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Ai-Min Fu
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2020 – today
- 2022
- [j6]Ai-Min Fu, Jingna Liu, Tian-Lun Zhang:
Self-stacking random weight neural network with multi-layer features fusion. Int. J. Mach. Learn. Cybern. 13(7): 1945-1957 (2022) - 2021
- [j5]Hong Zhu, Han Liu, Ai-Min Fu:
Class-weighted neural network for monotonic imbalanced classification. Int. J. Mach. Learn. Cybern. 12(4): 1191-1201 (2021)
2010 – 2019
- 2015
- [j4]Xi-Zhao Wang, Rana Aamir Raza Ashfaq, Ai-Min Fu:
Fuzziness based sample categorization for classifier performance improvement. J. Intell. Fuzzy Syst. 29(3): 1185-1196 (2015) - [j3]Juan Geng, Lai-Sheng Wang, Ai-Min Fu:
A majorization-minimization weighted soft thresholding algorithm for weighted nuclear norm minimization. Int. J. Mach. Learn. Cybern. 6(1): 59-68 (2015) - [j2]Ai-Min Fu, Chunru Dong, Lai-Sheng Wang:
An experimental study on stability and generalization of extreme learning machines. Int. J. Mach. Learn. Cybern. 6(1): 129-135 (2015) - 2014
- [j1]Ai-Min Fu, Xi-Zhao Wang, Yu-Lin He, Lai-Sheng Wang:
A study on residence error of training an extreme learning machine and its application to evolutionary algorithms. Neurocomputing 146: 75-82 (2014) - 2012
- [c1]Juan Geng, Lai-Sheng Wang, Ai-Min Fu, Qi-Qing Song:
A smoothed rank function algorithm based Hyperbolic Tangent function for matrix completion. ICMLC 2012: 1333-1338
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