Výsledky vyhledávání - deep sparse autoencoder

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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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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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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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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Autoencoder Artificial Neural Network Model for Air Pollution Index Prediction Autor Basir, Nor Irwin, Tan, Kathlyn Kaiyun, Djarum, Danny Hartanto, Ahmad, Zainal, Vo, Dai-Viet N., Jie, Zhang

“… This paper presents shallow and deep sparse autoencoder artificial neural network models to improve the prediction of the Air Pollution Index (API…”
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Unsupervised abnormality detection through mixed structure regularization (MSR) in deep sparse autoencoders Autor Freiman, Moti, Manjeshwar, Ravindra, Goshen, Liran

“…) approach for a deep sparse autoencoder aimed at unsupervised abnormality detection in medical images…”
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Bottom-Up Visual Saliency Estimation With Deep Autoencoder-Based Sparse Reconstruction Autor Xia, Chen, Qi, Fei, Shi, Guangming

“… In this paper, inspired by the powerful feature learning and data reconstruction ability of deep autoencoders, we construct a deep C-S inference network and train it with the data sampled randomly…”
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Deep Stacked Sparse Autoencoders – A Breast Cancer Classifier Autor Munir, Muhammad Asif, Aslam, Muhammad Aqeel, Shafique, Muhammad, Ahmed, Rauf, Mehmood, Zafar

“… In this article, Deep Stacked Sparse Autoencoders for breast cancer diagnostic and classification are proposed…”
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Enhancing accuracy of prediction of critical heat flux in Circular channels by ensemble of deep sparse autoencoders and deep neural Networks Autor Zubair Khalid, Rehan, Ahmed, Ibrahim, Ullah, Atta, Zio, Enrico, Khan, Asifullah

“…•A novel ensemble of Deep Sparse AEs and DNN based CHF prediction method was proposed…”
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Alz-SAENet: A Deep Sparse Autoencoder based Model for Alzheimer’s Classification Autor Reddy, G Nagarjuna, Reddy, K Nagi

“… we built an advanced deep sparse autoencoder-based architecture, named Alz-SAENet for the identification of diseased from typical control subjects using MRI volumes…”
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Facial expression recognition via learning deep sparse autoencoders Autor Zeng, Nianyin, Zhang, Hong, Song, Baoye, Liu, Weibo, Li, Yurong, Dobaie, Abdullah M.

“… the accurate and comprehensive information of emotions. Furthermore, the deep sparse autoencoders (DSAE…”
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Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction Autor Chen, Luefeng, Zhou, Mengtian, Su, Wanjuan, Wu, Min, She, Jinhua, Hirota, Kaoru

“… However, DNN suffers from problems of learning efficiency and computational complexity. To address these problems, deep sparse autoencoder network (DSAN…”
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Optimizing Blockchain Communication Systems Security With Deep Logic Sparse Autoencoder and Kookaburra Search–Based Intrusion Detection Autor Alsowail, Rakan A.

“… This paper introduces a pioneering intrusion detection model, the deep logic sparse autoencoder…”
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Remaining Useful Life Prediction of Gear Pump Based on Deep Sparse Autoencoders and Multilayer Bidirectional Long–Short–Term Memory Network Autor Zhang, Peiyao, Jiang, Wanlu, Shi, Xiaodong, Zhang, Shuqing

“… The deep sparse autoencoder is used to extract multi–dimensional features. Subsequently, the feature vectors are inputted to the support vector data description…”
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Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network Autor Sohaib, Muhammad, Kim, Jong-Myon

“… In this study, using complex envelope spectra and stacked sparse autoencoder…”
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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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Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse-autoencoder-based deep neural network Autor Shah, Maqsood Hussain, Dang, Xiaoyu

“…Application of deep learning in the area of automatic modulation classification (AMC) is still evolving. An unsupervised sparse-autoencoder-based deep neural network…”
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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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Assistive communication system using deep sparse autoencoder with feature learning to assist people with hearing disabilities Autor Maashi, Mashael, Aljohani, Nasser, Alsahafi, Yaser Abdulaziz, Rizwanullah, Mohammed

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Predicting potential microbe-disease associations based on heterogeneous graph attention network and deep sparse autoencoder Autor Wang, Bo, Zhao, Wenlong, Du, Xiaoxin, Zhang, Jianfei, Zhang, Chunyu, Wang, Liping, He, Yang

“… We propose a computational framework called graph attention convolutional deep sparse autoencoder microbe-disease association (GCDSAEMDA…”
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