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Article
Naïve Bayes classifier based on reliability measurement for datasets with noisy labels
Incorrect labeling is a common issue that often occurs in machine learning applications. If datasets contain noisy labels and these errors are not corrected, the performance of the trained classifiers is affec...
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Article
OSCAR: a framework to integrate spatial computing ability and data aggregation for emergency management of public health
Spatial computing has emerged a critical issue in emergency management of public health. Due to the complexity of spatial data structure and disperse character of spatio-temporal data, when emergency event of ...
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Chapter and Conference Paper
Species Distribution Modeling via Spatial Bagging of Multiple Conditional Random Fields
Satellite tracking technologies enable scientists to collect data of animal migrations and species habitats on a large scale. Modeling distributions of wild animals is of considerable use. It helps researchers...