Minh-Tri Nguyen,Thin Nguyen,Truyen Tran
Minh-Tri Nguyen
Discovering new medicines is the hallmark of the human endeavor to live a better and longer life. Yet the pace of discovery has slowed down as we need to venture into more wildly unexplored biomedical space to find one that matches today's ...
Agenda-Setting for COVID-19: A Study of Large-Scale Economic News Coverage Using Natural Language Processing [0.03%]
基于自然语言处理的新冠肺炎疫情下的经济议程设置研究——大规模新闻报道的实证分析
Guang Lu,Martin Businger,Christian Dollfus et al.
Guang Lu et al.
Over the past two years, organizations and businesses have been forced to constantly adapt and develop effective responses to the challenges of the COVID-19 pandemic. The acuteness, global scale and intense dynamism of the situation make on...
Shaina Raza,Deepak John Reji,Chen Ding
Shaina Raza
Because of the increasing use of data-centric systems and algorithms in machine learning, the topic of fairness is receiving a lot of attention in the academic and broader literature. This paper introduces Dbias (https://pypi.org/project/Db...
From data to interpretable models: machine learning for soil moisture forecasting [0.03%]
从数据到可解释模型：土壤水分预测的机器学习方法
Aniruddha Basak,Kevin M Schmidt,Ole Jakob Mengshoel
Aniruddha Basak
Soil moisture is critical to agricultural business, ecosystem health, and certain hydrologically driven natural disasters. Monitoring data, though, is prone to instrumental noise, wide ranging extrema, and nonstationary response to rainfall...
Bharathi Raja Chakravarthi
Bharathi Raja Chakravarthi
Recent work on language technology has aimed to identify negative language such as hate speech and cyberbullying as well as improve offensive language detection to mediate social media platforms. Most of these systems rely on using machine ...
Salma Sassi,Mirjana Ivanovic,Richard Chbeir et al.
Salma Sassi et al.
Collective intelligence and Knowledge Exploration (CI and KE) have been adopted to solve many problems. They are particularly used by companies as a support for innovation to efficiently obtain usable results. CI is usually defined as a gro...
Minyu Wan,Qi Su,Rong Xiang et al.
Minyu Wan et al.
The rampant of COVID-19 infodemic has almost been simultaneous with the outbreak of the pandemic. Many concerted efforts are made to mitigate its negative effect to information credibility and data legitimacy. Existing work mainly focuses o...
Exo-SIR: an epidemiological model to analyze the impact of exogenous spread of infection [0.03%]
外源性感染传播流行病学模型_exo-sir
Nirmal Kumar Sivaraman,Manas Gaur,Shivansh Baijal et al.
Nirmal Kumar Sivaraman et al.
Epidemics like Covid-19 and Ebola have impacted people's lives significantly. The impact of mobility of people across the countries or states in the spread of epidemics has been significant. The spread of disease due to factors local to the...
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire [0.03%]
新冠疫情和5G阴谋论：“数字森林大火”的长期观察研究
Johannes Langguth,Petra Filkuková,Stefan Brenner et al.
Johannes Langguth et al.
The COVID-19 pandemic has severely affected the lives of people worldwide, and consequently, it has dominated world news since March 2020. Thus, it is no surprise that it has also been the topic of a massive amount of misinformation, which ...
Anastasia Giachanou,Xiuzhen Zhang,Alberto Barrón-Cedeño et al.
Anastasia Giachanou et al.
Recent years have seen a tremendous increase in the propagation of different types of misinformation and disinformation, including among others fake news, rumours, clickbait and conspiracy theories. Misinformation involved in satire and cli...