Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study by Fabrice Ferré, Stéphanie Allassonnière, Clément Chadebec, Vincent Minville

“…Deep learning methods for generating artificial data in health care include data augmentation by variational autoencoders (VAE) technology. …”
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Target Speaker Extraction under Noisy Underdetermined Conditions Using Conditional Variational Autoencoder, Global Style Token, and Neural Postfilter by Rui Wang, Takuya Fujimura, Tomoki Toda

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Copula entropy regularization transformer with C2 variational autoencoder and fine-tuned hybrid DL model for network intrusion detection by Srinivas Akkepalli, Sagar K

Subjects: “…Variational autoencoder…”
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EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2. by Junhao Liu, Zeyu Luo, Rui Wang, Xin Li, Yawen Sun, Zongqing Chen, Yu-Juan Zhang

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EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2 by Junhao Liu, Zeyu Luo, Rui Wang, Xin Li, Yawen Sun, Zongqing Chen, Yu-Juan Zhang

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Erratum: Latent space improved masked reconstruction model for human skeleton-based action recognition by Frontiers Production Office

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Latent space improved masked reconstruction model for human skeleton-based action recognition by Enqing Chen, Xueting Wang, Xin Guo, Ying Zhu, Dong Li

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VJDNet: A Simple Variational Joint Discrimination Network for Cross-Image Hyperspectral Anomaly Detection by Shiqi Wu, Xiangrong Zhang, Guanchun Wang, Puhua Chen, Jing Gu, Xina Cheng, Licheng Jiao

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Improving Local Fidelity and Interpretability of LIME by Replacing Only the Sampling Process With CVAE by Daisuke Yasui, Hiroshi Sato

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Enhanced Interpretable Forecasting of Cryptocurrency Prices Using Autoencoder Features and a Hybrid CNN-LSTM Model by Wajeeha Badar, Shabana Ramzan, Ali Raza, Norma Latif Fitriyani, Muhammad Syafrudin, Seung Won Lee

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SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder by Andrea Pollastro, Francesco Isgrò, Roberto Prevete

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VAIM-CFF: a variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions by Manal Almaeen, Tareq Alghamdi, Brandon Kriesten, Douglas Adams, Yaohang Li, Huey-Wen Lin, Simonetta Liuti

“…Abstract We develop a new methodology for extracting Compton form factors (CFFs) from deeply virtual exclusive reactions such as the unpolarized DVCS cross section using a specialized inverse problem solver, a variational autoencoder inverse mapper (VAIM). The VAIM-CFF framework not only allows us access to a fitted solution set possibly containing multiple solutions in the extraction of all 8 CFFs from a single cross section measurement, but also accesses the lost information contained in the forward mapping from CFFs to cross section. …”
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Elucidating structure-property correlations in ferroelectric Hf0.5Zr0.5O2 films using variational autoencoders by Kévin Alhada-Lahbabi, Brice Gautier, Damien Deleruyelle, Grégoire Magagnin

“…Here, we present a novel framework combining phase-field (PF) modeling with Variational Autoencoders (VAEs) to uncover structure-property correlations in polycrystalline HZO. …”
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Preventing Posterior Collapse with DVAE for Text Modeling by Tianbao Song, Zongyi Huang, Xin Liu, Jingbo Sun

Subjects: “…variational autoencoder…”
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hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction by Giulia Cisotto, Giulia Cisotto, Alberto Zancanaro, Italo F. Zoppis, Sara L. Manzoni

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Extreme Grid Operation Scenario Generation Framework Considering Discrete Failures and Continuous Output Variations by Dong Liu, Guodong Guo, Zhidong Wang, Fan Li, Kaiyuan Jia, Chenzhenghan Zhu, Haotian Wang, Yingyun Sun

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Aviation Fuel Pump Fault Diagnosis Based on Conditional Variational Self-Encoder Adaptive Synthetic Less Data Enhancement by Tiejun Liu, Yaoping Zhang, Xiaojing Yin, Weidong He

Subjects: “…conditional variational autoencoder adaptive synthetic…”
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Automated Anomaly Detection in Blast Furnace Shaft Static Pressure Using Adversarial Autoencoders and Mode Decomposition by Xiaodong Sun, Jie Zhu, Bing Tang, Zhaohui Jiang

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Anomaly detection model for multivariate time series based on stochastic Transformer by Weigang HUO, Rui LIANG, Yonghua LI

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A Transformer–VAE Approach for Detecting Ship Trajectory Anomalies in Cross-Sea Bridge Areas by Jiawei Hou, Hongzhu Zhou, Manel Grifoll, Yusheng Zhou, Jiao Liu, Yun Ye, Pengjun Zheng

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