According to our database1, Juanying Xie authored at least 15 papers between 2010 and 2018.
Legend:Book In proceedings Article PhD thesis Other
An Adaptive Clustering Algorithm by Finding Density Peaks.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Connectivity Based Method for Clustering Microbial Communities from Metagenomics Data of Water and Soil Samples.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Extreme Learning Machine Based Diagnosis Models for Erythemato-Squamous Diseases.
Proceedings of the Health Information Science - 7th International Conference, 2018
Local Standard Deviation Spectral Clustering.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018
Clustering by Searching Density Peaks via Local Standard Deviation.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017
Granular Computing Combined with Support Vector Machines for Diagnosing Erythemato-Squamous Diseases.
Proceedings of the Health Information Science - 6th International Conference, 2017
Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors.
Inf. Sci., 2016
Coordinating Discernibility and Independence Scores of Variables in a 2D Space for Efficient and Accurate Feature Selection.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016
Differential Feature Recognition of Breast Cancer Patients Based on Minimum Spanning Tree Clustering and F-statistics.
Proceedings of the Health Information Science - 5th International Conference, 2016
A Stable Gene Subset Selection Algorithm for Cancers.
Proceedings of the Health Information Science - 4th International Conference, 2015
Extending twin support vector machine classifier for multi-category classification problems.
Intell. Data Anal., 2013
Novel Hybrid Feature Selection Algorithms for Diagnosing Erythemato-Squamous Diseases.
Proceedings of the Health Information Science - First International Conference, 2012
An Efficient Global K-means Clustering Algorithm.
Using support vector machines with a novel hybrid feature selection method for diagnosis of erythemato-squamous diseases.
Expert Syst. Appl., 2011
A Novel Hybrid Feature Selection Method Based on IFSFFS and SVM for the Diagnosis of Erythemato-Squamous Diseases.
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010