Deep Learning Theory and Applications (eBook, PDF)

Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022, Revised Selected Papers
Redaktion: Fred, Ana; Madani, Kurosh; Gusikhin, Oleg; Sansone, Carlo

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 121
• Erscheinungstermin: 6. Juli 2023
• Englisch
• ISBN-13: 9783031373176
• Artikelnr.: 68379713

Inhaltsangabe

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.