Machine learning classification reveals robust morphometric biomarker of glial and neuronal arbors
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neuroscience Research"
DOI: 10.1002/jnr.25131
Abstract: Neurons and glia are the two main cell classes in the nervous systems of most animals. Although functionally distinct, neurons and glia are both characterized by multiple branching arbors stemming from the cell bodies. Glial… read more here.
Keywords: reveals robust; machine; neurons glia; classification reveals ... See more keywords
Deep learning for classification of normal swallows in adults
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.12.059
Abstract: Cervical auscultation is a method for assessing swallowing performance. However, its ability to serve as a classification tool for a practical clinical assessment method is not fully understood. In this study, we utilized neural network… read more here.
Keywords: classification; belief networks; deep belief; classification normal ... See more keywords
Application of Machine Learning to Classification of Volcanic Deformation in Routinely-Generated InSAR data
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Geophysical Research"
DOI: 10.1029/2018jb015911
Abstract: Recent improvements in the frequency, type, and availability of satellite images mean it is now feasible to routinely study volcanoes in remote and inaccessible regions, including those with no ground-based monitoring. In particular, Interferometric Synthetic… read more here.
Keywords: volcanic deformation; machine learning; application machine; deformation ... See more keywords
Machine learning classification of Gaia Data Release 2
Sign Up to like & getrecommendations! Published in 2018 at "Research in Astronomy and Astrophysics"
DOI: 10.1088/1674-4527/18/10/118
Abstract: Machine learning has increasingly gained more popularity with its incredibly powerful ability to make predictions or calculated suggestions for large amounts of data. We apply the machine learning classification to 85,613,922 objects in the $Gaia$… read more here.
Keywords: machine; machine learning; gaia data; data release ... See more keywords
Deep learning classification in asteroseismology
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stx1174
Abstract: In the power spectra of oscillating red giants, there are visually distinct features defining stars ascending the red giant branch from those that have commenced helium core burning. We train a one-dimensional convolutional neural network… read more here.
Keywords: deep learning; red giants; asteroseismology; classification asteroseismology ... See more keywords
Virtual screening of antimicrobial plant extracts by machine-learning classification of chemical compounds in semantic space
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1101/2023.03.23.533934
Abstract: Plant extract is a mixture of diverse phytochemicals, and considered as an important resource for drug discovery. However, large-scale exploration of the bioactive extracts has been hindered by various obstacles until now. In this research,… read more here.
Keywords: learning classification; semantic space; machine learning; plant ... See more keywords
Machine-learning classification of two-dimensional vortex configurations
Sign Up to like & getrecommendations! Published in 2022 at "Physical Review A"
DOI: 10.1103/physreva.105.033301
Abstract: We consider computer generated configurations of quantised vortices in planar superfluid Bose–Einstein condensates. We show that unsupervised machine learning technology can successfully be used for classifying such vortex configurations to identify prominent vortex phases of… read more here.
Keywords: vortex configurations; machine learning; learning classification; two dimensional ... See more keywords
An Evaluation of Four Resampling Methods Used in Machine Learning Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2020.2978066
Abstract: This article investigates resampling methods used to evaluate the performance of machine learning classification algorithms. It compares four key resampling methods: 1) Monte Carlo resampling, 2) the Bootstrap Method, 3) k-fold Cross Validation, and 4)… read more here.
Keywords: classification; machine learning; resampling methods; four resampling ... See more keywords
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2020.2994459
Abstract: Deep learning (DL) has proved successful in medical imaging and, in the wake of the recent COVID-19 pandemic, some works have started to investigate DL-based solutions for the assisted diagnosis of lung diseases. While existing… read more here.
Keywords: learning classification; lung; level; covid ... See more keywords
Deep Learning Classification of Colorectal Lesions Based on Whole Slide Images
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15110398
Abstract: Microscopic tissue analysis is the key diagnostic method needed for disease identification and choosing the best treatment regimen. According to the Global Cancer Observatory, approximately two million people are diagnosed with colorectal cancer each year,… read more here.
Keywords: learning classification; classification colorectal; deep learning; whole slide ... See more keywords