Feature optimization method for machine learning-based diagnosis of schizophrenia using magnetoencephalography
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2020.108688
Abstract: BACKGROUND When many features and a small number of clinical data exist, previous studies have used a few top-ranked features from the Fisher's discriminant ratio (FDR) for feature selection. However, there are many similarities between… read more here.
Keywords: source level; feature; feature optimization; optimization method ... See more keywords
Super Resolution Image Visual Quality Assessment Based on Feature Optimization
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1263348
Abstract: Most existing no-referenced image quality assessment (NR-IQA) algorithms need to extract features first and then predict image quality. However, only a small number of features work in the model, and the rest will degrade the… read more here.
Keywords: image quality; feature optimization; feature; image ... See more keywords
Occupational Injury Risk Mitigation: Machine Learning Approach and Feature Optimization for Smart Workplace Surveillance
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph192113962
Abstract: Forecasting the severity of occupational injuries shall be all industries’ top priority. The use of machine learning is theoretically valuable to assist the predictive analysis, thus, this study attempts to propose a feature-optimized predictive model… read more here.
Keywords: machine learning; feature optimization; model; occupational injury ... See more keywords