"Handwriting Classification Based on Support Vector Machine with Cross Validation"
written by Anith Adibah Hasseim, Rubita Sudirman, Puspa Inayat Khalid,
published by Engineering, Vol.5 No.5B, 2013
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Non-invasive Brain Tumor Detection using Magnetic Resonance Imaging based Fractal Texture Features and Shape Measures
2020
[2] Significance of prosodic features for automatic emotion recognition
2020
[3] Automatic handwriter identification using advanced machine learning.
2019
[4] Análise de atributos de classificação para o diagnóstico de falhas em rolamentos baseado em SVM
2019
[5] Skin Embryo Classification Model based on BP Neural Network optimized by Genetic Algorithm
2018
[6] Glioma grade classification using wavelet transform-local binary pattern based statistical texture features and geometric measures extracted from MRI
Journal of Experimental & Theoretical Artificial Intelligence, 2018
[7] Contribution to writer's soft-biometrics prediction from handwriting analysis
2017
[8] 基于遗传算法特征选择的 HBV 再激活分类预测模型.
Chinese Journal of Bioinformatics, 2016
[9] Multi-resolution-based road state estimation
2016
[10] The classification prognosis models of hepatitis b virus reactivation based on Bayes and support vector machine after feature extraction of genetic algorithm
2016
[11] 基于 Matlab 生物节律分析的高血压脑出血预后研究
世界睡眠医学杂志, 2016
[12] 信用风险评估中 DKIPSO-SVC 组合模型的仿真研究
系统仿真学报, 2015
[13] Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines
Arabian Journal for Science and Engineering, 2015
[14] Automatic Personality Analysis through Signatures