Výsledky vyhledávání - "Variational autoencoder"

The shape variational autoencoder: A deep generative model of part‐segmented 3D objects Autor Nash, C., Williams, C. K. I.

“…We introduce a generative model of part‐segmented 3D objects: the shape variational auto‐encoder (ShapeVAE). The ShapeVAE describes a joint distribution over…”
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Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex Autor Han, Kuan, Wen, Haiguang, Shi, Junxing, Lu, Kun-Han, Zhang, Yizhen, Fu, Di, Liu, Zhongming

“…) from three human subjects passively watching natural videos. Compared to CNN, VAE could predict the video-evoked cortical responses with comparable accuracy in early visual areas, but relatively lower accuracy in higher-order visual areas…”
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Representation learning of resting state fMRI with variational autoencoder Autor Kim, Jung-Hoon, Zhang, Yizhen, Han, Kuan, Wen, Zheyu, Choi, Minkyu, Liu, Zhongming

“…•Variational auto-encoder disentangles generative factors of resting state fMRI activity.•Variational auto-encoder trained with unsupervised learning extracts…”
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MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer’s disease progression modelling Autor Martí-Juan, Gerard, Lorenzi, Marco, Piella, Gemma

“…•A multi-channel model based on recurrent variational autoencoders was proposed to capture spatial and temporal evolution of AD using multimodal data…”
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AD-VAE: Adversarial Disentangling Variational Autoencoder Autor Silva, Adson, Farias, Ricardo

“… To address these issues, we propose a novel framework called AD-VAE, specifically for SSPP FR, using a combination of variational autoencoder…”
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Sensing anomaly of photovoltaic systems with sequential conditional variational autoencoder Autor Li, Ding, Zhang, Yufei, Yang, Zheng, Jin, Yaohui, Xu, Yanyan

“… This study proposes the Sequential Conditional Variational Autoencoder (SCVAE), which can cope with the sequential impacts of the environment on PV…”
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An extended variational autoencoder for cross-subject electromyograph gesture recognition Autor Zhang, Zhen, Ming, Yuewei, Shen, Quming, Wang, Yanyu, Zhang, Yuhui

“… However, cross-subject tasks remain challenging due to inherent individual differences. To address this, a novel approach for hand gesture recognition is proposed that leverages a subject-generalized variational autoencoder…”
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Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition Autor Wang, Yixin, Qiu, Shuang, Li, Dan, Du, Changde, Lu, Bao-Liang, He, Huiguang

“… To solve this problem, we propose a multi-modal domain adaptive variational autoencoder (MMDA-VAE) method, which learns shared cross-domain latent representations of the multi-modal data…”
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Attenuation Tomography Using Low-Frequency Ultrasound With Variational Autoencoder for Thorax Imaging: Experimental Study Autor Zhang, Tong, Shi, Haokang, Lin, Zhichao, Cao, Yeyu, Guo, Rui, Zhang, Haolin, Li, Maokun, Yang, Fan, Xu, Shenheng

“…In this paper, we introduce a novel inversion methodology employing the variational autoencoder (VAE…”
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Deep Variational Autoencoder for Mapping Functional Brain Networks Autor Qiang, Ning, Dong, Qinglin, Ge, Fangfei, Liang, Hongtao, Ge, Bao, Zhang, Shu, Sun, Yifei, Gao, Jie, Liu, Tianming

“… In this work, we proposed a novel generative model: deep variational autoencoder (DVAE) to tackle the challenge of insufficient data and incomplete supervision…”
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Cross-Modal Information Recovery and Enhancement Using Multiple-Input-Multiple-Output Variational Autoencoder Autor Liang, Jessica E.

“…) variational autoencoder (VAE) and subsequently apply it to cross-modal information recovery and enhancement…”
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An LSTM-based adversarial variational autoencoder framework for self-supervised neural decoding of behavioral choices Autor Salsabilian, Shiva, Lee, Christian, Margolis, David, Najafizadeh, Laleh

“… To address subject variability in decoding neural activity, adversarial learning in combination with a long short-term memory-based adversarial variational autoencoder…”
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Variational autoencoder-based estimation of chronological age and changes in morphological features of teeth Autor Joo, Subin, Jung, Won, Oh, Seung Eel

“…This study led to the development of a variational autoencoder (VAE) for estimating the chronological age of subjects using feature values extracted from their teeth…”
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Disentangled representational learning for anomaly detection in single-lead electrocardiogram signals using variational autoencoder Autor Kapsecker, Maximilian, Möller, Matthias C., Jonas, Stephan M.

“… A beta total correlation variational autoencoder was optimized on four of these datasets for 68 systematic parameterization variants…”
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StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder Autor Chatterjee, Soumick, Sciarra, Alessandro, Dünnwald, Max, Tummala, Pavan, Agrawal, Shubham Kumar, Jauhari, Aishwarya, Kalra, Aman, Oeltze-Jafra, Steffen, Speck, Oliver, Nürnberger, Andreas

“…Expert interpretation of anatomical images of the human brain is the central part of neuroradiology. Several machine learning-based techniques have been…”
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Just-in-time framework for robust soft sensing based on robust variational autoencoder Autor Guo, Fan, Liu, Kun, Huang, Biao

“… In this paper, under the just-in-time learning (JITL) framework, a robust soft sensor modeling approach is developed based on robust Variational Autoencoder (VAE…”
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Disorder-specific neurodynamic features in schizophrenia inferred by neurodynamic embedded contrastive variational autoencoder model Autor Ding, Chaoyue, Sun, Yuqing, Li, Kunchi, Xie, Sangma, Yan, Hao, Li, Peng, Yan, Jun, Chen, Jun, Wang, Huiling, Wang, Huaning, Chen, Yunchun, Yang, Yongfeng, Lv, Luxian, Zhang, Hongxing, Lu, Lin, Zhang, Dai, Chen, Yaojing, Zhang, Zhanjun, Jiang, Tianzi, Liu, Bing

“… mechanisms of schizophrenia (SCZ). In this study, we integrated a neurodynamic model with the classical Contrastive Variational Autoencoder (CVAE…”
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Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals Autor Criscuolo, Sabatina, Apicella, Andrea, Prevete, Roberto, Longo, Luca

“… Artificial intelligence, particularly Variational Autoencoders (VAE), has shown promise in EEG artefact removal…”
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Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization Autor Habijan, Marija, Galić, Irena, Leventić, Hrvoje, Romić, Krešimir

“…An accurate whole heart segmentation (WHS) on medical images, including computed tomography (CT) and magnetic resonance (MR) images, plays a crucial role in…”
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Multi-view information fusion using multi-view variational autoencoder to predict proximal femoral fracture load Autor Zhao, Chen, Keyak, Joyce H., Cao, Xuewei, Sha, Qiuying, Wu, Li, Luo, Zhe, Zhao, Lan-Juan, Tian, Qing, Serou, Michael, Qiu, Chuan, Su, Kuan-Jui, Shen, Hui, Deng, Hong-Wen, Zhou, Weihua

“… We developed new models using multi-view variational autoencoder (MVAE) for feature…”
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