Semi-2DCAE: a semi-supervision 2D-CNN AutoEncoder model for feature representation and classification of encrypted traffic. [PDF]
Cui J, Bai L, Li G, Lin Z, Zeng P.
europepmc +1 more source
DMSCA: dynamic multi-scale channel-spatial attention for enhanced feature representation in convolutional neural networks. [PDF]
Zong L, Nan SJ, Die ZF, Peng HJ.
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A deep learning framework for lysine 2-hydroxyisobutyrylation site prediction using evolutionary feature representation. [PDF]
Elreify HM +5 more
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Multi-view feature representation and fusion for drug-drug interactions prediction. [PDF]
Wang J +5 more
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Student Learning Behavior Recognition Incorporating Data Augmentation with Learning Feature Representation in Smart Classrooms. [PDF]
Wang Z, Li L, Zeng C, Yao J.
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CoMPHI: a novel composite machine learning approach utilizing multiple feature representation to predict hosts of bacteriophages. [PDF]
Bodaka S, Kolliputi N.
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ProFeatMap: a highly customizable tool for 2D feature representation of protein sets. [PDF]
Bich G +3 more
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Personalized design aesthetic preference modeling: a variational autoencoder and meta-learning approach for multi-modal feature representation and transfer optimization. [PDF]
Chen C, Gong Z.
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Cancer survival prediction by learning comprehensive deep feature representation for multiple types of genetic data. [PDF]
Hao Y, Jing XY, Sun Q.
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Enhanced feature representation for real time UAV image object detection using contextual information and adaptive fusion. [PDF]
Wu J, Meng H, Yuan M, Liu C, Lu Z.
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