Rana Aamir Raza Ashfaq

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 17

Top Topics

Feed Forward Neural Networks

Gaussian Process

Instance Selection

Top Venues

Neural Comput. Appl.

J. Intell. Fuzzy Syst.

Int. J. Mach. Learn. Cybern.

Publications

Saadia Ajmal, Rana Aamir Raza Ashfaq, Kashif Saleem
Uncertainty Based Optimal Sample Selection for Big Data. IEEE Access 11 (2023)
Yu-Lin He, Chenghao Wei, Hao Long, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang
Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data. Appl. Soft Comput. 70 (2018)
Xiaofang Zhang, Xiaoli Lin, Rana Aamir Raza Ashfaq
Impact of Different Random Initializations on Generalization Performance of Extreme Learning Machine. J. Comput. 13 (7) (2018)
Xingmin Zhao, Weipeng Cao, Hongyu Zhu, Zhong Ming, Rana Aamir Raza Ashfaq
An initial study on the rank of input matrix for extreme learning machine. Int. J. Mach. Learn. Cybern. 9 (5) (2018)
Li-fen Yang, Chong Liu, Hao Long, Rana Aamir Raza Ashfaq, Yu-Lin He
Further improvements on extreme learning machine for interval neural network. Neural Comput. Appl. 29 (8) (2018)
Md. Robiul Islam, Chen Xu, Yu Han, Rana Aamir Raza Ashfaq
A Novel Weighted Variational Model for Image Denoising. Int. J. Pattern Recognit. Artif. Intell. 31 (12) (2017)
Hai-Tao Liu, Jing Wang, Yu-Lin He, Rana Aamir Raza Ashfaq
Extreme learning machine with fuzzy input and fuzzy output for fuzzy regression. Neural Comput. Appl. 28 (11) (2017)
Hong Zhu, Eric C. C. Tsang, Xi-Zhao Wang, Rana Aamir Raza Ashfaq
Monotonic classification extreme learning machine. Neurocomputing 225 (2017)
Rana Aamir Raza Ashfaq, Xi-Zhao Wang
Impact of fuzziness categorization on divide and conquer strategy for instance selection. J. Intell. Fuzzy Syst. 33 (2) (2017)
Jing Zhou, Rui Ying Liu, Xu Zhou, Rana Aamir Raza Ashfaq
Comparative Analysis of Gaussian Process Regression Based Extreme Learning Machine. J. Softw. 12 (4) (2017)
Rana Aamir Raza Ashfaq, Yu-Lin He, De-gang Chen
Toward an efficient fuzziness based instance selection methodology for intrusion detection system. Int. J. Mach. Learn. Cybern. 8 (6) (2017)
Wan-guo Yu, Xu Zhou, Yu-Lin He, Rana Aamir Raza Ashfaq
Comments on "Local coupled extreme learning machine". Neural Comput. Appl. 28 (3) (2017)
Rana Aamir Raza Ashfaq, Xi-Zhao Wang, Joshua Zhexue Huang, Haider Abbas, Yu-Lin He
Fuzziness based semi-supervised learning approach for intrusion detection system. Inf. Sci. 378 (2017)
Xiao Tao, Xu Zhou, Yu-Lin He, Rana Aamir Raza Ashfaq
Impact of Variances of Random Weights and Biases on Extreme Learning Machine. J. Softw. 11 (5) (2016)
Chong Liu, Bing-Qiang Wang, Xiao-Lan Wang, Yu-Lin He, Rana Aamir Raza Ashfaq
An Improved Local Coupled Extreme Learning Machine. J. Softw. 11 (8) (2016)
Haider Abbas, Muhammad Yasin, Fahad Ahmed, Anam Sajid, Farrukh Aslam Khan, Rana Aamir Raza Ashfaq, Nur Al Hasan Haldar
Forensic artifacts modeling for social media client applications to enhance investigatory learning mechanisms. J. Intell. Fuzzy Syst. 31 (5) (2016)
Yu-Lin He, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang, Xizhao Wang
Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification. PAKDD Workshops (2016)
Xi-Zhao Wang, Rana Aamir Raza Ashfaq, Ai-Min Fu
Fuzziness based sample categorization for classifier performance improvement. J. Intell. Fuzzy Syst. 29 (3) (2015)