Showing results 1 to 20 of 25
next >
Issue Date | Title | Author(s) |
2021-05 | 2-Entity Random Sample Consensus for Robust Visual Localization: Framework, Methods, and Verifications | Jiao, Y; Wang, Y; Ding, X; Fu, B; Huang, S; Xiong, R |
2019-08 | Bubbles and crises: Replicating the Anundsen et al. (2016) results | Fu, B |
2017-07-01 | Combining heterogeneous features for time series prediction | Chu, C; Brownlow, J; Meng, Q; Fu, B; Culbert, B; Zhu, M; Xu, G; He, X |
2017-06-01 | Constrained NMF-based semi-supervised learning for social media spammer detection | Yu, D; Chen, N; Jiang, F; Fu, B; Qin, A |
2020 | Constrained nonnegative matrix factorization-based semi-supervised multi-label learning | Yu, D; Fu, B; Xu, G; Qin, A |
2018-01-01 | Cost-sensitive churn prediction in fund management services | Brownlow, J; Chu, C; Fu, B; Xu, G; Culbert, B; Meng, Q |
2018-01-01 | Cost-sensitive churn prediction in fund management services | Brownlow, J; Chu, C; Fu, B; Xu, G; Culbert, B; Meng, Q |
2018-05-24 | Cost-sensitive Churn Prediction in Fund Management Services - Industrial Track | Brownlow, J; Chu, C; Fu, B; Xu, G; Culbert, B; Meng, Q |
2015-01-01 | Coupling multiple views of relations for recommendation | Fu, B; Xu, G; Cao, L; Wang, Z; Wu, Z |
2018-01-01 | Customer churn prediction in superannuation: A sequential pattern mining approach | Culbert, B; Fu, B; Brownlow, J; Chu, C; Meng, Q; Xu, G |
2016-01-01 | Deployment of Churn Prediction Model in Financial Services Industry | Chu, C; Xu, G; Brownlow, J; Fu, B |
2017-01-03 | Deployment of churn prediction model in financial services industry | Chu, C; Xu, G; Brownlow, J; Fu, B |
2020-10-24 | Globally optimal consensus maximization for robust visual inertial localization in point and line map | Jiao, Y; Wang, Y; Fu, B; Tan, Q; Chen, L; Wang, M; Huang, S; Xiong, R |
2016-01-01 | Groundwater dependent ecosystems: Classification, identification techniques and threats | Eamus, D; Fu, B; Springer, AE; Stevens, LE |
2013-01-01 | An integrated pruning criterion for ensemble learning based on classification accuracy and diversity | Fu, B; Wang, Z; Pan, R; Xu, G; Dolog, P |
2020 | Is the slope of the Phillips curve time-varying? Evidence from unobserved components models | Fu, B |
2012-05-29 | Learning tree structure of label dependency for multi-label learning | Fu, B; Wang, Z; Pan, R; Xu, G; Dolog, P |
2013-01-01 | Leveraging supervised label dependency propagation for multi-label learning | Fu, B; Xu, G; Wang, Z; Cao, L |
2014-06-01 | Multi-label learning based on iterative label propagation over graph | Fu, B; Wang, Z; Xu, G; Cao, L |
2014-06-01 | Multi-label learning based on iterative label propagation over graph | Fu, B; Wang, Z; Xu, G; Cao, L |