15 citations · 22 across the 6 of their papers we have counts for
6 papers
Diversity Preference-Aware Link Recommendation for Online Social Networks
Kexin Yin, Xiao Fang, Bintong Chen +1
Link recommendation, which recommends links to connect unlinked online social network users, is a fundamental social network analytics problem with ample business implications. Exi…
Time Series Prediction using Deep Learning Methods in Healthcare
Mohammad Amin Morid, Olivia R. Liu Sheng, Joseph Dunbar
Traditional machine learning methods face two main challenges in dealing with healthcare predictive analytics tasks. First, the high-dimensional nature of healthcare data needs lab…
Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models
Mohammad Amin Morid, Olivia R. Liu Sheng, Samir Abdelrahman
Patient time series classification faces challenges in high degrees of dimensionality and missingness. In light of patient similarity theory, this study explores effective temporal…
PPMF: A Patient-based Predictive Modeling Framework for Early ICU Mortality Prediction
Mohammad Amin Morid, Olivia R. Liu Sheng, Samir Abdelrahman
To date, developing a good model for early intensive care unit (ICU) mortality prediction is still challenging. This paper presents a patient based predictive modeling framework (P…
Utility-based Link Recommendation for Online Social Networks
Zhepeng Li, Xiao Fang, Xue Bai +1
Link recommendation, which suggests links to connect currently unlinked users, is a key functionality offered by major online social networks. Salient examples of link recommendati…
A Survey of Link Recommendation for Social Networks: Methods, Theoretical Foundations, and Future Research Directions
Zhepeng Li, Xiao Fang, Olivia Sheng
Link recommendation has attracted significant attentions from both industry practitioners and academic researchers. In industry, link recommendation has become a standard and most…