Advances in Artificial Intelligence [electronic resource] : 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13-15, 2020, Proceedings / edited by Cyril Goutte, Xiaodan Zhu.
Contributor(s): Goutte, Cyril [editor.]
| Zhu, Xiaodan [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 12109Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XV, 572 p. 216 illus., 117 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030473587.Subject(s): Artificial intelligence | Computer networks | Social sciences -- Data processing | Data protection | Education -- Data processing | Data mining | Artificial Intelligence | Computer Communication Networks | Computer Application in Social and Behavioral Sciences | Data and Information Security | Computers and Education | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: 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.
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.
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