Man Li,Ye Zhu,Yuxin Shen et al.
Man Li et al.
In recent years, artificial intelligence technologies have been successfully applied in time series prediction and analytic tasks. At the same time, a lot of attention has been paid to financial time series prediction, which targets the dev...
Leverage knowledge graph and GCN for fine-grained-level clickbait detection [0.03%]
利用知识图谱和GCN进行细粒度点击诱饵检测
Mengxi Zhou,Wei Xu,Wenping Zhang et al.
Mengxi Zhou et al.
Clickbait is the use of an enticing title as bait to deceive users to click. However, the corresponding content is often disappointing, infuriating or even deceitful. This practice has brought serious damage to our social trust, especially ...
Identifying informative tweets during a pandemic via a topic-aware neural language model [0.03%]
基于主题感知神经语言模型的识别流感大流行期间有效推文的方法
Wang Gao,Lin Li,Xiaohui Tao et al.
Wang Gao et al.
Every epidemic affects the real lives of many people around the world and leads to terrible consequences. Recently, many tweets about the COVID-19 pandemic have been shared publicly on social media platforms. The analysis of these tweets is...
Automated post scoring: evaluating posts with topics and quoted posts in online forum [0.03%]
自动发帖评分：带话题和引用帖子的在线论坛发帖评估
Ruosong Yang,Jiannong Cao,Zhiyuan Wen et al.
Ruosong Yang et al.
Online forumpost evaluationis an effective way for instructors to assess students' knowledge understanding and writing mechanics. Manually evaluating massive posts costs a lot of time. Automatically grading online posts could significantly ...
Event prediction from news text using subgraph embedding and graph sequence mining [0.03%]
基于子图嵌入和图序列挖掘的事件预测方法研究
Recep Firat Cekinel,Pinar Karagoz
Recep Firat Cekinel
Event detection from textual content by using text mining concepts is a well-researched field in the literature. On the other hand, graph modeling and graph embedding techniques in recent years provide an opportunity to represent textual co...
Sentiment analysis and topic modeling for COVID-19 vaccine discussions [0.03%]
关于COVID-19疫苗讨论的情绪分析和主题建模
Hui Yin,Xiangyu Song,Shuiqiao Yang et al.
Hui Yin et al.
The outbreak of the novel coronavirus disease (COVID-19) has been ongoing for almost two years and has had an unprecedented impact on the daily lives of people around the world. More recently, the emergence of the Delta variant of COVID-19 ...
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media [0.03%]
基于混合深度学习模型的社交媒体抑郁症检测及其解释（多特征视角）
Hamad Zogan,Imran Razzak,Xianzhi Wang et al.
Hamad Zogan et al.
The ability to explain why the model produced results in such a way is an important problem, especially in the medical domain. Model explainability is important for building trust by providing insight into the model prediction. However, mos...
CrowdMed-II: a blockchain-based framework for efficient consent management in health data sharing [0.03%]
基于区块链的高效健康数据共享框架 CrowdMed-II
Chaochen Hu,Chao Li,Guigang Zhang et al.
Chaochen Hu et al.
The healthcare industry faces serious problems with health data. Firstly, health data is fragmented and its quality needs to be improved. Data fragmentation means that it is difficult to integrate the patient data stored by multiple health ...
A lightweight automatic sleep staging method for children using single-channel EEG based on edge artificial intelligence [0.03%]
基于边缘人工智能的单通道EEG儿童睡眠自动分期方法
Liqiang Zhu,Changming Wang,Zhihui He et al.
Liqiang Zhu et al.
With the development of telemedicine and edge computing, edge artificial intelligence (AI) will become a new development trend for smart medicine. On the other hand, nearly one-third of children suffer from sleep disorders. However, all exi...
Mohammad Naiseh,Dena Al-Thani,Nan Jiang et al.
Mohammad Naiseh et al.
Human-AI collaborative decision-making tools are being increasingly applied in critical domains such as healthcare. However, these tools are often seen as closed and intransparent for human decision-makers. An essential requirement for thei...