Výsledky vyhľadávania - "Multimodal Variational Autoencoder"

Bayesian structural model updating with multimodal variational autoencoder Autor Itoi, Tatsuya, Amishiki, Kazuho, Lee, Sangwon, Yaoyama, Taro

“… The proposed method utilizes the surrogate unimodal encoders of a multimodal variational autoencoder (VAE…”
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Multimodal variational autoencoder for inverse problems in geophysics: application to a 1-D magnetotelluric problem Autor Rodriguez, Oscar, Taylor, Jamie M, Pardo, David

“… However, most geophysical applications exhibit more than one plausible solution. Here, we propose a multimodal variational autoencoder model that employs a mixture…”
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Geometry-informed multimodal variational autoencoder for real-time prediction of properties for Ti–6Al–4V fabricated using PBF-LB Autor Luo, Qixiang, Huang, Nancy, Bartles, Dean L., Beese, Allison M.

“…A geometry-informed multimodal variational autoencoder linear hybrid model (GMVAE) was developed to use in situ processing signals along with geometry information from laser scanning patterns to predict the mechanical properties of Ti-6Al-4…”
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Explainable Dynamic Multimodal Variational Autoencoder for the Prediction of Patients With Suspected Central Precocious Puberty Autor Xu, Yiming, Liu, Xiaohong, Pan, Liyan, Mao, Xiaojian, Liang, Huiying, Wang, Guangyu, Chen, Ting

“…Central precocious puberty (CPP) is the most common type of precocious puberty and has a significant effect on children. A gonadotropin-releasing hormone…”
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Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder Autor Hirasawa, Kaito, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki

“…A new method for the detection of important scenes in baseball videos via a time-lag-aware multimodal variational autoencoder (Tl-MVAE…”
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iMVAN: integrative multimodal variational autoencoder and network fusion for biomarker identification and cancer subtype classification Autor Dhillon, Arwinder, Singh, Ashima, Bhalla, Vinod Kumar

“…) for biomarker identification and cancer subtype classification. In this research, iMVAN, an integrated Multimodal Variational Autoencoder and Network fusion, is presented for biomarker discovery and classification of cancer subtypes…”
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Improving news recommendation accuracy through multimodal variational autoencoder and adversarial training Autor Tang, Pei, Zhu, Shuo, Alatas, Bilal

“… A Multimodal Variational Autoencoder (MVAVE) is constructed based on the multi-head self-attention mechanism, incorporating noise injection for denoising to mitigate the impact of data noise on recommendation performance…”
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Cutting anomaly detection in end-milling by multimodal variational autoencoder Autor SUWA, Haruhiko, MURAKAMI, Koji, ODA, Kazuya

“… This study focuses on the multimodality of various cutting time-series data for extracting features of cutting status and proposes a multimodal variational autoencoder (MVAE) method…”
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Cutting anomaly detection in end-milling by multimodal variational autoencoder Autor SUWA, Haruhiko, ODA, Kazuya, MURAKAMI, Koji

“… This study focuses on the multimodality of various cutting time-series data for extracting features of cutting status and proposes a multimodal variational autoencoder (MVAE) method…”
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Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder Autor Akamatsu, Yusuke, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki

“… Our proposed anomaly detection model named conditional multimodal variational autoencoder (CMVAE) has the following two technical contributions…”
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Multimodal Variational Autoencoder: A Barycentric View Autor Qiu, Peijie, Zhu, Wenhui, Kumar, Sayantan, Chen, Xiwen, Yang, Jin, Sun, Xiaotong, Razi, Abolfazl, Wang, Yalin, Sotiras, Aristeidis

“…Multiple signal modalities, such as vision and sounds, are naturally present in real-world phenomena. Recently, there has been growing interest in learning…”
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Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data Autor Zuo, Chunman, Chen, Luonan

“… Here, we present a single-cell multimodal variational autoencoder model, which combines three types of joint-learning strategies with a probabilistic Gaussian Mixture Model to learn the joint latent…”
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Multimodal nonparametric clustering via Monte Carlo method and fusion embedding generated by variational autoencoder Autor Ma, Yuanchi, He, Hui, Zhang, Gang, Niu, Zhendong

“…Multimodal Cluster analysis is a fundamental task in Generative AI (GenAI). However, its application in practical domains, such as multimodal perception for…”
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One-class learning for fake news detection through multimodal variational autoencoders Autor Gôlo, Marcos Paulo Silva, de Souza, Mariana Caravanti, Rossi, Rafael Geraldeli, Rezende, Solange Oliveira, Nogueira, Bruno Magalhães, Marcacini, Ricardo Marcondes

“…Machine learning methods to detect fake news typically use textual features and Binary or Multi-class classification. However, accurately labeling a large news…”
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Bayesian Structural Model Updating with Multimodal Variational Autoencoder Autor Itoi, Tatsuya, Amishiki, Kazuho, Lee, Sangwon, Yaoyama, Taro

“… The proposed method utilizes the surrogate unimodal encoders of a multimodal variational autoencoder (VAE…”
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Fake News Detection Using BERT-VGG19 Multimodal Variational Autoencoder Autor Jaiswal, Ramji, Singh, Upendra Pratap, Singh, Krishna Pratap

“…In this era of readily accessible Internet, there has been a monumental shift in the way information is created, processed and disseminated to the netizens…”
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MVAESynth: a unified framework for multimodal data generation, modality restoration, and controlled generation Autor Lysenko, Anton, Deeva, Irina, Shikov, Egor

“…Synthetic data generation is used nowadays in a number of applications with privacy issues, such as training and testing of systems for analyzing the behavior…”
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Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection Autor Mohammod N I Suvon, Tripathi, Prasun C, Fan, Wenrui, Zhou, Shuo, Liu, Xianyuan, Alabed, Samer, Osmani, Venet, Swift, Andrew J, Chen, Chen, Lu, Haiping

“… In response to these limitations, we propose a novel multimodal variational autoencoder (\(\text{CardioVAE}_\text{X,G}\)) to integrate low-cost chest X-ray…”
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Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes Autor Hirasawa, Kaito, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki

“…A novel method based on time-lag aware multi-modal variational autoencoder for prediction of important scenes (TI-MVAE-PIS…”
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Learning to reach to own body from spontaneous self-touch using a generative model Autor Marcel, Valentin, O'Regan, J. Kevin, Hoffmann, Matej

“…When leaving the aquatic constrained environment of the womb, newborns are thrown into the world with essentially new laws and regularities that govern their…”
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