Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data [0.03%]
基于大众众包地理标记数据的城市居住区活力测评
Pengyang Wang,Kunpeng Liu,Dongjie Wang et al.
Pengyang Wang et al.
The pervasiveness of mobile and sensing technologies today has facilitated the creation of Big Crowdsourced Geotagged Data (BCGD) from individual users in real time and at different locations in the city. Such ubiquitous user-generated data...
CutLang v2: Advances in a Runtime-Interpreted Analysis Description Language for HEP Data [0.03%]
CutLang v2：用于HEP数据的运行时解释分析描述语言的发展
G Unel,S Sekmen,A M Toon et al.
G Unel et al.
We will present the latest developments in CutLang, the runtime interpreter of a recently-developed analysis description language (ADL) for collider data analysis. ADL is a domain-specific, declarative language that describes the contents o...
Development of An Individualized Risk Prediction Model for COVID-19 Using Electronic Health Record Data [0.03%]
基于电子健康记录数据的个体化新冠肺炎风险预测模型构建研究
Tarun Karthik Kumar Mamidi,Thi K Tran-Nguyen,Ryan L Melvin et al.
Tarun Karthik Kumar Mamidi et al.
Developing an accurate and interpretable model to predict an individual's risk for Coronavirus Disease 2019 (COVID-19) is a critical step to efficiently triage testing and other scarce preventative resources. To aid in this effort, we have ...
Enterprise Integration and Interoperability for Big Data-Driven Processes in the Frame of Industry 4.0 [0.03%]
工业4.0背景下大数据驱动过程的企业集成与互操作性
Alexandros Bousdekis,Gregoris Mentzas
Alexandros Bousdekis
Traditional manufacturing businesses lack the standards, skills, processes, and technologies to meet today's challenges of Industry 4.0 driven by an interconnected world. Enterprise Integration and Interoperability can ensure efficient comm...
A World Full of Stereotypes? Further Investigation on Origin and Gender Bias in Multi-Lingual Word Embeddings [0.03%]
充满偏见的世界吗？多语言词嵌入中的偏见问题进一步研究
Mascha Kurpicz-Briki,Tomaso Leoni
Mascha Kurpicz-Briki
Publicly available off-the-shelf word embeddings that are often used in productive applications for natural language processing have been proven to be biased. We have previously shown that this bias can come in different forms, depending on...
Alton M K Chew,Dinesh Visva Gunasekeran
Alton M K Chew
Shahad Althobaiti,Saud Alghumayjan,Morgan R Frank et al.
Shahad Althobaiti et al.
In the United States (US), low-income workers are being pushed away from city centers where the cost of living is high. The effects of such changes on labor mobility and housing price have been explored in the literature. However, few studi...
Interpretability of Machine Learning Solutions in Public Healthcare: The CRISP-ML Approach [0.03%]
公共医疗领域中的机器学习解方案的可解释性：CRISP-ML方法
Inna Kolyshkina,Simeon Simoff
Inna Kolyshkina
Public healthcare has a history of cautious adoption for artificial intelligence (AI) systems. The rapid growth of data collection and linking capabilities combined with the increasing diversity of the data-driven AI techniques, including m...
Search Engine Gender Bias [0.03%]
搜索引擎性别偏见
Fons Wijnhoven,Jeanna van Haren
Fons Wijnhoven
This article discusses possible search engine page rank biases as a consequence of search engine profile information. After describing search engine biases, their causes, and their ethical implications, we present data about the Google sear...
Developing an Explainable Machine Learning-Based Personalised Dementia Risk Prediction Model: A Transfer Learning Approach With Ensemble Learning Algorithms [0.03%]
基于可解释机器学习的个性化痴呆症风险预测模型的发展：一种使用集成学习算法的迁移学习方法
Samuel O Danso,Zhanhang Zeng,Graciela Muniz-Terrera et al.
Samuel O Danso et al.
Alzheimer's disease (AD) has its onset many decades before dementia develops, and work is ongoing to characterise individuals at risk of decline on the basis of early detection through biomarker and cognitive testing as well as the presence...