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ORCID12th AIST 2024: Bishkek, Kyrgyzstan
- Alexander Panchenko
, Dmitry A. Gubanov, Mikhail Yu. Khachay, Andrey Kutuzov, Natalia V. Loukachevitch, Andrey Kuznetsov, Irina Nikishina, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Aida Kasieva, Dmitry I. Ignatov:
Analysis of Images, Social Networks and Texts - 12th International Conference, AIST 2024, Bishkek, Kyrgyzstan, October 17-19, 2024, Revised Selected Papers. Lecture Notes in Computer Science 15419, Springer 2025, ISBN 978-3-031-88035-3
Keynote and Invited Papers
- Anton Alekseev, Timur Turatali:
KyrgyzNLP: Challenges, Progress, and Future. 3-39 - Dmitry A. Gubanov:
Modeling Information Influence and Control in Social Networks: Integrating Opinions, Trust, Reputation, and Agent Dynamics. 40-70
Natural Language Processing
- Stanislav Elkin:
Graphical Abbreviation Disclosure in Russian Language. 73-86 - Alex Gorbulev, Vasiliy Alekseev, Konstantin V. Vorontsov:
Iterative Improvement of an Additively Regularized Topic Model. 87-106 - Anna V. Glazkova, Dmitry Morozov, Timur Garipov:
Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases. 107-119 - Sergej Kudrjashov, Olesya Karpik, Eduard Klyshinsky:
Shrink the Longest: Improving Latent Space Isotropy with Simplicial Geometry. 120-130 - Lidiia Ostyakova, Anna Mikhailova, Vasily Konovalov:
Redefining Annotation Practices: Leveraging Large Language Models for Discourse Annotation. 131-147 - Alexey Sorokin, Regina Nasyrova:
GERA: A Corpus of Russian School Texts Annotated for Grammatical Error Correction. 148-163 - Sergey V. Vychegzhanin, Anastasia Kotelnikova, Alexander Sergeev, Evgeny V. Kotelnikov:
From Tokens to Tales: Semantic Similarity in Story Generation. 164-178 - Liao Xin, Daria Liutova, Valentin Malykh:
Cross-Language Summarization in Russian and Chinese Using the Reinforcement Learning. 179-192
Computer Vision
- Aleksei A. Andreev, Andrey V. Savchenko:
Temporal Modeling via TCN and Transformer for Audio-Visual Emotion Recognition. 195-207 - Nikita Lomov, Danila Stepochkin, Dmitry Kropotov:
YOLO-HTR: Page-Level Recognition of Historical Handwritten Document Collections. 208-220
Data Analysis and Machine Learning
- Romuald Kwessy Mouona, Blaise Blériot Koguep Njionou, Léonard Kwuida, Etienne Romuald Temgoua Alomo:
An Optimal Set of Implications in Triadic Contexts. 223-234 - Aleksandr Yugay, Alexey Zaytsev:
Uniting Contrastive and Generative Learning for Event Sequences Models. 235-246
Theoretical Machine Learning and Optimization
- Edward Kh. Gimadi, Oxana Yu. Tsidulko:
An Asymptotically Optimal Algorithm for the Minimum Weight Spanning Tree with Arbitrarily Bounded Diameter on Random Inputs. 249-261 - Artem Makhin, Maxim Panov:
Automatic Adaptive Conformal Inference for Time Series Forecasting. 262-274
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