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Stacked Denoising sentence examples within convolutional neural network



Cascade neural network-based joint sampling and reconstruction for image compressed sensing



Multimodal deep learning models for early detection of Alzheimer’s disease stage


Stacked Denoising sentence examples within deep learning method



Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation



Integrating multi-platform genomic datasets for kidney renal clear cell carcinoma subtyping using stacked denoising autoencoders


Stacked Denoising sentence examples within deep neural network



HRRP-based target recognition with deep contractive neural network



Pre-trained Classification of Hyperspectral Images Using Denoising Autoencoders and Joint Features




Stacked Denoising sentence examples within support vector machine



Robust and Efficient Classification for Underground Metal Target Using Dimensionality Reduction and Machine Learning



Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Stacked Denoising Autoencoder


Stacked Denoising sentence examples within Combining Stacked Denoising



SDAE-based feature selection method for biological Omics data



Cascade neural network-based joint sampling and reconstruction for image compressed sensing


Stacked Denoising sentence examples within Marginalized Stacked Denoising



Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition



Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification


Stacked Denoising sentence examples within Sparse Stacked Denoising



Deep Learning for Predicting Non-attendance in Hospital Outpatient Appointments



A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings


Stacked Denoising sentence examples within Deep Stacked Denoising



Extracting and inserting knowledge into stacked denoising auto-encoders



Face recognition via Deep Stacked Denoising Sparse Autoencoders (DSDSA)


Stacked Denoising sentence examples within Modified Stacked Denoising



Complete Stacked Denoising Auto-Encoders for Regression



Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction


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Manifold regularized stacked denoising autoencoders with feature selection



Evolutionary manifold regularized stacked denoising autoencoders for gearbox fault diagnosis


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Multimodal deep learning models for early detection of Alzheimer’s disease stage



Fault Location in VSC-HVDC Using Stacked Denoising Autoencoder


Stacked Denoising sentence examples within stacked denoising autoencoder



Stacked denoising autoencoder for infrared thermography image enhancement



Multicomponent SF6 decomposition product sensing with a gas-sensing microchip


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A fusion data preprocessing method and its application in complex industrial power consumption prediction



Attention neural collaboration filtering based on GRU for recommender systems


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K-Means Clustering Optimizing Deep Stacked Sparse Autoencoder



Faulty elements diagnosis of phased array antennas using a generative adversarial learning-based stacked denoising sparse autoencoder


Stacked Denoising sentence examples within stacked denoising automatic



Intelligent English resource recommendation and teaching effect based on symmetric SDAE collaborative filtering algorithm



DGEPN-GCEN2V: a new framework for mining GGI and its application in biomarker detection


Stacked Denoising sentence examples within stacked denoising convolutional



Automatic Detection of COVID-19 Using a Stacked Denoising Convolutional Autoencoder



Reduced Biquaternion Stacked Denoising Convolutional AutoEncoder for RGB-D Image Classification


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10.1109/INDIN45523.2021.9557407

Stacked denoising autoencoder for infrared thermography image enhancement


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10.1016/j.mechatronics.2021.102520

A fusion data preprocessing method and its application in complex industrial power consumption prediction


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10.1007/S40747-021-00274-4

Attention neural collaboration filtering based on GRU for recommender systems


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10.1088/1755-1315/769/4/042085

Rolling Bearing Fault Classification Based on Stacked Denoising Auto Encoders


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10.1038/s41378-021-00246-1

Multicomponent SF6 decomposition product sensing with a gas-sensing microchip


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10.1088/1742-6596/1848/1/012022

SDAE-based feature selection method for biological Omics data


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10.1016/J.SPECOM.2021.02.004

Improving phoneme recognition of throat microphone speech recordings using transfer learning


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10.1109/jsen.2021.3099823

Ground Target Recognition Using Carrier-Free UWB Radar Sensor With a Semi-Supervised Stacked Convolutional Denoising Autoencoder


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10.1109/TNNLS.2020.3008154

A Hybrid CMOS-Memristive Approach to Designing Deep Generative Models


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Denoising and feature extraction of weld seam profiles by stacked denoising autoencoder


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10.1088/1742-6596/2035/1/012019

Online Probabilistic Power Flow with Tie-line Power Transfer: A Stacked Denoising Auto-Encoders Method


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10.1109/TII.2020.3028616

Deep Learning-Enabled Sparse Industrial Crowdsensing and Prediction


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A fault diagnosis method based on Auxiliary Classifier Generative Adversarial Network for rolling bearing


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10.1007/S12652-021-03049-4

Intelligent English resource recommendation and teaching effect based on symmetric SDAE collaborative filtering algorithm



An ECG Denoising Method Based on the Generative Adversarial Residual Network



Intelligent Diagnosis of Subway Traction Motor Bearing Fault Based on Improved Stacked Denoising Autoencoder


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10.1109/ACCESS.2021.3080288

A Stacked Denoising Autoencoder and Long Short-Term Memory Approach With Rule-Based Refinement to Extract Valid Semantic Trajectories


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Intelligent sensor validation for sustainable influent quality monitoring in wastewater treatment plants using stacked denoising autoencoders


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Gated relational stacked denoising autoencoder with localized author embedding for global citation recommendation


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Robust and Efficient Classification for Underground Metal Target Using Dimensionality Reduction and Machine Learning


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10.1007/s11760-021-01955-w

Cascade neural network-based joint sampling and reconstruction for image compressed sensing


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10.1109/IGARSS47720.2021.9553912

Slow Feature Analysis Based on Convolutional Neural Network for SAR Image Change Detection



Leveraging Label Information in a Knowledge-Driven Approach for Rolling-Element Bearings Remaining Useful Life Prediction


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Recognition of cognitive load with a stacking network ensemble of denoising autoencoders and abstracted neurophysiological features.


