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Image feature embedding with a deep learning framework improves genome-wide association studies on dog endophenotypes. [PDF]
Sci AdvE GX, Wang GD.
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Hybrid CNN-GCN framework for brain tumor MRI classification: A graph-based approach to smart healthcare diagnostics. [PDF]
J Appl Clin Med PhysAlkasasbeh MS +7 more
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Predicting response to immunochemotherapy in EGFR-mutant lung adenocarcinoma after third-generation TKI resistance using CT radiomics-based habitat imaging. [PDF]
Front ImmunolQie S, Shi Y, Li J, Jia S, Yin X.
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Designing genetic programming classifiers with feature selection and feature construction
Applied Soft Computing Journal, 2020Abstract Due to the flexibility of Genetic Programming (GP), GP has been used for feature construction, feature selection and classifier construction. In this paper, GP classifiers with feature selection and feature construction are investigated to obtain simple and effective classification rules.
Xiaoying Gao
exaly +2 more sources
2006
The present paper discusses the issue of enhancing classification performance by means other than improving the ability of certain Machine Learning algorithms to construct a precise classification model. On the contrary, we approach this significant problem from the scope of an extended coding of training data. More specifically, our method attempts to
Manolis Maragoudakis, Nikos Fakotakis
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The present paper discusses the issue of enhancing classification performance by means other than improving the ability of certain Machine Learning algorithms to construct a precise classification model. On the contrary, we approach this significant problem from the scope of an extended coding of training data. More specifically, our method attempts to
Manolis Maragoudakis, Nikos Fakotakis
openaire +1 more source