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

Schlagworte: Volltext

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

Schlagworte: “… autoencoder …”
Volltext

Unsupervised Domain Adaptation via Stacked Convolutional Autoencoder von Yi Zhu, Xinke Zhou, Xindong Wu

Schlagworte: Volltext

Invertible Autoencoder for Domain Adaptation von Yunfei Teng, Anna Choromanska

Schlagworte: Volltext

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

Schlagworte: Volltext

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

Schlagworte: Volltext

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

Schlagworte: Volltext

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

Schlagworte: Volltext

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

Schlagworte: “… Autoencoder …”
Volltext

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

Schlagworte: Volltext

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

Schlagworte: “… |autoencoder|bearing vibration|abnormal detection|mahalanobis distance|autoencoder network …”
Volltext

Denoising Masked Autoencoder-Based Missing Imputation within Constrained Environments for Electric Load Data von Jaeik Jeong, Tai-Yeon Ku, Wan-Ki Park

Schlagworte: “… denoising autoencoder …”
Volltext

Improved Training of CAE-Based Defect Detectors Using Structural Noise von Reina Murakami, Valentin Grave, Osamu Fukuda, Hiroshi Okumura, Nobuhiko Yamaguchi

Schlagworte: Volltext

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

Schlagworte: “… autoencoder …”
Volltext

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

Schlagworte: “… convolutional autoencoder …”
Volltext

EVAE-Net: An Ensemble Variational Autoencoder Deep Learning Network for COVID-19 Classification Based on Chest X-ray Images von Daniel Addo, Shijie Zhou, Jehoiada Kofi Jackson, Grace Ugochi Nneji, Happy Nkanta Monday, Kwabena Sarpong, Rutherford Agbeshi Patamia, Favour Ekong, Christyn Akosua Owusu-Agyei

Schlagworte: “… autoencoder …”
Volltext

Unsupervised Outlier Detection via Transformation Invariant Autoencoder von Zhen Cheng, En Zhu, Siqi Wang, Pei Zhang, Wang Li

Schlagworte: Volltext

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

Schlagworte: Volltext

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

Schlagworte: Volltext

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

Schlagworte: Volltext