The Impact of Cloaking Digital Footprints on User Privacy and Personalization [0.03%]
隐藏数字足迹对用户隐私和个性化的影响
Sofie Goethals,Sandra Matz,Foster Provost et al.
Sofie Goethals et al.
Our online lives generate a wealth of behavioral records-digital footprints-which are stored and leveraged by technology platforms. These data can be used to create value for users by personalizing services. At the same time, however, it al...
Research on Sports Injury Rehabilitation Detection Based on IoT Models for Digital Health Care [0.03%]
基于物联网模型的运动损伤康复检测研究数字健康护理中的
Zhiyong Wu,Zhida Huang,Nianhua Tang et al.
Zhiyong Wu et al.
Physical therapists specializing in sports rehabilitation detection help injured athletes recover from their wounds and avoid further harm. Sports rehabilitators treat not just commonplace sports injuries but also work-related musculoskelet...
Prognostic Modeling for Liver Cirrhosis Mortality Prediction and Real-Time Health Monitoring from Electronic Health Data [0.03%]
基于电子健康数据的肝硬化死亡预测和实时健康监测模型研究
Chengping Zhang,Muhammad Faisal Buland Iqbal,Imran Iqbal et al.
Chengping Zhang et al.
Liver cirrhosis stands as a prominent contributor to mortality, impacting millions across the United States. Enabling health care providers to predict early mortality among patients with cirrhosis holds the potential to enhance treatment ef...
DMHANT: DropMessage Hypergraph Attention Network for Information Propagation Prediction [0.03%]
基于丢弃消息超图注意力网络的信息传播预测方法
Qi Ouyang,Hongchang Chen,Shuxin Liu et al.
Qi Ouyang et al.
Predicting propagation cascades is crucial for understanding information propagation in social networks. Existing methods always focus on structure or order of infected users in a single cascade sequence, ignoring the global dependencies of...
Maximizing Influence in Social Networks Using Combined Local Features and Deep Learning-Based Node Embedding [0.03%]
基于组合局部特征和深度学习节点嵌入的社交网络影响力最大化
Asgarali Bouyer,Hamid Ahmadi Beni,Amin Golzari Oskouei et al.
Asgarali Bouyer et al.
The influence maximization problem has several issues, including low infection rates and high time complexity. Many proposed methods are not suitable for large-scale networks due to their time complexity or free parameter usage. To address ...
Special Issue: Big Scientific Data and Machine Learning in Science and Engineering [0.03%]
特刊：大数据与科学工程中的机器学习
Farhad Pourkamali-Anaraki
Farhad Pourkamali-Anaraki
Editorial
Big data. 2024 Aug;12(4):269. DOI:10.1089/big.2024.59218.kpa 2024
Research on the Influence of Information Iterative Propagation on Complex Network Structure [0.03%]
信息迭代传播对复杂网络结构影响的研究
Yinuo Qian,Fuzhong Nian,Zheming Wang et al.
Yinuo Qian et al.
Dynamic propagation will affect the change of network structure. Different networks are affected by the iterative propagation of information to different degrees. The iterative propagation of information in the network changes the connectio...
A Fast Survival Support Vector Regression Approach to Large Scale Credit Scoring via Safe Screening [0.03%]
基于安全筛选的大规模信用评分快速生存支持向量回归方法
Hong Wang,Ling Hong
Hong Wang
Survival models have found wider and wider applications in credit scoring recently due to their ability to estimate the dynamics of risk over time. In this research, we propose a Buckley-James safe sample screening support vector regression...
Shengwen Li,Chaofan Fan,Tianci Li et al.
Shengwen Li et al.
Extracting meaningful patterns of human mobility from accumulating trajectories is essential for understanding human behavior. However, previous works identify human mobility patterns based on the spatial co-occurrence of trajectories, whic...
Guillermo Vinué
Guillermo Vinué
This is the second part of a research diptych devoted to improving basketball data management in Spain. The Spanish ACB (Association of Basketball Clubs, acronym in Spanish) is the top European national competition. It attracts most of the ...