Jinchao Ji

According to our database, Jinchao Ji authored at least 15 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

An improved master-apprentice evolutionary algorithm for minimum independent dominating set problem.

Shiwei Pan, Yiming Ma, Yiyuan Wang, Zhiguo Zhou, Jinchao Ji, Minghao Yin, Shuli Hu

Frontiers Comput. Sci., August, 2023

Relationship-aware contrastive learning for social recommendations.

Jinchao Ji, Bingjie Zhang, Junchao Yu, Xudong Zhang, Dinghang Qiu, Bangzuo Zhang

Inf. Sci., June, 2023

2021

A Multi-View Clustering Algorithm for Mixed Numeric and Categorical Data.

Jinchao Ji, Ruonan Li, Wei Pang, Fei He, Guozhong Feng, Xiaowei Zhao

IEEE Access, 2021

2020

Clustering Mixed Numeric and Categorical Data With Cuckoo Search.

Jinchao Ji, Wei Pang, Zairong Li, Fei He, Guozhong Feng, Xiaowei Zhao

IEEE Access, 2020

2019

Clustering mixed numeric and categorical data with artificial bee colony strategy.

Jinchao Ji, Yongbing Chen, Guozhong Feng, Xiaowei Zhao, Fei He

J. Intell. Fuzzy Syst., 2019

Analysis and prediction of human acetylation using a cascade classifier based on support vector machine.

Qiao Ning, Miao Yu, Jinchao Ji, Zhiqiang Ma, Xiaowei Zhao

BMC Bioinform., 2019

Composite Feature Extraction and Selection for Text Classification.

Chuan Wan, Yuling Wang, Yaoze Liu, Jinchao Ji, Guozhong Feng

IEEE Access, 2019

2018

基于模糊质心的混合属性数据模糊加权聚类算法 (Fuzzy Weighted Clustering Algorithm with Fuzzy Centroid for Mixed Data).

Jinchao Ji, Xiaowei Zhao, Fei He, Yinghui Hu, Tian Bai, Zairong Li

计算机科学, 2018

2017

Deep learning architecture for iris recognition based on optimal Gabor filters and deep belief network.

Fei He, Ye Han, Han Wang, Jinchao Ji, Yuanning Liu, Zhiqiang Ma

J. Electronic Imaging, 2017

2016

A novel kernel extreme learning machine algorithm based on self-adaptive artificial bee colony optimisation strategy.

Chao Ma, Jihong Ouyang, Hui-Ling Chen, Jinchao Ji

Int. J. Syst. Sci., 2016

2015

An Initialization Method for Clustering Mixed Numeric and Categorical Data Based on the Density and Distance.

Jinchao Ji, Wei Pang, Yanlin Zheng, Zhe Wang, Zhiqiang Ma

Int. J. Pattern Recognit. Artif. Intell., 2015

2013

An improved k-prototypes clustering algorithm for mixed numeric and categorical data.

Jinchao Ji, Tian Bai, Chunguang Zhou, Chao Ma, Zhe Wang

Neurocomputing, 2013

A new Community Detection algorithm based on Distance Centrality.

Longju Wu, Tian Bai, Zhe Wang, Limei Wang, Yu Hu, Jinchao Ji

Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012

Corrigendum to 'A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data' [Knowledge-Based Systems, 30 (2012) 129-135].

Jinchao Ji, Wei Pang, Chunguang Zhou, Xiao Han, Zhe Wang

Knowl. Based Syst., 2012

A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data.

Jinchao Ji, Wei Pang, Chunguang Zhou, Xiao Han, Zhe Wang

Knowl. Based Syst., 2012