Výsledky vyhledávání - Semi-supervised variational autoencoder

A Variational Autoencoder with Semi-Supervised Latent Space for Source Term Estimation

Autoři: Abdullah Abdulaziz Mike E. Davies Steve McLaughlin a další

Zdroj: 2025 IEEE Statistical Signal Processing Workshop (SSP). :1-5

A Semi-Supervised Variational Autoencoder for Fault Detection of Low-Severity Inter-Turn Short-Circuit in PMSMs

Autoři: Mingda Zhu Du Nguyen Peihua Han a další

Zdroj: 2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD). :1-6

Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets

Autoři: Zihao Wang Zeyu Wu Minghua Deng

Zdroj: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-13 (2025)

Témata: Mosaic intergrate, Single-cell multimodal, Batch effect, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2105

Přístupová URL adresa: https://doaj.org/article/9eed07cdc94c4fa59f1c4d923d16f811

Enhancing Semi-Supervised Learning in Educational Data Mining Through Synthetic Data Generation Using Tabular Variational Autoencoder

Autoři: Georgios Kostopoulos Nikos Fazakis Sotiris Kotsiantis a další

Zdroj: Algorithms, Vol 18, Iss 10, p 663 (2025)

Témata: Educational Data Mining, fairness, prediction, semi-supervised learning, synthetic data, variational auto-encoder, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1999-4893/18/10/663; https://doaj.org/toc/1999-4893

Přístupová URL adresa: https://doaj.org/article/8551ac1d69c64fb99d52e180e6984626

S2VQ-VAE: Semi-Supervised Vector Quantised-Variational AutoEncoder for Automatic Evaluation of Trail Making Test

Autoři: Zeshen Tang Shiyu Tang Haoran Wang a další

Zdroj: IEEE Journal of Biomedical and Health Informatics. 28:4456-4470

Témata: Male, Aged, 80 and over, Trail Making Test, Deep Learning, Humans, Cognitive Dysfunction, Female, Signal Processing, Computer-Assisted, Supervised Machine Learning, Diagnosis, Computer-Assisted, Algorithms, Aged

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38819974

Semi-Supervised Detection of Structural Damage Using Variational Autoencoder and a One-Class Support Vector Machine

Autoři: Andrea Pollastro Giusiana Testa Antonio Bilotta a další

Zdroj: IEEE Access, Vol 11, Pp 67098-67112 (2023)

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, structural health monitoring, Computer Science - Artificial Intelligence, Semi-supervised damage detection, 02 engineering and technology, one-class support vector machines, TK1-9971, 0201 civil engineering, Machine Learning (cs.LG), machine learning, Artificial Intelligence (cs.AI), variational autoencoder, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering

Přístupová URL adresa: http://arxiv.org/abs/2210.05674
https://doaj.org/article/15875fd8607f4db4b3a84b3b616761b9
https://hdl.handle.net/11588/947789

A mechanical fault diagnosis model with semi-supervised variational autoencoder based on long short-term memory network

Autoři: Yuanyuan Qu Tao Li Shichen Fu a další

Zdroj: Nonlinear Dynamics. 113:459-478

SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder

Autoři: Zheng, Dihan Zou, Yihang Zhang, Xiaowen a další

Zdroj: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :25889-25899

Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Přístupová URL adresa: http://arxiv.org/abs/2403.17502

Semi-Supervised Variational Autoencoder for Cell Feature Extraction In Multiplexed Immunofluorescence Images

Autoři: Sandarenu, Piumi Chen, Julia Slapetova, Iveta a další

Zdroj: 2024 IEEE International Symposium on Biomedical Imaging (ISBI). :1-5

Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing, 3. Good health

Přístupová URL adresa: http://arxiv.org/abs/2406.15727

SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder

Autoři: Andrea Pollastro Francesco Isgrò Roberto Prevete

Zdroj: Computer Methods and Programs in Biomedicine Update, Vol 8, Iss , Pp 100213- (2025)

Témata: Deep learning, Variational autoencoders, SincNet, Anomaly detection, Seizure detection, Brain computer interfaces, Computer applications to medicine. Medical informatics, R858-859.7

