Search Results - supervised variational autoencoder (SVAE)

Adversarial Training-Based Deep Layer-Wise Probabilistic Network for Enhancing Soft Sensor Modeling of Industrial Processes by Xie, Yongfang, Wang, Jie, Xie, Shiwen, Chen, Xiaofang

“… Specifically, a supervised variational autoencoder (SVAE) is first designed to extract the quality-relevant feature representation. Then, a deep SVAE (DSVAE…”
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Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility by Tu, Liyun, Talbot, Austin, Gallagher, Neil M., Carlson, David E.

“… Supervised Variational Autoencoders (SVAEs) have previously been used for this purpose, as a carefully designed decoder can be used as an interpretable generative model…”
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SMAS: Structural MRI-based AD Score using Bayesian supervised VAE by Nemali, A., Bernal, J., Yakupov, R., Singh, D., Dyrba, M., Incesoy, E.I., Mukherjee, S., Peters, O., Ersözlü, E., Hellmann-Regen, J., Preis, L., Priller, J., Spruth, E., Altenstein, S., Lohse, A., Schneider, A., Fliessbach, K., Kimmich, O., Wiltfang, J., Hansen, N., Schott, B., Rostamzadeh, A., Glanz, W., Butryn, M., Buerger, K., Janowitz, D., Ewers, M., Perneczky, R., Rauchmann, B., Teipel, S., Kilimann, I., Goerss, D., Laske, C., Sodenkamp, S., Spottke, A., Coenjaerts, M., Brosseron, F., Lüsebrink, F., Dechent, P., Scheffler, K., Hetzer, S., Kleineidam, L., Stark, M., Jessen, F., Duzel, E., Ziegler, G.

“…)-related morphometric patterns using a deep learning Bayesian-supervised Variational Autoencoder (Bayesian-SVAE…”
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Integration of incomplete multi-omics data using Knowledge Distillation and Supervised Variational Autoencoders for disease progression prediction by Ranjbari, Sima, Arslanturk, Suzan

“…The rapid advancement of high-throughput technologies in the biomedical field has resulted in the accumulation of diverse omics data types, such as mRNA…”
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A supervised variational autoencoder framework for dimensionality reduction and predictive modeling in high-dimensional socioeconomic data by Xue, Pei, Li, Tianshun

“…We introduce an estimation framework utilizing a Supervised Variational Autoencoder (SVAE…”
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Label Noise Robust Image Representation Learning Based on Supervised Variational Autoencoders in Remote Sensing by Sumbul, Gencer, Demir, Begum

“… To this end, the proposed method combines a supervised variational autoencoder (SVAE) with any kind of DNN…”
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Autoencoding a Soft Touch to Learn Grasping from On‐Land to Underwater by Guo, Ning, Han, Xudong, Liu, Xiaobo, Zhong, Shuqiao, Zhou, Zhiyuan, Lin, Jian, Dai, Jiansheng, Wan, Fang, Song, Chaoyang

“…) using a supervised variational autoencoder (SVAE). A high‐framerate camera captures the whole…”
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Supervised desertification classification using Siamese Variational Autoencoder by Chouikhi, Farah, Ben Abbes, Ali, Riadh Farah, Imed

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Soft sensor modeling for small data scenarios based on data enhancement and selective ensemble by Jin, Huaiping, Huang, Shuqi, Wang, Bin, Chen, Xiangguang, Yang, Biao, Qian, Bin

“… Thus, a soft sensor method based on data enhancement and selective ensemble (DESE) is proposed. First, a generative model is proposed for generating virtual labeled samples by combining supervised variational…”
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Semi-supervised Deep Learning in Motor Imagery-Based Brain-Computer Interfaces with Stacked Variational Autoencoder by Chen, Junjian, Yu, Zhuliang, Gu, Zhenghui

“… To address this problem, we propose a semi-supervised deep learning method based on the stacked variational autoencoder (SVAE…”
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Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility by Tu, Liyun, Talbot, Austin, Gallagher, Neil, Carlson, David

