Aggregating Local and Global Text Features for Linguistic Steganalysis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3185946
Abstract: Existing linguistic steganalysis methods share a similar conceptual learning paradigm: namely, learning specific features derived from a word and its surrounding words, then passing them to the classifier. However, these features are unable to deal… read more here.
Keywords: text features; aggregating local; local global; steganalysis ... See more keywords
Corrigendum: Global Text Mining and Development of Pharmacogenomic Knowledge Resource for Precision Medicine
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Pharmacology"
DOI: 10.3389/fphar.2020.614445
Abstract: [This corrects the article DOI: 10.3389/fphar.2019.00839.]. read more here.
Keywords: medicine; text mining; development pharmacogenomic; corrigendum global ... See more keywords