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检索条件"主题词=variational autoencoder"
1532 条 记 录,以下是621-630 订阅
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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
来源: 评论
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
来源: 评论
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
来源: 评论
Anomaly Detection in Industrial Software Systems Using variational autoencoders  7
Anomaly Detection in Industrial Software Systems <i>Using Va...
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7th International Conference on Pattern Recognition Applications and Methods (ICPRAM)
作者: Kumarage, Tharindu De Silva, Nadun Ranawaka, Malsha Kuruppu, Chamal Ranathunga, Surangika Univ Moratuwa Dept Comp Sci & Engn Katubedda Sri Lanka
Industrial software systems are known to be used for performing critical tasks in numerous fields. Faulty conditions in such systems can cause system outages that could lead to losses. In order to prevent potential sy... 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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Learning Optimal Priors for Task-Invariant Representations in variational autoencoders  22
Learning Optimal Priors for Task-Invariant Representations i...
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28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KKD)
作者: Takahashi, Hiroshi Iwata, Tomoharu Kumagai, Atsutoshi Kanai, Sekitoshi Yamada, Masanori Yamanaka, Yuuki Kashima, Hisashi NTT Nairobi Kenya Kyoto Univ Kyoto Japan
The variational autoencoder (VAE) is a powerful latent variable model for unsupervised representation learning. However, it does not work well in case of insufficient data points. To improve the performance in such si... 详细信息
来源: 评论
Field-aware variational autoencoders for Billion-scale User Representation Learning  38
Field-aware Variational Autoencoders for Billion-scale User ...
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38th IEEE International Conference on Data Engineering (ICDE)
作者: Fan, Ge Zhang, Chaoyun Chen, Junyang Li, Baopu Xu, Zenglin Li, Yingjie Peng, Luyu Gong, Zhiguo Tencent Inc Shenzhen Peoples R China Shenzhen Univ Shenzhen Peoples R China Baidu USA Sunnyvale CA USA Harbin Inst Technol Shenzhen Shenzhen Peoples R China Univ Macau Macau Peoples R China
User representation learning plays an essential role in Internet applications, such as recommender systems. Though developing a universal embedding for users is demanding, only few previous works are conducted in an u... 详细信息
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A Two-Stage Cascade Model with variational autoencoders and Attention Gates for MRI Brain Tumor Segmentation  6th
A Two-Stage Cascade Model with Variational Autoencoders and ...
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6th International MICCAI Brain-Lesion Workshop (BrainLes)
作者: Lyu, Chenggang Shu, Hai NYU Dept Biostat Sch Global Publ Hlth New York NY 10003 USA
Automatic MRI brain tumor segmentation is of vital importance for the disease diagnosis, monitoring, and treatment planning. In this paper, we propose a two-stage encoder-decoder based model for brain tumor subregiona... 详细信息
来源: 评论
An Evolutionary Approach to variational autoencoders  10
An Evolutionary Approach to Variational Autoencoders
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10th Annual Computing and Communication Workshop and Conference (CCWC)
作者: Hajewski, Jeff Oliveira, Suely Univ Iowa Dept Comp Sci Iowa City IA 52242 USA
variational autoencoders are an important tool in the domain of generative data models and yet they remain difficult to design due to a lack of intuition as to how to best design the corresponding encoder and decoder ... 详细信息
来源: 评论
3D HIGH-RESOLUTION CARDIAC SEGMENTATION RECONSTRUCTION FROM 2D VIEWS USING CONDITIONAL variational autoencoderS  16
3D HIGH-RESOLUTION CARDIAC SEGMENTATION RECONSTRUCTION FROM ...
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16th IEEE International Symposium on Biomedical Imaging (ISBI)
作者: Biffi, Carlo Cerrolaza, Juan J. Tarroni, Giacomo de Marvao, Antonio Cook, Stuart A. O'Regan, Declan P. Rueckert, Daniel Imperial Coll London Biomed Image Anal Grp London England Imperial Coll London MRC London Inst Med Sci London England
Accurate segmentation of heart structures imaged by cardiac MR is key for the quantitative analysis of pathology. High resolution 3D MR sequences enable whole-heart structural imaging but are time-consuming, expensive... 详细信息
来源: 评论