Výsledky vyhledávání - "Semi-supervised autoencoder"

Stacked semi-supervised autoencoder-regularized RVFLNs for reliable prediction of molten iron quality in blast furnace

Autoři: Ping Zhou Peng Zhao Zihui Ou a další

Zdroj: Neural Computing and Applications. 37:10425-10438

Joint loss learning-enabled semi-supervised autoencoder for bearing fault diagnosis under limited labeled vibration signals

Autoři: Mingxuan Liang Kai Zhou

Zdroj: Journal of Vibration and Control. 30:4537-4550

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0201 civil engineering

A Semi-Supervised Autoencoder Approach for Efficient Intrusion Detection in Network Traffic

Autoři: Arthur Almeida Luís Gonçalves Cleber Zanchettin a další

Zdroj: 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI). :1-6

A Semi-Supervised Autoencoder With an Auxiliary Task (SAAT) for Power Transformer Fault Diagnosis Using Dissolved Gas Analysis

Autoři: Sunuwe Kim Soo-Ho Jo Wongon Kim a další

Zdroj: IEEE Access, Vol 8, Pp 178295-178310 (2020)

Témata: 0202 electrical engineering, electronic engineering, information engineering, power transformer, Semi-supervised autoencoder, health feature space, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, fault diagnosis, dissolved gas analysis, 7. Clean energy, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09210082.pdf
https://doaj.org/article/30784f3cb1d24044b0f85653082d18ac
https://ieeexplore.ieee.org/document/9210082
https://dblp.uni-trier.de/db/journals/access/access8.html#KimJKPJHKY20

Tree Health Assessment from UAV Images: Improving Object Detection and Classification Using Hard Negative Mining and Semi-Supervised Autoencoder

Autoři: Jemaa, Hela Bouachir, Wassim Leblon, Brigitte a další

Zdroj: 2023 20th Conference on Robots and Vision (CRV). :312-319

Popis souboru: pdf

Semi-Supervised Autoencoder for Chemical Gas Classification with FTIR Spectrum

Autoři: Hee-Deok Jang Seokjoon Kwon Hyunwoo Nam a další

Zdroj: Sensors (Basel)
Sensors, Vol 24, Iss 11, p 3601 (2024)

Témata: Fourier transform infrared, Chemical technology, Communication, deep neural network, semi-supervised autoencoder, 0202 electrical engineering, electronic engineering, information engineering, TP1-1185, 02 engineering and technology, chemical gas classification, 01 natural sciences, chemical warfare agent, 0104 chemical sciences

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38894390
https://doaj.org/article/c9e861611d4d47a9936fd04301e21405

A Semi-Supervised Autoencoder-Based Approach for Protein Function Prediction

Autoři: Richa Dhanuka Anushree Tripathi Jyoti P. Singh

Zdroj: IEEE Journal of Biomedical and Health Informatics. 26:4957-4965

Témata: Machine Learning, 0301 basic medicine, 03 medical and health sciences, 0206 medical engineering, Humans, Proteins, 02 engineering and technology

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35349463

A semi-supervised autoencoder for autism disease diagnosis

Autoři: Wutao Yin Longhai Li Fang-Xiang Wu

Zdroj: Neurocomputing. 483:140-147

Témata: 03 medical and health sciences, 0302 clinical medicine

AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework

Autoři: Angshul Majumdar Saurabh Sahu M. Girish Chandra a další

Zdroj: 2021 International Joint Conference on Neural Networks (IJCNN). :1-7

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2021.html#KumarSMC21

Semi-Supervised Autoencoder With Joint Loss Learning for Bearing Fault Detection

Autoři: Kai Zhou Yang Zhang Jiong Tang

Zdroj: Volume 12: 35th Conference on Mechanical Vibration and Sound (VIB).

Comprehensive Analysis of Android Malware detection through Semi-supervised Autoencoder models

Autoři: Neda Firoz Abdullah Bin Firoz Mohammad Sadman Tahsin

Video Summarization through Total Variation, Deep Semi-supervised Autoencoder and Clustering Algorithms

Autoři: Eden Pereira da Silva Leandro Tavares da Silva Eliaquim Monteiro Ramos a další

Zdroj: Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. :315-322

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

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/visapp/visapp2020-1.html#SilvaRSCG20

Development of Fault Diagnosis Model based on Semi-supervised Autoencoder

Autoři: Yongjae Jeon Kyumin Kim Yelim Lee a další

Zdroj: PHM Society European Conference. 8:7

Scssa:A Clustering Method for Single Cell Rna-Seq Data Based on Semi-Supervised Autoencoder

Autoři: Jian-Ping Zhao Tong-Shuai Hou Yansen Su a další

Zdroj: SSRN Electronic Journal.

Témata: 0301 basic medicine, 03 medical and health sciences, Sequence Analysis, RNA, Gene Expression Profiling, 0206 medical engineering, Cluster Analysis, RNA, RNA-Seq, 02 engineering and technology, Single-Cell Analysis

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36377123

An interpretable health indicator for bearing condition monitoring based on semi-supervised autoencoder latent space variance maximization

Autoři: Xieyi Chen Yi Wang Lihua Meng a další

Zdroj: Measurement Science and Technology. 34:125135

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0201 civil engineering

A semi-supervised autoencoder framework for joint generation and classification of breathing

Autoři: Pastor Serrano, O. (author) Lathouwers, D. (author) Perko, Z. (author)

Témata: Breathing signals, Convolutional neural network, Deep learning, Probabilistic autoencoder, Respiratory motion, Semi-supervised learning, journal article

URL: http://resolver.tudelft.nl/uuid:01eb8725-c489-4481-ae21-a4e84ce128c4
http://www.scopus.com/inward/record.url?scp=85112415900&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85112415900&partnerID=8YFLogxK
Computer Methods and Programs in Biomedicine--0169-2607--52535401-c4f4-4a16-9b9d-fe6aa66a8e91

Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning

Autoři: Qing He Dan Luo Xin Jin a další

Zdroj: 2015 IEEE International Conference on Data Mining. :1141-1146

Témata: 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice

A semi-supervised autoencoder framework for joint generation and classification of breathing

Autoři: Pastor-Serrano, Oscar Lathouwers, Danny Perkó, Zoltán

Témata: Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing, text

URL: http://arxiv.org/abs/2010.15579

Semi-Supervised Autoencoder: A Joint Approach of Representation and Classification

Autoři: Yang Haomin Wu Haiyan Ren Hai-jun a další

Zdroj: 2015 International Conference on Computational Intelligence and Communication Networks (CICN). :1424-1430

Témata: 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/7546333/
http://ieeexplore.ieee.org/document/7546333/

Stacked semi-supervised autoencoder-regularized RVFLNs for reliable prediction of molten iron quality in blast furnace.

Autoři: Zhou, Ping Zhao, Peng Ou, Zihui a další

Zdroj: Neural Computing & Applications; Jun2025, Vol. 37 Issue 17, p10425-10438, 14p

Témata: BLAST furnaces, FEATURE extraction, ARTIFICIAL neural networks, MACHINE learning, MATHEMATICAL regularization, LIQUID iron