Predicting Admissions From a Paediatric Emergency Department - Protocol for Developing and Validating a Low-Dimensional Machine Learning Prediction Model [0.03%]
儿科急诊科预测入院量——开发和验证低维度机器学习预测模型的方法学研究
Fiona Leonard,John Gilligan,Michael J Barrett
Fiona Leonard
Introduction: Patients boarding in the Emergency Department can contribute to overcrowding, leading to longer waiting times and patients leaving without being seen or completing their treatment. The early identification of potential admissi...
CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics [0.03%]
高能量物理学中用于高粒度 calorimeter 的快速并行聚类算法 CLUE
Marco Rovere,Ziheng Chen,Antonio Di Pilato et al.
Marco Rovere et al.
One of the challenges of high granularity calorimeters, such as that to be built to cover the endcap region in the CMS Phase-2 Upgrade for HL-LHC, is that the large number of channels causes a surge in the computing load when clustering num...
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect [0.03%]
推荐中的预训练知识迁移：回顾与展望
Zheni Zeng,Chaojun Xiao,Yuan Yao et al.
Zheni Zeng et al.
Recommender systems aim to provide item recommendations for users and are usually faced with data sparsity problems (e.g., cold start) in real-world scenarios. Recently pre-trained models have shown their effectiveness in knowledge transfer...
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics [0.03%]
基于FPGA的距离加权图神经网络在高能物理实时粒子重建中的应用
Yutaro Iiyama,Gianluca Cerminara,Abhijay Gupta et al.
Yutaro Iiyama et al.
Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering. An important domain for the application of these networks ...
Sonographic Diagnosis of COVID-19: A Review of Image Processing for Lung Ultrasound [0.03%]
COVID-19的超声诊断：肺部超声图像处理综述
Conor McDermott,Maciej Łącki,Ben Sainsbury et al.
Conor McDermott et al.
The sustained increase in new cases of COVID-19 across the world and potential for subsequent outbreaks call for new tools to assist health professionals with early diagnosis and patient monitoring. Growing evidence around the world is show...
Renita M Murimi
Renita M Murimi
This paper studies contractual graphs, where the formation of edges between nodes result in dyadic exchanges. Each dyadic exchange is analyzed as a contractual agreement that is implemented upon fulfilment of underlying conditions. As these...
Marthie Grobler,Raj Gaire,Surya Nepal
Marthie Grobler
The effectiveness of cyber security measures are often questioned in the wake of hard hitting security events. Despite much work being done in the field of cyber security, most of the focus seems to be concentrated on system usage. In this ...
Named Data Networking for Genomics Data Management and Integrated Workflows [0.03%]
基于命名数据网络的基因组学数据管理与集成工作流研究进展
Cameron Ogle,David Reddick,Coleman McKnight et al.
Cameron Ogle et al.
Advanced imaging and DNA sequencing technologies now enable the diverse biology community to routinely generate and analyze terabytes of high resolution biological data. The community is rapidly heading toward the petascale in single invest...
Corrigendum: FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques [0.03%]
FoodKG：一种利用机器学习技术丰富知识图谱的工具（勘误）
Mohamed Gharibi,Arun Zachariah,Praveen Rao
Mohamed Gharibi
[This corrects the article DOI: 10.3389/fdata.2020.00012.]. Keywords: AGROVOC; graph embeddings; knowledge g...
Published Erratum
Frontiers in big data. 2020 Jun 10:3:21. DOI:10.3389/fdata.2020.00021 2020
What Do You Think About Your Company's Leaks? A Survey on End-Users Perception Toward Data Leakage Mechanisms [0.03%]
关于公司泄密，你了解多少？一项关于终端用户对数据泄露机制认知的调查
Yoann Bertrand,Karima Boudaoud,Michel Riveill
Yoann Bertrand
Data leakage can lead to severe issues for a company, including financial loss, damage of goodwill, reputation, lawsuits and loss of future sales. To prevent these problems, a company can use other mechanisms on top of traditional Access Co...