Yudong Zhang
According to our database1,
Yudong Zhang
authored at least 154 papers
between 2008 and 2021.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2021
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Fuzzy Syst., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Pattern Recognit. Lett., 2021
Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework.
Pattern Recognit. Lett., 2021
Pattern Recognit. Lett., 2021
A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis.
Mach. Vis. Appl., 2021
Multim. Tools Appl., 2021
Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network.
Inf. Process. Manag., 2021
CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia.
Inf. Process. Manag., 2021
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network.
Inf. Fusion, 2021
A smartly designed automated map based clustering algorithm for the enhanced diagnosis of pathologies in brain MR images.
Expert Syst. J. Knowl. Eng., 2021
2020
Fingerspelling Identification for Chinese Sign Language via AlexNet-Based Transfer Learning and Adam Optimizer.
Sci. Program., 2020
Automated detection of diabetic retinopathy using convolutional neural networks on a small dataset.
Pattern Recognit. Lett., 2020
A classification method for brain MRI via MobileNet and feedforward network with random weights.
Pattern Recognit. Lett., 2020
Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection.
Pattern Recognit. Lett., 2020
Pattern Recognit. Lett., 2020
Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images.
Pattern Recognit. Lett., 2020
Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization.
Neural Comput. Appl., 2020
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation.
Inf. Fusion, 2020
Gingivitis identification via multichannel gray-level co-occurrence matrix and particle swarm optimization neural network.
Int. J. Imaging Syst. Technol., 2020
Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer's disease.
Neurocomputing, 2020
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications.
Neurocomputing, 2020
Diagnosis of COVID-19 by Wavelet Renyi Entropy and Three-Segment Biogeography-Based Optimization.
Int. J. Comput. Intell. Syst., 2020
Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI).
IET Image Process., 2020
H-WordNet: a holistic convolutional neural network approach for handwritten word recognition.
IET Image Process., 2020
Trans. Emerg. Telecommun. Technol., 2020
Characterizing Complexity and Self-Similarity Based on Fractal and Entropy Analyses for Stock Market Forecast Modelling.
Expert Syst. Appl., 2020
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images.
CoRR, 2020
Cerebral micro-bleeding identification based on a nine-layer convolutional neural network with stochastic pooling.
Concurr. Comput. Pract. Exp., 2020
A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer.
Biomed. Signal Process. Control., 2020
IEEE Access Special Section Editorial: Deep Learning for Computer-Aided Medical Diagnosis.
IEEE Access, 2020
Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection.
IEEE Access, 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the Intelligent Computing Theories and Application, 2020
Theory, Analyses and Predictions of Multifractal Formalism and Multifractal Modelling for Stroke Subtypes' Classification.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
2019
IEEE Trans. Geosci. Remote. Sens., 2019
Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation.
Multim. Tools Appl., 2019
Five-category classification of pathological brain images based on deep stacked sparse autoencoder.
Multim. Tools Appl., 2019
Mob. Networks Appl., 2019
J. Comput. Sci., 2019
Deep Semantic Segmentation of Kidney and Space-Occupying Lesion Area Based on SCNN and ResNet Models Combined with SIFT-Flow Algorithm.
J. Medical Syst., 2019
Unsupervised learning-based clustering approach for smart identification of pathologies and segmentation of tissues in brain magnetic resonance imaging.
Int. J. Imaging Syst. Technol., 2019
Teeth category classification via seven-layer deep convolutional neural network with max pooling and global average pooling.
Int. J. Imaging Syst. Technol., 2019
Mobile cloud-assisted paradigms for management of multimedia big data in healthcare systems: Research challenges and opportunities.
Int. J. Inf. Manag., 2019
Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression.
Integr. Comput. Aided Eng., 2019
Introduction to the special section on Advanced Signal Processing in Biomedical Imaging.
Comput. Electr. Eng., 2019
MJaya-ELM: A Jaya algorithm with mutation and extreme learning machine based approach for sensorineural hearing loss detection.
Appl. Soft Comput., 2019
Intelligent Prediction of Human Lower Extremity Joint Moment: An Artificial Neural Network Approach.
IEEE Access, 2019
IEEE Access, 2019
A Channel Calibration Algorithm Based on Isolated Scatterers for Multi-Channel HRWS-SAR.
IEEE Access, 2019
Multilevel Segmentation Optimized by Physical Information for Gridding of Microarray Images.
IEEE Access, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Multifractal Analysis with L2 Norm Denoising Technique: Modelling of MS Subgroups Classification.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019
2018
IEEE Trans. Circuits Syst. Video Technol., 2018
Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm.
