Analysis of Images, Social Networks and Texts (eBook, PDF)
9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers
Redaktion: Aalst, Wil M. P. van der; Loukachevitch, Natalia; Lomazova, Irina A.; Kuznetsov, Sergei O.; Kutuzov, Andrey; Koltsova, Olessia; Khachay, Michael; Ignatov, Dmitry I.; Batagelj, Vladimir; Tutubalina, Elena; Savchenko, Andrey V.; Pelillo, Marcello; Pardalos, Panos M.; Panchenko, Alexander; Napoli, Amedeo
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This book constitutes revised selected papers from the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held during October 15-16, 2020. The conference was planned to take place in Moscow, Russia, but changed to an online format due to the COVID-19 pandemic.The 27 full papers and 4 short papers presented in this volume were carefully reviewed and selected from a total of 108 qualified submissions. The papers are organized in topical sections as follows: invited papers; natural language processing; computer vision; social network analysis; data analysis ...
This book constitutes revised selected papers from the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held during October 15-16, 2020. The conference was planned to take place in Moscow, Russia, but changed to an online format due to the COVID-19 pandemic.
The 27 full papers and 4 short papers presented in this volume were carefully reviewed and selected from a total of 108 qualified submissions. The papers are organized in topical sections as follows: invited papers; natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; and process mining.
The 27 full papers and 4 short papers presented in this volume were carefully reviewed and selected from a total of 108 qualified submissions. The papers are organized in topical sections as follows: invited papers; natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; and process mining.
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