Long Zhao

According to our database, Long Zhao authored at least 22 papers between 2008 and 2023.

Collaborative distances:

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

2023

Improved ReliefF-based feature selection algorithm for cancer histology.

Jiao Liu, Long Zhao, Chengkun Si, Hongjiao Guan, Xiangjun Dong

Biomed. Signal Process. Control., August, 2023

Extended natural neighborhood for SMOTE and its variants in imbalanced classification.

Hongjiao Guan, Long Zhao, Xiangjun Dong, Chuan Chen

Eng. Appl. Artif. Intell., 2023

Deep Feature Selection Algorithm for Classification of Gastric Cancer Subtypes.

Chengkun Si, Long Zhao, Jiao Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Classifying the multi-omics data of gastric cancer using a deep feature selection method.

Yanyu Hu, Long Zhao, Zhao Li, Xiangjun Dong, Tiantian Xu, Yuhai Zhao

Expert Syst. Appl., 2022

Mining Negative Sequential Rules from Negative Sequential Patterns.

Chuanhou Sun, Xiaoqi Jiang, Xiangjun Dong, Tiantian Xu, Long Zhao, Zhao Li, Yuhai Zhao

Proceedings of the Database Systems for Advanced Applications, 2022

2020

Genetic Similarity Analysis Based on Positive and Negative Sequence Patterns of DNA.

Yue Lu, Long Zhao, Zhao Li, Xiangjun Dong

Symmetry, 2020

An efficient method for pruning redundant negative and positive association rules.

Xiangjun Dong, Feng Hao, Long Zhao, Tiantian Xu

Neurocomputing, 2020

A Structure-Induced Framework for Multi-Label Feature Selection With Highly Incomplete Labels.

Tiantian Xu, Long Zhao

IEEE Access, 2020

2019

Study on Iris Segmentation Algorithm Based on Dense U-Net.

Xiaoqiang Wu, Long Zhao

IEEE Access, 2019

2018

Fuzzy neural network optimization and network traffic forecasting based on improved differential evolution.

Yue Hou, Long Zhao, Huaiwei Lu

Future Gener. Comput. Syst., 2018

An Industrial Internet of Things Feature Selection Method Based on Potential Entropy Evaluation Criteria.

Long Zhao, Xiangjun Dong

IEEE Access, 2018

Application of Negative and Positive Association Rules in Mental Health Analysis of College Students.

Feng Hao, Long Zhao, Tiantian Xu, Xiangjun Dong

Proceedings of the 14th International Conference on Natural Computation, 2018

2017

The combined cloud model for edge detection.

Long Zhao, Xue Dong, WeiYang Chen, LinFeng Jiang, Xiangjun Dong

Multim. Tools Appl., 2017

K- local maximum margin feature extraction algorithm for churn prediction in telecom.

Long Zhao, Qian Gao, Xiangjun Dong, Aimei Dong, Xue Dong

Clust. Comput., 2017

Effective algorithm for determining the number of clusters and its application in image segmentation.

Jialun Pei, Long Zhao, Xiangjun Dong, Xue Dong

Clust. Comput., 2017

NegI-NSP: Negative sequential pattern mining based on loose constraints.

Ping Qiu, Long Zhao, Xiangjun Dong

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Analysis of medical and healthcare data based on positive and negative association rules.

Chenlu Li, Feng Hao, Long Zhao, Lizhe Song, Xiangjun Dong

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

Supervised feature selection method via potential value estimation.

Long Zhao, LinFeng Jiang, Xiangjun Dong

Clust. Comput., 2016

2015

A new Feature Selection method for face recognition based on general data field.

Long Zhao, Shuliang Wang, Yi Lin

Proceedings of the ASE BigData & SocialInformatics 2015, 2015

2014

A New Filter Approach Based on Generalized Data Field.

Long Zhao, Shuliang Wang, Yi Lin

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

Topology Potential-Based Parameter Selecting for Support Vector Machine.

Yi Lin, Shuliang Wang, Long Zhao, Dakui Wang

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2008

Mining Negative Association Rules in Multi-database.

Shiju Shang, Xiangjun Dong, Runian Geng, Long Zhao

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008