Výsledky vyhledávání - Semi-supervised variational autoencoder

Fault diagnosis of power equipment based on variational autoencoder and semi‐supervised learning Autor Ye, Bo, Li, Feng, Zhang, Linghao, Chang, Zhengwei, Wang, Bin, Zhang, Xiaoyu, Bodanbai, Sayina

“…) method based on variational autoencoder and semi‐supervised learning is proposed in this paper…”
Získat plný text

Customization of latent space in semi-supervised Variational AutoEncoder Autor An, Seunghwan, Jeon, Jong-June

Získat plný text

Exploring semi-supervised variational autoencoders for biomedical relation extraction Autor Zhang, Yijia, Lu, Zhiyong

“…•A semi-supervised method is proposed based on variational autoencoders (VAE) for biomedical relation extraction…”
Získat plný text

Learning from small medical data—robust semi-supervised cancer prognosis classifier with Bayesian variational autoencoder Autor Hsu, Te-Cheng, Lin, Che

“… Results We propose a robust Semi-supervised Cancer prognosis classifier with bAyesian variational autoeNcoder (SCAN…”
Získat plný text

A mechanical fault diagnosis model with semi-supervised variational autoencoder based on long short-term memory network Autor Qu, Yuanyuan, Li, Tao, Fu, Shichen, Wang, Zhisheng, Chen, Jian, Zhang, Yupeng

“… A mechanical fault diagnosis model with Semi-Supervised Variational Autoencoder based on Long Short-Term Memory network (LSTM-SSVAE…”
Získat plný text

Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders Autor Whiteway, Matthew R., Biderman, Dan, Friedman, Yoni, Dipoppa, Mario, Buchanan, E. Kelly, Wu, Anqi, Zhou, John, Bonacchi, Niccolò, Miska, Nathaniel J., Noel, Jean-Paul, Rodriguez, Erica, Schartner, Michael, Socha, Karolina, Urai, Anne E., Salzman, C. Daniel, Cunningham, John P., Paninski, Liam

“…Recent neuroscience studies demonstrate that a deeper understanding of brain function requires a deeper understanding of behavior. Detailed behavioral…”
Získat plný text

Developing semi-supervised variational autoencoder-generative adversarial network models to enhance quality prediction performance Autor Ooi, Sai Kit, Tanny, Dave, Chen, Junghui, Wang, Kai

“… Such discrepancy exists because of the time lag for obtaining quality data. This paper proposes semi-supervised variational autoencoder-generative adversarial network (S2-VAE/GAN…”
Získat plný text

Semi-supervised Variational Autoencoder for WiFi Indoor Localization Autor Chidlovskii, Boris, Antsfeld, Leonid

“…We address the problem of indoor localization based on WiFi signal strengths. We develop a semi-supervised deep learning method able to train a prediction model…”
Získat plný text

Semi-Supervised Adversarial Variational Autoencoder Autor Zemouri, Ryad

“…We present a method to improve the reconstruction and generation performance of a variational autoencoder (VAE…”
Získat plný text

R/C buildings’ seismic damage prediction based on semi-supervised automatic differentiation variational inference deep autoencoder Autor Demertzis, K, Kostinakis, K, Morfidis, K, Iliadis, L

“…Structural damage from earthquakes has been assessed using a variety of methodologies, both statistical and, more recently, utilizing Machine Learning (ML)…”
Získat plný text

Semi-Supervised Variational Autoencoders for Out-of-Distribution Generation Autor Lavda, Frantzeska, Kalousis, Alexandros

“…) data in a semi-supervised manner. Unlike previous approaches that use new factors of variation during testing, our method uses only existing attributes from the training data but in ways that were not seen during training (e.g., small objects of a specific shape during training and large objects of the same shape during testing)…”
Získat plný text

Semi-supervised Variational Autoencoders for Regression: Application to Soft Sensors Autor Zhuang, Yilin, Zhou, Zhuobin, Alakent, Burak, Mercangoz, Mehmet

“…We present the development of a semi-supervised regression method using variational autoencoders (VAE…”
Získat plný text

Infinite Variational Autoencoder for Semi-Supervised Learning Autor Abbasnejad, M. Ehsan, Dick, Anthony, van den Hengel, Anton

“…This paper presents an infinite variational autoencoder (VAE) whose capacity adapts to suit the input data…”
Získat plný text

Semi-Supervised Variational Autoencoder for Cell Feature Extraction In Multiplexed Immunofluorescence Images Autor Sandarenu, Piumi, Chen, Julia, Slapetova, Iveta, Browne, Lois, Graham, Peter H., Swarbrick, Alexander, Millar, Ewan K.A., Song, Yang, Meijering, Erik

“… We propose a deep learning-based cell feature extraction model using a variational autoencoder with supervision using a latent subspace to extract cell features in mIF images…”
Získat plný text

A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis Autor Zhao, Zhiqian, Xu, Yeyin, Zhang, Jiabin, Zhao, Runchao, Chen, Zhaobo, Jiao, Yinghou

“… To tackle those issue, we propose a novel semi-supervised Gaussian Mixed Variational Autoencoder method, SeGMVAE, aimed at acquiring unsupervised representations that can be transferred across fine…”
Získat plný text

Semi-Supervised Deep Conditional Variational Autoencoder for Soft Sensor Modeling Autor Tang, Xiaochu, Yan, Jiawei, Li, Yuan, Zhang, Xinmin, Song, Zhihuan

“…Variational autoencoder (VAE) as an unsupervised deep generated model has been widely applied to process modeling for industrial processes due to its excellent ability in nonlinear and uncertain feature extraction…”
Získat plný text

DAS-Accelerometer Data Fusion With Semi-Supervised Graph Variational Autoencoder for In-Service Train Wheel Flat Detection Autor Dong, Yiqing, Han, Chengjia, Qu, Shuai, Zhao, Chaoyang, Madan, Aayush, Fu, Yuguang, Yang, Yaowen

“… To address these issues, this study introduces a semi-supervised learning workflow integrating multi-sensor data from Distributed Acoustic Sensing (DAS…”
Získat plný text

SSL-VQ: vector-quantized variational autoencoders for semi-supervised prediction of therapeutic targets across diverse diseases Autor Namba, Satoko, Li, Chen, Yuyama Otani, Noriko, Yamanishi, Yoshihiro

“… rare diseases, intractable diseases). Results This study presents a novel machine learning approach using multimodal vector-quantized variational autoencoders (VQ-VAEs…”
Získat plný text

Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets Autor Wang, Zihao, Wu, Zeyu, Deng, Minghua

“… To address these challenges, we proposes a flexible integration framework based on Variational Autoencoder called scGCM…”
Získat plný text

Semi-Supervised Channel Equalization Using Variational Autoencoders Autor Burshtein, David, Bery, Eli

“…We present methods for semi-supervised learning (SSL) from few pilots over nonlinear channels using variational autoencoders…”
Získat plný text