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CONFERENCES

ICPRAI 2020

Following the success of the first ICPRAI in Montreal, Canada, CENPARMI is organizing a second ICPRAI in 2020 in Zhongshan, China, from May 12-15, 2020. More information can be found on our web page. Join us on the conference Facebook page.

CENPARMI often participates in industry conferences such as:

  • International Conference on Pattern Recognition and
    Artificial Intelligence (ICPRAI)
  • Global Summit and Expo on Multimedia & Artificial Intelligence
  • International Conference on Pattern Recognition and Image Analysis (PRIA)
  • International Conference on Document Analysis and Recognition (ICDAR)
  • International Conference on Pattern Recognition (ICPR)
  • International Conference on Frontiers in Handwriting Recognition (ICFHR)

See our publications page for a complete list of our members' published work.

ICPRAI 2018

CENPARMI hosted the first ICPRAI 2018, International Conference on Pattern Recognition and Artificial Intelligence, May 14-17, 2018, in Montreal, Canada, to mark the 30th Anniversary of CENPARMI (Centre for Pattern Recognition and Machine Intelligence), Concordia University in Montreal, Canada. 

2017 Global Summit and Expo on Multimedia & Artificial Intelligence

CENPARMI organized the 3rd Global Summit and Expo on Multimedia & Artificial Intelligence, July 20-21, 2017, in Lisbon, Portugal. 

Visit the Multimedia, Blockchain & Artificial Intelligence Technology conference page

ICIAR 2017

CENPARMI member Dr. Tien D. Bui gave a keynote presentation at the 14th International Conference on Image Analysis and Recognition (ICIAR 2017) July 5-7, 2017, in Montreal, Canada. 

ANNPR workshops

CENPARMI hosted the 6th annual conference on Artificial Neural Networks in Pattern Recognition in October 2014, following the success of ANNPR workshops of 2003 (Florence), 2006 (Ulm), 2008 (Paris), 2010 (Cairo) and 2012 (Trento).

The series of ANNPR workshops act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss their latest research, results, and ideas in these areas.

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