Recent advances of statistics in computational intelligence (RASCI). - Muhammed J. A. Patwary; James N. K. Liu; Honghua Dai 001 (Int. J. Mach. Learn. Cybern., 2018)

An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW. - Weipeng Cao; Muhammed J. A. Patwary; Pengfei Yang 002; Xizhao Wang; Zhong Ming 001 (IJCNN, 2019)

Impact of Fuzziness Measures on the Performance of Semi-supervised Learning. - Muhammed J. A. Patwary; Xi-Zhao Wang; Dasen Yan (Int. J. Fuzzy Syst., 2019)

Sensitivity analysis on initial classifier accuracy in fuzziness based semi-supervised learning. - Muhammed J. A. Patwary; Xi-Zhao Wang (Inf. Sci., 2019)

An experimental study on symbolic extreme learning machine. - Jinga Liu; Muhammed J. A. Patwary; XiaoYun Sun; Kai Tao (Int. J. Mach. Learn. Cybern., 2019)

A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CRCC). - Sara Karim; Muhammed J. A. Patwary; Mohammad Shahadat Hossain; Karl Andersson 001 (AII, 2022)

Class Imbalance Problems in Machine Learning: A Review of Methods And Future Challenges. - Nazim Uddin Niaz; K. M. Nadim Shahariar; Muhammed J. A. Patwary (ICCA, 2022)

Fuzziness Based Semi-supervised Deep Learning for Multimodal Image Classification. - Abeda Asma; Dilshad Noor Mostafa; Koli Akter; Mufti Mahmud; Muhammed J. A. Patwary (MIET (2), 2022)

Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos. - Muhammed J. A. Patwary; Weipeng Cao; Xi-Zhao Wang; Mohammad Ahsanul Haque (Appl. Soft Comput., 2022)

MFF: Multi-modal feature fusion for zero-shot learning. - Weipeng Cao; Yuhao Wu; Chengchao Huang; Muhammed J. A. Patwary; Xizhao Wang (Neurocomputing, 2022)