The effects of long COVID-19, its severity, and the need for immediate attention: Analysis of clinical trials and Twitter data [0.03%]
长新冠的影响，其严重性以及需要立即关注的需求：临床试验和推特数据分析
Arinjita Bhattacharyya,Anand Seth,Shesh Rai
Arinjita Bhattacharyya
Background: The coronavirus disease 2019 (COVID-19) has been declared a pandemic since March 2020 by the World Health Organization; identifying the disease progression, predicting patient outcomes early, the possibility o...
Rubayet Bin Mostafiz,Md Adilur Rahim,Carol J Friedland et al.
Rubayet Bin Mostafiz et al.
Model output of localized flood grids are useful in characterizing flood hazards for properties located in the Special Flood Hazard Area (SFHA-areas expected to experience a 1% or greater annual chance of flooding). However, due to the unav...
Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis [0.03%]
生活方式对全球痴呆症发病率影响的解释性人工智能分析
Loredana Bellantuono,Alfonso Monaco,Nicola Amoroso et al.
Loredana Bellantuono et al.
Introduction: Dementia is an umbrella term indicating a group of diseases that affect the cognitive sphere. Dementia is not a mere individual health issue, since its interference with the ability to carry out daily activi...
Patrick Taylor Smith
Patrick Taylor Smith
This paper offers a novel understanding of collective responsibility for AI outcomes that can help resolve the "problem of many hands" and "responsibility gaps" when it comes to AI failure, especially in the context of lethal autonomous wea...
Exploring the use of topological data analysis to automatically detect data quality faults [0.03%]
探索使用拓扑数据分析来自动检测数据质量故障
M Eduard Tudoreanu
M Eduard Tudoreanu
Data quality problems may occur in various forms in structured and semi-structured data sources. This paper details an unsupervised method of analyzing data quality that is agnostic to the semantics of the data, the format of the encoding, ...
Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon [0.03%]
利用Facebook广告数据来描述黎巴嫩叙利亚难民的经济社会状况
Masoomali Fatehkia,Zinnya Del Villar,Till Koebe et al.
Masoomali Fatehkia et al.
While the fighting in the Syrian civil war has mostly stopped, an estimated 5.6 million Syrians remain living in neighboring countries. Of these, an estimated 1.5 million are sheltering in Lebanon. Ongoing efforts by organizations such as U...
David Pastor-Escuredo,Andrea Gardeazabal,Jawoo Koo et al.
David Pastor-Escuredo et al.
Future societal systems will be characterized by heterogeneous human behaviors and data-driven collective action. Complexity will arise as a consequence of the 5th Industrial Revolution and 2nd Data Revolution possible, thanks to a new gene...
Natural and Artificial Dynamics in Graphs: Concept, Progress, and Future [0.03%]
图中的自然动力学与人工动力学：概念、进展和未来方向
Dongqi Fu,Jingrui He
Dongqi Fu
Graph structures have attracted much research attention for carrying complex relational information. Based on graphs, many algorithms and tools are proposed and developed for dealing with real-world tasks such as recommendation, fraud detec...
Ravdeep S Pasricha,Ekta Gujral,Evangelos E Papalexakis
Ravdeep S Pasricha
Data collected at very frequent intervals is usually extremely sparse and has no structure that is exploitable by modern tensor decomposition algorithms. Thus, the utility of such tensors is low, in terms of the amount of interpretable and ...
Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data [0.03%]
通过Facebook广告数据映射发展中国家城市社会经济不平等状况
Simone Piaggesi,Serena Giurgola,Márton Karsai et al.
Simone Piaggesi et al.
Ending poverty in all its forms everywhere is the number one Sustainable Development Goal of the UN 2030 Agenda. To monitor the progress toward such an ambitious target, reliable, up-to-date and fine-grained measurements of socioeconomic in...