| Fuzziness based semi-supervised learning approach for intrusion detection system RAR Ashfaq, XZ Wang, JZ Huang, H Abbas, YL He Information sciences 378, 484-497, 2017 | 678 | 2017 |
| Fuzziness based sample categorization for classifier performance improvement XZ Wang, RAR Ashfaq, AM Fu Journal of Intelligent & Fuzzy Systems 29 (3), 1185-1196, 2015 | 163 | 2015 |
| Monotonic classification extreme learning machine H Zhu, ECC Tsang, XZ Wang, RAR Ashfaq Neurocomputing 225, 205-213, 2017 | 50 | 2017 |
| Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data YL He, CH Wei, H Long, RAR Ashfaq, JZ Huang Applied soft computing 70, 959-979, 2018 | 41 | 2018 |
| Hyperspectral imaging-based unsupervised adulterated red chili content transformation for classification: Identification of red chili adulterants MH Khan, Z Saleem, M Ahmad, A Sohaib, H Ayaz, M Mazzara, RA Raza Neural Computing and Applications 33 (21), 14507-14521, 2021 | 39 | 2021 |
| Artifacts of different dimension reduction methods on hybrid CNN feature hierarchy for hyperspectral image classification M Ahmad, S Shabbir, RA Raza, M Mazzara, S Distefano, AM Khan Optik 246, 167757, 2021 | 33 | 2021 |
| Multiclass non-randomized spectral–spatial active learning for hyperspectral image classification M Ahmad, M Mazzara, RA Raza, S Distefano, M Asif, MS Sarfraz, ... Applied Sciences 10 (14), 4739, 2020 | 33 | 2020 |
| Toward an efficient fuzziness based instance selection methodology for intrusion detection system RAR Ashfaq, Y He, D Chen International Journal of Machine Learning and Cybernetics 8, 1767-1776, 2017 | 31 | 2017 |
| Hyperspectral image classification: Artifacts of dimension reduction on hybrid CNN M Ahmad, S Shabbir, RA Raza, M Mazzara, S Distefano, AM Khan arXiv preprint arXiv:2101.10532, 2021 | 28 | 2021 |
| Extreme learning machine with fuzzy input and fuzzy output for fuzzy regression H Liu, J Wang, Y He, RAR Ashfaq Neural Computing and Applications 28 (11), 3465-3476, 2017 | 24 | 2017 |
| An initial study on the rank of input matrix for extreme learning machine X Zhao, W Cao, H Zhu, Z Ming, RAR Ashfaq International Journal of Machine Learning and Cybernetics 9, 867-879, 2018 | 17 | 2018 |
| Relationship between factors of quality models and the system development life cycle B Habib, RAR Ashfaq International Journal of Computer Applications 81 (10), 2013 | 13 | 2013 |
| A novel weighted variational model for image denoising MR Islam, C Xu, Y Han, RAR Ashfaq International Journal of Pattern Recognition and Artificial Intelligence 31 …, 2017 | 12 | 2017 |
| Performance analysis of QoS in IoT based cognitive radio Ad Hoc network H Afzal, M Rafiq Mufti, A Raza, A Hassan Concurrency and Computation: Practice and Experience 33 (23), e5853, 2021 | 10 | 2021 |
| Kleptographic attack on elliptic curve based cryptographic protocols A Sajjad, M Afzal, MMW Iqbal, H Abbas, R Latif, RA Raza IEEE Access 8, 139903-139917, 2020 | 10 | 2020 |
| Impact of fuzziness categorization on divide and conquer strategy for instance selection RAR Ashfaq, XZ Wang Journal of Intelligent & Fuzzy Systems 33 (2), 1007-1018, 2017 | 9 | 2017 |
| Impact of Variances of Random Weights and Biases on Extreme Learning Machine. X Tao, X Zhou, YL He, RAR Ashfaq J. Softw. 11 (5), 440-454, 2016 | 9 | 2016 |
| Hyperspectral image classification: Artifacts of dimension reduction on hybrid CNN. arXiv 2021 M Ahmad, S Shabbir, RA Raza, M Mazzara, S Distefano, AM Khan arXiv preprint arXiv:2101.10532, 0 | 8 | |
| Multi Sensor-Based Implicit User Identification MUA M Ahmad, Rana Aamir Raza, Manuel Mazzara, Salvatore Distefano, Ali ... Computers, Materials and Continua 68 (2), 1673-1692, 2021 | 3 | 2021 |
| Forensic artifacts modeling for social media client applications to enhance investigatory learning mechanisms H Abbas, M Yasin, F Ahmed, A Sajid, FA Khan, RAR Ashfaq, NAH Haldar Journal of Intelligent & Fuzzy Systems 31 (5), 2645-2658, 2016 | 3 | 2016 |
