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2020 – today
- 2022
[j6]Muhammed J. A. Patwary
, Weipeng Cao, Xi-Zhao Wang, Mohammad Ahsanul Haque:
Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos. Appl. Soft Comput. 120: 108655 (2022)- [j5]Weipeng Cao, Yuhao Wu, Chengchao Huang, Muhammed J. A. Patwary, Xizhao Wang:
MFF: Multi-modal feature fusion for zero-shot learning. Neurocomputing 510: 172-180 (2022) - [c4]Sara Karim, Muhammed J. A. Patwary, Mohammad Shahadat Hossain, Karl Andersson:
A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CRCC). AII 2022: 174-185 - [c3]Nazim Uddin Niaz, K. M. Nadim Shahariar, Muhammed J. A. Patwary:
Class Imbalance Problems in Machine Learning: A Review of Methods And Future Challenges. ICCA 2022: 485-490 - [c2]Abeda Asma, Dilshad Noor Mostafa, Koli Akter, Mufti Mahmud, Muhammed J. A. Patwary:
Fuzziness Based Semi-supervised Deep Learning for Multimodal Image Classification. MIET (2) 2022: 91-105
2010 – 2019
- 2019
- [j4]Muhammed J. A. Patwary, Xi-Zhao Wang, Dasen Yan:
Impact of Fuzziness Measures on the Performance of Semi-supervised Learning. Int. J. Fuzzy Syst. 21(5): 1430-1442 (2019) - [j3]Muhammed J. A. Patwary, Xi-Zhao Wang:
Sensitivity analysis on initial classifier accuracy in fuzziness based semi-supervised learning. Inf. Sci. 490: 93-112 (2019) - [j2]Jinga Liu, Muhammed J. A. Patwary, XiaoYun Sun, Kai Tao:
An experimental study on symbolic extreme learning machine. Int. J. Mach. Learn. Cybern. 10(4): 787-797 (2019) - [c1]Weipeng Cao, Muhammed J. A. Patwary, Pengfei Yang, Xizhao Wang, Zhong Ming:
An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW. IJCNN 2019: 1-8 - 2018
- [j1]Muhammed J. A. Patwary, James N. K. Liu, Honghua Dai:
Recent advances of statistics in computational intelligence (RASCI). Int. J. Mach. Learn. Cybern. 9(1): 1-3 (2018)
Coauthor Index
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