Deep Learning Theory and Applications

Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers

Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani (Herausgeber)

Buch | Softcover

IX, 121 Seiten

2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-37316-9 (ISBN)

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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.

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.

Erscheinungsdatum	08.07.2023
Reihe/Serie	Communications in Computer and Information Science
Zusatzinfo	IX, 121 p. 49 illus., 47 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	213 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Big Data Analytics • computer vision • convolutional neural networks • Deep Hierarchical Networks • Deep Reinforcement Learning • Evolutionary Methods • generative adversarial networks • Graph representation learning • image classification • machine learning • Meta-Learning and Deep Networks • Models and Algorithms • Natural language understanding • Object detection • Recurrent Neural Network • semantic indexing
ISBN-10	3-031-37316-2 / 3031373162
ISBN-13	978-3-031-37316-9 / 9783031373169
Zustand	Neuware