Search Results - "Extreme learning machine autoencoder"

Predicting Channel Delay State Information in 5G-TSN Systems Using Extreme Learning Machine Autoencoder (ELM-AE) Model Based on Intelligent Deep Extreme Learning Machine (DELM)

Authors: Chaoyi Zhang Jianquan Wang Meixia Fu

Source: IEEE Internet of Things Journal. 11:39375-39394

Histopathological image recognition with discriminant-oriented extreme learning machine autoencoder based deep feature dimension reduction

Authors: Rong Cheng Yu Zhao Yanping Bai et al.

Source: Signal, Image and Video Processing. 19

Graph Convolutional Extreme Learning Machine Autoencoder for Graph Embedding

Authors: Xinyi Lin Xiaoyun Chen Yanming Lin

Source: 2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE). :777-782

A bi-level training approach based on extreme learning machine autoencoder for data classification

Authors: Hong Li Houqiang Wang

Source: 2022 18th International Conference on Computational Intelligence and Security (CIS). :171-175

Homogeneous ensemble extreme learning machine autoencoder with mutual representation learning and manifold regularization for medical datasets

Authors: Wenjian Chen Xiaoyun Chen Yanming Lin

Source: Applied Intelligence. 53:15476-15495

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Application of Extreme Learning Machine- Autoencoder to Medium Term Electricity Price Forecasting

Authors: Arsalan Najafi Omid Homaee Mehdi Golshan et al.

Source: IEEE Transactions on Industry Applications. 59:7214-7223

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A novel adaptive extreme learning machine-autoencoder algorithm for online monitoring and fault detection

Authors: Ruining Tong Xiao Li Peng Li et al.

Source: 2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS). :1-6

Fuzzt Set-Based Kernel Extreme Learning Machine Autoencoder for Multi-Label Classification

Authors: Qingshuo Zhang Eric C. C. Tsang Meng Hu et al.

Source: 2021 International Conference on Machine Learning and Cybernetics (ICMLC). :1-6

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Multi-label learning with kernel extreme learning machine autoencoder

Authors: Dawei Zhao Yusheng Cheng Yibin Wang et al.

Source: Knowledge-Based Systems. 178:1-10

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://doi.org/10.1016/j.knosys.2019.04.002
https://doi.org/10.1016/j.knosys.2019.04.002
https://www.sciencedirect.com/science/article/pii/S0950705119301613
https://dblp.uni-trier.de/db/journals/kbs/kbs178.html#ChengZWP19

Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Representation

Authors: Hongwei Ge Weiting Sun Mingde Zhao et al.

Source: IEEE Access, Vol 7, Pp 13433-13444 (2019)

Subject Terms: graph embedding, Extreme learning machine, denoising, 0202 electrical engineering, electronic engineering, information engineering, stacked autoencoder, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08620205.pdf
https://doaj.org/article/1251a15fd25541228baefa2b3f78b6f7
https://dblp.uni-trier.de/db/journals/access/access7.html#GeSZY19
https://ieeexplore.ieee.org/document/8620205/

Imbalanced Data Classification Based on Extreme Learning Machine Autoencoder

Authors: Jun-Fen Chen Chu Shen Su-Fang Zhang et al.

Source: 2018 International Conference on Machine Learning and Cybernetics (ICMLC). :399-404

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/icmlc/icmlc2018.html#ShenZZLC18
https://ieeexplore.ieee.org/document/8526934/

Graph Embedded Extreme Learning Machine Autoencoder with Multilayer Cyclic Structure.

Authors: Di Wu ZiHan Chen

Source: Automatic Control & Computer Sciences; Aug2025, Vol. 59 Issue 4, p516-529, 14p

Generalized extreme learning machine autoencoder and a new deep neural network

Authors: Junying Hu Chunxia Zhang Jiangshe Zhang et al.

Source: Neurocomputing. 230:374-381

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://www.sciencedirect.com/science/article/pii/S092523121631503X
https://dblp.uni-trier.de/db/journals/ijon/ijon230.html#SunZZH17
https://dl.acm.org/doi/10.1016/j.neucom.2016.12.027
https://www.sciencedirect.com/science/article/pii/S092523121631503X

Extreme learning machine autoencoder for data augmentation

Authors: Pablo Barros Bruno J. T. Fernandes Janderson Ferreira et al.

Source: 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI). :1-6

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Training of an Extreme Learning Machine Autoencoder Based on an Iterative Shrinkage-Thresholding Optimization Algorithm

Authors: José A. Vásquez-Coronel Marco Mora Karina Vilches

Source: Applied Sciences, Vol 12, Iss 18, p 9021 (2022)

Subject Terms: autoencoder, feature extraction, extreme learning machine, shrinkage-thresholding algorithms, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3417/12/18/9021; https://doaj.org/toc/2076-3417

Access URL: https://doaj.org/article/73ef4c9626284eefbfd6f777648dce1a

Histopathological image recognition with discriminant-oriented extreme learning machine autoencoder based deep feature dimension reduction.

Authors: Cheng, Rong Zhao, Yu Bai, Yanping et al.

Source: Signal, Image & Video Processing; May2025, Vol. 19 Issue 5, p1-15, 15p

Anomaly Detection for Internet of Things Based on Compressed Sensing and Online Extreme Learning Machine Autoencoder

Authors: Yun Yu Xiaojun Wu Sheng Yuan

Source: Journal of Physics: Conference Series. 1544:012027

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 15. Life on land, 7. Clean energy

Access URL: https://iopscience.iop.org/article/10.1088/1742-6596/1544/1/012027/pdf
https://iopscience.iop.org/article/10.1088/1742-6596/1544/1/012027
https://ui.adsabs.harvard.edu/abs/2020JPhCS1544a2027Y/abstract

Spatial-prior generalized fuzziness extreme learning machine autoencoder-based active learning for hyperspectral image classification

Authors: Ahmad M. Shabbir S. Oliva D. et al.

Source: Optik. 206:163712

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Active learning, Autoencoder, Extreme learning machine, Fuzziness, Spatial spectral information, 02 engineering and technology

Access URL: http://ui.adsabs.harvard.edu/abs/2020Optik.206p3712A/abstract
https://www.sciencedirect.com/science/article/pii/S0030402619316109
http://www.sciencedirect.com/science/article/pii/S0030402619316109

基于残差补偿的极限学习机自编码器. (Chinese)

Alternate Title: Residual Compensation Extreme Learning Machine Autoencoder. (English)

Authors: 陈文坚 陈晓云 汪巧萍

Source: Journal of Fuzhou University; 2022, Vol. 50 Issue 1, p86-95, 10p

Homogeneous ensemble extreme learning machine autoencoder with mutual representation learning and manifold regularization for medical datasets.

Authors: Chen, Wenjian Chen, Xiaoyun Lin, Yanming

Source: Applied Intelligence; Jun2023, Vol. 53 Issue 12, p15476-15495, 20p

Subject Terms: MACHINE learning, LEARNING ability, DEEP learning, VIDEO coding