Výsledky vyhledávání - stacked autoencoder

Financial portfolio optimization with online deep reinforcement learning and restricted stacked autoencoder—DeepBreath Autor Soleymani, Farzan, Paquet, Eric

“…•Extracting high-level features using restricted stacked autoencoder.•A convolutional neural network is employed to enforce the policy…”
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Prediction of potential miRNA–disease associations based on stacked autoencoder Autor Wang, Chun-Chun, Li, Tian-Hao, Huang, Li, Chen, Xing

“… In this study, we proposed a computational model named Stacked Autoencoder for potential MiRNA…”
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A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network Autor Wang, Lei, You, Zhu-Hong, Chen, Xing, Xia, Shi-Xiong, Liu, Feng, Yan, Xin, Zhou, Yong, Song, Ke-Jian

“… In this article, we propose a new computational method for predicting DTIs from drug molecular structure and protein sequence by using the stacked autoencoder of deep learning, which can adequately…”
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δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting Autor Zhou, Teng, Han, Guoqiang, Xu, Xuemiao, Lin, Zhizhe, Han, Chu, Huang, Yuchang, Qin, Jing

“… Recently, the stacked autoencoder has been proven promising for traffic flow forecasting but still exists some drawbacks in certain conditions…”
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Obstacle Detection for Intelligent Transportation Systems Using Deep Stacked Autoencoder and k -Nearest Neighbor Scheme Autor Dairi, Abdelkader, Harrou, Fouzi, Ying Sun, Senouci, Mohamed

“… The proposed method uses a deep stacked auto-encoders (DSA) model that combines the greedy learning features with the dimensionality reduction capacity and employs an unsupervised k -nearest neighbors (KNN…”
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Prediction of miRNA–Disease Associations by Cascade Forest Model Based on Stacked Autoencoder Autor Hu, Xiang, Yin, Zhixiang, Zeng, Zhiliang, Peng, Yu

“… Then, the stacked autoencoder is applied for obtaining the underlying feature representation. Finally, the modified cascade forest model is employed to complete…”
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Data‐driven polyline simplification using a stacked autoencoder‐based deep neural network Autor Yu, Wenhao, Chen, Yujie

“… Then, a stacked autoencoder‐based deep neural network model is trained to learn the pattern features of polyline…”
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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 multi‐feature space constrained stacked autoencoder and its application for uncertain process monitoring Autor Yang, Jiandong, Wang, Chenhao, Yu, Jianbo, Yan, Xuefeng

“… To mitigate these issues, we propose a novel process monitoring method based on a multi‐feature space constrained stacked autoencoder (MFSCSAE…”
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Process monitoring of nonlinear uncertain systems based on Part Interval Stacked Autoencoder and Support Vector Data Description Autor Wu, Qiqi, Lu, Weipeng, Yan, Xuefeng

“… of process monitoring and fault diagnosis called Part Interval Stacked Autoencoder and Support Vector Data Description (PISAE–SVDD…”
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Characterization of $S_1$ and $S_2$ Heart Sounds Using Stacked Autoencoder and Convolutional Neural Network Autor Mishra, Madhusudhan, Menon, Hrishikesh, Mukherjee, Anirban

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Optimizing sEMG Gesture Recognition with Stacked Autoencoder Neural Network for Bionic Hand Autor Yadav, Mr. Amol Pandurang, Patil, Dr. Sandip.R.

“…This study presents a novel deep learning approach for surface electromyography (sEMG) gesture recognition using stacked autoencoder neural network…”
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Denoising magnetic resonance spectroscopy (MRS) data using stacked autoencoder for improving signal‐to‐noise ratio and speed of MRS Autor Wang, Jing, Ji, Bing, Lei, Yang, Liu, Tian, Mao, Hui, Yang, Xiaofeng

“…Background While magnetic resonance imaging (MRI) provides high resolution anatomical images with sharp soft tissue contrast, magnetic resonance spectroscopy…”
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Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery Autor Protopapadakis, Eftychios, Doulamis, Anastasios, Doulamis, Nikolaos, Maltezos, Evangelos

“…In this paper, we propose a Stack Auto-encoder (SAE)-Driven and Semi-Supervised (SSL)-Based Deep Neural Network (DNN) to extract buildings from relatively…”
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Deep Stacked Autoencoder Based Long-Term Spectrum Prediction Using Real-World Data Autor Pan, Guangliang, Wu, Qihui, Ding, Guoru, Wang, Wei, Li, Jie, Xu, Fuyuan, Zhou, Bo

“… In this paper, we first propose a stacked autoencoder (SAE) and bi-directional long short-term memory (Bi-LSTM…”
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Stacked autoencoders as new models for an accurate Alzheimer’s disease classification support using resting-state EEG and MRI measurements Autor Ferri, Raffaele, Babiloni, Claudio, Karami, Vania, Triggiani, Antonio Ivano, Carducci, Filippo, Noce, Giuseppe, Lizio, Roberta, Pascarelli, Maria T., Soricelli, Andrea, Amenta, Francesco, Bozzao, Alessandro, Romano, Andrea, Giubilei, Franco, Del Percio, Claudio, Stocchi, Fabrizio, Frisoni, Giovanni B., Nobili, Flavio, Patanè, Luca, Arena, Paolo

“…•Artificial neural networks with stacked autoencoders detected Alzheimer’s dementia patients based on EEG and structural MRI variables…”
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Damage‐sensitive feature extraction with stacked autoencoders for unsupervised damage detection Autor Silva, Moisés Felipe, Santos, Adam, Santos, Reginaldo, Figueiredo, Eloi, Costa, João C.W.A.

“… Inspired by the idea of compressed sensing and deep learning, an intelligent two‐level feature extraction approach using stacked autoencoders over pre…”
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Spectral-Spatial Anomaly Detection via Collaborative Representation Constraint Stacked Autoencoders for Hyperspectral Images Autor Zhao, Chunhui, Li, Chuang, Feng, Shou, Li, Wei

“… Besides, most of them also do not make use of abundant spatial information of HSIs. Thus, a spectral-spatial hyperspectral AD method via collaborative representation constraint stacked autoencoders (SSCRSAE) is proposed…”
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Mechanistic block‐based attention mechanism stacked autoencoder for describing typical unit connection industrial processes and their monitoring Autor Wang, Chenhao, Tang, Xujia, Yu, Jianbo, Yang, Xiaofeng, Yan, Xuefeng

“… A mechanistic block‐based attention mechanism stacked autoencoder (MB‐AMSAE) monitoring method is proposed in this paper…”
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Detection of sea‐surface target of coastal defense radar based on Stacked Autoencoder (SAE) algorithm Autor Yan, He, Chen, Chao, Jin, Guodong, Zhang, Jindong, Zhang, Gong, Zhu, Daiyin

“… In this study, a novel algorithm for sea‐surface target detection based on a stacked autoencoder (SAE…”
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