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666990025000382; https://doaj.org/toc/2666-9900

Přístupová URL adresa: https://doaj.org/article/65358817b0c34f6b9f36d7d675f3d62e

Semi-Supervised Deep Conditional Variational Autoencoder for Soft Sensor Modeling

Autoři: Xiaochu Tang Jiawei Yan Yuan Li a další

Zdroj: IEEE Sensors Journal. 24:7153-7164

Customization of latent space in semi-supervised Variational AutoEncoder

Autoři: Seunghwan An Jong-June Jeon

Zdroj: Pattern Recognition Letters. 177:54-60

Speech Emotion Recognition based on Semi-Supervised Adversarial Variational Autoencoder

Autoři: Yufeng Xiao Yuqin Bo Zhiling Zheng

Zdroj: 2023 IEEE 10th International Conference on Cyber Security and Cloud Computing (CSCloud)/2023 IEEE 9th International Conference on Edge Computing and Scalable Cloud (EdgeCom). :275-280

Gaussian Mixture Variational Autoencoder for Semi-Supervised Topic Modeling

Autoři: Cangqi Zhou Hao Ban Jing Zhang a další

Zdroj: IEEE Access, Vol 8, Pp 106843-106854 (2020)

Témata: semi-supervised learning, Gaussian mixture model, Topic model, 0202 electrical engineering, electronic engineering, information engineering, variational autoencoder, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, deep generative learning, 01 natural sciences, TK1-9971, 0105 earth and related environmental sciences

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09112154.pdf
https://doaj.org/article/7e478776d5ef40bf95e175c244396031
https://dblp.uni-trier.de/db/journals/access/access8.html#ZhouBZLZ20
https://ieeexplore.ieee.org/document/9112154
https://doi.org/10.1109/ACCESS.2020.3001184

Semi-Supervised Recurrent Variational Autoencoder Approach for Visual Diagnosis of Atrial Fibrillation

Autoři: Nahuel Costa Luciano Sanchez Ines Couso

Zdroj: Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Universidad de Oviedo (UNIOVI)
IEEE Access, Vol 9, Pp 40227-40239 (2021)

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, recurrent neural networks, variational autoencoder, heart disease, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, time series, Graphical Analysis, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09373315.pdf
http://hdl.handle.net/10651/60152
https://doaj.org/article/975666e144234f298f161d810016c804
https://digibuo.uniovi.es/dspace/handle/10651/60152
https://ieeexplore.ieee.org/document/9373315
https://dblp.uni-trier.de/db/journals/access/access9.html#CostaSC21

Fault diagnosis of power equipment based on variational autoencoder and semi‐supervised learning

Autoři: Bo Ye Feng Li Linghao Zhang a další

Zdroj: Concurrency and Computation: Practice and Experience. 36

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Semi-Supervised Relevance Variable Selection and Hierarchical Feature Regularization Variational Autoencoder for Nonlinear Quality-Related Process Monitoring

Autoři: Yao Ma Hongbo Shi Shuai Tan a další

Zdroj: IEEE Transactions on Instrumentation and Measurement. 72:1-11

Semi-supervised Learning Using Variational Autoencoder - A Cluster Based Approach

Autoři: Sunil Kumar Vengalil Neelam Sinha

Zdroj: Lecture Notes in Computer Science ISBN: 9783031126994

Generating Universum Instances from Variational Autoencoder Latent Space for Semi-supervised Learning

Autoři: Rosa Torres-Calderon Bernardo Gonzalez-Torres Ricardo Menchaca-Mendez

Zdroj: Communications in Computer and Information Science ISBN: 9783031772924

A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder

Autoři: Cunmei Ji Yutian Wang Zhen Gao a další

Zdroj: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19:2049-2059

Témata: 0301 basic medicine, MicroRNAs, 03 medical and health sciences, Research Design, 0206 medical engineering, Computational Biology, Humans, Genetic Predisposition to Disease, Supervised Machine Learning, 02 engineering and technology, Algorithms, 3. Good health

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/33735084
https://ieeexplore.ieee.org/document/9381658
https://www.ncbi.nlm.nih.gov/pubmed/33735084