Search Results - Sparse Convolutional Denoising Autoencoder (SCDA)

TumorAwareNet: Deep representation learning with attention based sparse convolutional denoising autoencoder for brain tumor recognition by Bodapati, Jyostna Devi, Balaji, Bharadwaj Bagepalli

“…) images suitable for effective tumor recognition. The proposed model employs a Sparse Convolutional Denoising Autoencoder (SCDA…”
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Sparse Convolutional Denoising Autoencoders for Genotype Imputation by Chen, Junjie, Shi, Xinghua

“… To explore the performance of deep learning for genotype imputation, in this study, we propose a deep model called a sparse convolutional denoising autoencoder (SCDA…”
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An autoencoder-based deep learning method for genotype imputation by Song, Meng, Greenbaum, Jonathan, Luttrell, Joseph, Zhou, Weihua, Wu, Chong, Luo, Zhe, Qiu, Chuan, Zhao, Lan Juan, Su, Kuan-Jui, Tian, Qing, Shen, Hui, Hong, Huixiao, Gong, Ping, Shi, Xinghua, Deng, Hong-Wen, Zhang, Chaoyang

“… In recent years, deep learning (DL) based methods, such as sparse convolutional denoising autoencoder (SCDA…”
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Deep learning for prognostics and health management: State of the art, challenges, and opportunities by Rezaeianjouybari, Behnoush, Shang, Yi

“…•The state-of-the-art deep models in PHM applications have been overviewed.•The models are classified into generative, discriminative and hybrid…”
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