Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities [0.03%]
人工智能的跨学科研究：挑战与机遇
Remy Kusters,Dusan Misevic,Hugues Berry et al.
Remy Kusters et al.
The use of artificial intelligence (AI) in a variety of research fields is speeding up multiple digital revolutions, from shifting paradigms in healthcare, precision medicine and wearable sensing, to public services and education offered to...
The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions [0.03%]
基于贝叶斯可加回归树的 intraocular 镜片安全预测公式
Gerald P Clarke,Adam Kapelner
Gerald P Clarke
Purpose: Our work introduces a highly accurate, safe, and sufficiently explicable machine-learning (artificial intelligence) model of intraocular lens power (IOL) translating into better post-surgical outcomes for patients with cataracts. W...
Ian McCulloh,Kevin Kiernan,Trevor Kent
Ian McCulloh
The novel coronavirus, SARS-CoV-2, commonly known as COVID19 has become a global pandemic in early 2020. The world has mounted a global social distancing intervention on a scale thought unimaginable prior to this outbreak; however, the econ...
CADRE: A Collaborative, Cloud-Based Solution for Big Bibliographic Data Research in Academic Libraries [0.03%]
CADRE：学术图书馆中大型文献数据研究的协作云解决方案
Patricia L Mabry,Xiaoran Yan,Valentin Pentchev et al.
Patricia L Mabry et al.
Big bibliographic datasets hold promise for revolutionizing the scientific enterprise when combined with state-of-the-science computational capabilities. Yet, hosting proprietary and open big bibliographic datasets poses significant difficu...
The Human Blood Transcriptome in a Large Population Cohort and Its Relation to Aging and Health [0.03%]
来自大规模队列的人类血液转录组及其与衰老和健康的关系
Maria Schmidt,Lydia Hopp,Arsen Arakelyan et al.
Maria Schmidt et al.
Background: The blood transcriptome is expected to provide a detailed picture of an organism's physiological state with potential outcomes for applications in medical diagnostics and molecular and epidemiological research. We here present t...
The Role of Cue Utilization and Cognitive Load in the Recognition of Phishing Emails [0.03%]
有关钓鱼邮件认知的线索利用和认知负荷的作用研究
George Nasser,Ben W Morrison,Piers Bayl-Smith et al.
George Nasser et al.
Phishing emails represent a major threat to online information security. While the prevailing research is focused on users' susceptibility, few studies have considered the decision-making strategies that account for skilled detection. One r...
Nandini Ramanan,Sriraam Natarajan
Nandini Ramanan
We consider the problem of learning structured causal models from observational data. In this work, we use causal Bayesian networks to represent causal relationships among model variables. To this effect, we explore the use of two types of ...
Identifying Clinical and Genomic Features Associated With Chronic Kidney Disease [0.03%]
与慢性肾脏疾病相关的临床和基因组特征的识别研究
M Megan Moreno,Travaughn C Bain,Melissa S Moreno et al.
M Megan Moreno et al.
We apply a pattern-based classification method to identify clinical and genomic features associated with the progression of Chronic Kidney disease (CKD). We analyze the African-American Study of Chronic Kidney disease with Hypertension data...
Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region [0.03%]
一种集合机器学习方法可改善数据匮乏的北方地区表层土壤有机碳储量预测空间变异性的研究
Umakant Mishra,Sagar Gautam,William J Riley et al.
Umakant Mishra et al.
Various approaches of differing mathematical complexities are being applied for spatial prediction of soil properties. Regression kriging is a widely used hybrid approach of spatial variation that combines correlation between soil propertie...
Giovanni Abbiati,Silvio Ranise,Antonio Schizzerotto et al.
Giovanni Abbiati et al.
Providing an adequate assessment of their cyber-security posture requires companies and organisations to collect information about threats from a wide range of sources. One of such sources is history, intended as the knowledge about past cy...