Association vs. Prediction: The Impact of Cortical Surface Smoothing and Parcellation on Brain Age [0.03%]
关联与预测：皮层表面平滑和划分对脑年龄的影响
Yashar Zeighami,Alan C Evans
Yashar Zeighami
Association and prediction studies of the brain target the biological consequences of aging and their impact on brain function. Such studies are conducted using different smoothing levels and parcellations at the preprocessing stage, on whi...
Proving the Correctness of Knowledge Graph Update: A Scenario From Surveillance of Adverse Childhood Experiences [0.03%]
论证实证儿童经历监视中的知识图更新的正确性
Jon Haël Brenas,Arash Shaban-Nejad
Jon Haël Brenas
Knowledge graphs are a modern way to store information. However, the knowledge they contain is not static. Instances of various classes may be added or deleted and the semantic relationship between elements might evolve as well. When such c...
Detecting Group Anomalies in Tera-Scale Multi-Aspect Data via Dense-Subtensor Mining [0.03%]
基于密集子张量挖掘的tera级多方面群体异常检测
Kijung Shin,Bryan Hooi,Jisu Kim et al.
Kijung Shin et al.
How can we detect fraudulent lockstep behavior in large-scale multi-aspect data (i.e., tensors)? Can we detect it when data are too large to fit in memory or even on a disk? Past studies have shown that dense subtensors in real-world tensor...
Data-Driven Computational Social Network Science: Predictive and Inferential Models for Web-Enabled Scientific Discoveries [0.03%]
数据驱动的计算社会科学：网络赋能科学发现的预测和推断模型
Frank Emmert-Streib,Matthias Dehmer
Frank Emmert-Streib
The ultimate goal of the social sciences is to find a general social theory encompassing all aspects of social and collective phenomena. The traditional approach to this is very stringent by trying to find causal explanations and models. Ho...
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...