3. Rishav Raj Agarwal, Robin Cohen, Lukasz Golab, Alan Tsang
    Pages 15-28
  4. Valery Anisimovskiy, Andrey Shcherbinin, Sergey Turko, Ilya Kurilin
    Pages 36-48
  5. Nabil Belacel, Cheng Duan, Diana Inkpen
    Pages 49-54
  6. Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
    Pages 55-66
  7. Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley
    Pages 67-78
  8. Andriy Drozdyuk, Scott Buffett, Michael W. Fleming
    Pages 79-91
  9. Jeff Bulmer, Matthew Fritter, Yong Gao, Bowen Hui
    Pages 92-104
  10. Margarita P. Castro, Meinolf Sellmann, Zhaoyuan Yang, Nurali Virani
    Pages 105-117
  11. Chudamani Aryal, Yllias Chali
    Pages 118-124
  12. Jeremy Charlier, Vladimir Makarenkov
    Pages 125-137
  13. Robin Cohen, Rishav Raj Agarwal, Dhruv Kumar, Alexandre Parmentier, Tsz Him Leung
    Pages 138-150
  14. Shainen M. Davidson, Kenton White
    Pages 151-162
  15. Nicholas J. Denis, Danny French, Sebastien Gilbert, Nathalie Japkowicz
    Pages 170-176
  16. Meryll Dindin, Yuhei Umeda, Frederic Chazal
    Pages 177-188
  17. Dennis J. Drown, Roger Villemaire, Serge Robert
    Pages 189-200
  18. Karim El Mokhtari, Mucahit Cevik, Ayşe Başar
    Pages 201-207

About these proceedings


This book constitutes the refereed proceedings of the 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, which was planned to take place in Ottawa, ON, Canada. Due to the COVID-19 pandemic, however, it was held virtually during May 13–15, 2020.

The 31 regular papers and 24 short papers presented together with 4 Graduate Student Symposium papers were carefully reviewed and selected from a total of 175 submissions. The selected papers cover a wide range of topics, including machine learning, pattern recognition, natural language processing, knowledge representation, cognitive aspects of AI, ethics of AI, and other important aspects of AI research.


artificial intelligence communication systems computer networks computer systems computer vision data mining databases education engineering image analysis image processing learning linguistics machine learning mathematics Natural Language Processing (NLP) network protocols neural networks semantics signal processing

Editors and affiliations

  1. 1.National Research Council CanadaOttawaCanada
  2. 2.Queen’s UniversityKingstonCanada

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