Search Results - "Supervised variational autoencoder"

A supervised variational autoencoder framework for dimensionality reduction and predictive modeling in high-dimensional socioeconomic data

Authors: Pei Xue Tianshun Li

Source: Journal of Economy and Technology, Vol 4, Iss, Pp 9-19 (2026)

Subject Terms: High-dimensional data, Socioeconomic forecasting, Economics as a science, Electronic computers. Computer science, Supervised variational autoencoder, Social Sciences, QA75.5-76.95, Dimensionality reduction, HB71-74, Nonlinear representation learning, Predictive modeling

Access URL: https://doaj.org/article/38a6a8d09a8045ceaf6f58f757d3bf5e

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

Authors: Mingda Zhu Du Nguyen Peihua Han et al.

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

Noise-Aware Self-Supervised Variational Autoencoder for Speech Enhancement

Authors: Amogh Dixit K. S. Nataraj Nitya Tiwari

Source: Circuits, Systems, and Signal Processing. 44:5010-5043

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

Authors: Yuanyuan Qu Tao Li Shichen Fu et al.

Source: Nonlinear Dynamics. 113:459-478

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

Authors: Sandarenu, Piumi Chen, Julia Slapetova, Iveta et al.

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

Subject Terms: 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

Access URL: http://arxiv.org/abs/2406.15727

Structural Dynamics Feature Learning Using a Supervised Variational Autoencoder

Authors: Kiran Bacsa Wei Liu Imad Abdallah et al.

Source: Journal of Engineering Mechanics. 151

Structural Dynamics Feature Learning Using a Supervised Variational Autoencoder

Authors: Bacsa, Kiran Liu, Wei Abdallah, Imad et al.

Source: Journal of Engineering Mechanics, 151 (2)

File Description: application/application/pdf

Access URL: http://hdl.handle.net/20.500.11850/710877

Predicting Fetal Outcomes from Cardiotocography Signals Using a Supervised Variational Autoencoder

Authors: Tolladay, John Albert, Beth Jones, Gabriel Davis

Subject Terms: Machine Learning, FOS: Computer and information sciences, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2509.06540

Self-Supervised Variational Autoencoder for Unsupervised Object Counting from Very-High-Resolution Satellite Imagery: Applications in Dwelling Extraction in FDP Settlement Areas

Authors: Gella, Getachew Workineh Gangloff, Hugo Wendt, Lorenz et al.

Contributors: Gella, Getachew Workineh Gangloff, Hugo Wendt, Lorenz et al.

Source: IEEE Transactions on Geoscience and Remote Sensing. 62:1-18

Subject Terms: 15. Life on land, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Access URL: https://eplus.uni-salzburg.at/id/9453423
https://doi.org/10.1109/tgrs.2023.3345179

Customization of latent space in semi-supervised Variational AutoEncoder

Authors: Seunghwan An Jong-June Jeon

Source: Pattern Recognition Letters. 177:54-60

Efficient few-shot medical image segmentation via self-supervised variational autoencoder

Authors: Yanjie Zhou Feng Zhou Fengjun Xi et al.

Source: Medical Image Analysis. 104:103637

Self-supervised variational autoencoder towards recommendation by nested contrastive learning

Authors: Jing Wang Jun Wu Caiyan Jia et al.

Source: Applied Intelligence. 53:18887-18897

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

Using Semi‐supervised Variational Autoencoder and Acute fMRI Changes to Predict Antidepressant Treatment Responses Among Older Adults with Depression

Authors: Linghai Wang Jihui Lee Akiko Mizuno et al.

Source: Alzheimer's & Dementia. 19

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 3. Good health

Self-supervised Variational Autoencoder for Recommender Systems

Authors: Jing Wang Gangdu Liu Jun Wu et al.

Source: 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). :831-835

A Joint Semi-Supervised Variational Autoencoder and Transfer Learning Model for Designing Molecular Transition Metal Complexes

Authors: Tzuhsiung Yang Tzu-Hang Lee Yu-Ting Chen et al.

Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder

Authors: Yi Yang Fan Zhou Shengming Zhang

Source: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. :846-852

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

Access URL: https://www.aclweb.org/anthology/2020.acl-main.78.pdf

Early detection and diagnosis of wind turbine abnormal conditions using an interpretable supervised variational autoencoder model

Authors: Oliveira-Filho, Adaiton Zemouri, Ryad Cambron, Philippe et al.

Index Terms: Article publié dans une revue, révisé par les pairs, Non évalué par les pairs

URL: https://espace2.etsmtl.ca/id/eprint/27099/
https://espace2.etsmtl.ca/id/eprint/27099
http://dx.doi.org/10.3390/en16124544
10.3390/en16124544

An Improved Semi-supervised Variational Autoencoder with Gate Mechanism for Text Classification

Authors: Haiming Ye Weiwen Zhang Mengna Nie

Source: International Journal of Pattern Recognition and Artificial Intelligence. 36

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

Improved Cancer Classification with Supervised Variational Autoencoder on DNA Methylation Data

Authors: Keun Ho Ryu Erdenebileg Batbaatar

Source: Smart Innovation, Systems and Technologies ISBN: 9789813367562

Subject Terms: 3. Good health

Access URL: https://link.springer.com/chapter/10.1007/978-981-33-6757-9_5

Semi-supervised Variational Autoencoder for WiFi Indoor Localization

Authors: Leonid Antsfeld Boris Chidlovskii

Source: 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). :1-8

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

Access URL: https://dblp.uni-trier.de/db/conf/ipin/ipin2019.html#ChidlovskiiA19
https://lens.org/012-936-148-987-467