4 citations · 7 across the 3 of their papers we have counts for
3 papers
q-bio.QM2021
CPSC: Conformal prediction with shrunken centroids for efficient prediction reliability quantification and data augmentation, a case in alternative herbal medicine classification with electronic nose
Li Liu, Xianghao Zhan, Xikai Yang +6
In machine learning applications, the reliability of predictions is significant for assisted decision and risk control. As an effective framework to quantify the prediction reliabi…
q-bio.QM2021★ 3 cited
Classifying herbal medicine origins by temporal and spectral data mining of electronic nose
Li Liu, Xianghao Zhan, Ziheng Duan +6
The origins of herbal medicines are important for their treatment effect, which could be potentially distinguished by electronic nose system. As the odor fingerprint of herbal medi…
cs.LG2021★ 4 cited
Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose
Li Liu, Xianghao Zhan, Rumeng Wu +7
Electronic nose has been proven to be effective in alternative herbal medicine classification, but due to the nature of supervised learning, previous research heavily relies on the…