Learning of Finite Two-Dimensional Beta Mixture Models. - Narges Manouchehri; Nizar Bouguila (ISIVC, 2018)

Component Splitting-based Approach for Multivariate Beta Mixture Models Learning. - Narges Manouchehri; Hieu Nguyen; Nizar Bouguila (GlobalSIP, 2019)

A Probabilistic Approach based on a Finite Mixture Model of Multivariate Beta Distributions. - Narges Manouchehri; Nizar Bouguila (ICEIS (1), 2019)

A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings. - Hieu Nguyen; Maryam Rahmanpour; Narges Manouchehri; Kamal Maanicshah; Manar Amayri; Nizar Bouguila (ISC2, 2019)

Finite Two-Dimensional Beta Mixture Models: Model Selection and Applications. - Narges Manouchehri; Jaspreet Singh Kalsi; Manar Amayri; Nizar Bouguila (ISIE, 2019)

Learning of Multivariate Beta Mixture Models via Entropy-based component splitting. - Narges Manouchehri; Maryam Rahmanpour; Nizar Bouguila; Wentao Fan (SSCI, 2019)

Variational learning of a shifted scaled Dirichlet model with component splitting approach. - Narges Manouchehri; Oumayma Dalhoumi; Manar Amayri; Nizar Bouguila (AI4I, 2020)

MCMC-Based Learning of Finite Bivariate Beta Mixture Models. - Maryam Rasti; Narges Manouchehri; Nizar Bouguila (FLAIRS, 2020)

Fully Bayesian Learning of Multivariate Beta Mixture Models. - Mahsa Amirkhani; Narges Manouchehri; Nizar Bouguila (IRI, 2020)

Bivariate Beta Regression Model and Its Medical Applications. - Pantea Koochemeshkian; Narges Manouchehri; Nizar Bouguila (ISNCC, 2020)

Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions. - Narges Manouchehri; Hieu Nguyen; Pantea Koochemeshkian; Nizar Bouguila; Wentao Fan (Inf. Syst. Frontiers, 2020)

Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model. - Mohammad Sadegh Ahmadzadeh; Narges Manouchehri; Hafsa Ennajari; Nizar Bouguila; Wentao Fan (ACIIDS, 2021)

Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model. - Mohammad Sadegh Ahmadzadeh; Narges Manouchehri; Hafsa Ennajari; Nizar Bouguila; Manar Amayri; Wentao Fan (FLAIRS, 2021)

Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions. - Narges Manouchehri; Nizar Bouguila; Wentao Fan (ICMLA, 2021)

Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications. - Mahsa Amirkhani; Narges Manouchehri; Nizar Bouguila (IEA/AIE (1), 2021)

Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis. - Narges Manouchehri; Nizar Bouguila (IECON, 2021)

A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models. - Mahsa Amirkhani; Narges Manouchehri; Nizar Bouguila (IRI, 2021)

A Hierarchical Nonparametric Bayesian Model Based on Scaled Dirichlet Distribution. - Narges Manouchehri; Ali Baghdadi; Nizar Bouguila (IRI, 2021)

Online Variational Learning of Shifted Scaled Dirichlet Mixture. - Narges Manouchehri; Oumayma Dalhoumi; Manar Amayri; Nizar Bouguila (ISIE, 2021)

Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting. - Ahmed Rebei; Oumayma Dalhoumi; Narges Manouchehri; Ali Baghdadi; Manar Amayri; Nizar Bouguila (ISNCC, 2021)

Online variational inference on finite multivariate Beta mixture models for medical applications. - Narges Manouchehri; Meeta Kalra; Nizar Bouguila (IET Image Process., 2021)

Nonparametric variational learning of multivariate beta mixture models in medical applications. - Narges Manouchehri; Nizar Bouguila; Wentao Fan (Int. J. Imaging Syst. Technol., 2021)

Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications. - Narges Manouchehri; Nizar Bouguila; Wentao Fan (Pattern Anal. Appl., 2021)

Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications. - Narges Manouchehri; Nizar Bouguila (FLAIRS, 2022)

Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection. - Kian Ketabchi; Narges Manouchehri; Nizar Bouguila (ICIT, 2022)

A Flexible and Hybrid Feature Mapping Technique Based on multivariate Beta Distribution Kernel Applied to Medical Applications. - Narges Manouchehri; Nizar Bouguila (ICIT, 2022)

Multivariate Beta Dirichlet Process-based Hidden Markov Models Applied to Medical Applications. - Narges Manouchehri; Nizar Bouguila (ICIT, 2022)

A Hierarchical Pitman-Yor mixture of Scaled Dirichlet Distributions. - Ali Baghdadi; Narges Manouchehri; Nizar Bouguila (ISIE, 2022)

A Non-parametric Bayesian Learning Model Using Accelerated Variational Inference on Multivariate Beta Mixture Models for Medical Applications. - Narges Manouchehri; Nizar Bouguila (Int. J. Semantic Comput., 2022)

Expectation propagation learning of finite multivariate Beta mixture models and applications. - Narges Manouchehri; Nizar Bouguila; Wentao Fan (Neural Comput. Appl., 2022)

Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling. - Ali Baghdadi; Narges Manouchehri; Zachary Patterson; Wentao Fan; Nizar Bouguila (Comput. Intell., 2022)

Novel Topic Models for Parallel Topics Extraction from Multilingual Text. - Kamal Maanicshah; Narges Manouchehri; Manar Amayri; Nizar Bouguila (ACIIDS (2), 2023)

Finite Libby-Novick Beta Mixture Model: An MML-Based Approach. - Niloufar Samiee; Narges Manouchehri; Nizar Bouguila (ACIIDS (1), 2023)

A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection. - Darya Forouzanfar; Narges Manouchehri; Nizar Bouguila (CoDIT, 2023)

Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture Model. - Darya Forouzanfar; Narges Manouchehri; Nizar Bouguila (ICAISC (2), 2023)

Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications. - Niloufar Samiee; Narges Manouchehri; Nizar Bouguila (ICIT, 2023)

Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications. - Darya Forouzanfar; Narges Manouchehri; Nizar Bouguila (SAC, 2023)

Human Activity Recognition with an HMM-Based Generative Model. - Narges Manouchehri; Nizar Bouguila (Sensors, 2023)

A Nonparametric Bayesian Framework for Multivariate Libby-Novick Beta Mixture Models. - Niloufar Samiee; Narges Manouchehri; Nizar Bouguila (CoDIT, 2024)