| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Analysis of images, social networks and texts/ edited by Alexander Panchenko ... [et al.]. |
| Reminder of title: |
12th International Conference, AIST 2024, Bishkek, Kyrgyzstan, October 17-19, 2024 : revised selected papers / |
| remainder title: |
AIST 2024 |
| other author: |
Panchenko, Alexander. |
| corporate name: |
AIST (Conference) |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xx, 275 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Data mining - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-88036-0 |
| ISBN: |
9783031880360 |