Image from Google Jackets

Big Data : 11th CCF Conference, BigData 2023, Nanjing, China, September 8-10, 2023, Proceedings / edited by Enhong Chen, Yang Gao, Longbing Cao, Fu Xiao, Yiping Cui, Rong Gu, Li Wang, Laizhong Cui, Wanqi Yang

Material type: materialTypeLabelE-bookSeries: (Communications in Computer and Information Science, 1865-0937 ; 2005).Publisher: Singapore : Springer Nature , 2023Edition: 1st ed 2023.Description: 1 recurso en línea.ISBN: 9789819989799.Subject: Urbanismo -- Aspectos ambientales -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Long-term and Short-term Perception in Knowledge Tracing -- A Transfer Learning Enhanced Decomposition-Based Hybrid Framework for Forecasting Multiple Time-Series -- Dataset Search over Integrated Metadata from China's Public Data Open Platforms -- Integrating DCNNs with Genetic Algorithm for Diabetic Retinopathy Classification -- The Convolutional Neural Network Combing Feature-aligned and Attention Pyramid for Fine-Grained Visual Classification -- OCWYOLO:A Road Depression Detection Method -- Explicit Exploring Geometric Modality for Shape-enhanced Single-view 3D Face Reconstruction -- Fine edge and texture prior guided super resolution reconstruction network -- UD-GCN: Uncertainty-Based Semi-Supervised Deep GCN for Imbalanced Node Classification -- Twin Support Vector Regression with Privileged Information -- Detecting Social Robots Based on Multi-View Graph Transformer -- Scheduling Containerized Workflow in Multi-Cluster Kubernetes -- A Study of Electricity Theft Detection Method Based on Anomaly Transformer -- Application and Research on a Large Model Training Method Based on Instruction Fine-Tuning in Domain-Specific Tasks.
Summary: This book constitutes the refereed proceedings of the 11th CCF Conference on BigData 2023, which took place in Nanjing, China, in September 2023. The 14 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería HT166 2023 EB (Browse shelf(Opens below)) Acceso electrónico eBook04012779
Total holds: 0

Long-term and Short-term Perception in Knowledge Tracing -- A Transfer Learning Enhanced Decomposition-Based Hybrid Framework for Forecasting Multiple Time-Series -- Dataset Search over Integrated Metadata from China's Public Data Open Platforms -- Integrating DCNNs with Genetic Algorithm for Diabetic Retinopathy Classification -- The Convolutional Neural Network Combing Feature-aligned and Attention Pyramid for Fine-Grained Visual Classification -- OCWYOLO:A Road Depression Detection Method -- Explicit Exploring Geometric Modality for Shape-enhanced Single-view 3D Face Reconstruction -- Fine edge and texture prior guided super resolution reconstruction network -- UD-GCN: Uncertainty-Based Semi-Supervised Deep GCN for Imbalanced Node Classification -- Twin Support Vector Regression with Privileged Information -- Detecting Social Robots Based on Multi-View Graph Transformer -- Scheduling Containerized Workflow in Multi-Cluster Kubernetes -- A Study of Electricity Theft Detection Method Based on Anomaly Transformer -- Application and Research on a Large Model Training Method Based on Instruction Fine-Tuning in Domain-Specific Tasks.

This book constitutes the refereed proceedings of the 11th CCF Conference on BigData 2023, which took place in Nanjing, China, in September 2023. The 14 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data.

There are no comments on this title.

to post a comment.