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ORCIDGuozhong Feng
Person information
- affiliation: Northeast Normal University, School of Information Science and Technology, Changchun, China
- affiliation: Northeast Normal University, Key Laboratory of Applied Statistics of Ministry of Education, Changchun, China
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2020 – today
- 2022
[j16]Yue Zhang, Chenzhen Xia, Xingyu Zhang, Ye Sha, Guozhong Feng, Qiang Gao:
Quantifying the relationships of soil properties and crop growth with yield in a NPK fertilizer application maize field. Comput. Electron. Agric. 198: 107011 (2022)- [j15]Baiguo An, Guozhong Feng, Jianhua Guo
:
Interaction Identification and Clique Screening for Classification with Ultra-high Dimensional Discrete Features. J. Classif. 39(1): 122-146 (2022) - 2021
- [j14]Jinchao Ji, Ruonan Li, Wei Pang, Fei He, Guozhong Feng, Xiaowei Zhao:
A Multi-View Clustering Algorithm for Mixed Numeric and Categorical Data. IEEE Access 9: 24913-24924 (2021) - [j13]Lixin Meng, Jiwei Zhang, Xue Zhang, Guozhong Feng:
Bayesian estimation of time-varying parameters in ordinary differential equation models with noisy time-varying covariates. Commun. Stat. Simul. Comput. 50(3): 708-723 (2021) - 2020
- [j12]Jinchao Ji, Wei Pang, Zairong Li, Fei He, Guozhong Feng, Xiaowei Zhao:
Clustering Mixed Numeric and Categorical Data With Cuckoo Search. IEEE Access 8: 30988-31003 (2020) - [j11]Bangzuo Zhang, Min Zhu, Mengying Yu, Dongbing Pu, Guozhong Feng:
Extreme Residual Connected Convolution-Based Collaborative Filtering for Document Context-Aware Rating Prediction. IEEE Access 8: 53604-53613 (2020) - [j10]Hongbo Li, Guozhong Feng, Minghao Yin:
On combining variable ordering heuristics for constraint satisfaction problems. J. Heuristics 26(4): 453-474 (2020)
2010 – 2019
- 2019
- [j9]Bangzuo Zhang, Haobo Zhang, Xiaoxin Sun, Guozhong Feng, Chunguang He:
Integrating an Attention Mechanism and Convolution Collaborative Filtering for Document Context-Aware Rating Prediction. IEEE Access 7: 3826-3835 (2019) - [j8]Chuan Wan, Yuling Wang, Yaoze Liu, Jinchao Ji, Guozhong Feng:
Composite Feature Extraction and Selection for Text Classification. IEEE Access 7: 35208-35219 (2019) - [j7]Jinchao Ji, Yongbing Chen, Guozhong Feng, Xiaowei Zhao, Fei He:
Clustering mixed numeric and categorical data with artificial bee colony strategy. J. Intell. Fuzzy Syst. 36(2): 1521-1530 (2019) - [j6]Meiqi Wang, Zhiyuan Wu, Xiaoxin Sun, Guozhong Feng, Bangzuo Zhang:
Trust-Aware Collaborative Filtering with a Denoising Autoencoder. Neural Process. Lett. 49(2): 835-849 (2019) - 2018
- [j5]Lin Yue, Xiaoxin Sun, Wenzhu Gao, Guo-Zhong Feng, Bangzuo Zhang:
Multiple Auxiliary Information Based Deep Model for Collaborative Filtering. J. Comput. Sci. Technol. 33(4): 668-681 (2018) - [j4]Guozhong Feng, Shaoting Li, Tieli Sun, Bangzuo Zhang:
A probabilistic model derived term weighting scheme for text classification. Pattern Recognit. Lett. 110: 23-29 (2018) - 2017
- [j3]Xuefeng Zang, Tianqi Liu, Xiaoxin Sun, Guozhong Feng, Bangzuo Zhang:
一种基于Bhattacharyya系数和项目相关性的协同过滤算法 (Collaborative Filtering Algorithm Based on Bhattacharyya Coefficient and Item Correlation). 计算机科学 44(12): 52-57 (2017) - 2015
- [j2]Guozhong Feng, Jianhua Guo, Bing-Yi Jing, Tieli Sun:
Feature subset selection using naive Bayes for text classification. Pattern Recognit. Lett. 65: 109-115 (2015) - 2012
- [j1]Guozhong Feng, Jianhua Guo, Bing-Yi Jing, Lizhu Hao:
A Bayesian feature selection paradigm for text classification. Inf. Process. Manag. 48(2): 283-302 (2012)
Coauthor Index
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