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Genewise dispersion of protein predictability from transcriptome data.
Published 2022“…<p>Box plots of test set correlation coefficients between the transcript-predicted and actual protein level for each protein are shown across five feature sets (column: single/self transcript, CORUM interactors, STRING 800 high-confidence associated proteins; STRING 200 low-confidence associated proteins, and all transcripts) and three algorithms (multiple linear regression, elastic net, and random forest). …”
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Table_1_A robust ensemble deep learning framework for accurate diagnoses of tuberculosis from chest radiographs.pdf
Published 2024“…The proposed framework is essentially an ensemble model with multiple feature extractors and one of three fusion strategies-voting, attention-based, or concatenation methods-in the fusion stage before a final classification. …”
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Arabic Handwritten Characters Dataset
Published 2020“…Common machine learning methods usually apply a combination of feature extractor and trainable classifier. The use of CNN leads to significant improvements across different machine-learning classification algorithms. …”