Investigation of the effectiveness of a classification method based on improved DAE feature extraction for hepatitis C prediction per Lin Zhang, Jixin Wang, Rui Chang, Weigang Wang

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Auto encoder-guided Feature Extraction for Pneumonia Identification from Chest X-ray Images per Rana Neeta, Marwaha Hitesh

Matèries: “…autoencoder…”
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Unsupervised Domain Adaptation via Stacked Convolutional Autoencoder per Yi Zhu, Xinke Zhou, Xindong Wu

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Invertible Autoencoder for Domain Adaptation per Yunfei Teng, Anna Choromanska

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A Hybrid Autoencoder Network for Unsupervised Image Clustering per Pei-Yin Chen, Jih-Jeng Huang

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PCGen: A Fully Parallelizable Point Cloud Generative Model per Nicolas Vercheval, Remco Royen, Adrian Munteanu, Aleksandra Pižurica

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Research on hybrid transformer-based autoencoders for user biometric verification per Mariia Havrylovych, Valeriy Danylov

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Deep Learning Autoencoder Study on ECG Signals per Dandi Mochamad Reza, Satria Mandala, Salim M. Zaki, Eileen Su Lee Ming

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Unsupervised Anomaly Video Detection via a Double-Flow ConvLSTM Variational Autoencoder per Lin Wang, Haishu Tan, Fuqiang Zhou, Wangxia Zuo, Pengfei Sun

Matèries: “…Autoencoder…”
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ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data per Fahad Almuqhim, Fahad Saeed

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Bearing Vibration Abnormal Detection Based on Improved Autoencoder Network per LI Beibei, PENG Li

Matèries: “…|autoencoder|bearing vibration|abnormal detection|mahalanobis distance|autoencoder network…”
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Denoising Masked Autoencoder-Based Missing Imputation within Constrained Environments for Electric Load Data per Jaeik Jeong, Tai-Yeon Ku, Wan-Ki Park

Matèries: “…denoising autoencoder…”
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Improved Training of CAE-Based Defect Detectors Using Structural Noise per Reina Murakami, Valentin Grave, Osamu Fukuda, Hiroshi Okumura, Nobuhiko Yamaguchi

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Generative autoencoder to prevent overregularization of variational autoencoder per YoungMin Ko, SunWoo Ko, YoungSoo Kim

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Enhancing Taxonomic Categorization of DNA Sequences with Deep Learning: A Multi-Label Approach per Prommy Sultana Hossain, Kyungsup Kim, Jia Uddin, Md Abdus Samad, Kwonhue Choi

Matèries: “…convolutional autoencoder…”
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EVAE-Net: An Ensemble Variational Autoencoder Deep Learning Network for COVID-19 Classification Based on Chest X-ray Images per 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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Unsupervised Outlier Detection via Transformation Invariant Autoencoder per Zhen Cheng, En Zhu, Siqi Wang, Pei Zhang, Wang Li

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Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder per Yishuai Geng, Xiao Xiao, Xiaobing Sun, Yi Zhu

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Deep convolutional autoencoders as generic feature extractors in seismological applications per Qingkai Kong, Andrea Chiang, Ana C. Aguiar, M. Giselle Fernández-Godino, Stephen C. Myers, Donald D. Lucas

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Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach per Jamal F. Hwaidi, Thomas M. Chen

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