Výsledky vyhledávání - Sparse autoencoder

Unsupervised Spectral-Spatial Feature Learning With Stacked Sparse Autoencoder for Hyperspectral Imagery Classification Autor Tao, Chao, Pan, Hongbo, Li, Yansheng, Zou, Zhengrou

“… This is achieved by learning a feature mapping function based on stacked sparse autoencoder. Considering that hyperspectral imagery (HSI…”
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GSAMDA: a computational model for predicting potential microbe–drug associations based on graph attention network and sparse autoencoder Autor Tan, Yaqin, Zou, Juan, Kuang, Linai, Wang, Xiangyi, Zeng, Bin, Zhang, Zhen, Wang, Lei

“… Results In this work, we proposed a novel computational model named GSAMDA based on the graph attention network and sparse autoencoder to infer latent microbe–drug associations…”
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GRU‐based stacked sparse autoencoder with attention mechanism for process monitoring Autor Miao, Zengdi, Wu, Ping, Wu, Zhenquan, Jia, Xiangjun, Xu, Hui, Jiang, Jian

“… In this work, a gated recurrent unit‐based stacked sparse autoencoder with attention mechanism (GRU‐SSAE‐AM…”
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A Fuzzy Deep Neural Network With Sparse Autoencoder for Emotional Intention Understanding in Human-Robot Interaction Autor Chen, Luefeng, Su, Wanjuan, Wu, Min, Pedrycz, Witold, Hirota, Kaoru

“…A fuzzy deep neural network with sparse autoencoder (FDNNSA) is proposed for intention understanding based on human emotions and identification information (i.e…”
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Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology Autor Janowczyk, Andrew, Basavanhally, Ajay, Madabhushi, Anant

“…•Stain Normalization using Sparse AutoEncoders (StaNoSA) in introduced.•It standardizes color distributions of a test image to a single template image…”
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Self-adaptive teaching-learning-based optimizer with improved RBF and sparse autoencoder for high-dimensional problems Autor Bi, Jing, Wang, Ziqi, Yuan, Haitao, Zhang, Jia, Zhou, MengChu

“… them may easily trap into local optima. To solve this problem, this work proposes a Self-adaptive Teaching-learning-based Optimizer with an improved Radial basis function model and a sparse Autoencoder (STORA…”
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Predicting protein-protein interactions from protein sequences by a stacked sparse autoencoder deep neural network Autor Wang, Yan-Bin, You, Zhu-Hong, Li, Xiao, Jiang, Tong-Hai, Chen, Xing, Zhou, Xi, Wang, Lei

“…). Then, these extracted features were reconstructed using the stacked autoencoder. Finally, a novel…”
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Analysis of time-of-flight secondary ion mass spectrometry data of human skin treated with diclofenac using sparse autoencoder: Analysis of time-of-flight secondary ion mass spectrometry data of human skin treated with diclofenac using sparse autoencoder Autor Shinozaki, Atsumi, Matsuda, Kazuhiro, Aoyagi, Satoka

“… Diclofenac-related mass peaks were identified using autoencoder results, and the degree of penetration was evaluated across 2…”
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Sparse autoencoder–based feature extraction from TOF–SIMS image data of human skin structures Autor Matsuda, Kazuhiro, Aoyagi, Satoka

“… Therefore, appropriate analytical methods are required to interpret this TOF–SIMS data. This study explored the capabilities of a sparse autoencoder, a feature extraction method based on artificial neural networks, to process TOF–SIMS image data…”
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Unreferenced English articles’ translation quality-oriented automatic evaluation technology using sparse autoencoder under the background of deep learning Autor Li, Hanhui, Deng, Jie

“… Thereupon, to realize the automatic Translation Quality Assessment (TQA) of unreferenced English articles, this paper proposes an automatic TQA model based on Sparse AutoEncoder (SAE…”
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Quality‐related process monitoring approach based on sparse autoencoder and comprehensive KPLS Autor Xue, Yikai, Pan, Haipeng, Wu, Ping, Ye, Zhenyu, Zhou, Haiyun, Wu, Zhenquan

“… In this paper, a novel method for quality‐related process monitoring that integrates sparse autoencoders (SAE…”
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Retraction: Unreferenced English articles’ translation quality-oriented automatic evaluation technology using sparse autoencoder under the background of deep learning

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SAELGMDA: Identifying human microbe–disease associations based on sparse autoencoder and LightGBM Autor Wang, Feixiang, Yang, Huandong, Wu, Yan, Peng, Lihong, Li, Xiaoling

“… Next, the obtained feature vectors are mapped to a low-dimensional space based on a Sparse AutoEncoder…”
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Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder: Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder Autor Wang, Shui-Hua, Satapathy, Suresh Chandra, Zhou, Qinghua, Zhang, Xin, Zhang, Yu-Dong

“…) as the feature extractor and deep stacked sparse autoencoder (DSSAE) as the classifier. In addition, 18-way data augmentation is employed to avoid overfitting…”
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SSAE‐KPLS: A quality‐related process monitoring via integrating stacked sparse autoencoder with kernel partial least squares Autor Ye, Zhenyu, Wu, Ping, He, Yuchen, Pan, Haipeng

“…‐related process monitoring method via integrating stacked sparse autoencoder (SSAE) with KPLS (SSAE‐KPLS). First, an SSAE model is employed to exploit the nonlinearity within process variables…”
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Adaptive slow feature analysis - sparse autoencoder based fault detection for time-varying processes Autor Tan, Shuai, Zhou, Xinjin, Shi, Hongbo, Song, Bing

“…•Sparse autoencoder is used to extract process features and establish "process monitoring index" to realize process monitoring…”
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Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self-Learning Autor Liu, Bin, Zhao, Wan-lin, Su, Hua, Ma, Jian

“…Because they are key components of aircraft, improving the safety, reliability and economy of engines is crucial. To ensure flight safety and reduce the cost…”
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Drug Repositioning Based on Deep Sparse Autoencoder and Drug–Disease Similarity Autor Lei, Song, Lei, Xiujuan, Chen, Ming, Pan, Yi

“… The method utilizes a deep sparse autoencoder and integrates drug–disease similarities. First, the researchers constructed a drug…”
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RETRACTION: Optimization Using Internet of Agent Based Stacked Sparse Autoencoder Model for Heart Disease Prediction

“…RETRACTION: V. Baviskar, M. Verma, P. Chatterjee, G. Singal and T. R. Gadekallu, “Optimization Using Internet of Agent Based Stacked Sparse Autoencoder Model…”
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Deep sparse autoencoder integrated with three‐stage framework for glaucoma diagnosis Autor Wang, Wenle, Zhou, Wei, Ji, Jianhang, Yang, Jikun, Guo, Wei, Gong, Zhaoxuan, Yi, Yugen, Wang, Jianzhong

“… around the Optic Disc to reduce the computational cost and nonobjective interference. In the second stage, Deep Sparse Autoencoder…”
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