Výsledky vyhledávání - sparse supervised autoencoder*

Detecting subtle transcriptomic perturbations induced by lncRNAs knock-down in single-cell CRISPRi screening using a new sparse supervised autoencoder neural network Autor Truchi, Marin, Lacoux, Caroline, Gille, Cyprien, Fassy, Julien, Magnone, Virginie, Lopes Goncalves, Rafael, Girard-Riboulleau, Cédric, Manosalva-Pena, Iris, Gautier-Isola, Marine, Lebrigand, Kevin, Barbry, Pascal, Spicuglia, Salvatore, Vassaux, Georges, Rezzonico, Roger, Barlaud, Michel, Mari, Bernard

“… Our Sparse supervised autoencoder (SSAE) neural network provides selection of both relevant features (genes…”
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Detecting subtle transcriptomic perturbations induced by lncRNAs knock-down in single-cell CRISPRi screening using a new sparse supervised autoencoder neural network Autor Truchi, Marin, Lacoux, Caroline, Gille, Cyprien, Fassy, Julien, Magnone, Virginie, Lopes Goncalves, Rafael, Girard-Riboulleau, Cédric, Manosalva-Pena, Iris, Gautier-Isola, Marine, Lebrigand, Kevin, Barbry, Pascal, Spicuglia, Salvatore, Vassaux, Georges, Rezzonico, Roger, Barlaud, Michel, Mari, Bernard

“… Our Sparse supervised autoencoder (SSAE) neural network provides selection of both relevant features (genes…”
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Novel semi-supervised sparse stacked autoencoder integrated with local linear embedding for industrial soft sensing Autor He, Yan-Lin, Jiang, Yu, Gao, Hui-Hui, Xu, Yuan, Zhu, Qun-Xiong

“…, posing significant challenges for soft sensing. To address these issues, this paper proposes novel Semi-Supervised Sparse Stacked Autoencoder integrated with the Local Linear Embedding algorithm (SS-SAE-LLE…”
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Web-S4AE: a semi-supervised stacked sparse autoencoder model for web robot detection Autor Jagat, Rikhi Ram, Sisodia, Dilip Singh, Singh, Pradeep

“… To address the aforementioned issues, we reformulated web robot detection as a semi-supervised…”
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XAI-DSCSA: explainable-AI-based deep semi-supervised convolutional sparse autoencoder for facial expression recognition Autor Mohana, M., Subashini, P., Ghinea, George

“… as the Deep Semi-supervised Convolutional Sparse Autoencoder to address the aforementioned issues and enhance FER performance and prediction…”
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Self-supervised generative adversarial learning with conditional cyclical constraints towards missing traffic data imputation Autor Li, Jinlong, Li, Ruonan, Xu, Lunhui, Liu, Jie

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Handling partially labeled network data: A semi-supervised approach using stacked sparse autoencoder Autor Aouedi, Ons, Piamrat, Kandaraj, Bagadthey, Dhruvjyoti

“…Network traffic analytics has become a crucial task in order to better understand and manage network resources, especially in the network softwarization era…”
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Supervised Learning via Unsupervised Sparse Autoencoder Autor Liu, Jianran, Li, Chan, Yang, Wenyuan

“… In this paper, an unsupervised multiple layered sparse autoencoder model is studied. Its advantage is that it reduces the reconstruction error as its optimization goal…”
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Demography-based facial retouching detection using subclass supervised sparse autoencoder Autor Bharati, Aparna, Vatsa, Mayank, Singh, Richa, Bowyer, Kevin W., Xin Tong

“… Further, retouched images are created using two different retouching software packages. The second major contribution of this research is a novel semi-supervised autoencoder incorporating "sub-class" information…”
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Self-Supervised Marine Noise Learning with Sparse Autoencoder Network for Generative Target Magnetic Anomaly Detection Autor Wang, Shigang, Zhang, Xiangyuan, Zhao, Yifan, Yu, Haozi, Li, Bin

