Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network [0.03%]
基于词汇共现网络的社区发现挖掘扁平和层次主题研究
Eric Austin,Shraddha Makwana,Amine Trabelsi et al.
Eric Austin et al.
Topic modeling aims to discover latent themes in collections of text documents. It has various applications across fields such as sociology, opinion analysis, and media studies. In such areas, it is essential to have easily interpretable, d...
Changhao Zhu,Junzhe Li,Ziyue Zhong et al.
Changhao Zhu et al.
The success of blockchain technology in cryptocurrencies reveals its potential in the data management field. Recently, there is a trend in the database community to integrate blockchains and traditional databases to obtain security, efficie...
Multi-Model Fusion-Based Hierarchical Extraction for Chinese Epidemic Event [0.03%]
基于多模型融合的中文疫情事件分层抽取
Zenghua Liao,Zongqiang Yang,Peixin Huang et al.
Zenghua Liao et al.
In recent years, Coronavirus disease 2019 (COVID-19) has become a global epidemic, and some efforts have been devoted to tracking and controlling its spread. Extracting structured knowledge from involved epidemic case reports can inform the...
Dimensionality Reduction in Surrogate Modeling: A Review of Combined Methods [0.03%]
替代模型中的降维：结合方法综述
Chun Kit Jeffery Hou,Kamran Behdinan
Chun Kit Jeffery Hou
Surrogate modeling has been popularized as an alternative to full-scale models in complex engineering processes such as manufacturing and computer-assisted engineering. The modeling demand exponentially increases with complexity and number ...
Leixian Shen,Enya Shen,Zhiwei Tai et al.
Leixian Shen et al.
General visualization recommendation systems typically make design decisions for the dataset automatically. However, most of them can only prune meaningless visualizations but fail to recommend targeted results. This paper contributes TaskV...
Haixia Wu,Chunyao Song,Yao Ge et al.
Haixia Wu et al.
Complex networks have been used widely to model a large number of relationships. The outbreak of COVID-19 has had a huge impact on various complex networks in the real world, for example global trade networks, air transport networks, and ev...
Image Preprocessing in Classification and Identification of Diabetic Eye Diseases [0.03%]
糖尿病眼病分类与识别的图像预处理方法研究
Rubina Sarki,Khandakar Ahmed,Hua Wang et al.
Rubina Sarki et al.
Diabetic eye disease (DED) is a cluster of eye problem that affects diabetic patients. Identifying DED is a crucial activity in retinal fundus images because early diagnosis and treatment can eventually minimize the risk of visual impairmen...
Rhea Mahajan,Vibhakar Mansotra
Rhea Mahajan
Twitter is one of the most popular micro-blogging and social networking platforms where users post their opinions, preferences, activities, thoughts, views, etc., in form of tweets within the limit of 280 characters. In order to study and a...
Yingxia Shao,Yanyan Shen,Bin Cui et al.
Yingxia Shao et al.
Semi-supervised Adversarial Domain Adaptation for Seagrass Detection Using Multispectral Images in Coastal Areas [0.03%]
基于多光谱图像的沿海区域海草检测的半监督对抗领域自适应方法研究
Kazi Aminul Islam,Victoria Hill,Blake Schaeffer et al.
Kazi Aminul Islam et al.
Seagrass form the basis for critically important marine ecosystems. Previously, we implemented a deep convolutional neural network (CNN) model to detect seagrass in multispectral satellite images of three coastal habitats in northern Florid...