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Deep learning theory and application...

International Conference on Deep Learning Theory and Applications (2022 :)

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Deep learning theory and applications = third International Conference, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deep learning theory and applications/ edited by Ana Fred ... [et al.].
Reminder of title:	third International Conference, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022 : revised selected papers /
remainder title:	DeLTA 2022
other author:	Fred, Ana.
corporate name:	International Conference on Deep Learning Theory and Applications
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	ix, 121 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Deep learning (Machine learning) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-37317-6
ISBN:	9783031373176

Deep learning theory and applications = third International Conference, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022 : revised selected papers /
Deep learning theory and applicationsthird International Conference, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022 : revised selected papers /[electronic resource] :DeLTA 2022edited by Ana Fred ... [et al.]. - Cham :Springer Nature Switzerland :2023. - ix, 121 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,18581865-0937 ;. - Communications in computer and information science ;1858..

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.

ISBN: 9783031373176

Standard No.: 10.1007/978-3-031-37317-6doiSubjects--Topical Terms:

3593062
Deep learning (Machine learning)
--Congresses.

LC Class. No.: Q325.73

Dewey Class. No.: 006.31

Deep learning theory and applications = third International Conference, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022 : revised selected papers /
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490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 1858
505 0 $a 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.
520 $a 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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