Recent trends in analysis of images,...
AIST (Conference) (2021 :)

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  • Recent trends in analysis of images, social networks and texts = 10th international conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021 : revised selected papers /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Recent trends in analysis of images, social networks and texts/ edited by Evgeny Burnaev ... [et al.].
    Reminder of title: 10th international conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021 : revised selected papers /
    remainder title: AIST 2021
    other author: Burnaev, Evgeny.
    corporate name: AIST (Conference)
    Published: Cham :Springer International Publishing : : 2022.,
    Description: xviii, 221 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Natural Language Processing -- Call Larisa Ivanovna: Code-Mixing Fools Multilingual NLU Models -- Extracting Software Requirements from Unstructured Documents -- Continuous Prompt Tuning for Russian: How to Learn Prompts Efficiently with RuGPT3? -- An Intelligent Web-Service for Automatic Concept Map Generation -- Language-Free Regular Expression Search of Document's References -- Does BERT Look at Sentiment Lexicon? -- Context-Based Text-Graph Embeddings in Word-Sense Induction tasks -- Computer Vision -- Analysis of Thresholding Methods for the Segmentation of Brain Vessels -- Transformer-based Deep Reinforcement Learning in VizDoom -- Text CAPTCHA Traversal via Knowledge Distillation of Convolutional Neural Networks: Exploring the Impact of Color Channels Selection -- Data Analysis and Machine Learning -- Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling -- Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation -- Social Network Analysis -- Agent-Based Model for Estimation of Collective Emotions in Social Networks -- A method for identifying bridges in online social networks -- Theoretical Machine Learning and Optimisation -- On the Pareto-Optimal Solutions in the Multimodal Clustering Problem -- On Several Edge-Disjoint MSTs with Given Diameter in Undirected Graph with Exponentially Distributed Edge Weights -- Neural Architecture Search with Structure Complexity Control.
    Contained By: Springer Nature eBook
    Subject: Data mining - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-15168-2
    ISBN: 9783031151682
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W9444632 電子資源 11.線上閱覽_V 電子書 EB QA76.9.D343 A57 2021 一般使用(Normal) On shelf 0
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