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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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Advances in Artificial Intelligence 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings edited by Cyril Goutte, Xiaodan Zhu, 1st ed. 2020., Cham Springer International Publishing 2020., Cham Imprint: Springer 2020., 1 Online-Ressource(XV, 572 p. 216 illus., 117 illus. in color.), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Lecture Notes in Artificial Intelligence 12109, Springer eBook Collection, 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., Computer communication systems., Application software., Computer security., Education—Data processing., Artificial intelligence., Data mining., Social sciences, Data protection., Education, Computer networks ., Konferenzschrift (DE-588)1071861417 (DE-627)826484824 (DE-576)433375485 gnd-content, s (DE-588)4241169-5 (DE-627)10482428X (DE-576)210435860 Wissenserwerb gnd, s (DE-588)4333533-0 (DE-627)148059813 (DE-576)211341142 Inferenz Künstliche Intelligenz gnd, s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd, (DE-627), Goutte, Cyril HerausgeberIn (DE-588)1213766176 (DE-627)172476764X edt, Zhu, Xiaodan HerausgeberIn (orcid)0000-0003-3856-3696 edt, 9783030473570, 9783030473594, Erscheint auch als Druck-Ausgabe Canadian Conference on Artificial Intelligence (33. : 2020 : Online) Advances in Artificial Intelligence Cham : Springer, 2020 xv, 572 Seiten (DE-627)1698295146 9783030473570 3030473570, Erscheint auch als Druck-Ausgabe 9783030473594, https://doi.org/10.1007/978-3-030-47358-7 X:SPRINGER Resolving-System lizenzpflichtig |
spellingShingle |
Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, 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., Computer communication systems., Application software., Computer security., Education—Data processing., Artificial intelligence., Data mining., Social sciences, Data protection., Education, Computer networks ., Konferenzschrift, Wissenserwerb, Inferenz Künstliche Intelligenz, Maschinelles Lernen |
title |
Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings |
title_auth |
Advances in Artificial Intelligence 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings |
title_full |
Advances in Artificial Intelligence 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings edited by Cyril Goutte, Xiaodan Zhu |
title_fullStr |
Advances in Artificial Intelligence 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings edited by Cyril Goutte, Xiaodan Zhu |
title_full_unstemmed |
Advances in Artificial Intelligence 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings edited by Cyril Goutte, Xiaodan Zhu |
title_short |
Advances in Artificial Intelligence |
title_sort |
advances in artificial intelligence 33rd canadian conference on artificial intelligence, canadian ai 2020, ottawa, on, canada, may 13–15, 2020, proceedings |
title_sub |
33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings |
title_unstemmed |
Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings |
topic |
Computer communication systems., Application software., Computer security., Education—Data processing., Artificial intelligence., Data mining., Social sciences, Data protection., Education, Computer networks ., Konferenzschrift, Wissenserwerb, Inferenz Künstliche Intelligenz, Maschinelles Lernen |
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Computer communication systems., Application software., Computer security., Education—Data processing., Artificial intelligence., Data mining., Social sciences, Data protection., Education, Computer networks ., Konferenzschrift, Wissenserwerb, Inferenz, Maschinelles Lernen |
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https://doi.org/10.1007/978-3-030-47358-7 |
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