“…As an effective physical field feature to perceive ferromagnetic targets, magnetic anomaly is widely used in covert marine surveillance tasks. However, its…”
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Learning a Sparse Generative Non-Parametric Supervised Autoencoder Autor Barlaud, Michel, Guyard, Frederic

“…This paper concerns the supervised generative non parametric autoencoder. Classical methods are based on variational non supervised autoencoders (VAE…”
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Detecting subtle transcriptomic perturbations induced by lncRNAs Knock-Down in single-cell CRISPRi screening using a new sparse supervised autoencoder neural network Autor Truchi, Marin, Lacoux, Caroline, Gille, Cyprien, Fassy, Julien, Magnone, Virginie, Lopez-Goncalvez, Rafael, Girard-Riboulleau, Cédric, Manosalva-Pena, Iris, Gautier-Isola, Marine, Lebrigand, Kevin, Barbry, Pascal, Spicuglia, Salvatore, Vassaux, Georges, Rezzonico, Roger, Barlaud, Michel, Mari, Bernard

“… Our Sparse supervised autoencoder (SSAE) neural network provides selection of both relevant features (genes…”
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A workflow combining single-cell CRISPRi screening and a Sparse supervised autoencoder neural network to detect subtle transcriptomic perturbations induced by lncRNA Knock-Down Autor Marin Truchi, Lacoux, Caroline, Gille, Cyprien, Fassy, Julien, Magnone, Virginie, Lopez-Goncalvez, Rafael, Girard-Riboulleau, Cédric, Manosalva-Pena, Iris, Gautier-Isola, Marine, Lebrigand, Kevin, Barbry, Pascal, Spicuglia, Salvatore, Vassaux, Georges, Rezzonico, Roger, Barlaud, Michel, Bernard, Mari

“… Our Sparse supervised autoencoder (SSAE) neural network provides selection of both relevant features (genes…”
Získat plný text

Demography-based Facial Retouching Detection using Subclass Supervised Sparse Autoencoder Autor Bharati, Aparna, Vatsa, Mayank, Singh, Richa, Bowyer, Kevin W, Tong, Xin

“… Further, retouched images are created using two different retouching software packages. The second major contribution of this research is a novel semi-supervised autoencoder incorporating "subclass" information…”
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A semi-supervised learning framework for gas chimney detection based on sparse autoencoder and TSVM Autor Xu, Pengcheng, Lu, Wenkai, Wang, Benfeng

“… The sparse autoencoder (SAE) is an unsupervised learning method that can extract the features of data without labels, and the transductive support vector machine (TSVM…”
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Self-Supervised Learning-Based Time Series Classification via Hierarchical Sparse Convolutional Masked-Autoencoder Autor Yu, Ting, Xu, Kele, Wang, Xu, Ding, Bo, Feng, Dawei

“… Time series self-supervised learning has emerged as a significant area of study, aiming to uncover patterns in unlabeled data for richer information…”
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Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data Autor Plana Rius, Ferran, Philipsen, Mark P., Mirats Tur, Josep Maria, Moeslund, Thomas B., Angulo Bahón, Cecilio, Casas, Marc

“… Such datasets represent a poor basis for automating the labeling process using supervised learning…”
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Representation learning via a semi-supervised stacked distance autoencoder for image classification Autor Hou, Liang, Luo, Xiao-yi, Wang, Zi-yang, Liang, Jun

“… The model is called a semi-supervised distance autoencoder. Each layer is first pre-trained in an unsupervised manner…”
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Quantitative analysis of ToF‐SIMS data of a two organic compound mixture using an autoencoder and simple artificial neural networks Autor Aoyagi, Satoka, Matsuda, Kazuhiro

“…), multivariate curve resolution (MCR), and use of a sparse autoencoder (SAE). The supervised simple ANN method was optimized based on the spectra and validated…”
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A Semi-Supervised Stacked Autoencoder Using the Pseudo Label for Classification Tasks Autor Lai, Jie, Wang, Xiaodan, Xiang, Qian, Quan, Wen, Song, Yafei

“… However, as a supervised algorithm, the stacked autoencoder (SAE) only considers labeled samples and is difficult to apply to semi-supervised problems…”
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