Donatella Firmani,Francesco Leotta,Federica Mandreoli et al.
Donatella Firmani et al.
Fair and Effective Policing for Neighborhood Safety: Understanding and Overcoming Selection Biases [0.03%]
公平有效的社区警务：理解并克服选择偏差
Weijeiying Ren,Kunpeng Liu,Tianxiang Zhao et al.
Weijeiying Ren et al.
An accurate crime prediction and risk estimation can help improve the efficiency and effectiveness of policing activities. However, reports have revealed that biases like racial prejudice could exist in policing enforcement, and trained pre...
Ruwan Wickramarachchi,Cory Henson,Amit Sheth
Ruwan Wickramarachchi
Scene understanding is a key technical challenge within the autonomous driving domain. It requires a deep semantic understanding of the entities and relations found within complex physical and social environments that is both accurate and c...
Fast GPU-Based Generation of Large Graph Networks From Degree Distributions [0.03%]
基于GPU的大规模图网络的快速生成方法
Maksudul Alam,Kalyan Perumalla
Maksudul Alam
Synthetically generated, large graph networks serve as useful proxies to real-world networks for many graph-based applications. The ability to generate such networks helps overcome several limitations of real-world networks regarding their ...
Toon Albers,Elena Lazovik,Mostafa Hadadian Nejad Yousefi et al.
Toon Albers et al.
Distributed data processing systems have become the standard means for big data analytics. These systems are based on processing pipelines where operations on data are performed in a chain of consecutive steps. Normally, the operations perf...
Dragi Kimovski,Roland Mathá,Gabriel Iuhasz et al.
Dragi Kimovski et al.
The execution of complex distributed applications in exascale systems faces many challenges, as it involves empirical evaluation of countless code variations and application runtime parameters over a heterogeneous set of resources. To mitig...
Corrigendum: Statistical Enrichment Analysis of Samples: A General-Purpose Tool to Annotate Metadata Neighborhoods of Biological Samples [0.03%]
勘误：样本的统计富集分析：一种注释生物样本元数据邻近区域的通用工具
Thanh M Nguyen,Samuel Bharti,Zongliang Yue et al.
Thanh M Nguyen et al.
[This corrects the article DOI: 10.3389/fdata.2021.725276.]. Keywords: SEAS; clinotype; glioblastoma multifo...
Published Erratum
Frontiers in big data. 2021 Nov 16:4:804141. DOI:10.3389/fdata.2021.804141 2021
Teeport: Break the Wall Between the Optimization Algorithms and Problems [0.03%]
Teeport：打破优化算法与问题之间的障碍
Zhe Zhang,Xiaobiao Huang,Minghao Song
Zhe Zhang
Optimization algorithms/techniques such as genetic algorithm, particle swarm optimization, and Gaussian process have been widely used in the accelerator field to tackle complex design/online optimization problems. However, connecting the al...
Anomaly Detection for the Centralised Elasticsearch Service at CERN [0.03%]
欧洲核子研究中心集中Elasticsearch服务的异常检测
Jennifer R Andersson,Jose Alonso Moya,Ulrich Schwickerath
Jennifer R Andersson
For several years CERN has been offering a centralised service for Elasticsearch, a popular distributed system for search and analytics of user provided data. The service offered by CERN IT is better described as a service of services, deli...
The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers? [0.03%]
新老之争：物理信息深度学习能否取代传统线性方程求解器？
Stefano Markidis
Stefano Markidis
Physics-Informed Neural Networks (PINN) are neural networks encoding the problem governing equations, such as Partial Differential Equations (PDE), as a part of the neural network. PINNs have emerged as a new essential tool to solve various...