Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images by Ido Cohen, Eli (Omid) David, Nathan S. Netanyahu

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Application of machine learning techniques for warfarin dosage prediction: a case study on the MIMIC-III dataset by Aasim Ayaz Wani, Fatima Abeer

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LIDER: cell embedding based deep neural network classifier for supervised cell type identification by Yachen Tang, Xuefeng Li, Mingguang Shi

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Gradient Boosted Trees and Denoising Autoencoder to Correct Numerical Wave Forecasts by Ivan Yanchin, C. Guedes Soares

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Traceability and analysis method for measurement laboratory testing data based on intelligent Internet of Things and deep belief network by He PeiDong, Li XiaoJun, Shen WenQi, Deng ShuYu, Xiao Li, Zhang Yang Fan

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Robust Computationally-Efficient Wireless Emitter Classification Using Autoencoders and Convolutional Neural Networks by Ebtesam Almazrouei, Gabriele Gianini, Nawaf Almoosa, Ernesto Damiani

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Industrial Control under Non-Ideal Measurements: Data-Based Signal Processing as an Alternative to Controller Retuning by Ivan Pisa, Antoni Morell, Ramón Vilanova, Jose Lopez Vicario

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Unsupervised Feature Learning to Improve Transferability of Landslide Susceptibility Representations by Qing Zhu, Li Chen, Han Hu, Saeid Pirasteh, Haifeng Li, Xiao Xie

Subjects: “…Denoised autoencoder (DAE)…”
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Detection and Classification of Knee Injuries from MR Images Using the MRNet Dataset with Progressively Operating Deep Learning Methods by Ali Can Kara, Fırat Hardalaç

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Short-Term Wind-Speed Forecasting Based on Multiscale Mathematical Morphological Decomposition, K-Means Clustering, and Stacked Denoising Autoencoders by Weichao Dong, Hexu Sun, Zheng Li, Jingxuan Zhang, Huifang Yang

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Marginalised Stacked Denoising Autoencoders for Robust Representation of Real-Time Multi-View Action Recognition by Feng Gu, Francisco Flórez-Revuelta, Dorothy Monekosso, Paolo Remagnino

Subjects: “…marginalised stacked denoising autoencoders…”
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A Multimodal Approach for Identifying Autism Spectrum Disorders in Children by Junxia Han, Guoqian Jiang, Gaoxiang Ouyang, Xiaoli Li

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A Novel Acoustic Emission Sources Localization and Identification Method in Metallic Plates Based on Stacked Denoising Autoencoders by Li Yang, Feiyun Xu

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Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments—The Wastewater Treatment P... by Ivan Pisa, Antoni Morell, Jose Lopez Vicario, Ramon Vilanova

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EnerGAN++: A Generative Adversarial Gated Recurrent Network for Robust Energy Disaggregation by Maria Kaselimi, Nikolaos Doulamis, Athanasios Voulodimos, Anastasios Doulamis, Eftychios Protopapadakis

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Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson’s Disease and Autism Spectrum Disorders by Nastaran Mohammadian Rad, Twan van Laarhoven, Cesare Furlanello, Elena Marchiori

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Object detection and tracking under Complex environment using deep learning‐based LPM by Yundong Li, Xueyan Zhang, Hongguang Li, Qichen Zhou, Xianbin Cao, Zhifeng Xiao

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A Hierarchical Intrusion Detection Model Combining Multiple Deep Learning Models With Attention Mechanism by Hongsheng Xu, Libo Sun, Ganglong Fan, Wanxing Li, Guofang Kuang

Subjects: “…stacked convolutional denoising autoencoders (SCDAE)…”
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