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fred ana (curatore); sansone carlo (curatore); gusikhin oleg (curatore); madani kurosh (curatore) - deep learning theory and applications

Deep Learning Theory and Applications Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 07/2023
Edizione: 1st ed. 2023





Trama

This book constitutes the refereed post-conference proceedings of the Third International Conference on Deep Learning Theory and Applications, DeLTA 2022, held in Lisbon, Portugal, during January 17-18, 2022.

The 6 full papers included in this book were carefully reviewed and selected from 36 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structured and unstructured multimodal data sources, natural language understanding and translation, and many other application domains.




Sommario

Modified SkipGram Negative Sampling Model for Faster Convergence of Graph Embedding.- Active Collection of Well-being and Health Data in Mobile Devices.- Reliable Classification of Images by Calculating Their Credibility using a Layer-wise Activation Cluster Analysis of CNNs.- Trac Sign Repositories: Bridging the Gap between Real and Synthetic Data.- Convolutional Neural Networks for Structural Damage Localization on Digital Twins.- Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences.










Altre Informazioni

ISBN:

9783031373169

Condizione: Nuovo
Collana: Communications in Computer and Information Science
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:IX, 121 p. 49 illus., 47 illus. in color.
Pagine Arabe: 121
Pagine Romane: ix


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