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检索条件"主题词=variational autoencoder"
1537 条 记 录,以下是621-630 订阅
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Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics  24
Parameter tuning is a key part of dimensionality reduction v...
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24th Pacific Symposium on Biocomputing (PSB)
作者: Hu, Qiwen Greene, Casey S. Univ Penn Dept Syst Pharmacol & Translat Therapeut Philadelphia PA 19104 USA
Single-cell RNA sequencing (scRNA-seq) is a powerful tool to profile the transcriptomes of a large number of individual cells at a high resolution. These data usually contain measurements of gene expression for many g... 详细信息
来源: 评论
Fault Detection Based on variational autoencoders for Complex Nonlinear Processes  12
Fault Detection Based on Variational Autoencoders for Comple...
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12th Asian Control Conference (ASCC)
作者: Wang, Kai Chen, Junghui Song, Zhihuan Zhejiang Univ State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China Chung Yuan Christian Univ Dept Chem Engn Taoyuan 32023 Taiwan
Deep learning models have been proved to outperform shallow methods for industrial process fault detection because of their high capacity for complex nonlinearity. However, typical deep models applied to monitoring pr... 详细信息
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Period Singer: Integrating Periodic and Aperiodic variational autoencoders for Natural-Sounding End-to-End Singing Voice Synthesis  25
Period Singer: Integrating Periodic and Aperiodic Variationa...
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25th Interspeech Conference
作者: Kim, Taewoo Cho, Choonsang Lee, Young Han Korea Elect Technol Inst Seoul South Korea
In this paper, we present Period Singer, a novel end-to-end singing voice synthesis (SVS) model that utilizes variational inference for periodic and aperiodic components, aimed at producing natural-sounding waveforms.... 详细信息
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Modeling and Transforming Speech using variational autoencoders  17
Modeling and Transforming Speech using Variational Autoencod...
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17th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2016)
作者: Blaauw, Merlijn Bonada, Jordi Univ Pompeu Fabra Mus Technol Grp Barcelona Spain
Latent generative models can learn higher-level underlying factors from complex data in an unsupervised manner. Such models can be used in a wide range of speech processing applications, including synthesis, transform... 详细信息
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Optimally designed variational autoencoders for Efficient Wind Characteristics Modelling
Optimally designed Variational Autoencoders for Efficient Wi...
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IEEE Symposium Series on Computational Intelligence (IEEE SSCI)
作者: Miriyala, Srinivas Soumitri Chowdhury, Subhankar Pujari, NagaSree Keerthi Mitra, Kishalay Indian Inst Technol Dept Chem Engn Hyderabad India
Wind energy is increasingly applied as a large scale clean energy generating alternative to fossil fuels. However, limited amount of real wind data results in inaccurate construction of Wind Frequency Maps (WFMs), whi... 详细信息
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New Methods for Explainable variational autoencoders
New Methods for Explainable Variational Autoencoders
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Conference on Artificial Intelligence for Security and Defence Applications
作者: White, Riley Baracat-Donovan, Brian Helmsen, John McCullough, Thomas Noblis Inc 2022 Edmund Halley Dr Reston VA 20191 USA
A new deep learning algorithm for performing anomaly detection and multi-class classification with explainability using counterfactuals is described. The system is a variational autoencoder (VAE) with a modified loss ... 详细信息
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Generalizing Across Domains in Diabetic Retinopathy via variational autoencoders  26th
Generalizing Across Domains in Diabetic Retinopathy via Vari...
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26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) / 8th ISIC Workshop / 1st Care-AI Workshop / 1st MedAGI Workshop / 4th DeCaF Workshop
作者: Chokuwa, Sharon Khan, Muhammad H. Mohamed Bin Zayed Univ Artificial Intelligence Abu Dhabi U Arab Emirates
Domain generalization for Diabetic Retinopathy (DR) classification allows a model to adeptly classify retinal images from previously unseen domains with various imaging conditions and patient demographics, thereby enh... 详细信息
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Bidirectional variational autoencoders
Bidirectional Variational Autoencoders
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International Joint Conference on Neural Networks (IJCNN)
作者: Kosko, Bart Adigun, Olaoluwa Univ Southern Calif Dept Elect & Comp Engn Los Angeles CA 90007 USA
We present the new bidirectional variational autoencoder (BVAE) network architecture. The BVAE uses a single neural network both to encode and decode instead of an encoder-decoder network pair. The network encodes in ... 详细信息
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Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and variational autoencoders  10th
Assessing the Impact of Blood Pressure on Cardiac Function U...
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10th International Workshop on Statistical Atlases and Computational Modelling of the Heart (STACOM)
作者: Puyol-Anton, Esther Ruijsink, Bram Clough, James R. Oksuz, Ilkay Rueckert, Daniel Razavi, Reza King, Andrew P. Kings Coll London Sch Biomed Engn & Imaging Sci London England St Thomas Hosp NHS Fdn Trust London England Imperial Coll London Biomed Image Anal Grp London England
Maintaining good cardiac function for as long as possible is a major concern for healthcare systems worldwide and there is much interest in learning more about the impact of different risk factors on cardiac health. T... 详细信息
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Enhancing Long Term Fairness in Recommendations with variational autoencoders  11
Enhancing Long Term Fairness in Recommendations with Variati...
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11th International Conference on Management of Digital EcoSystems (MEDES)
作者: Borges, Rodrigo Stefanidis, Kostas Univ Sao Paulo Sao Paulo Brazil Tampere Univ Tampere Finland
Recommender systems have become indispensable for several Web sites, helping users deal with big amounts of data. They are capable of analyzing user/item interactions taking place on-line, and provide each user with a... 详细信息
来源: 评论