Unsupervised classification of multi-omics data during cardiac remodeling using deep learning.
Sign Up to like & getrecommendations! Published in 2019 at "Methods"
DOI: 10.1016/j.ymeth.2019.03.004
Abstract: Integration of multi-omics in cardiovascular diseases (CVDs) presents high potentials for translational discoveries. By analyzing abundance levels of heterogeneous molecules over time, we may uncover biological interactions and networks that were previously unidentifiable. However, to… read more here.
Keywords: multi; multi omics; deep learning; unsupervised classification ... See more keywords
Unsupervised classification of voltammetric data beyond principal component analysis.
Sign Up to like & getrecommendations! Published in 2022 at "Chemical communications"
DOI: 10.1039/d2cc03187f
Abstract: In this study, we evaluate different apoproaches to unsupervised classification of cyclic voltammetric data, including Principal Component Analysis (PCA), t-distributed Stochastic Neighbour Embedding (t-SNE), Uniform Manifold Approximation and Projection (UMAP) as well as neural networks.… read more here.
Keywords: unsupervised classification; principal component; voltammetric data; component analysis ... See more keywords
Unsupervised classification reveals consistency and degeneracy in neural network patterns of emotion
Sign Up to like & getrecommendations! Published in 2022 at "Social Cognitive and Affective Neuroscience"
DOI: 10.1093/scan/nsac028
Abstract: Abstract In the present study, we used an unsupervised classification algorithm to reveal both consistency and degeneracy in neural network connectivity during anger and anxiety. Degeneracy refers to the ability of different biological pathways to… read more here.
Keywords: unsupervised classification; consistency degeneracy; emotion; anger anxiety ... See more keywords
Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2020.3021480
Abstract: Objective: Ablation treatment for persistent atrial fibrillation (persAF) remains challenging due to the absence of a ‘ground truth’ for atrial substrate characterization and the presence of multiple mechanisms driving the arrhythmia. We implemented an unsupervised… read more here.
Keywords: atrial electrograms; persistent atrial; unsupervised classification; atrial fibrillation ... See more keywords
Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2654486
Abstract: In this paper, a graph-based nonlocal total variation method is proposed for unsupervised classification of hyperspectral images (HSI). The variational problem is solved by the primal-dual hybrid gradient algorithm. By squaring the labeling function and… read more here.
Keywords: algorithm; nonlocal total; classification hyperspectral; unsupervised classification ... See more keywords
Special Issue on Supervised and Unsupervised Classification Algorithms - Foreword from Guest Editors
Sign Up to like & getrecommendations! Published in 2023 at "Algorithms"
DOI: 10.3390/a16030145
Abstract: Supervised and unsupervised classification algorithms are the two main branches of machine learning [...] read more here.
Keywords: unsupervised classification; issue supervised; supervised unsupervised; special issue ... See more keywords