Bin Fu
Bin Fu
Verified email at student.uts.edu.au
Title
Cited by
Cited by
Year
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
502017
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
352012
Point-of-interest recommendations via a supervised random walk algorithm
G Xu, B Fu, Y Gu
IEEE intelligent systems 31 (1), 15-23, 2016
242016
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
212013
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
142014
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
92012
Deployment of churn prediction model in financial services industry
C Chu, G Xu, J Brownlow, B Fu
2016 International Conference on Behavioral, Economic and Socio-cultural …, 2016
82016
Leveraging supervised label dependency propagation for multi-label learning
B Fu, G Xu, Z Wang, L Cao
2013 IEEE 13th International Conference on Data Mining, 1061-1066, 2013
82013
Constrained nonnegative matrix factorization-based semi-supervised multilabel learning
D Yu, B Fu, G Xu, A Qin
International Journal of Machine Learning and Cybernetics 10 (5), 1093-1100, 2019
62019
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
42015
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
32018
Dynamic Assignment of Base Classifier's Weight in Boosting Method [J]
B FU, Z WANG, Z WANG
Journal of Guangxi Normal University (Natural Science Edition) 3, 2009
22009
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
12018
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
12018
Combining heterogeneous features for time series prediction
C Chu, J Brownlow, Q Meng, B Fu, B Culbert, M Zhu, G Xu, X He
2017 International Conference on Behavioral, Economic, Socio-cultural …, 2017
12017
Algorithm of classifier selection for maximizing the margin
B Fu, Z Wang, Z Wang
Jisuanji Kexue yu Tansuo 5 (1), 59-67, 2011
12011
Learning label dependency for multi-label classification
B Fu
2018
ARC Centre of Excellence in Population Ageing Research Industry Report 2019/2
H Bateman, J Brownlow, B Culbert, C Chu, C Eckert, B Fu, S Thorp
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Articles 1–18