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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...

    Yingqiu Zhu, Yinzhi Wang, Lei Qin, Bo Zhang in Annals of Operations Research (2023)

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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 ...

    Danhuai Guo, Yingqiu Zhu, Wenwu Yin in GeoInformatica (2018)

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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...

    Danhuai Guo, Yuanchun Zhou, Yingqiu Zhu in Database Systems for Advanced Applications (2016)