Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery [0.03%]
数据挖掘与知识发现的创新与发展展望
Naoki Abe,Huan Liu,Kuansan Wang
Naoki Abe
Muhammad Ifte Islam,Farhan Tanvir,Ginger Johnson et al.
Muhammad Ifte Islam et al.
Network embedding that encodes structural information of graphs into a low-dimensional vector space has been proven to be essential for network analysis applications, including node classification and community detection. Although recent me...
GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments [0.03%]
用于中微子实验计算的基于GPU的机器学习推理即服务
Michael Wang,Tingjun Yang,Maria Acosta Flechas et al.
Michael Wang et al.
Machine learning algorithms are becoming increasingly prevalent and performant in the reconstruction of events in accelerator-based neutrino experiments. These sophisticated algorithms can be computationally expensive. At the same time, the...
A Policy and Practice Review of Consumer Protections and Their Application to Hospital-Sourced Data Aggregation and Analytics by Third-Party Companies [0.03%]
第三方公司收集和分析医院数据的消费者保护政策与实践回顾
Vasiliki Rahimzadeh
Vasiliki Rahimzadeh
The Office of the National Coordinator for Health Information Technology estimates that 96% of all U.S. hospitals use a basic electronic health record, but only 62% are able to exchange health information with outside providers. Barriers to...
Heterogeneous Reconstruction of Tracks and Primary Vertices With the CMS Pixel Tracker [0.03%]
基于CMS像素探测器的径迹和初级顶点的异构重建
A Bocci,V Innocente,M Kortelainen et al.
A Bocci et al.
The High-Luminosity upgrade of the Large Hadron Collider (LHC) will see the accelerator reach an instantaneous luminosity of 7 × 1034 cm-2 s-1 with an average pileup of 200 proton-proton collisions. These conditions will pose an unpreceden...
Entropy of Co-Enrolment Networks Reveal Disparities in High School STEM Participation [0.03%]
基于共注册网络的熵揭示了高中STEM参与的差异性
Steven Martin Turnbull,Dion R J O&#x;Neale
Steven Martin Turnbull
The current study uses a network analysis approach to explore the STEM pathways that students take through their final year of high school in Aotearoa New Zealand. By accessing individual-level microdata from New Zealand's Integrated Data I...
Monitoring Crop Status in the Continental United States Using the SMAP Level-4 Carbon Product [0.03%]
基于SMAP四级碳产品监测美国本土农作物生长状况
Patrick M Wurster,Marco Maneta,John S Kimball et al.
Patrick M Wurster et al.
Accurate monitoring of crop condition is critical to detect anomalies that may threaten the economic viability of agriculture and to understand how crops respond to climatic variability. Retrievals of soil moisture and vegetation informatio...
Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction [0.03%]
无偏预训练模型预测的子群不变扰动方法
Puspita Majumdar,Saheb Chhabra,Richa Singh et al.
Puspita Majumdar et al.
Modern deep learning systems have achieved unparalleled success and several applications have significantly benefited due to these technological advancements. However, these systems have also shown vulnerabilities with strong implications o...
Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security [0.03%]
基于云的机器学习安全：系统性回顾
Adnan Qayyum,Aneeqa Ijaz,Muhammad Usama et al.
Adnan Qayyum et al.
With the advances in machine learning (ML) and deep learning (DL) techniques, and the potency of cloud computing in offering services efficiently and cost-effectively, Machine Learning as a Service (MLaaS) cloud platforms have become popula...
Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome [0.03%]
用于预测急性呼吸衰竭和急性呼吸窘迫综合征的机器学习方法
An-Kwok Ian Wong,Patricia C Cheung,Rishikesan Kamaleswaran et al.
An-Kwok Ian Wong et al.
Acute respiratory failure (ARF) is a common problem in medicine that utilizes significant healthcare resources and is associated with high morbidity and mortality. Classification of acute respiratory failure is complicated, and it is often ...