Data mining with computational intelligence L Wang, X Fu Springer Science & Business Media, 2005 | 616 | 2005 |
Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance X Fu, L Wang IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 33 …, 2003 | 348 | 2003 |
Parallel sequential minimal optimization for the training of support vector machines LJ Cao, SS Keerthi, CJ Ong, JQ Zhang, U Periyathamby, XJ Fu, HP Lee IEEE Trans. Neural Networks 17 (4), 1039-1049, 2006 | 235 | 2006 |
Weighted complex network analysis of travel routes on the Singapore public transportation system H Soh, S Lim, T Zhang, X Fu, GKK Lee, TGG Hung, P Di, S Prakasam, ... Physica A: Statistical Mechanics and its Applications 389 (24), 5852-5863, 2010 | 233 | 2010 |
A noisy chaotic neural network for solving combinatorial optimization problems: Stochastic chaotic simulated annealing L Wang, S Li, F Tian, X Fu IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 202 | 2004 |
Traffic pattern mining and forecasting technologies in maritime traffic service networks: A comprehensive survey Z Xiao, X Fu, L Zhang, RSM Goh IEEE Transactions on Intelligent Transportation Systems 21 (5), 1796-1825, 2019 | 148 | 2019 |
A novel ship trajectory reconstruction approach using AIS data L Zhang, Q Meng, Z Xiao, X Fu Ocean Engineering 159, 165-174, 2018 | 131 | 2018 |
Statistical modeling reveals the effect of absolute humidity on dengue in Singapore HY Xu, X Fu, LKH Lee, S Ma, KT Goh, J Wong, MS Habibullah, GKK Lee, ... PLoS neglected tropical diseases 8 (5), e2805, 2014 | 127 | 2014 |
Spatial-temporal potential exposure risk analytics and urban sustainability impacts related to COVID-19 mitigation: A perspective from car mobility behaviour P Jiang, X Fu, Y Van Fan, JJ Klemeš, P Chen, S Ma, W Zhang Journal of cleaner production 279, 123673, 2021 | 123 | 2021 |
Maritime traffic probabilistic forecasting based on vessels’ waterway patterns and motion behaviors Z Xiao, L Ponnambalam, X Fu, W Zhang IEEE Transactions on Intelligent Transportation Systems 18 (11), 3122-3134, 2017 | 97 | 2017 |
Accident analysis model based on Bayesian Network and Evidential Reasoning approach YF Wang, M Xie, KS Chin, XJ Fu Journal of Loss Prevention in the Process Industries 26 (1), 10-21, 2013 | 97 | 2013 |
Extracting the knowledge embedded in support vector machines X Fu, CJ Ong, S Keerthi, GG Hung, L Goh 2004 IEEE international joint conference on neural networks (IEEE Cat. No …, 2004 | 88 | 2004 |
Literature review on emission control-based ship voyage optimization H Yu, Z Fang, X Fu, J Liu, J Chen Transportation Research Part D: Transport and Environment 93, 102768, 2021 | 71 | 2021 |
Epidemic reemergence in adaptive complex networks J Zhou, G Xiao, SA Cheong, X Fu, L Wong, S Ma, TH Cheng Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (3 …, 2012 | 67 | 2012 |
Big data driven vessel trajectory and navigating state prediction with adaptive learning, motion modeling and particle filtering techniques Z Xiao, X Fu, L Zhang, W Zhang, RW Liu, Z Liu, RSM Goh IEEE Transactions on Intelligent Transportation Systems 23 (4), 3696-3709, 2020 | 61 | 2020 |
Rule extraction by genetic algorithms based on a simplified RBF neural network X Fu, L Wang Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No …, 2001 | 61 | 2001 |
Vessel trajectory prediction in maritime transportation: Current approaches and beyond X Zhang, X Fu, Z Xiao, H Xu, Z Qin IEEE Transactions on Intelligent Transportation Systems 23 (11), 19980-19998, 2022 | 57 | 2022 |
A model for integer-valued time series with conditional overdispersion HY Xu, M Xie, TN Goh, X Fu Computational Statistics & Data Analysis 56 (12), 4229-4242, 2012 | 57 | 2012 |
Improving the genetic-algorithm-optimized wavelet neural network for stock market prediction Y Fang, K Fataliyev, L Wang, X Fu, Y Wang 2014 International joint conference on neural networks (IJCNN), 3038-3042, 2014 | 56 | 2014 |
More is not enough: A deeper understanding of the COVID-19 impacts on healthcare, energy and environment is crucial P Jiang, JJ Klemeš, YV Fan, X Fu, YM Bee International Journal of Environmental Research and Public Health 18 (2), 684, 2021 | 53 | 2021 |