24 citations · 36 across the 8 of their papers we have counts for
13 papers · 1 filter
Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model
Chengsheng Mao, Lijuan Lu, Bin Hu
In Bayesian classification, it is important to establish a probabilistic model for each class for likelihood estimation. Most of the previous methods modeled the probability distri…
Local Distribution in Neighborhood for Classification
Chengsheng Mao, Bin Hu, Lei Chen +2
The k-nearest-neighbor method performs classification tasks for a query sample based on the information contained in its neighborhood. Previous studies into the k-nearest-neighbor…
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes
Yikuan Li, Liang Yao, Chengsheng Mao +3
Acute kidney injury (AKI) in critically ill patients is associated with significant morbidity and mortality. Development of novel methods to identify patients with AKI earlier will…
Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk
Guoqing Chao, Chengsheng Mao, Fei Wang +2
ICU mortality risk prediction is a tough yet important task. On one hand, due to the complex temporal data collected, it is difficult to identify the effective features and interpr…
Cancer classification and pathway discovery using non-negative matrix factorization
Zexian Zeng, Andy Vo, Chengsheng Mao +3
Extracting genetic information from a full range of sequencing data is important for understanding diseases. We propose a novel method to effectively explore the landscape of genet…
Distribution Networks for Open Set Learning
Chengsheng Mao, Liang Yao, Yuan Luo
In open set learning, a model must be able to generalize to novel classes when it encounters a sample that does not belong to any of the classes it has seen before. Open set learni…