A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection. - Mohamed Al Mashrgy; Nizar Bouguila; Khalid Daoudi (ICONIP (2), 2011)

A statistical framework for positive data clustering with feature selection: Application to object detection. - Mohamed Al Mashrgy; Nizar Bouguila; Khalid Daoudi (EUSIPCO, 2013)

An Infinite Mixture Model of Generalized Inverted Dirichlet Distributions for High-Dimensional Positive Data Modeling. - Nizar Bouguila; Mohamed Al Mashrgy (ICT-EurAsia, 2014)

Bayesian learning of finite generalized inverted Dirichlet mixtures: Application to object classification and forgery detection. - Sami Bourouis; Mohamed Al Mashrgy; Nizar Bouguila (Expert Syst. Appl., 2014)

Robust simultaneous positive data clustering and unsupervised feature selection using generalized inverted Dirichlet mixture models. - Mohamed Al Mashrgy; Taoufik Bdiri; Nizar Bouguila (Knowl. Based Syst., 2014)

A Fully Bayesian Framework for Positive Data Clustering. - Mohamed Al Mashrgy; Nizar Bouguila (Artificial Intelligence Applications in Information and Communication Technologies, 2015)

Video Forgery Detection Using a Bayesian RJMCMC-Based Approach. - Sami Bourouis; Faisal R. Al-Osaimi; Nizar Bouguila; Hassen Sallay; Fahd M. Aldosari; Mohamed Al Mashrgy (AICCSA, 2017)

Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures. - Sami Bourouis; Faisal R. Al-Osaimi; Nizar Bouguila; Hassen Sallay; Fahd M. Aldosari; Mohamed Al Mashrgy (Soft Comput., 2019)