Contrastive Disentangled Variational Autoencoder for Collaborative Filtering by Woo-Seong Yun, Seong-Min Kang, Yoon-Sik Cho

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Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment by Shikha Chaganti, Vivek Singh, Alasdair Edward Gent, Rishikesan Kamaleswaran, Ali Kamen

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Method of unknown protocol classification based on autoencoder by Chunxiang GU, Weisen WU, Ya’nan SHI, Guangsong LI

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Restoration of multi-channel signal loss using autoencoder with recursive input strategy by Jaejun Lee, Yonggyun Yu, Hogeon Seo

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Studies on 1D Electronic Noise Filtering Using an Autoencoder by Marcelo Bender Perotoni, Lincoln Ferreira Lucio

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Towards prediction of pseudo-normal SPECT image data using variational autoencoder by Katerina Dudasova, Jiri Trnka

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Few-shot traffic classification based on autoencoder and deep graph convolutional networks by Shengwei Xu, Jijie Han, Yilong Liu, Haoran Liu, Yijie Bai

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DeepAT: A Deep Learning Wheat Phenotype Prediction Model Based on Genotype Data by Jiale Li, Zikang He, Guomin Zhou, Shen Yan, Jianhua Zhang

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Improved anomaly diagnosis of production facilities by combining Autoencoder with spectral characteristics by Fuki SAKA, Yuichi CHIDA, Masaya TANEMURA, Junya CHINO, Masato SUGAYA, Masaharu MATSUBARA

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A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security by Junjun Li, Yanyan Ma, Jiahui Bai, Congming Chen, Tingting Xu, Chi Ding

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Fusion of auto encoders and multi-modal data based video recommendation method by Qiuyang GU, Chunhua JU, Gongxing WU

Subjects: “…autoencoder…”
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Trust Model for Underwater Wireless Sensor Networks Based on Variational Autoencoders by Jiahao ZHANG, Sizhou WEI, Na XIA

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MECFormer: Multiple Exposure Correction Transformer Based on Autoencoder by Jong-Hyeon Baek, Hyo-Jun Lee, Hanul Kim, Yeong Jun Koh

Subjects: “…Autoencoder…”
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AE-XGBoost: A Novel Approach for Machine Tool Machining Size Prediction Combining XGBoost, AE and SHAP by Mu Gu, Shuimiao Kang, Zishuo Xu, Lin Lin, Zhihui Zhang

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Modified Autoencoder Training and Scoring for Robust Unsupervised Anomaly Detection in Deep Learning by Nicholas Merrill, Azim Eskandarian

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hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction by Giulia Cisotto, Giulia Cisotto, Alberto Zancanaro, Italo F. Zoppis, Sara L. Manzoni

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Siamese Denoising Autoencoders for Enhancing Adversarial Robustness in Medical Image Analysis by Jaesung Shim, Kyuri Jo

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Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning by Francisco Javier Saez-Maldonado, Luz Garcia, Lee A. D. Cooper, Jeffery A. Goldstein, Rafael Molina, Aggelos K. Katsaggelos

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Robust biochar yield and composition prediction via uncertainty-aware ResNet-based autoencoder by Yali Zhang, Bowen Lei, Amirhossein Mahdaviarab, Xiao Wang, Zong Liu

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A convolutional autoencoder framework for ECG signal analysis by Ugo Lomoio, Patrizia Vizza, Raffaele Giancotti, Salvatore Petrolo, Sergio Flesca, Fabiola Boccuto, Pietro Hiram Guzzi, Pierangelo Veltri, Giuseppe Tradigo

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