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Autore: |
Fred Ana
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Titolo: |
Deep Learning Theory and Applications : 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
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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.: | 9910734874903321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |