Deep Learning Theory and Applications [[electronic resource] ] : Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani
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| Autore: |
Fred Ana
|
| Titolo: |
Deep Learning Theory and Applications [[electronic resource] ] : Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani
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| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Edizione: | 1st ed. 2023. |
| Descrizione fisica: | 1 online resource (130 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Artificial intelligence |
| Computer systems | |
| Computer networks | |
| Computer science—Mathematics | |
| Artificial Intelligence | |
| Computer System Implementation | |
| Computer Communication Networks | |
| Mathematics of Computing | |
| Altri autori: |
SansoneCarlo
GusikhinOleg
MadaniKurosh
|
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Deep Learning Theory and Applications |
| ISBN: | 3-031-37317-0 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996546836003316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |
Serie:
Communications in Computer and Information Science, . 1865-0937 ; ; 1858