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检索条件"主题词=Stacked Autoencoder"
325 条 记 录,以下是51-60 订阅
Speech emotion recognition in Persian based on stacked autoencoder by comparing local and global features
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MULTIMEDIA TOOLS AND APPLICATIONS 2023年 第23期82卷 36413-36430页
作者: Bastanfard, Azam Abbasian, Alireza Islamic Azad Univ Dept Comp Engn Karaj Branch Karaj Iran Iran Broadcasting Univ Fac Media Engn Tehran Iran
Among the barriers to establishing effective human-machine interactions is the machines' inability to properly distinguish emotions from the human voice. The Speech Emotion Recognition (SER) systems have emerged t... 详细信息
来源: 评论
Enhanced particle swarm optimization-based hyperparameter optimized stacked autoencoder for credit card fraud detection
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INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS 2024年 1-15页
作者: Abadlia, Houda Smairi, Nadia Univ Manouba ENSI LARIA UR22ES01 Campus Univ Manouba Manouba 2010 Tunisia
In recent years, several fraud attempts have been made in various sectors including finance, banking and insurance. In fact, credit card fraud refers to the unauthorized use of a credit card account to obtain money, p... 详细信息
来源: 评论
A system evaluation of NBA rookie contract execution efficiency with stacked autoencoder and hybrid DEA
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OPERATIONAL RESEARCH 2021年 第4期21卷 2771-2807页
作者: Zhu, Qing Zuo, Renxian Li, Yuze Liu, Shan Shaanxi Normal Univ Int Business Sch Xian 710119 Shaanxi Peoples R China Xi An Jiao Tong Univ Sch Management Xian 710049 Shaanxi Peoples R China Univ Chinese Acad Sci Sch Econ & Management Beijing 100864 Peoples R China
Most labor contract evaluations rely on performance evaluations by human resource management, which is time-consuming and costly. However, there has been little research into quantitative contract evaluations. This pa... 详细信息
来源: 评论
Trust aware routing using sunflower sine cosine-based stacked autoencoder approach for EEG signal classification in WSN
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JOURNAL OF HIGH SPEED NETWORKS 2021年 第2期27卷 101-119页
作者: Kumaraguru, Shanthi Jebarani, M. R. Ebenezar Sathyabama Inst Sci & Technol Chennai Tamil Nadu India
Trust-aware routing is the significant direction for designing the secure routing protocol in Wireless Sensor Network (WSN). However, the trust-aware routing mechanism is implemented to evaluate the trustworthiness of... 详细信息
来源: 评论
Traffic-flow prediction via granular computing and stacked autoencoder
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GRANULAR COMPUTING 2020年 第4期5卷 449-459页
作者: Chen, Jianhua Yuan, Wenjing Cao, Jingjing Lv, Haili Wuhan Univ Technol Sch Logist Engn Wuhan Peoples R China Minist Educ Engn Res Ctr Port Logist Technol & Equipment Wuhan Peoples R China
Accurate traffic-flow prediction is essential to traffic management. Traffic data collected in very short intervals normally contain high variability, while common preprocessing approaches applied within a window such... 详细信息
来源: 评论
Detection of Application Layer DDoS Attack by Feature Learning Using stacked autoencoder
Detection of Application Layer DDoS Attack by Feature Learni...
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International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT)
作者: Yadav, Satyajit Subramanian, Selvakumar Natl Inst Technol Dept Comp Sci & Engn Tiruchirappalli Tamil Nadu India
An Application Layer Distributed Denial of Service Attack (DDoS) is one of the biggest concerns for web security. Many detection methods are designed to mitigate DDoS attack based on IP and TCP layer instead of the Ap... 详细信息
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Manifold Regularized stacked autoencoder for Feature Learning
Manifold Regularized Stacked Autoencoder for Feature Learnin...
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IEEE International Conference on Systems, Man, and Cybernetics (SMC)
作者: Lu, Sicong Liu, Huaping Li, Chunwen Tsinghua Univ Sch Informat Sci & Technol Beijing 100084 Peoples R China
stacked autoencoders enjoy their popularization with the prosperity of deep learning in recent years. However, relative studies seldom exploit the intrinsic information buried in the interrelations between the samples... 详细信息
来源: 评论
Semisupervised Classification for Industrial Process Faults Using Modified Fisher Discriminant Analysis Assisted by stacked autoencoder
Semisupervised Classification for Industrial Process Faults ...
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Chinese Automation Congress (CAC)
作者: Deng, Xiaogang Dai, Jiabing Cao, Yuping China Univ Petr Coll Control Sci & Engn Qingdao Peoples R China
Fisher discriminant analysis (FDA) is an effective fault classification method for complicated industrial processes. However, it builds the classifier only based on the labeled training data and ignores vast amounts o... 详细信息
来源: 评论
ROBUST FEATURE LEARNING BY stacked autoencoder WITH MAXIMUM CORRENTROPY CRITERION
ROBUST FEATURE LEARNING BY STACKED AUTOENCODER WITH MAXIMUM ...
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Qi, Yu Wang, Yueming Zheng, Xiaoxiang Wu, Zhaohui Zhejiang Univ Qiushi Acad Adv Studies Hangzhou 310003 Zhejiang Peoples R China
Unsupervised feature learning with deep networks has been widely studied in the recent years. Despite the progress, most existing models would be fragile to non-Gaussian noises and outliers due to the criterion of mea... 详细信息
来源: 评论
Multifractal analysis and stacked autoencoder-based feature learning method for multivariate processes monitoring  41
Multifractal analysis and stacked autoencoder-based feature ...
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第41届中国控制会议
作者: Feng Yu Jianchang Liu Liangliang Shang Dongming Liu Department of Information Science and Engineering Northeastern University The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University School of Electrical Engineering Nantong University
Deep learning has become a popular tool for fault detection in industrial processes to learn complex nonlinear ***,the features extracted from most traditional deep networks usually ignore the geometric characters and... 详细信息
来源: 评论