4 citations · 11 across the 5 of their papers we have counts for
5 papers
Using deep convolutional neural networks to classify poisonous and edible mushrooms found in China
Baiming Zhang, Ying Zhao, Zhixiang Li
Because of their abundance of amino acids, polysaccharides, and many other nutrients that benefit human beings, mushrooms are deservedly popular as dietary cuisine both worldwide a…
Transgender Community Sentiment Analysis from Social Media Data: A Natural Language Processing Approach
Yuqiao Liu, Yudan Wang, Ying Zhao +1
Transgender community is experiencing a huge disparity in mental health conditions compared with the general population. Interpreting the social medial data posted by transgender p…
An early prediction of covid-19 associated hospitalization surge using deep learning approach
Yuqi Meng, Qiancheng Sun, Suning Hong +2
The global pandemic caused by COVID-19 affects our lives in all aspects. As of September 11, more than 28 million people have tested positive for COVID-19 infection, and more than…
Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data
Haotian Liu, Lin Xi, Ying Zhao +1
The prediction of epileptic seizure has always been extremely challenging in medical domain. However, as the development of computer technology, the application of machine learning…
Abnormal Subspace Sparse PCA for Anomaly Detection and Interpretation
Xingyan Bin, Ying Zhao, Bilong Shen
The main shortage of principle component analysis (PCA) based anomaly detection models is their interpretability. In this paper, our goal is to propose an interpretable PCA-based m…