Yu-Dong Zhang (Eugene)
Yu-Dong Zhang (Eugene)
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Citado por
Citado por
A comprehensive survey on particle swarm optimization algorithm and its applications
Y Zhang, S Wang, G Ji
Mathematical Problems in Engineering 2015, 2015
Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network
Y Zhang, L Wu
Expert systems with applications 36 (5), 8849-8854, 2009
A hybrid method for MRI brain image classification
Y Zhang, Z Dong, L Wu, S Wang
Expert Systems with Applications 38 (8), 10049-10053, 2011
Binary PSO with mutation operator for feature selection using decision tree applied to spam detection
Y Zhang, S Wang, P Phillips, G Ji
Knowledge-Based Systems 64, 22-31, 2014
An Mr Brain Images Classifier via Principal Component Analysis and Kernel Support Vector Machine
Y Zhang, L Wu
Progress In Electromagnetics Research 130, 369-388, 2012
Optimal Multi-Level Thresholding Based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach
Y Zhang, L Wu
Entropy 13 (4), 841-859, 2011
Classification of fruits using computer vision and a multiclass support vector machine
Y Zhang, L Wu
sensors 12 (9), 12489-12505, 2012
Magnetic Resonance Brain Image Classification by an Improved Artificial Bee Colony Algorithm
Y Zhang, L Wu, S Wang
Progress In Electromagnetics Research 116, 65-79, 2011
Fruit classification using computer vision and feedforward neural network
Y Zhang, S Wang, G Ji, P Phillips
Journal of Food Engineering 143, 167-177, 2014
Preclinical Diagnosis of Magnetic Resonance (MR) Brain Images via Discrete Wavelet Packet Transform with Tsallis Entropy and Generalized Eigenvalue Proximal Support Vector …
Y Zhang, Z Dong, S Wang, G Ji, J Yang
Entropy 17 (4), 1795-1813, 2015
Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning
Y Zhang, Z Dong, P Phillips, S Wang, G Ji, J Yang, TF Yuan
Frontiers in Computational Neuroscience 9, 66, 2015
Classification of Alzheimer Disease Based on Structural Magnetic Resonance Imaging by Kernel Support Vector Machine Decision Tree
Y Zhang, S Wang, Z Dong
Progress In Electromagnetics Research 144, 171-184, 2014
Facial Emotion Recognition Based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation
YD Zhang, ZJ Yang, HM Lu, XX Zhou, P Phillips, QM Liu, SH Wang
IEEE Access 4, 8375-8385, 2016
A novel method for magnetic resonance brain image classification based on adaptive chaotic PSO
Y Zhang, S Wang, L Wu
Progress In Electromagnetics Research 109, 325-343, 2010
Automated classification of brain images using wavelet-energy and biogeography-based optimization
G Yang, Y Zhang, J Yang, G Ji, Z Dong, S Wang, C Feng, Q Wang
Multimedia Tools and Applications 75 (23), 15601-15617, 2016
Feed‐forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection
S Wang, Y Zhang, Z Dong, S Du, G Ji, J Yan, J Yang, Q Wang, C Feng, ...
International Journal of Imaging Systems and Technology 25 (2), 153-164, 2015
Pathological brain detection based on wavelet entropy and Hu moment invariants
Y Zhang, S Wang, P Sun, P Phillips
Bio-medical materials and engineering 26 (s1), S1283-S1290, 2015
Fruit classification by wavelet-entropy and feedforward neural network trained by fitness-scaled chaotic ABC and biogeography-based optimization
S Wang, Y Zhang, G Ji, J Yang, J Wu, L Wei
Entropy 17 (8), 5711-5728, 2015
Mitochondrial Dysfunction as a Neurobiological Subtype of Autism Spectrum Disorder: Evidence From Brain Imaging
S Goh, Z Dong, Y Zhang, S DiMauro, BS Peterson
JAMA psychiatry, 2014
An MR brain images classifier system via particle swarm optimization and kernel support vector machine
Y Zhang, S Wang, G Ji, Z Dong
The Scientific World Journal 2013, 2013
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