Deep Learning Theory and Applications Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers /
Deep Learning Theory and Applications Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers / [electronic resource] :
edited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani.
- 1st ed. 2023.
- IX, 121 p. 49 illus., 47 illus. in color. online resource.
- Communications in Computer and Information Science, 1858 1865-0937 ; .
- 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.
9783031373176
10.1007/978-3-031-37317-6 doi
Artificial intelligence.
Computer systems.
Computer networks .
Computer science--Mathematics.
Artificial Intelligence.
Computer System Implementation.
Computer Communication Networks.
Mathematics of Computing.
Q334-342 TA347.A78
006.3
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.
9783031373176
10.1007/978-3-031-37317-6 doi
Artificial intelligence.
Computer systems.
Computer networks .
Computer science--Mathematics.
Artificial Intelligence.
Computer System Implementation.
Computer Communication Networks.
Mathematics of Computing.
Q334-342 TA347.A78
006.3