Muhammed J. A. Patwary

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 10

Top Topics

Machine Learning

Colorectal Cancer

Supervised Learning

Unlabeled Instances

Top Venues

Int. J. Mach. Learn. Cybern.

Int. J. Fuzzy Syst.

Publications

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 (2022)
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)
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)
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)
Weipeng Cao, Yuhao Wu, Chengchao Huang, Muhammed J. A. Patwary, Xizhao Wang
MFF: Multi-modal feature fusion for zero-shot learning. Neurocomputing 510 (2022)
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) (2019)
Muhammed J. A. Patwary, Xi-Zhao Wang
Sensitivity analysis on initial classifier accuracy in fuzziness based semi-supervised learning. Inf. Sci. 490 (2019)
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) (2019)
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)
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) (2018)