Deep Learning Theory and Applications: Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers
Author:   Ana Fred ,  Carlo Sansone ,  Oleg Gusikhin ,  Kurosh Madani
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2023
Volume:   1858
ISBN:  

9783031373169


Pages:   121
Publication Date:   07 July 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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


Overview

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.

Full Product Details

Author:   Ana Fred ,  Carlo Sansone ,  Oleg Gusikhin ,  Kurosh Madani
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Volume:   1858
Weight:   0.215kg
ISBN:  

9783031373169


ISBN 10:   3031373162
Pages:   121
Publication Date:   07 July 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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