AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Medical Systems"
DOI: 10.1007/s10916-020-01562-1
Abstract: The novel coronavirus (COVID-19) outbreak, which was identified in late 2019, requires special attention because of its future epidemics and possible global threats. Beside clinical procedures and treatments, since Artificial Intelligence (AI) promises a new… read more here.
Keywords: driven tools; active learning; population train; train test ... See more keywords
Effect of Dataset Size and Train/Test Split Ratios in QSAR/QSPR Multiclass Classification
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DOI: 10.3390/molecules26041111
Abstract: Applied datasets can vary from a few hundred to thousands of samples in typical quantitative structure-activity/property (QSAR/QSPR) relationships and classification. However, the size of the datasets and the train/test split ratios can greatly affect the… read more here.
Keywords: classification; split ratios; train test; test ... See more keywords