Genome-wide association studies combined with k-fold cross-validation identify rs17822931 as an ancestry-informative marker in Han Chinese population.
Sign Up to like & getrecommendations! Published in 2023 at "Electrophoresis"
DOI: 10.1002/elps.202200227
Abstract: DNA-based ancestry inference has long been a research hot spot in forensic science. The differentiation of Han Chinese population, such as the northern-to-southern substructure, would benefit forensic practice. In the present study, we enrolled participants… read more here.
Keywords: cross validation; chinese population; fold cross; han chinese ... See more keywords
FBSED based automatic diagnosis of COVID-19 using X-ray and CT images
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104454
Abstract: This work introduces the Fourier-Bessel series expansion-based decomposition (FBSED) method, which is an implementation of the wavelet packet decomposition approach in the Fourier-Bessel series expansion domain. The proposed method has been used for the diagnosis… read more here.
Keywords: covid using; fbsed based; cross validation; diagnosis ... See more keywords
Dependency Analysis of Accuracy Estimates in k-Fold Cross Validation
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2017.2740926
Abstract: A standard procedure for evaluating the performance of classification algorithms is k-fold cross validation. Since the training sets for any pair of iterations in k-fold cross validation are overlapping when the number of folds is… read more here.
Keywords: cross validation; fold cross; accuracy estimates; validation ... See more keywords
Voting-based Approach in Consensus Clustering through q-fold cross-validation
Sign Up to like & getrecommendations! Published in 2019 at "Electronic Journal of Applied Statistical Analysis"
DOI: 10.1285/i20705948v12n3p657
Abstract: Over the past 50 years, extensive research have been carried out to understand how clustering work in classifying data into meaningful groups. Various clustering algorithms and cluster validity indexes have been proposedand improvised to obtain… read more here.
Keywords: consensus; approach; consensus clustering; fold cross ... See more keywords
Special Issue on Using Machine Learning Algorithms in the Prediction of Kyphosis Disease: A Comparative Study
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9163322
Abstract: Machine learning (ML) is the technology that allows a computer system to learn from the environment, through re-iterative processes, and improve itself from experience. Recently, machine learning has gained massive attention across numerous fields, and… read more here.
Keywords: machine; fold cross; cross validation; machine learning ... See more keywords
Damage Progress Classification in AlSi10Mg SLM Specimens by Convolutional Neural Network and k-Fold Cross Validation
Sign Up to like & getrecommendations! Published in 2022 at "Materials"
DOI: 10.3390/ma15134428
Abstract: In this study, the damage evolution stages in testing AlSi10Mg specimens manufactured using Selective Laser Melting (SLM) process are identified using Acoustic Emission (AE) technique and Convolutional Neural Network (CNN). AE signals generated during the… read more here.
Keywords: neural network; network; damage; convolutional neural ... See more keywords