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Multimodal deep learning models for early detection of Alzheimer’s disease stage


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10.1186/s12859-021-04328-9

PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions



Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Stacked Denoising Autoencoder


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10.1109/TII.2020.2999318

CLPM: A Cooperative Link Prediction Model for Industrial Internet of Things Using Partitioned Stacked Denoising Autoencoder



Stacked Convolutional Sparse Auto-Encoders for Representation Learning



An Adaptive EEG Feature Extraction Method Based on Stacked Denoising Autoencoder for Mental Fatigue Connectivity


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Complete Stacked Denoising Auto-Encoders for Regression


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Radar Emitter Signal Recognition based on Contour Lines of Ambiguity Function and Stacked Denoising Auto-encoders


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10.1016/j.measurement.2020.108153

Intelligent analysis of tool wear state using stacked denoising autoencoder with online sequential-extreme learning machine


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10.1016/j.neunet.2021.01.010

Extracting and inserting knowledge into stacked denoising auto-encoders


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10.1007/s40747-020-00254-0

Image-based mains signal disaggregation and load recognition


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10.12688/f1000research.73240.1

Neural matrix factorization++ based recommendation system


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10.1007/s00500-020-05162-6

An unsupervised detection method for shilling attacks based on deep learning and community detection


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10.1109/TNSRE.2021.3113293

HFO Detection in Epilepsy: A Stacked Denoising Autoencoder and Sample Weight Adjusting Factors-Based Method


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Automatic Detection of COVID-19 Using a Stacked Denoising Convolutional Autoencoder


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10.15918/J.JBIT1004-0579.2021.017

Deep Multimodal Learning and Fusion Based Intelligent Fault Diagnosis Approach


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10.1109/TII.2020.3021688

Construction of a Hierarchical Feature Enhancement Network and Its Application in Fault Recognition


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10.1016/j.ress.2020.107396

Life prediction of lithium-ion batteries based on stacked denoising autoencoders


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10.1109/TPWRS.2020.3043620

Probabilistic Stacked Denoising Autoencoder for Power System Transient Stability Prediction With Wind Farms


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10.1109/LSP.2021.3088049

Reduced Biquaternion Stacked Denoising Convolutional AutoEncoder for RGB-D Image Classification


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Damage Identification Based on the Loaded Frequency Changes and Deep Learning for Bridge


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10.1007/978-3-030-78615-1_7

Intelligent Intrusion Detection of Measurement Automation System Based on Deep Learning



Integrating Cellular Automata with Unsupervised Deep-Learning Algorithms: A Case Study of Urban-Sprawl Simulation in the Jingjintang Urban Agglomeration, China


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10.1109/CCDC.2019.8833353

Fault Diagnosis of Rolling Bearing Based on SDAE and PSO-DBN


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10.1109/phm-qingdao46334.2019.8943055

Construction Method of Turbine Engine Health Indicator Based on Deep Learning


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10.1109/ACCESS.2019.2933591

Domain Adaptation by Stacked Local Constraint Auto-Encoder Learning



Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction


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10.1109/iSPEC48194.2019.8975050

State Assessment and Fault Prediction Method of Distribution Terminal Based on SDAE and Hierarchical Bayesian


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10.1109/ACCESS.2019.2902613

Multiscale Superpixel Segmentation With Deep Features for Change Detection


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10.1109/TCSVT.2018.2868123

Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition


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10.1007/s00521-019-04085-0

Two-dimensional joint local and nonlocal discriminant analysis-based 2D image feature extraction for deep learning


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10.1109/IWCMC.2019.8766668

Tensor-Train Based Deep Learning Approach for Compressive Sensing in Mobile Computing



Detecting Shilling Attacks with Automatic Features from Multiple Views



Multiperiod-Ahead Wind Speed Forecasting Using Deep Neural Architecture and Ensemble Learning


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10.1007/s10044-019-00814-2

RACMF: robust attention convolutional matrix factorization for rating prediction


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10.1504/IJCSE.2019.099071

Training Auto-encoders Effectively via Eliminating Task-irrelevant Input Variables


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10.1117/1.JEI.28.2.023006

Data-driven two-layer visual dictionary structure learning


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10.1109/TKDE.2018.2837085

Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation


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Monitoring Acute Lymphoblastic Leukemia Therapy with Stacked Denoising Autoencoders



Deep Learning for Predicting Non-attendance in Hospital Outpatient Appointments



Detecting Web Attacks using Stacked Denoising Autoencoder and Ensemble Learning Methods


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10.1016/j.compbiomed.2019.04.034

Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders


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10.1038/s41598-019-53048-x

Integrating multi-platform genomic datasets for kidney renal clear cell carcinoma subtyping using stacked denoising autoencoders


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10.1109/ACCESS.2019.2893206

Stacked Denoising Autoencoder With Density-Grid Based Clustering Method for Detecting Outlier of Wind Turbine Components



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