Domain adaptation network based on hypergraph regularized denoising autoencoder
Sign Up to like & getrecommendations! Published in 2017 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-017-9576-0
Abstract: Domain adaptation learning aims to solve the classification problems of unlabeled target domain by using rich labeled samples in source domain, but there are three main problems: negative transfer, under adaptation and under fitting. Aiming… read more here.
Keywords: denoising autoencoder; network; hypergraph; domain adaptation ... See more keywords
Taxonomy-aware collaborative denoising autoencoder for personalized recommendation
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DOI: 10.1007/s10489-018-1378-9
Abstract: Taxonomies are ubiquitous in many real-world recommendation scenarios where each item is classified into a category of a predefined hierarchical taxonomy and provide important auxiliary information for inferring user preferences. However, traditional collaborative filtering approaches… read more here.
Keywords: denoising autoencoder; recommendation; information; taxonomy aware ... See more keywords
Lightweight Denoising Autoencoder Design for Noise Removal in Electrocardiography
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DOI: 10.1109/access.2022.3206620
Abstract: This study proposes two denoising autoencoder models with discrete cosine transform and discrete wavelet transform, to remove electrode motion artifacts in noisy electrocardiography. Initially, the discrete cosine transform and discrete wavelet transform efficiently removed the… read more here.
Keywords: noise; denoising autoencoder; electrocardiography; transform ... See more keywords
Distributed Robust Process Monitoring Based on Optimized Denoising Autoencoder With Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3147887
Abstract: Global monitoring for complex large-scale chemical processes is often challenging because of complex correlations among variables. This article proposes an optimized denoising autoencoder (DAE)-based distributed monitoring method to achieve efficient and robust monitoring of multiunit,… read more here.
Keywords: denoising autoencoder; reinforcement learning; optimized denoising; monitoring ... See more keywords
Conditional Generative Denoising Autoencoder
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DOI: 10.1109/tnnls.2019.2952203
Abstract: We present a generative denoising autoencoder model that has an embedded data classifier in its architecture in order to take advantage of class-based discriminating features and produce better data samples. The proposed model is a… read more here.
Keywords: conditional generative; model; class; denoising autoencoder ... See more keywords
Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder
Sign Up to like & getrecommendations! Published in 2018 at "BioMedical Engineering OnLine"
DOI: 10.1186/s12938-018-0496-2
Abstract: ObjectiveIn this paper, we aim to investigate the effect of computer-aided triage system, which is implemented for the health checkup of lung lesions involving tens of thousands of chest X-rays (CXRs) that are required for… read more here.
Keywords: denoising autoencoder; chest screening; convolutional sparse; model ... See more keywords