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Herausgeber: 
  • Panos Pardalos
  • Eduard BABKIN
  • Sergey Stupnikov
  • Nikolay Zolotykh
  • Data Analytics and Management in Data Intensive Domains: 26th International Conference, DAMDID/RCDL 2024, Nizhny Novgorod, Russia, October 23–25, 2024 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2025  
    Genre:  EDV / Informatik 
     
    angewandte informatik / Artificial Intelligence / Bildverarbeitung / Computer and Information Systems Applications / Computer Application in Social and Behavioral Sciences / Computer Imaging, Vision, Pattern Recognition and Graphics / conceptual modelling / Data Analytics
    ISBN:  9783032039965 
    EAN-Code: 
    9783032039965 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  296 
    Illustration:  XXXI, 296 p. 77 illus., 53 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    .- Conceptual Modeling and Ontologies. .- An Approach to Information Security Domain Analysis for Building a Research Infrastructure. .- Approach to Developing a Machine Learning Ontology. .- Metagraph Operations using Bigraph Representation. .- Ontology and Knowledge Graph of Mathematical Physics in the Semantic Library MathSemanticLib. .- Data Quality Assessment in Large Spectral Data Collections. States and Transitions. .- Generative and Transformer-Based Models. .- Explaining Transformer-Based Models: a Comparative Study of flan-T5 and BERT Using Post-Hoc Methods. .- Exploring Fine-Tuned Generative Models for Keyphrase Selection: A Case Study for Russian. .- Applying Generative Neural Networks to Extract Argument Relations from Scientific Communication Texts. .- An Experimental Study on Cross-Domain Transformer-Based Term Recognition for Russian. .- On Open Datasets for LLM Adversarial Testing. .- An LLM Approach to Fixing Common Code Issues in Machine Learning Projects. .- Machine Learning Methods and Applications. .- Verifying Factographic Content in Narrative Texts. .- Decoding the Past: Building a Comprehensive Glagolitic Dataset for Historical Text Analysis. .- Real-Bogus Classification for ZTF Data Releases: Two Approaches. .- Prospects for the Use of Artificial Intelligence for Hydrometeorology. .- Statistical Methods and Applications. .- Model for Assessing the Need to Involve Users of Social Networks in a Healthy LifeStyle and Giving up Bad Habits According to the Data of a Social Network. .- Exploring Patterns of Information Literacy Development in Schools: Application of Multilevel Latent Class Analysis to School Students Survey Data. .- Development and Implementation of Software Application for Comparative Analysis of the Estimates of the Complexity of Text Data. .- bXES: a Binary Format for Storing and Transferring Software Event Logs.

      



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