Muhammad Azam

Orcid: 0000-0003-1904-7338

Affiliations:
  • Concordia University, Montreal, QC, Canada


According to our database1, Muhammad Azam authored at least 32 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Hidden Markov models with multivariate bounded asymmetric student's t-mixture model emissions.
Pattern Anal. Appl., December, 2024

Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management.
ACM Trans. Intell. Syst. Technol., August, 2024

Novel approach for ECG separation using adaptive constrained IVABMGGMM.
Digit. Signal Process., 2024

Multivariate Bounded Support Kotz Mixture Model with Minimum Message Length Criterion.
Proceedings of the International Symposium on Networks, Computers and Communications, 2024

Mental Disorder Detection using Non-Orthogonal Adaptive Constrained IVABMGGMM.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2023
Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency.
Sensors, October, 2023

Bounded multivariate generalized Gaussian mixture model using ICA and IVA.
Pattern Anal. Appl., August, 2023

ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models.
Eng. Appl. Artif. Intell., 2023

Adaptive Constrained ICAMGGMM: An Improvement Over ICA.
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023

Explainable Robust Smart Meter Data Clustering for Improved Energy Management.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

2022
A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning.
Neural Comput. Appl., 2022

Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length.
Expert Syst. Appl., 2022

Bayesian Model and Feature Selection in Asymmetric Generalized Gaussian Mixtures.
Proceedings of the IEEE International Conference on Industrial Technology, 2022

2021
Multivariate-bounded Gaussian mixture model with minimum message length criterion for model selection.
Expert Syst. J. Knowl. Eng., 2021

Statistical Modeling Using Bounded Asymmetric Gaussian Mixtures: Application to Human Action and Gender Recognition.
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Multivariate bounded support Laplace mixture model.
Soft Comput., 2020

2019
Bounded Generalized Gaussian Mixture Model with ICA.
Neural Process. Lett., 2019

Data Clustering using Variational Learning of Finite Scaled Dirichlet Mixture Models.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

Texture Image Categorization in Wavelet Domain via Naive Bayes Classifier Based on Laplace and Generalized Gaussian Distribution.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

2018
Blind Source Separation as Pre-processing to Unsupervised Keyword Spotting via an ICA Mixture Model.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

Breast Cancer Diagnosis using Quality Control Charts and Logistic Regression.
Proceedings of the 9th International Symposium on Signal, Image, Video and Communications, 2018

Speaker Verification Using Adapted Bounded Gaussian Mixture Model.
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Visual Scene Reconstruction Using a Bayesian Learning Framework.
Proceedings of the Image and Signal Processing - 8th International Conference, 2018

2016
Speaker Classification via Supervised Hierarchical Clustering Using ICA Mixture Model.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016

2015
Unsupervised keyword spotting using bounded generalized Gaussian mixture model with ICA.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015


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