Search Results - (("Autoencoder applications") OR ("Autoencoder publications"))

A new investment method with AutoEncoder: Applications to crypto currencies by Nakano, Masafumi, Takahashi, Akihiko

“…•We propose a new investment strategy free from the estimation of expected returns.•AutoEncoder extracts the factors which enable to prevent the large…”
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A New Investment Method with AutoEncoder: Applications to Cryptocurrencies by Nakano, Masafumi, Takahashi, Akihiko

“…This paper proposes a novel approach to the portfolio management using an AutoEncoder. In particular, features learned by an AutoEncoder with ReLU are directly…”
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A new investment method with AutoEncoder: Applications to crypto currencies(Forthcoming in "Expert Systems with Applications") by Nakano, Masafumi, Takahashi, Akihiko

“…This paper proposes a novel approach to the portfolio management using an AutoEncoder. In particular, features learned by an AutoEncoder with ReLU are directly…”
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Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages by Hu, Dan, Zhang, Han, Wu, Zhengwang, Wang, Fan, Wang, Li, Smith, J. Keith, Lin, Weili, Li, Gang, Shen, Dinggang

“…Effective fusion of structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI) data has the potential to boost the accuracy…”
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Slow feature‐constrained decomposition autoencoder: Application to process anomaly detection and localization by Jia, Mingwei, Jiang, Lingwei, Hu, Junhao, Liu, Yi, Chen, Tao

“…Summary Detecting anomalies in manufacturing processes is crucial for ensuring safety. However, noise significantly undermines the reliability of data‐driven…”
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Autoencoder Application for Artwork Authentication Fingerprinting Using the Craquelure Network by Chirosca, Gianina, Radvan, Roxana, Pop, Matei, Chirosca, Alecsandru

“…This paper presents a deep learning-based system designed for generating, storing, and retrieving embeddings, specifically tailored for analyzing craquelure…”
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A Pansharpening Based on the Non-Subsampled Contourlet Transform and Convolutional Autoencoder: Application to QuickBird Imagery by Smadi, Ahmad Al, Yang, Shuyuan, Abugabah, Ahed, Alzubi, Ahmad Ali, Sanzogni, Louis

“…This paper presents a pansharpening technique based on the non-subsampled contourlet transform (NSCT) and convolutional autoencoder (CAE). NSCT is…”
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Autoencoder Application for Anomaly Detection in Power Consumption of Lighting Systems by Smialkowski, Tomasz, Czyzewski, Andrzej

“…Detecting energy consumption anomalies is a popular topic of industrial research, but there is a noticeable lack of research reported in the literature on…”
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A comprehensive survey on design and application of autoencoder in deep learning by Li, Pengzhi, Pei, Yan, Li, Jianqiang

“…Autoencoder is an unsupervised learning model, which can automatically learn data features from a large number of samples and can act as a dimensionality…”
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Autoencoders and their applications in machine learning: a survey by Berahmand, Kamal, Daneshfar, Fatemeh, Salehi, Elaheh Sadat, Li, Yuefeng, Xu, Yue

“…Autoencoders have become a hot researched topic in unsupervised learning due to their ability to learn data features and act as a dimensionality reduction…”
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A Stacked Autoencoder Application for Residential Load Curve Forecast and Peak Shaving by Wang, Xinan, Wang, Yishen, Shi, Di, Wang, Jianhui

“…For the last ten years, utilities have observed ongoing transitions on consumers' load curves. The previously flat load curves have more frequently turned into…”
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Sparse Denoising Autoencoder Application in Identification of Counterfeit Pharmaceutical by Yang, Hui-hua, Luo, Zhi-chao, Jiang, Shu-jie, Zhang, Xue-bo, Yin, Li-hui

“…Near-infrared(NIR)As a fast and non-destructive testing technology, spectroscopy techniques is very suitable for pharmaceutical discrimination. Autoencoder…”
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CNN Based Autoencoder Application in Breast Cancer Image Retrieval by Minarno, Agus Eko, Ghufron, Kharisma Muzaki, Sabrila, Trifebi Shina, Husniah, Lailatul, Sumadi, Fauzi Dwi Setiawan

“…Content Based Medical Image Retrieval (CBMIR) is considered as a common technique to retrieve relevant images by comparing the features contained in the query…”
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Moving forward in water distribution network leak identification through an innovative features engineering step by Damonti, Elvio, Bernasconi, Giancarlo

“…In Italy an average of 40% of the water in transit in Water Distribution Networks (WDNs) is lost, which represents a significant economic loss, and, because of…”
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Convolutional Autoencoder Application for Breast Cancer Classification by Naderan, Maryam, Zaychenko, Yuri

“…There are many related works for breast cancer detection using convolutional neural networks (CNN), and most of them rely only on feature extraction after the…”
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Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation by An, Seunghwan, Jong-June Jeon

“…The Gaussianity assumption has been consistently criticized as a main limitation of the Variational Autoencoder (VAE) despite its efficiency in computational…”
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Feature fusion models via stacked autoencoders: Applications to vehicular traffic flow prediction and Alzheimer's disease stage detection by Moussavi-Khalkhali, Arezou

“…The aim of this dissertation is to explore the deep architectures via stacked autoencoders (AE) and to enhance their performance in the regression analysis and…”
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Application of stack marginalised sparse denoising auto-encoder in fault diagnosis of rolling bearing by Zhang, Junling, Chen, Zhigang, Du, Xiaolei, Xu, Xu, Yu, Miao

“…When a fracturing vehicle is working, it generally needs to bear high loads, media corrosion and erosion. For this special working environment, this study…”
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A Stacked Autoencoder Application for Residential Load Curve Forecast and Peak Shaving by Wang, Xinan, Wang, Yishen, Shi, Di, Wang, Jianhui

“…For the last ten years, utilities have observed on-going transitions on consumers' load curves. The previously flat load curves have more frequently turned…”
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Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems by Chakraborty, Indrasis, Chakraborty, Rudrasis, Vrabie, Draguna

“…Fault detection problem for closed loop uncertain dynamical systems, is investigated in this paper, using different deep learning based methods. Traditional…”
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