Deep learning theory and applications Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022, revised selected papers

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...

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Körperschaft: DeLTA (VerfasserIn)
Weitere Verfasser: Fred, Ana (HerausgeberIn), Gusikhin, Oleg (HerausgeberIn), Madani, Kurosh (HerausgeberIn), Sansone, Carlo (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2023
Schriftenreihe:Communications in computer and information science 1858
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Zusammenfassung: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.
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
Beschreibung:viii, 120 Seiten
Illustrationen, Diagramme
ISBN:9783031373169
978-3-031-37316-9