Dmitry I. Ignatov; Michael Khachay; Andrey Kutuzov; Habet Madoyan; Ilya Makarov; Irina Nikishina; Alexander Panchenko; Pa Springer International Publishing AG (2024) Pehmeäkantinen kirja
Michael Khachay; Yury Kochetov; Anton Eremeev; Oleg Khamisov; Vladimir Mazalov; Panos Pardalos Springer International Publishing AG (2023) Pehmeäkantinen kirja
Michael Khachay (ed.); Yury Kochetov (ed.); Anton Eremeev (ed.); Oleg Khamisov (ed.); Vladimir Mazalov (ed.); Pan Pardalos Springer (2023) Pehmeäkantinen kirja
Wil M.P. van der Aalst; Dmitry I. Ignatov; Michael Khachay; Sergei O. Kuznetsov; Victor Lempitsky; Irina A. Lomazova; Louk Springer International Publishing AG (2017) Pehmeäkantinen kirja
Wil M. P. van der Aalst (ed.); Vladimir Batagelj (ed.); Goran Glavaš (ed.); Dmitry I. Ignatov (ed.); Michael Khachay (ed.) Springer (2018) Pehmeäkantinen kirja
Wil M. P. van der Aalst (ed.); Vladimir Batagelj (ed.); Dmitry I. Ignatov (ed.); Michael Khachay (ed.); Valentina ( Kuskova Springer (2019) Pehmeäkantinen kirja
Wil M. P. van der Aalst (ed.); Vladimir Batagelj (ed.); Dmitry I. Ignatov (ed.); Michael Khachay (ed.); Valentina ( Kuskova Springer (2020) Pehmeäkantinen kirja
Wil M. P. van der Aalst; Vladimir Batagelj; Alexey Buzmakov; Dmitry I. Ignatov; Anna Kalenkova; Michael Khachay; Koltsova Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Wil M. P. van der Aalst; Vladimir Batagelj; Dmitry I. Ignatov; Michael Khachay; Olessia Koltsova; Andrey Kutuzov; Kuznetso Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
This book constitutes the refereed proceedings of the 11th International Conference on Recent Trends in Analysis of Images, Social Networks and Texts, AIST 2023, held in Yerevan, Armenia, during September 28–30, 2023.
The 19 full papers 2 short papers and 1 demo paper included in this book were carefully reviewed and selected from 52 submissions. They were organized in topical sections as follows: Natural Language Processing; Computer Vision; Data Analysis and Machine Learning; Network Analysis; Theoretical Machine Learning and Optimization; and Demo Paper.
