Recent trends in analysis of images,...
AIST (Conference) (2023 :)

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  • Recent trends in analysis of images, social networks and texts = 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30 : revised selected papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Recent trends in analysis of images, social networks and texts/ edited by Dmitry I. Ignatov ... [et al.].
    其他題名: 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30 : revised selected papers /
    其他題名: AIST 2023
    其他作者: Ignatov, Dmitry I.
    團體作者: AIST (Conference)
    出版者: Cham :Springer Nature Switzerland : : 2024.,
    面頁冊數: xliii, 310 p. :ill. (some col.), digital ;24 cm.
    內容註: Natural Language Processing. -- Determination of the Number of Topics Intrinsically: Is It Possible?. -- Sentence Difficulty in Three Languages: Russian Dataset compared to Italian and English. -- Machine Translation Models Stand Strong in the Face of Adversarial Attacks. -- Whether Large Language Models Learn at the Inference Stage?. -- Machine Translation for Russian-Khakas language pair: translation results in low-resource setting. -- Automatic aspect extraction from scientific texts. -- User Review Summarization in Russian. -- Tuning-free Discriminative Nearest Neighbor Few-shot Intent Detection via Consecutive Knowledge Transfer. -- Prompt-tuning for Targeted Sentiment Analysis in Russian. -- On the Way to Controllable Text Summarization in Russian. -- Document-level relation extraction in Russian. -- The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends. -- Computer Vision. -- Interactive Image Segmentation with Superpixel Propagation. -- Gesture recognition on video data. -- Semantic-aware GAN Manipulations for Human Face Editing. -- Learning facial expression recognition in-the-wild from synthetic data based on an ensemble of lightweight neural networks. -- Acne recognition: training models with experts. -- Data Analysis and Machine Learning. -- Application of Multimodal Machine Learning for Image Recommendation Systems. -- Data-Driven Approach for Identifying Functional State of Hemodialysis Fistulas: Entropy-Complexity and Formal Concept Analysis. -- Network Analysis. -- Approximate Density Computation for OA-biclustering. -- Theoretical Machine Learning and Optimization. -- Distributed Bayesian Coresets. -- Demo Paper. -- Development of a visualization tool for the occurrence of life events on the demographic Lexis grid.
    Contained By: Springer Nature eBook
    標題: Data mining - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-67008-4
    ISBN: 9783031670084
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W9494335 電子資源 11.線上閱覽_V 電子書 EB QA76.9.D343 A57 2023 一般使用(Normal) 在架 0
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