Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2794470
Abstract: Discriminative methods commonly produce models with relatively good generalization abilities. However, this advantage is challenged in real-world applications (e.g., medical image analysis problems), in which there often exist outlier data points (sample-outliers) and noises in… read more here.
Keywords: semi supervised; outliers feature; feature noises; sample outliers ... See more keywords
A Metabolomics-Based Study on the Discriminative Classification Models and Toxicological Mechanism of Estazolam Fatal Intoxication
Sign Up to like & getrecommendations! Published in 2023 at "Metabolites"
DOI: 10.3390/metabo13040567
Abstract: Fatal intoxication with sedative-hypnotic drugs is increasing yearly. However, the plasma drug concentration data for fatal intoxication involving these substances are not systematic and even overlap with the intoxication group. Therefore, developing a more precise… read more here.
Keywords: classification models; fatal intoxication; group; intoxication ... See more keywords