“… Supervised Variational Autoencoders (SVAEs) have previously been used for this purpose, where a carefully designed decoder can be used as an interpretable generative model while the supervised objective ensures a predictive latent representation…”
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A semi-supervised temporal modeling strategy integrating VAE and Wasserstein GAN under sparse sampling constraints by Hu, Yujie, Xie, Changrui, Chen, Xi

“… To address this issue, a semi-supervised modeling strategy based on Variational Autoencoder (VAE…”
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RECNN: Restoration and extraction of incomplete brillouin gain spectrum based on CNN framework combined with SVAE and attention mechanism by Shu, Han, Zheng, Huan, Qin, Yali

“…In this paper, we propose a novel method under convolutional neural network framework combined with a supervised variational autoencoder and an attention mechanism, named the Restoration…”
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Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing by Gencer Sumbul, Demir, Begüm

“… To this end, the proposed method combines a supervised variational autoencoder (SVAE) with any kind of DNN…”
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Traffic Statistical Upper Limit Prediction from Flow Features in Network Provisioning by Takeshita, Erina, Kosugi, Tomoya, Yoshida, Tomoaki

“…Machine learning-based network traffic prediction has been a hot research topic in recent works. The majority of recently developed prediction models have…”
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Structural MRI‐Based AD Score using Bayesian VAEs by Nemali, Aditya, Moyano, Jose Bernal, Yakupov, Renat, Schütze, Hartmut, Spottke, Annika, Ramirez, Alfredo, Schneider, Anja, Metzger, Coraline D., Laske, Christoph, Bittner, Daniel, Heneka, Michael T., Peters, Oliver, Speck, Oliver, Glanz, Wenzel, Wagner, Michael, Jessen, Frank, Düzel, Emrah, Ziegler, Gabriel

“…). To address these issues, we here propose a Structural MRI‐Based AD Score (SMAS) using a Bayesian supervised Variational Autoencoder (Bayesian sVAE…”
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Combining Virtual Sample Generation Based Data Enhancement and Multi-objective Optimization Based Selective Ensemble for Soft Sensor Modeling by Huang, Shuqi, Jin, Huaiping, Yang, Biao, Liu, Haipeng

“… First, a supervised variational autoencoder (SVAE) is constructed by introducing quality variable…”
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Novel Semi-Supervised Deep Probabilistic Slow Feature Extraction for Online Chemical Process Soft Sensing Application by Wang, Jiayu, Yao, Le, Xiong, Weili

“… To handle these characteristics, a feature extractor Siamese variational autoencoder (SVAE) model is designed for obtaining probabilistic slow features…”
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SMAS: Structural MRI-Based AD Score using Bayesian VAE by Nemali, Aditya, Bernal, Jose, Yakupov, Renat, Singh, Devesh, Dyrba, Martin, Incesoy, Enise, Mukherjee, Sach, Peters, Oliver, Hellmann, Julian, Ersoezlue, Ersin, Preis, Lukas, Priller, Josef, Spruth, Eike, Altenstein, Slawek, Lohse, Andrea, Schneider, Anja, Fliessbach, Klaus, Kimmich, Okka, Wiltfang, Jens, Hansen, Niels, Schott, Bjoernhendrik, Rostamzadeh, Ayda, Glanz, Wenzel, Butryn, Michaela, Buerger, Katharina, Janowitz, Daniel, Ewers, Michael, Perneczky, Robert, Rauchmann, Boris, Teipel, Stefan, Kilimann, Ingo, Goerss, Doreen, Laske, Christoph, Sodenkamp, Sebastian, Spottke, Annika, Coenjaerts, Marie, Brosseron, Frederic, Falk Luesebrink, Dechent, Peter, Scheffler, Klaus, Hetzer, Stefan, Kleineidam, Luca, Stark, Melina, Jessen, Frank, Duezel, Emrah, Ziegler, Gabriel

“…) related morphometric patterns using a deep learning Bayesian supervised Variational Autoencoder (Bayesian sVAE…”
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Generative Principal Component Regression via Variational Inference by Talbot, Austin, Keller, Corey J, Carlson, David E, Kotlar, Alex V

“… To address this problem, we develop a novel objective based on supervised variational…”
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