Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare [0.03%]
评论：医疗保健中的机器学习和AI的安全性、有效性和可解释性
David Benrimoh,Sonia Israel,Robert Fratila et al.
David Benrimoh et al.
Tom Willaert,Paul Van Eecke,Jeroen Van Soest et al.
Tom Willaert et al.
With more and more voices and opinions entering the public domain, a key challenge facing journalists and editors is maximizing the context of the information that is presented on news websites. In this paper, we argue that systems for expo...
Sebastian Jäger,Arndt Allhorn,Felix Bießmann
Sebastian Jäger
With the increasing importance and complexity of data pipelines, data quality became one of the key challenges in modern software applications. The importance of data quality has been recognized beyond the field of data engineering and data...
Marginalizing the Mainstream: How Social Media Privilege Political Information [0.03%]
社交媒体边缘化主流信息：社交媒体如何使政治信息获得特权
Richard Rogers
Richard Rogers
The following reports on research undertaken concerning the "misinformation problem" on social media during the run-up to the U.S. presidential elections in 2020. Employing techniques borrowed from data journalism, it develops a form of cro...
Cristian Bodnar,Cătălina Cangea,Pietro Liò
Cristian Bodnar
Graph summarization has received much attention lately, with various works tackling the challenge of defining pooling operators on data regions with arbitrary structures. These contrast the grid-like ones encountered in image inputs, where ...
Moral Expressions in 280 Characters or Less: An Analysis of Politician Tweets Following the 2016 Brexit Referendum Vote [0.03%]
道德表达的280个字符或更少：对2016年英国脱欧公投后政客推特的分析
Livia van Vliet
Livia van Vliet
Ideas about morality are deeply entrenched into political opinions. This article examines the online communication of British parliamentarians from May 2017-December 2019, following the 2016 referendum that resulted in Britain's exit (Brexi...
Vaishak Belle,Ioannis Papantonis
Vaishak Belle
Artificial intelligence (AI) provides many opportunities to improve private and public life. Discovering patterns and structures in large troves of data in an automated manner is a core component of data science, and currently drives applic...
Editorial: Heterogeneous Computing for AI and Big Data in High Energy Physics [0.03%]
观点：高能物理中的人工智能和大数据的异构计算
Daniele D&#x;Agostino,Daniele Cesini
Daniele D&#x;Agostino
Michael Platzer,Thomas Reutterer
Michael Platzer
AI-based data synthesis has seen rapid progress over the last several years and is increasingly recognized for its promise to enable privacy-respecting high-fidelity data sharing. This is reflected by the growing availability of both commer...
Jennifer Sleeman,Tim Finin,Milton Halem
Jennifer Sleeman
Cybersecurity threats continue to increase and are impacting almost all aspects of modern life. Being aware of how vulnerabilities and their exploits are changing gives helpful insights into combating new threats. Applying dynamic topic mod...