Shasha Yuan

According to our database1, Shasha Yuan authored at least 26 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations.
J. Comput. Sci. Technol., 2021

The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis.
Int. J. Neural Syst., 2021

2020
Epileptic seizure prediction based on local mean decomposition and deep convolutional neural network.
J. Supercomput., 2020

LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring.
IEEE J. Biomed. Health Informatics, 2020

Scalp EEG classification using deep Bi-LSTM network for seizure detection.
Comput. Biol. Medicine, 2020

IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method.
BMC Bioinform., 2020

Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Automatic seizure detection based on kernel robust probabilistic collaborative representation.
Medical Biol. Eng. Comput., 2019

Laplacian regularized low-rank representation for cancer samples clustering.
Comput. Biol. Chem., 2019

Integrative graph regularized matrix factorization for drug-pathway associations analysis.
Comput. Biol. Chem., 2019

L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions.
BMC Bioinform., 2019

2018
Epileptic Seizure Prediction Using Diffusion Distance and Bayesian Linear Discriminate Analysis on Intracranial EEG.
Int. J. Neural Syst., 2018

Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data.
Proceedings of the Intelligent Computing Theories and Application, 2018

A Fast Quantum Clustering Approach for Cancer Gene Clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Sparse representation-based EMD and BLDA for automatic seizure detection.
Medical Biol. Eng. Comput., 2017

A novel low-rank representation method for identifying differentially expressed genes.
Int. J. Data Min. Bioinform., 2017

General <i>N</i>-dark vector soliton solution for multi-component defocusing Hirota system in optical fiber media.
Commun. Nonlinear Sci. Numer. Simul., 2017

2016
Epileptic Seizure Detection with Log-Euclidean Gaussian Kernel-Based Sparse Representation.
Int. J. Neural Syst., 2016

An Improved Sparse Representation over Learned Dictionary Method for Seizure Detection.
Int. J. Neural Syst., 2016

2015
Iris recognition based on a novel variation of local binary pattern.
Vis. Comput., 2015

Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG.
Int. J. Neural Syst., 2015

Kernel Collaborative Representation-Based Automatic Seizure Detection in Intracranial EEG.
Int. J. Neural Syst., 2015

2014
Epileptic EEG Classification Based on Kernel Sparse Representation.
Int. J. Neural Syst., 2014


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