SMILES Pair Encoding: A Data-Driven Substructure Tokenization Algorithm for Deep Learning
Sign Up to like & getrecommendations! Published in 2021 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.0c01127
Abstract: Simplified molecular input line entry system (SMILES)-based deep learning models are slowly emerging as an important research topic in cheminformatics. In this study, we introduce SMILES pair encoding (SPE), a data-driven tokenization algorithm. SPE first… read more here.
Keywords: pair encoding; smiles pair; data driven; deep learning ... See more keywords
Byte-Pair Encoding for Classifying Routine Clinical Electroencephalograms in Adults Over the Lifespan
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2023.3236264
Abstract: Routine clinical EEG is a standard test used for the neurological evaluation of patients. A trained specialist interprets EEG recordings and classifies them into clinical categories. Given time demands and high inter-reader variability, there is… read more here.
Keywords: routine clinical; classifying routine; byte pair; eeg ... See more keywords