From unsupervised to semi-supervised adversarial domain adaptation in electroencephalography-based sleep staging
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac6ca8
Abstract: Objective. The recent breakthrough of wearable sleep monitoring devices has resulted in large amounts of sleep data. However, as limited labels are available, interpreting these data requires automated sleep stage classification methods with a small… read more here.
Keywords: sleep staging; domain adaptation; adaptation; domain ... See more keywords
scAdapt: virtual adversarial domain adaptation network for single cell RNA-seq data classification across platforms and species.
Sign Up to like & getrecommendations! Published in 2021 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab281
Abstract: In single cell analyses, cell types are conventionally identified based on expressions of known marker genes, whose identifications are time-consuming and irreproducible. To solve this issue, many supervised approaches have been developed to identify cell… read more here.
Keywords: single cell; scadapt virtual; adversarial domain; platforms species ... See more keywords
Inferring RNA-binding protein target preferences using adversarial domain adaptation
Sign Up to like & getrecommendations! Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009863
Abstract: Precise identification of target sites of RNA-binding proteins (RBP) is important to understand their biochemical and cellular functions. A large amount of experimental data is generated by in vivo and in vitro approaches. The binding… read more here.
Keywords: adversarial domain; rbp; network; domain adaptation ... See more keywords
Deploying deep learning models on unseen medical imaging using adversarial domain adaptation
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DOI: 10.1371/journal.pone.0273262
Abstract: The fundamental challenge in machine learning is ensuring that trained models generalize well to unseen data. We developed a general technique for ameliorating the effect of dataset shift using generative adversarial networks (GANs) on a… read more here.
Keywords: domain adaptation; adaptation; auc; test auc ... See more keywords
Simultaneously Improve Transferability and Discriminability for Adversarial Domain Adaptation
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DOI: 10.3390/e24010044
Abstract: Although adversarial domain adaptation enhances feature transferability, the feature discriminability will be degraded in the process of adversarial learning. Moreover, most domain adaptation methods only focus on distribution matching in the feature space; however, shifts… read more here.
Keywords: adversarial domain; discriminability; adaptation; domain adaptation ... See more keywords