An attempt to construct the individual model of daily facial skin temperature using variational autoencoder
Sign Up to like & getrecommendations! Published in 2021 at "Artificial Life and Robotics"
DOI: 10.1007/s10015-021-00699-7
Abstract: Facial skin temperature (FST) has also gained prominence as an indicator for detecting anomalies such as fever due to the COVID-19. When FST is used for engineering applications, it is enough to be able to… read more here.
Keywords: skin temperature; facial skin; variational autoencoder; using variational ... See more keywords
SeqVAE: Sequence variational autoencoder with policy gradient
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02374-7
Abstract: In the paper, we propose a variant of Variational Autoencoder (VAE) for sequence generation task, called SeqVAE, which is a combination of recurrent VAE and policy gradient in reinforcement learning. The goal of SeqVAE is… read more here.
Keywords: policy gradient; policy; seqvae; variational autoencoder ... See more keywords
Augmenting deviation of faults from the normal using fault assistant Gaussian mixture prior variational autoencoder
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the Taiwan Institute of Chemical Engineers"
DOI: 10.1016/j.jtice.2021.06.015
Abstract: Abstract In this new era of Industry 4.0, manufacturers tend to store process data from the entire production, regardless of whether they are “normal” or “faulty” for further data analysis. However, almost all the existing… read more here.
Keywords: prior variational; variational autoencoder; mixture prior; fault ... See more keywords
Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.1c01573
Abstract: Some of the most common applications of machine learning (ML) algorithms dealing with small molecules usually fall within two distinct domains, namely, the prediction of molecular properties and the design of novel molecules with some… read more here.
Keywords: prediction molecular; molecular properties; variational autoencoder; grammar variational ... See more keywords
Dynamics-Based Peptide-MHC Binding Optimization by a Convolutional Variational Autoencoder: A Use-Case Model for CASTELO.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.1c00870
Abstract: An unsolved challenge in the development of antigen-specific immunotherapies is determining the optimal antigens to target. Comprehension of antigen-major histocompatibility complex (MHC) binding is paramount toward achieving this goal. Here, we apply CASTELO, a combined… read more here.
Keywords: variational autoencoder; optimization; convolutional variational; mhc binding ... See more keywords
Deep learning on the 2-dimensional Ising model to extract the crossover region with a variational autoencoder
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-69848-5
Abstract: The 2-dimensional Ising model on a square lattice is investigated with a variational autoencoder in the non-vanishing field case for the purpose of extracting the crossover region between the ferromagnetic and paramagnetic phases. The encoded… read more here.
Keywords: variational autoencoder; crossover region; dimensional ising; ising model ... See more keywords
A hidden feature label propagation method based on deep convolution variational autoencoder for fault diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ac4ffa
Abstract: Vibration signal of mechanical component usually exhibits non-linear and non-stationary characteristics, the key step of fault diagnosis is to extract discriminant features hidden in the vibration signal, in order to improve diagnostic performance and identify… read more here.
Keywords: label propagation; method; variational autoencoder; fault diagnosis ... See more keywords
Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad152
Abstract: Single-cell RNA sequencing (scRNA-seq) is a revolutionary breakthrough that determines the precise gene expressions on individual cells and deciphers cell heterogeneity and subpopulations. However, scRNA-seq data are much noisier than traditional high-throughput RNA-seq data because… read more here.
Keywords: seq data; cell; scrna seq; seq ... See more keywords
bmVAE: a variational autoencoder method for clustering single-cell mutation data
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac790
Abstract: Abstract Motivation Genetic intra-tumor heterogeneity (ITH) characterizes the differences in genomic variations between tumor clones, and accurately unmasking ITH is important for personalized cancer therapy. Single-cell DNA sequencing now emerges as a powerful means for… read more here.
Keywords: cell; mutation data; single cell; variational autoencoder ... See more keywords
Sc2Mol: a scaffold-based two-step molecule generator with variational autoencoder and transformer
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac814
Abstract: Abstract Motivation Finding molecules with desired pharmaceutical properties is crucial in drug discovery. Generative models can be an efficient tool to find desired molecules through the distribution learned by the model to approximate given training… read more here.
Keywords: autoencoder transformer; molecule; molecule generator; variational autoencoder ... See more keywords
Structural phase transitions in a MoWSe2 monolayer: Molecular dynamics simulations and variational autoencoder analysis
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review B"
DOI: 10.1103/physrevb.100.014108
Abstract: Electrical and optoelectronic properties of two-dimensional (2D) transition metal dichalcogenides (TMDCs) can be tuned by exploiting their structural phase transitions. Here semiconducting (2H) to metallic (1T) phase transition is investigated in a strained ${\mathrm{MoWSe}}_{2}$ monolayer… read more here.
Keywords: dynamics simulations; molecular dynamics; phase transitions; variational autoencoder ... See more keywords