The stance prediction task’s input is the news articles containing a pair: a headline as the target and a body as a claim. This paper proposes a deep learning architecture using Bi-directional Long ...

A schematic architecture of a stacked autoencoder. Left ... These results suggest that autoencoder is a potential machine learning algorithm in drug-likeness prediction. The ACC of our ...

To see if the accuracy of bankruptcy prediction can be further improved, we propose three latest models―support vector machine (SVM), neural network, and autoencoder. Support vector machine is a ...

To test this, we developed a compositional autoencoder (CAE) that decomposes high-dimensional data into distinct genotype-specific and environment-specific latent features. Our CAE framework employed ...

Prediction, estimation ... Here, we propose a simple machine learning based approach to find these coordinate transformations. This is done via a deep autoencoder network. This simple DMD autoencoder ...

Sadria, M. , Layton, A. , Goyal, S. , & Bader, G. . (2022). Fatecode: Cell fate regulator prediction using classification autoencoder perturbation. bioRxiv, 2022–12 ...