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| Link zu diesem Datensatz | https://d-nb.info/134229971X |
| Art des Inhalts | Konferenzschrift |
| Titel | Artificial Neural Networks and Machine Learning – ICANN 2024 : 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VI / edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko |
| Person(en) |
Wand, Michael (Herausgeber) Malinovská, Kristína (Herausgeber) Schmidhuber, Jürgen (Herausgeber) Tetko, Igor (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XXXIII, 330 p. 104 illus., 95 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-72346-9 Printed edition:: ISBN: 978-3-031-72348-3 |
| Inhalt | -- Multimodality. -- ARIF: An Adaptive Attention-Based Cross-Modal Representation Integration Framework. -- BVRCC: Bootstrapping Video Retrieval via Cross-matching Correction. -- CAW: Confidence-based Adaptive Weighted Model for Multi-modal Entity Linking. -- Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieva. -- Exploring Interpretable Semantic Alignment for Multimodal Machine Translation. -- Modal fusion-Enhanced two-stream hashing network for Cross modal Retrieval. -- Text Visual Question Answering Based on Interactive Learning and Relationship Modeling. -- Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment. -- Federated Learning. -- Addressing the Privacy and Complexity of Urban Traffic Flow Prediction with Federated Learning and Spatiotemporal Graph Convolutional Networks. -- An Accuracy-Shaping Mechanism for Competitive Distributed Learning. -- Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. -- FedInc: One-shot Federated Tuning for Collaborative Incident Recognition. -- Layer-wised Sparsification Based on Hypernetwork for Distributed NN Training. -- Security Assessment of Hierarchical Federated Deep Learning. -- Time Series Processing. -- ESSformer: Transformers with ESS Attention for Long-Term Series Forecasting. -- Fusion of image representations for time series classification with deep learning. -- HierNBeats: Hierarchical Neural Basis Expansion Analysis for Hierarchical Time Series Forecasting. -- Learning Seasonal-Trend Representations and Conditional Heteroskedasticity for Time Series Analysis. -- One Process Spatiotemporal Learning of Transformers via Vcls Token for Multivariate Time Series Forecasting. -- STformer: Spatio-Temporal Transformer for Multivariate Time Series Anomaly Detection. -- TF-CL:Time Series Forcasting Based on Time-Frequency Domain Contrastive Learning |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2409180420101.076208393163 DOI: 10.1007/978-3-031-72347-6 |
| URL | https://doi.org/10.1007/978-3-031-72347-6 |
| ISBN/Einband/Preis | 978-3-031-72347-6 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15021 |
| DDC-Notation | 004.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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