Výsledky vyhledávání

Report

GNN 101: Visual Learning of Graph Neural Networks in Your Web Browser

Autor: Lu, Yilin, Chen, Chongwei, Huang, Kexin, Zitnik, Marinka, Wang, Qianwen

Graph Neural Networks (GNNs) have achieved significant success across various applications. However, their complex structures and inner workings can be challenging for non-AI experts to understand. To address this issue, we present \name, an educatio

Externí odkaz: http://arxiv.org/abs/2411.17849

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Report

Intuitive interaction flow: A Dual-Loop Human-Machine Collaboration Task Allocation Model and an experimental study

Autor: Xu, Jiang, Miao, Qiyang, Huang, Ziyuan, Lu, Yilin, Sun, Lingyun, Yu, Tianyang, Pei, Jingru, Zhao, Qichao

This study investigates the issue of task allocation in Human-Machine Collaboration (HMC) within the context of Industry 4.0. By integrating philosophical insights and cognitive science, it clearly defines two typical modes of human behavior in human

Externí odkaz: http://arxiv.org/abs/2410.07804

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Report

AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion

Autor: Hu, Jie, Huang, Yawen, Lu, Yilin, Xie, Guoyang, Jiang, Guannan, Zheng, Yefeng, Lu, Zhichao

Anomaly synthesis is one of the effective methods to augment abnormal samples for training. However, current anomaly synthesis methods predominantly rely on texture information as input, which limits the fidelity of synthesized abnormal samples. Beca

Externí odkaz: http://arxiv.org/abs/2404.19444

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Dissertation/ Thesis

Dopad plateb třetích stran na ziskovost komerčních bank

Autor: Lu, Yilin

This article explores the influence of Chinese third-party payment transaction volume on the profitability of Chinese 15 commercial banks. The article starts from the operating model of third-party payment, and then builds four corresponding models

Externí odkaz: http://www.nusl.cz/ntk/nusl-452729

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