Deep learning theory and applications Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022, revised selected papers
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...
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Weitere Verfasser: | , , , |
Format: | UnknownFormat |
Sprache: | eng |
Veröffentlicht: |
Cham
Springer
2023
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Schriftenreihe: | Communications in computer and information science
1858 |
Schlagworte: |
Artificial intelligence
> COMPUTERS / Artificial Intelligence
> COMPUTERS / Data Processing / General
> COMPUTERS / Hardware / Network Hardware
> COMPUTERS / Information Technology
> Künstliche Intelligenz
> Mathematical theory of computation
> Mathematik für Informatiker
> Network hardware
> Netzwerk-Hardware
> Systemanalyse und -design
> Systems analysis & design
> Konferenzschrift
> Deep learning
> Bildverarbeitung
> Neuronales Netz
> Maschinelles Lernen
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Online Zugang: | Cover Inhaltsverzeichnis |
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Titel | Jahr | Verfasser |
---|---|---|
Modified SkipGram Negative Sampling Model for Faster Convergence of Graph Embedding | 2023 | Loumponias, Kostas |
Convolutional Neural Networks for Structural Damage Localization on Digital Twins | 2023 | Parola, Marco |
Reliable Classification of Images by Calculating Their Credibility Using a Layer-Wise Activation Cluster Analysis of CNNs | 2023 | Lehmann, Daniel |
Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences | 2023 | Katkoria, Dhvani |
Active Collection of Well-Being and Health Data in Mobile Devices | 2023 | Marques, João |
Traffic Sign Repositories: Bridging the Gap Between Real and Synthetic Data | 2023 | Silva, Diogo Lopes da |