Fred, Ana
[HerausgeberIn];
Sansone, Carlo
[HerausgeberIn];
Gusikhin, Oleg
[HerausgeberIn];
Madani, Kurosh
[HerausgeberIn]
Deep Learning Theory and Applications
: Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers
- [1st ed. 2023.]
Beschreibung:
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.