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ORCIDMuhammad Azam 0002
Person information
- affiliation: Concordia University, Montreal, QC, Canada
Other persons with the same name
- Muhammad Azam — disambiguation page
- Muhammad Azam 0001 — University of Veterinary and Animal Sciences, Lahore, Pakistan (and 1 more)
- Muhammad Azam 0003
![[0000-0001-6184-8820]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6184-8820")
— Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan - Muhammad Azam 0004 — BrainBoxAi, Montreal, QC, Canada
- Muhammad Azam 0005 — Government College University Lahore, Pakistan (and 1 more)
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Journal Articles
- 2024
[j11]Ali Algumaei, Muhammad Azam, Nizar Bouguila:
Novel approach for ECG separation using adaptive constrained IVABMGGMM. Digit. Signal Process. 149: 104476 (2024)- [j10]Ons Bouarada, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Hidden Markov models with multivariate bounded asymmetric student's t-mixture model emissions. Pattern Anal. Appl. 27(4): 117 (2024) - [j9]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management. ACM Trans. Intell. Syst. Technol. 15(4): 64:1-64:26 (2024) - 2023
- [j8]Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila:
ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models. Eng. Appl. Artif. Intell. 123(Part B): 106345 (2023) - [j7]Ali Algumaei, Muhammad Azam, Fatma Najar, Nizar Bouguila:
Bounded multivariate generalized Gaussian mixture model using ICA and IVA. Pattern Anal. Appl. 26(3): 1223-1252 (2023) - [j6]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency. Sensors 23(19): 8296 (2023) - 2022
- [j5]Muhammad Azam, Nizar Bouguila:
Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length. Expert Syst. Appl. 204: 117516 (2022) - [j4]Ravi Teja Vemuri, Muhammad Azam, Nizar Bouguila, Zachary Patterson:
A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning. Neural Comput. Appl. 34(17): 14123-14134 (2022) - 2021
- [j3]Muhammad Azam, Nizar Bouguila:
Multivariate-bounded Gaussian mixture model with minimum message length criterion for model selection. Expert Syst. J. Knowl. Eng. 38(5) (2021) - 2020
- [j2]Muhammad Azam, Nizar Bouguila:
Multivariate bounded support Laplace mixture model. Soft Comput. 24(17): 13239-13268 (2020) - 2019
- [j1]Muhammad Azam, Nizar Bouguila:
Bounded Generalized Gaussian Mixture Model with ICA. Neural Process. Lett. 49(3): 1299-1320 (2019)
Conference and Workshop Papers
- 2024
- [c21]Ali Algumaei, Muhammad Azam, Nizar Bouguila:
Mental Disorder Detection using Non-Orthogonal Adaptive Constrained IVABMGGMM. ATSIP 2024: 65-70 - [c20]Tsega Weldu Araya, Muhammad Azam, Nizar Bouguila, Jamal Bentahar:
Multivariate Bounded Support Kotz Mixture Model with Minimum Message Length Criterion. ISNCC 2024: 1-6 - 2023
- [c19]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM. ACIIDS (Companion) 2023: 145-156 - [c18]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support. SMC 2023: 3446-3451 - [c17]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Explainable Robust Smart Meter Data Clustering for Improved Energy Management. SMC 2023: 5194-5199 - [c16]Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Adaptive Constrained ICAMGGMM: An Improvement Over ICA. SNAMS 2023: 1-7 - 2022
- [c15]Ravi Teja Vemuri, Muhammad Azam, Nizar Bouguila, Zachary Patterson:
Bayesian Model and Feature Selection in Asymmetric Generalized Gaussian Mixtures. ICIT 2022: 1-6 - 2021
- [c14]Zixiang Xian, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model. EUSIPCO 2021: 1436-1440 - [c13]Muhammad Azam, Jai Puneet Singh, Nizar Bouguila:
Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field. ICIT 2021: 936-941 - [c12]Zixiang Xian, Muhammad Azam, Nizar Bouguila:
Statistical Modeling Using Bounded Asymmetric Gaussian Mixtures: Application to Human Action and Gender Recognition. IRI 2021: 41-48 - 2019
- [c11]Hieu Nguyen, Kamal Maanicshah, Muhammad Azam, Nizar Bouguila:
Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting. ICIAR (2) 2019: 117-128 - [c10]Muhammad Azam, Nizar Bouguila:
Texture Image Categorization in Wavelet Domain via Naive Bayes Classifier Based on Laplace and Generalized Gaussian Distribution. IRI 2019: 143-150 - [c9]Hieu Nguyen, Meeta Kalra, Muhammad Azam, Nizar Bouguila:
Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models. IRI 2019: 267-274 - [c8]Hieu Nguyen, Muhammad Azam, Nizar Bouguila:
Data Clustering using Variational Learning of Finite Scaled Dirichlet Mixture Models. ISIE 2019: 1391-1396 - 2018
- [c7]Sami Bourouis, Nizar Bouguila, Yexing Li, Muhammad Azam:
Visual Scene Reconstruction Using a Bayesian Learning Framework. ICISP 2018: 225-232 - [c6]Muhammad Azam, Nizar Bouguila:
Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval. ICMLA 2018: 558-563 - [c5]Muhammad Azam, Nizar Bouguila:
Speaker Verification Using Adapted Bounded Gaussian Mixture Model. IRI 2018: 300-307 - [c4]Omar Graja, Muhammad Azam, Nizar Bouguila:
Breast Cancer Diagnosis using Quality Control Charts and Logistic Regression. ISIVC 2018: 215-220 - [c3]Muhammad Azam, Nizar Bouguila:
Blind Source Separation as Pre-processing to Unsupervised Keyword Spotting via an ICA Mixture Model. MWSCAS 2018: 833-836 - 2016
- [c2]Muhammad Azam, Nizar Bouguila:
Speaker Classification via Supervised Hierarchical Clustering Using ICA Mixture Model. ICISP 2016: 193-202 - 2015
- [c1]Muhammad Azam, Nizar Bouguila:
Unsupervised keyword spotting using bounded generalized Gaussian mixture model with ICA. GlobalSIP 2015: 1150-1154
Coauthor Index
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