Unsupervised keyword spotting using bounded generalized Gaussian mixture model with ICA. - Muhammad Azam 002; Nizar Bouguila (GlobalSIP, 2015)

Speaker Classification via Supervised Hierarchical Clustering Using ICA Mixture Model. - Muhammad Azam 002; Nizar Bouguila (ICISP, 2016)

Visual Scene Reconstruction Using a Bayesian Learning Framework. - Sami Bourouis; Nizar Bouguila; Yexing Li; Muhammad Azam 002 (ICISP, 2018)

Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval. - Muhammad Azam 002; Nizar Bouguila (ICMLA, 2018)

Speaker Verification Using Adapted Bounded Gaussian Mixture Model. - Muhammad Azam 002; Nizar Bouguila (IRI, 2018)

Breast Cancer Diagnosis using Quality Control Charts and Logistic Regression. - Omar Graja; Muhammad Azam 002; Nizar Bouguila (ISIVC, 2018)

Blind Source Separation as Pre-processing to Unsupervised Keyword Spotting via an ICA Mixture Model. - Muhammad Azam 002; Nizar Bouguila (MWSCAS, 2018)

Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting. - Hieu Nguyen; Kamal Maanicshah; Muhammad Azam 002; Nizar Bouguila (ICIAR (2), 2019)

Texture Image Categorization in Wavelet Domain via Naive Bayes Classifier Based on Laplace and Generalized Gaussian Distribution. - Muhammad Azam 002; Nizar Bouguila (IRI, 2019)

Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models. - Hieu Nguyen; Meeta Kalra; Muhammad Azam 002; Nizar Bouguila (IRI, 2019)

Data Clustering using Variational Learning of Finite Scaled Dirichlet Mixture Models. - Hieu Nguyen; Muhammad Azam 002; Nizar Bouguila (ISIE, 2019)

Bounded Generalized Gaussian Mixture Model with ICA. - Muhammad Azam 002; Nizar Bouguila (Neural Process. Lett., 2019)

Multivariate bounded support Laplace mixture model. - Muhammad Azam 002; Nizar Bouguila (Soft Comput., 2020)

Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model. - Zixiang Xian; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (EUSIPCO, 2021)

Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field. - Muhammad Azam 002; Jai Puneet Singh; Nizar Bouguila (ICIT, 2021)

Statistical Modeling Using Bounded Asymmetric Gaussian Mixtures: Application to Human Action and Gender Recognition. - Zixiang Xian; Muhammad Azam 002; Nizar Bouguila (IRI, 2021)

Multivariate-bounded Gaussian mixture model with minimum message length criterion for model selection. - Muhammad Azam 002; Nizar Bouguila (Expert Syst. J. Knowl. Eng., 2021)

Bayesian Model and Feature Selection in Asymmetric Generalized Gaussian Mixtures. - Ravi Teja Vemuri; Muhammad Azam 002; Nizar Bouguila; Zachary Patterson (ICIT, 2022)

Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length. - Muhammad Azam 002; Nizar Bouguila (Expert Syst. Appl., 2022)

A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning. - Ravi Teja Vemuri; Muhammad Azam 002; Nizar Bouguila; Zachary Patterson (Neural Comput. Appl., 2022)

Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM. - Hussein Al-Bazzaz; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (ACIIDS (Companion), 2023)

Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support. - Hussein Al-Bazzaz; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (SMC, 2023)

Explainable Robust Smart Meter Data Clustering for Improved Energy Management. - Hussein Al-Bazzaz; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (SMC, 2023)

Adaptive Constrained ICAMGGMM: An Improvement Over ICA. - Ali Algumaei; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (SNAMS, 2023)

ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models. - Ali Algumaei; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (Eng. Appl. Artif. Intell., 2023)

Bounded multivariate generalized Gaussian mixture model using ICA and IVA. - Ali Algumaei; Muhammad Azam 002; Fatma Najar; Nizar Bouguila (Pattern Anal. Appl., 2023)

Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency. - Hussein Al-Bazzaz; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (Sensors, 2023)

Mental Disorder Detection using Non-Orthogonal Adaptive Constrained IVABMGGMM. - Ali Algumaei; Muhammad Azam 002; Nizar Bouguila (ATSIP, 2024)

Adaptive Constrained ICABMGGMM: Application to ECG Blind Source Separation. - Ali Algumaei; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (ICONIP (5), 2024)

Multivariate Bounded Support Kotz Mixture Model with Minimum Message Length Criterion. - Tsega Weldu Araya; Muhammad Azam 002; Nizar Bouguila; Jamal Bentahar (ISNCC, 2024)

Novel approach for ECG separation using adaptive constrained IVABMGGMM. - Ali Algumaei; Muhammad Azam 002; Nizar Bouguila (Digit. Signal Process., 2024)

Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management. - Hussein Al-Bazzaz; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (ACM Trans. Intell. Syst. Technol., 2024)

Hidden Markov models with multivariate bounded asymmetric student's t-mixture model emissions. - Ons Bouarada; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (Pattern Anal. Appl., 2024)

Multivariate bounded support Kotz mixture model with semi-supervised projected model-based clustering. - Tsega Weldu Araya; Muhammad Azam 002; Nizar Bouguila; Jamal Bentahar (Inf. Fusion, 2025)

Adaptive Constrained IVAMGGMM: Application to Mental Disorders Detection. - Ali Algumaei; Muhammad Azam 002; Nizar Bouguila (IEEE Trans. Emerg. Top. Comput. Intell., 2025)