Observation-based assessment of secondary water effects on seasonal vegetation decay across Africa [0.03%]
基于观测的二次水资源对非洲季节性植被衰减的影响评估
Çağlar Küçük,Sujan Koirala,Nuno Carvalhais et al.
Çağlar Küçük et al.
Local studies and modeling experiments suggest that shallow groundwater and lateral redistribution of soil moisture, together with soil properties, can be highly important secondary water sources for vegetation in water-limited ecosystems. ...
The ethics of AI-assisted warfighter enhancement research and experimentation: Historical perspectives and ethical challenges [0.03%]
人工智能辅助战斗人员增强研究与试验的伦理学：历史视角和伦理挑战
Jonathan Moreno,Michael L Gross,Jack Becker et al.
Jonathan Moreno et al.
The military applications of AI raise myriad ethical challenges. Critical among them is how AI integrates with human decision making to enhance cognitive performance on the battlefield. AI applications range from augmented reality devices t...
SemNet: Learning semantic attributes for human activity recognition with deep belief networks [0.03%]
基于深度信念网络的人体行为识别的语义属性学习
Shanmuga Venkatachalam,Harideep Nair,Ming Zeng et al.
Shanmuga Venkatachalam et al.
Human Activity Recognition (HAR) is a prominent application in mobile computing and Internet of Things (IoT) that aims to detect human activities based on multimodal sensor signals generated as a result of diverse body movements. Human phys...
Andrea Polonioli
Andrea Polonioli
Zero Party Data (ZPD) is a hot topic in the context of privacy-aware personalization, as the exponential growth of consumer data collected by retailers has made safeguarding data privacy a key priority. Articles arguing for the value of ZPD...
Lessons learned: A neuroimaging research center's transition to open and reproducible science [0.03%]
所学的经验：一个神经影像研究中心向开放可重复科学的转变
Keith A Bush,Maegan L Calvert,Clinton D Kilts
Keith A Bush
Human functional neuroimaging has evolved dramatically in recent years, driven by increased technical complexity and emerging evidence that functional neuroimaging findings are not generally reproducible. In response to these trends, neuroi...
Toward data lakes as central building blocks for data management and analysis [0.03%]
以数据湖作为数据管理和分析的核心构建块
Philipp Wieder,Hendrik Nolte
Philipp Wieder
Data lakes are a fundamental building block for many industrial data analysis solutions and becoming increasingly popular in research. Often associated with big data use cases, data lakes are, for example, used as central data management sy...
Past efforts in determining suitable normalization methods for multi-criteria decision-making: A short survey [0.03%]
多准则决策制定的规范化方法的过去研究进展：简短综述
Anath Rau Krishnan
Anath Rau Krishnan
The use of a multi-criteria decision-making (MCDM) technique mostly begins with normalizing the incommensurable data values in the decision matrix. Numerous normalization methods are available in the literature and applying different normal...
A multimodal clinical data resource for personalized risk assessment of sudden unexpected death in epilepsy [0.03%]
一种多模态临床数据资源，用于评估癫痫意外死亡的个性化风险
Xiaojin Li,Shiqiang Tao,Samden D Lhatoo et al.
Xiaojin Li et al.
Epilepsy affects ~2-3 million individuals in the United States, a third of whom have uncontrolled seizures. Sudden unexpected death in epilepsy (SUDEP) is a catastrophic and fatal complication of poorly controlled epilepsy and is the primar...
The semi-automatic classification of an open-ended question on panel survey motivation and its application in attrition analysis [0.03%]
开放式问卷的半自动分类及其在样本流失分析中的应用——以居民调查动机问题为例
Anna-Carolina Haensch,Bernd Weiß,Patricia Steins et al.
Anna-Carolina Haensch et al.
In this study, we demonstrate how supervised learning can extract interpretable survey motivation measurements from a large number of responses to an open-ended question. We manually coded a subsample of 5,000 responses to an open-ended que...
Do we behave differently on Twitter and Facebook: Multi-view social network user personality profiling for content recommendation [0.03%]
基于多视角社交网络的用户人格画像及其在内容推荐中的应用研究
Qi Yang,Aleksandr Farseev,Sergey Nikolenko et al.
Qi Yang et al.
Human personality traits are key drivers behind our decision making, influencing our lives on a daily basis. Inference of personality traits, such as the Myers-Briggs personality type, as well as an understanding of dependencies between per...