Variational autoencoder provides proof of concept that compressing CDT to extremely low-dimensional space retains its ability of distinguishing dementia by Sabyasachi Bandyopadhyay, Catherine Dion, David J. Libon, Catherine Price, Patrick Tighe, Parisa Rashidi

“…In this study, we examined if a variational autoencoder (VAE) with only two latent variables can capture and encode clock drawing anomalies from a large dataset of unannotated CDTs (n = 13,580) using self-supervised pre-training and use them to classify dementia CDTs (n = 18) from non-dementia CDTs (n = 20). …”
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EVAE-Net: An Ensemble Variational Autoencoder Deep Learning Network for COVID-19 Classification Based on Chest X-ray Images by Daniel Addo, Shijie Zhou, Jehoiada Kofi Jackson, Grace Ugochi Nneji, Happy Nkanta Monday, Kwabena Sarpong, Rutherford Agbeshi Patamia, Favour Ekong, Christyn Akosua Owusu-Agyei

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An Improved Technique for Pneumonia Infected Patients Image Recognition Based on Combination Algorithm of Smooth Generalized Pinball SVM and Variational Autoencoders by Wachiraphong Ratiphaphongthon, Wanida Panup, Rabian Wangkeeree

“…We present a method based on combining a smooth generalized pinball support vector machine (SVM) and variational autoencoders (VAEs) in chest X-ray (CXR) images. …”
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Integrating Adversarial Generative Network with Variational Autoencoders towards Cross-Modal Alignment for Zero-Shot Remote Sensing Image Scene Classification by Suqiang Ma, Chun Liu, Zheng Li, Wei Yang

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Modeling Cycle-to-Cycle Variations of a Spark-Ignited Gas Engine Using Artificial Flow Fields Generated by a Variational Autoencoder by Stefan Posch, Clemens Gößnitzer, Andreas B. Ofner, Gerhard Pirker, Andreas Wimmer

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Interpreting Disentangled Representations of Person-Specific Convolutional Variational Autoencoders of Spatially Preserving EEG Topographic Maps via Clustering and Visual Plausibility by Taufique Ahmed, Luca Longo

Subjects: “…convolutional variational autoencoder…”
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Transfer Learning with Attributes for Improving the Landslide Spatial Prediction Performance in Sample-Scarce Area Based on Variational Autoencoder Generative Adversarial Network by Mansheng Lin, Shuai Teng, Gongfa Chen, David Bassir

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Conditional Variational Autoencoder for Functional Connectivity Analysis of Autism Spectrum Disorder Functional Magnetic Resonance Imaging Data: A Comparative Study by Mariia Sidulova, Chung Hyuk Park

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ScaffoldGVAE: scaffold generation and hopping of drug molecules via a variational autoencoder based on multi-view graph neural networks by Chao Hu, Song Li, Chenxing Yang, Jun Chen, Yi Xiong, Guisheng Fan, Hao Liu, Liang Hong

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Automatic Classification of Magnetic Resonance Histology of Peripheral Arterial Chronic Total Occlusions Using a Variational Autoencoder: A Feasibility Study by Judit Csore, Christof Karmonik, Kayla Wilhoit, Lily Buckner, Trisha L. Roy

“…The novel approach of our study consists in adapting and in evaluating a custom-made variational autoencoder (VAE) using two-dimensional (2D) convolutional neural networks (CNNs) on magnetic resonance imaging (MRI) images for differentiate soft vs. hard plaque components in peripheral arterial disease (PAD). …”
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Computational drug discovery on human immunodeficiency virus with a customized long short‐term memory variational autoencoder deep‐learning architecture by Mucahit Kutsal, Ferhat Ucar, Nida Kati

“…This investigation specifically focused on employing a long short‐term memory (LSTM) variational autoencoder deep‐learning architecture for computational drug discovery in relation to HIV. …”
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Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization by Marija Habijan, Irena Galić, Hrvoje Leventić, Krešimir Romić

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Satellite Network Security Routing Technology Based on Deep Learning and Trust Management by Zhiguo Liu, Junlin Rong, Yingru Jiang, Luxi Zhang

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Collaborative Filtering Recommendation Method Based on Vector Quantization Coding by WANG Guan-yu, ZHONG Ting, FENG Yu, ZHOU Fan

Subjects: “…recommender system|collaborative filtering|vector quantization coding|variational autoencoder…”
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Generating diverse clothed 3D human animations via a generative model by Min Shi, Wenke Feng, Lin Gao, Dengming Zhu

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Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization by Jun Jin Choong, Xin Liu, Tsuyoshi Murata

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Deep Network Representation Learning Method on Incomplete Information Networks by FU Kun, ZHAO Xiao-meng, FU Zi-tong, GAO Jin-hui, MA Hao-ran

Subjects: “…network representation learning|attribute network|incomplete information|variational autoencoder…”
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Enhancing Taxonomic Categorization of DNA Sequences with Deep Learning: A Multi-Label Approach by Prommy Sultana Hossain, Kyungsup Kim, Jia Uddin, Md Abdus Samad, Kwonhue Choi

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Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation by Huimu Wang, Zhen Liu, Jianqiang Yi, Zhiqiang Pu

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Deep generative models for T cell receptor protein sequences by Kristian Davidsen, Branden J Olson, William S DeWitt III, Jean Feng, Elias Harkins, Philip Bradley, Frederick A Matsen IV

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