Analysis of Images, Social Networks and Texts (eBook, PDF)

12th International Conference, AIST 2024, Bishkek, Kyrgyzstan, October 17-19, 2024, Revised Selected Papers
Redaktion: Panchenko, Alexander; Pardalos, Panos M.; Panov, Maxim; Nikishina, Irina; Kuznetsov, Andrey; Loukachevitch, Natalia; Kutuzov, Andrey; Khachay, Michael; Gubanov, Dmitriy; Ignatov, Dmitry I.; Kasieva, Aida; Tutubalina, Elena; Tsymbalov, Evgenii; Savchenko, Andrey V.

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 12th International Conference on Analysis of Images, Social Networks and Texts, AIST 2024, held in Bishkek, Kyrgyzstan, during October 17-19, 2024.

The 16 full papers included in this book were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: Natural Language Processing; Computer Vision; Data Analysis and Machine Learning; and Theoretical Machine Learning and Optimization.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 275
• Erscheinungstermin: 14. April 2025
• Englisch
• ISBN-13: 9783031880360
• Artikelnr.: 73885396

Inhaltsangabe

.- Keynote and Invited Papers.

.- KyrgyzNLP: Challenges, Progress, and Future.

.- Modeling Information Influence and Control in Social Networks: Integrating Opinions, Trust, Reputation, and Agent Dynamics.

.- Natural Language Processing.

.- Graphical Abbreviation Disclosure in Russian Language.

.- Iterative Improvement of an Additively Regularized Topic Model.

.- Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases.

.- Shrink the longest: improving latent space isotropy with simplicial geometry.

.- Redefining Annotation Practices: Leveraging Large Language Models for Discourse Annotation.

.- GERA: a corpus of Russian school texts annotated for Grammatical Error Correction.

.- From Tokens to Tales: Semantic Similarity in Story Generation.

.- Cross-Language Summarization in Russian and Chinese Using the Reinforcement Learning.

.- Computer Vision.

.- Temporal Modeling via TCN and Transformer for Audio-Visual Emotion Recognition.

.- YOLO-HTR: Page-Level Recognition of Historical Handwritten Document Collections.

.- Data Analysis and Machine Learning.

.- An optimal set of implications in triadic contexts.

.- Uniting contrastive and generative learning for event sequences models.

.- Theoretical Machine Learning and Optimization.

.- An asymptotically optimal algorithm for the minimum weight spanning tree with arbitrarily bounded diameter on random inputs.

.- Automatic Adaptive Conformal Inference for Time Series Forecasting.