Bin Fu
Bin Fu
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TitleCited byYear
Improving recommendations by the clustering of tag neighbours
R Pan, G Xu, B Fu, P Dolog, Z Wang, M Leginus
J converg 3 (1), 2012
An integrated pruning criterion for ensemble learning based on classification accuracy and diversity
B Fu, Z Wang, R Pan, G Xu, P Dolog
7th International Conference on Knowledge Management in Organizations …, 2013
Constrained NMF-based semi-supervised learning for social media spammer detection
D Yu, N Chen, F Jiang, B Fu, A Qin
Knowledge-Based Systems 125, 64-73, 2017
Point-of-interest recommendations via a supervised random walk algorithm
G Xu, B Fu, Y Gu
IEEE Intelligent Systems, 15-23, 2016
Multi-label learning based on iterative label propagation over graph
B Fu, Z Wang, G Xu, L Cao
Pattern Recognition Letters 42, 85-90, 2014
Learning tree structure of label dependency for multi-label learning
B Fu, Z Wang, R Pan, G Xu, P Dolog
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 159-170, 2012
Coupling multiple views of relations for recommendation
B Fu, G Xu, L Cao, Z Wang, Z Wu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 732-743, 2015
Dynamic Assignment of Base Classifier's Weight in Boosting Method [J]
Journal of Guangxi Normal University (Natural Science Edition) 3, 021, 2009
Deployment of churn prediction model in financial services industry
C Chu, G Xu, J Brownlow, B Fu
Behavioral, Economic and Socio-cultural Computing (BESC), 2016 International …, 2016
Leveraging supervised label dependency propagation for multi-label learning
B Fu, G Xu, Z Wang, L Cao
Data Mining (ICDM), 2013 IEEE 13th International Conference on, 1061-1066, 2013
Algorithm of Classifier Selection for Maximizing the Margin
B Fu, Z Wang, Z Wang
Jisuanji Kexue yu Tansuo 5 (1), 59-67, 2011
A Multiple Source based Transfer Learning Framework for Marketing Campaigns
J Brownlow, C Chu, G Xu, B Culbert, B Fu, Q Meng
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach
B Culbert, B Fu, J Brownlow, C Chu, Q Meng, G Xu
Australasian Database Conference, 123-134, 2018
Cost-Sensitive Churn Prediction in Fund Management Services
J Brownlow, C Chu, B Fu, G Xu, B Culbert, Q Meng
International Conference on Database Systems for Advanced Applications, 776-788, 2018
Constrained nonnegative matrix factorization-based semi-supervised multilabel learning
D Yu, B Fu, G Xu, A Qin
International Journal of Machine Learning and Cybernetics, 1-8, 2018
Combining heterogeneous features for time series prediction
C Chu, J Brownlow, Q Meng, B Fu, B Culbert, M Zhu, G Xu, X He
Behavioral, Economic, Socio-cultural Computing (BESC), 2017 International …, 2017
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