Multi-level features fusion and selection for human gait recognition: an optimized framework of Bayesian model and binomial distribution. - Habiba Arshad; Muhammad Attique Khan; Muhammad Sharif 001; Mussarat Yasmin; Muhammad Younus Javed (Int. J. Mach. Learn. Cybern., 2019)

A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition. - Habiba Arshad; Muhammad Attique Khan; Muhammad Imran Sharif 001; Mussarat Yasmin; João Manuel R. S. Tavares; Yudong Zhang 001; Suresh Chandra Satapathy (Expert Syst. J. Knowl. Eng., 2022)

HGRBOL2: Human gait recognition for biometric application using Bayesian optimization and extreme learning machine. - Muhammad Attique Khan; Habiba Arshad; Wazir Zada Khan; Majed Alhaisoni; Usman Tariq; Hany S. Hussein; Hammam A. Alshazly; Lobna Osman; Ahmed Elashry (Future Gener. Comput. Syst., 2023)