Update cookies preferences

E-book: Analysis of Images, Social Networks and Texts: 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, 2023, Revised Selected Papers

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Format: PDF+DRM
  • Series: Lecture Notes in Computer Science 14486
  • Pub. Date: 19-Mar-2024
  • Publisher: Springer International Publishing AG
  • Language: eng
  • ISBN-13: 9783031545344
Other books in subject:
  • Format - PDF+DRM
  • Price: 74,09 €*
  • * the price is final i.e. no additional discount will apply
  • Add to basket
  • Add to Wishlist
  • This ebook is for personal use only. E-Books are non-refundable.
Analysis of Images, Social Networks and Texts: 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, 2023, Revised Selected PapersLarger Image
  • Format: PDF+DRM
  • Series: Lecture Notes in Computer Science 14486
  • Pub. Date: 19-Mar-2024
  • Publisher: Springer International Publishing AG
  • Language: eng
  • ISBN-13: 9783031545344
Other books in subject:

DRM restrictions

  • Copying (copy/paste):

    not allowed

  • Printing:

    not allowed

  • Usage:

    Digital Rights Management (DRM)
    The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.  To read this e-book you have to create Adobe ID More info here. Ebook can be read and downloaded up to 6 devices (single user with the same Adobe ID).

    Required software
    To read this ebook on a mobile device (phone or tablet) you'll need to install this free app: PocketBook Reader (iOS / Android)

    To download and read this eBook on a PC or Mac you need Adobe Digital Editions (This is a free app specially developed for eBooks. It's not the same as Adobe Reader, which you probably already have on your computer.)

    You can't read this ebook with Amazon Kindle

This book constitutes revised selected papers from the thoroughly refereed proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts, AIST 2023, held in Yerevan, Armenia, during September 28-30, 2023. 
 
The 24 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: natural language processing; computer vision; data analysis and machine learning; network analysis; and theoretical machine learning and optimization. The book also contains one invited talk in full paper length. 
Invited Paper: Threatening Expression and Target Identication in
under-resource languages using NLP Techniques.- Natural Language
Processing: Benchmarking Multi-Label Topic Classication in Kyrgyz
Language.- Transformers compression: A study of matrix decomposition
methods using Fisher information.- Leveraging Lexical Taxonomy Data in Large
Language Models for Hyponymy Prediction.- Content selection in abstractive
summarization with biased encoder mixtures.- RuCAM: Comparative Argumentative
Machine for the Russian Language.- Paraphrasers and Classiers: Controllable
Text Generation for Text Style Transfer.- Less than Necessary or More than
Sucient: Validating Probing Dataset Size.- Unsupervised Ultra-Fine Entity
Typing with Distributionally Induced Word Senses.- Static, dynamic, or
contextualized: what is the best approach for discovering semantic shifts in
Russian media?.- Controllable Story Generation Based on Perplexity
Minimization.- Automatic Detection of Dialectal Features of Pskov Dialects in
the Speech of Native Speakers.- Needle in a Haystack: Finding Suitable Idioms
Based on Text Descriptions.- Computer Vision: DeepLOC: Deep Learning-based
Bone Pathology Localization and Classication in Wrist X-ray Images.- MiVOLO:
Multi-input Transformer for Age and Gender Estimation.- Handwritten Text
Recognition and Browsing in Archive of Prisoners Letters from Smolensk
Convict Prison.- Greedy Algorithm for Fast Finding Curvilinear Symmetry of
Binary Raster Images.-Data Analysis and Machine Learning: Ensemble Clustering
with Heterogeneous Transfer Learning.- Detecting design patterns in Android
applications with CodeBERT embeddings and CK metrics.- Metamorphic testing
for recommender systems.- Application of Dynamic Graph CNN* and FICP for
Detection and Research Archaeology Sites.- Network
Analysis: Visualization-Driven Graph Sampling Strategy for
Exploring Large-Scale Networks.- Limit Distributions of Friendship Index in
Scale-Free Networks.- Theoretical Machine Learning and Optimization: The
Problem of Finding Several Given Diameter Spanning Trees of Maximum Total
Weight in a Complete Graph.- Is Caneld Right? On the Asymptotic Coecients
for the Maximum Antichain of Partitions and Related Counting Inequalitie.
More information about ebooks More information about ebooks
Permanent link: https://www.kriso.ee/db/97830315453442e.html