Identifying clinical feature clusters toward predicting stroke in patients with asymptomatic carotid stenosis [0.03%]
识别无症状颈动脉狭窄患者中用于预测脑卒中的临床特征簇
David Xu,Sanaz Matinmehr,Alan Sawchuk et al.
David Xu et al.
Despite the widespread application of machine learning models and feature selection methods to identify important clinical features in electronic health records (EHR) for disease prediction, the use of graph neural networks (GNNs) to uncove...
Narratives from GPT-derived networks of news and a link to financial markets dislocations [0.03%]
基于GPT的新闻网络叙事与金融市场异常链接分析
Deborah Miori,Constantin Petrov
Deborah Miori
We introduce a novel framework to study the dynamics of news narratives, by leveraging GPT3.5 advanced text analysis capabilities and graph theory. In particular, we focus on a corpus of economic articles from The Wall Street Journal and dy...
Erich Kummerfeld,Leland Williams,Sisi Ma
Erich Kummerfeld
Causal discovery algorithms have the potential to impact many fields of science. However, substantial foundational work on the statistical properties of causal discovery algorithms is still needed. This paper presents what is to our knowled...
Analyzing international airtime top-up transfers for migration and mobility [0.03%]
基于国际电话卡充值的迁移与流动性分析
Bilgeçağ Aydoğdu,Hanif Samad,Shiqi Bai et al.
Bilgeçağ Aydoğdu et al.
International airtime top-up transfers enable prepaid mobile phone users to send top-ups and data bundles to users in other countries, as well as make payments, in real time. These are heavily used by migrants to financially assist their fa...
Nina Errey,Jie Liang,Tuck Wah Leong et al.
Nina Errey et al.
Narrative visualization is characterized by the integration of data visualization and storytelling techniques. These characteristics provide challenges in its evaluation. Little is known about how these evaluation challenges are addressed b...
Fake news detection: deep semantic representation with enhanced feature engineering [0.03%]
基于增强特征工程的假新闻检测：深度语义表示方法
Mohammadreza Samadi,Saeedeh Momtazi
Mohammadreza Samadi
Due to the widespread use of social media, people are exposed to fake news and misinformation. Spreading fake news has adverse effects on both the general public and governments. This issue motivated researchers to utilize advanced natural ...
AI and data science for smart emergency, crisis and disaster resilience [0.03%]
人工智能与数据科学在智慧应急、危机和灾害中的韧性应用
Longbing Cao
Longbing Cao
The uncertain world has seen increasing emergencies, crises and disasters (ECDs), such as the COVID-19 pandemic, hurricane Ian, global financial inflation and recession, misinformation disaster, and cyberattacks. AI for smart disaster resil...
Xuan Guo,Qi Yu,Rui Li et al.
Xuan Guo et al.
Image grouping in knowledge-rich domains is challenging, since domain knowledge and human expertise are key to transform image pixels into meaningful content. Manually marking and annotating images is not only labor-intensive but also ineff...
A new one-parameter discrete probability distribution with its neutrosophic extension: mathematical properties and applications [0.03%]
具有其中性扩展的新一参数离散概率分布：数学性质及应用
Muhammad Ahsan-Ul-Haq,Javeria Zafar
Muhammad Ahsan-Ul-Haq
Count data modeling's significance and its applicability to real-world occurrences have been emphasized in a number of research studies. The purpose of this work is to introduce a new one-parameter discrete distribution for the modeling of ...
Generalization of the Lindley distribution with application to COVID-19 data [0.03%]
Lindley分布的推广及其在COVID-19数据中的应用
C S Rajitha,A Akhilnath
C S Rajitha
Creating new distributions with more desired and flexible qualities for modeling lifetime data has resulted in a concentrated effort to modify or generalize existing distributions. In this paper, we propose a new distribution called the pow...