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Multi-view information fusion using multi-view variational autoencoder to predict proximal femoral fracture load

• Authors : Zhao, Chen; Keyak, Joyce H; Cao, Xuewei

Subjects: Biomedical and Clinical Sciences; Clinical Sciences; Bioengineering

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The manatee variational autoencoder model for predicting gene expression alterations caused by transcription factor perturbations.

• Authors : Yang, Ying; Seninge, Lucas; Wang, Ziyuan

Subjects: Transcription Factors; Humans; Transcriptome

• Source: Scientific Reports, vol 14, iss 1

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Botnet Detection Using Recurrent Variational Autoencoder

• Authors : Kim, Jeeyung; Sim, Alex; Kim, Jinoh

Subjects: botnet detection; anomaly scoring; Recurrent Neural Network

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Application of the variational autoencoder to detect the critical points of the anisotropic Ising model

• Authors : Baul, Anshumitra; Walker, Nicholas; Moreno, Juana

Subjects: Mathematical Physics; Quantum Physics; Mathematical Sciences

• Source: Physical Review E, vol 107, iss 4

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Modeling Capacity-Limited Decision Making Using a Variational Autoencoder

• Authors : Malloy, Tyler J; Klinger, Tim; Liu, Miao

Subjects: cognitive science

• Source: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43

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Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder

• Authors : Kim, Jeeyung; Sim, Alex; Kim, Jinoh

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Efficacy of Smoothing Algorithms to Enhance Detection of Visual Field Progression in Glaucoma.

• Authors : Davis, Tyler; Morales, Esteban; Wu, Kara

Subjects: Artificial intelligence; Glaucoma progression; Variability

• Source: Ophthalmology Science, vol 4, iss 2

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Multi-Objective Design of DNA-Stabilized Nanoclusters Using Variational Autoencoders With Automatic Feature Extraction.

• Authors : Sadeghi, Elham; Mastracco, Peter; Gonzàlez-Rosell, Anna

Subjects: DNA; fluorescence; interpretable machine learning

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Translator: A Transfer Learning Approach to Facilitate Single-Cell ATAC-Seq Data Analysis from Reference Dataset.

• Authors : Xu, Siwei; Skarica, Mario; Hwang, Ahyeon

Subjects: deep generative model; single-cell ATAC-seq; transfer learning

• Source: Journal of Computational Biology, vol 29, iss 7

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Deep generative models for T cell receptor protein sequences

• Authors : Davidsen, Kristian; Olson, Branden J; DeWitt, William S

Subjects: Biomedical and Clinical Sciences; Immunology; Genetics

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