Multim. Tools Appl., 2018
Multim. Tools Appl., 2018
Preliminary study on angiosperm genus classification by weight decay and combination of most abundant color index with fractional Fourier entropy.
Multim. Tools Appl., 2018
Twelve-layer deep convolutional neural network with stochastic pooling for tea category classification on GPU platform.
Multim. Tools Appl., 2018
Multim. Tools Appl., 2018
Voxelwise detection of cerebral microbleed in CADASIL patients by leaky rectified linear unit and early stopping.
Multim. Tools Appl., 2018
Seven-layer deep neural network based on sparse autoencoder for voxelwise detection of cerebral microbleed.
Multim. Tools Appl., 2018
Single slice based detection for Alzheimer's disease via wavelet entropy and multilayer perceptron trained by biogeography-based optimization.
Multim. Tools Appl., 2018
Ridge-based curvilinear structure detection for identifying road in remote sensing image and backbone in neuron dendrite image.
Multim. Tools Appl., 2018
Research on node properties of resting-state brain functional networks by using node activity and ALFF.
Multim. Tools Appl., 2018
Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units.
J. Real Time Image Process., 2018
Multiple sclerosis identification by convolutional neural network with dropout and parametric ReLU.
J. Comput. Sci., 2018
Abnormal breast identification by nine-layer convolutional neural network with parametric rectified linear unit and rank-based stochastic pooling.
J. Comput. Sci., 2018
Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling.
J. Medical Syst., 2018
Intelligent facial emotion recognition based on stationary wavelet entropy and Jaya algorithm.
Neurocomputing, 2018
Development of a combinational framework to concurrently perform tissue segmentation and tumor identification in T1 - W, T2 - W, FLAIR and MPR type magnetic resonance brain images.
Expert Syst. Appl., 2018
Multiple Sclerosis Identification Based on Fractional Fourier Entropy and a Modified Jaya Algorithm.
Entropy, 2018
Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm.
Complex., 2018
IEEE Access Special Section Editorial: Advanced Signal Processing Methods In Medical Imaging.
IEEE Access, 2018
2017
Mob. Networks Appl., 2017
Pathological brain detection in MRI scanning via Hu moment invariants and machine learning.
J. Exp. Theor. Artif. Intell., 2017
Innov. Syst. Softw. Eng., 2017
Real-time dynamic MRI using parallel dictionary learning and dynamic total variation.
Neurocomputing, 2017
Fundam. Informaticae, 2017
Non-differentiable Solutions for Local Fractional Nonlinear Riccati Differential Equations.
Fundam. Informaticae, 2017
Texture Analysis Method Based on Fractional Fourier Entropy and Fitness-scaling Adaptive Genetic Algorithm for Detecting Left-sided and Right-sided Sensorineural Hearing Loss.
Fundam. Informaticae, 2017
Abnormal Breast Detection in Mammogram Images by Feed-forward Neural Network Trained by Jaya Algorithm.
Fundam. Informaticae, 2017
Pathological Brain Detection via Wavelet Packet Tsallis Entropy and Real-Coded Biogeography-based Optimization.
Fundam. Informaticae, 2017
Entropy Analysis of Short-Term Heartbeat Interval Time Series during Regular Walking.
Entropy, 2017
Comput. Methods Programs Biomed., 2017
Alcoholism detection by medical robots based on Hu moment invariants and predator-prey adaptive-inertia chaotic particle swarm optimization.
Comput. Electr. Eng., 2017
An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images.
Appl. Soft Comput., 2017
Ford Motor Side-View Recognition System Based on Wavelet Entropy and Back Propagation Neural Network and Levenberg-Marquardt Algorithm.
Proceedings of the Parallel Architecture, Algorithm and Programming, 2017
Preliminary Study on Unilateral Sensorineural Hearing Loss Identification via Dual-Tree Complex Wavelet Transform and Multinomial Logistic Regression.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Hearing Loss Detection in Medical Multimedia Data by Discrete Wavelet Packet Entropy and Single-Hidden Layer Neural Network Trained by Adaptive Learning-Rate Back Propagation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Facial Emotion Recognition via Discrete Wavelet Transform, Principal Component Analysis, and Cat Swarm Optimization.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
Ford Motorcar Identification from Single-Camera Side-View Image Based on Convolutional Neural Network.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
Leaf Recognition for Plant Classification Based on Wavelet Entropy and Back Propagation Neural Network.
Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017
2016
IEEE Trans. Image Process., 2016
Smart detection on abnormal breasts in digital mammography based on contrast-limited adaptive histogram equalization and chaotic adaptive real-coded biogeography-based optimization.
Simul., 2016
Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection: decision tree, <i>k</i>-nearest neighbors, and support vector machine.
Simul., 2016
Automated classification of brain images using wavelet-energy and biogeography-based optimization.
Multim. Tools Appl., 2016
A Multilayer Perceptron Based Smart Pathological Brain Detection System by Fractional Fourier Entropy.
J. Medical Syst., 2016
J. Medical Syst., 2016
A Novel Compressed Sensing Method for Magnetic Resonance Imaging: Exponential Wavelet Iterative Shrinkage-Thresholding Algorithm with Random Shift.
Int. J. Biomed. Imaging, 2016
Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning.
Frontiers Comput. Neurosci., 2016
Fruit classification by biogeography-based optimization and feedforward neural network.
Expert Syst. J. Knowl. Eng., 2016
Tea Category Identification Using a Novel Fractional Fourier Entropy and Jaya Algorithm.
Entropy, 2016
Detection of Left-Sided and Right-Sided Hearing Loss via Fractional Fourier Transform.
Entropy, 2016
Facial Emotion Recognition Based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation.
IEEE Access, 2016
Fractal Dimension Estimation for Developing Pathological Brain Detection System Based on Minkowski-Bouligand Method.
IEEE Access, 2016
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016
Predict Two-Dimensional Protein Folding Based on Hydrophobic-Polar Lattice Model and Chaotic Clonal Genetic Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016
Sparse Autoencoder Based Deep Neural Network for Voxelwise Detection of Cerebral Microbleed.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016
2015
Pattern Recognit. Lett., 2015
Exponential Wavelet Iterative Shrinkage Thresholding Algorithm for compressed sensing magnetic resonance imaging.
Inf. Sci., 2015
Magnetic resonance brain image classification based on weighted-type fractional Fourier transform and nonparallel support vector machine.
Int. J. Imaging Syst. Technol., 2015
Feed-forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection.
Int. J. Imaging Syst. Technol., 2015
Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning.
Frontiers Comput. Neurosci., 2015
Preclinical Diagnosis of Magnetic Resonance (MR) Brain Images via Discrete Wavelet Packet Transform with Tsallis Entropy and Generalized Eigenvalue Proximal Support Vector Machine (GEPSVM).
Entropy, 2015
Entropy, 2015
Fruit Classification by Wavelet-Entropy and Feedforward Neural Network Trained by Fitness-Scaled Chaotic ABC and Biogeography-Based Optimization.
Entropy, 2015
Identification of Green, Oolong and Black Teas in China via Wavelet Packet Entropy and Fuzzy Support Vector Machine.
Entropy, 2015
Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks.
Comput. Math. Methods Medicine, 2015
Detection of Alzheimer's disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC.
Biomed. Signal Process. Control., 2015
Detection of Pathological Brain in MRI Scanning Based on Wavelet-Entropy and Naive Bayes Classifier.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
Proceedings of the Cloud Computing and Security - First International Conference, 2015
Tea Category Classification Based on Feed-Forward Neural Network and Two-Dimensional Wavelet Entropy.
Proceedings of the High Performance Computing and Applications, 2015
Proceedings of the High Performance Computing and Applications, 2015
2014
Binary PSO with mutation operator for feature selection using decision tree applied to spam detection.
Knowl. Based Syst., 2014
Comput. Math. Methods Medicine, 2014
Privacy-Preserving Self-Helped Medical Diagnosis Scheme Based on Secure Two-Party Computation in Wireless Sensor Networks.
Comput. Math. Methods Medicine, 2014
2013
2012
Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine.
Sensors, 2012
2011
Crop Classification by Forward Neural Network with Adaptive Chaotic Particle Swarm Optimization.
Sensors, 2011
J. Comput., 2011
Optimal Multi-Level Thresholding Based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach.
Entropy, 2011
A novel algorithm for all pairs shortest path problem based on matrix multiplication and pulse coupled neural network.
Digit. Signal Process., 2011
Recursive Structure Element Decomposition Using Migration Fitness Scaling Genetic Algorithm.
Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011
2010
J. Convergence Inf. Technol., 2010
Expert Syst. Appl., 2010
Proceedings of the International Conference on Image Processing, 2010
2009
Remote-Sensing Image Classification Based on an Improved Probabilistic Neural Network.
Sensors, 2009
Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network.
Expert Syst. Appl., 2009
Proceedings of the Fifth International Conference on Natural Computation, 2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009
2008