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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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep learning theory and applications/ edited by Ana Fred ... [et al.].
其他題名:	third International Conference, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022 : revised selected papers /
其他題名:	DeLTA 2022
其他作者:	Fred, Ana.
團體作者:	International Conference on Deep Learning Theory and Applications
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	ix, 121 p. :ill. (some col.), digital ;24 cm.
內容註:	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
標題:	Deep learning (Machine learning) - Congresses. -
電子資源:	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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