Narges Manouchehri

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 38

Top Topics

Dirichlet Distribution

Top Venues

Publications

Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila
Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications. SAC (2023)
Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila
A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection. CoDIT (2023)
Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila
Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture Model. ICAISC (2) (2023)
Niloufar Samiee, Narges Manouchehri, Nizar Bouguila
Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications. ICIT (2023)
Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila
Novel Topic Models for Parallel Topics Extraction from Multilingual Text. ACIIDS (2) (2023)
Narges Manouchehri, Nizar Bouguila
Human Activity Recognition with an HMM-Based Generative Model. Sensors 23 (3) (2023)
Niloufar Samiee, Narges Manouchehri, Nizar Bouguila
Finite Libby-Novick Beta Mixture Model: An MML-Based Approach. ACIIDS (1) (2023)
Narges Manouchehri, Nizar Bouguila
Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications. FLAIRS (2022)
Narges Manouchehri, Nizar Bouguila, Wentao Fan
Expectation propagation learning of finite multivariate Beta mixture models and applications. Neural Comput. Appl. 34 (17) (2022)
Ali Baghdadi, Narges Manouchehri, Nizar Bouguila
A Hierarchical Pitman-Yor mixture of Scaled Dirichlet Distributions. ISIE (2022)
Kian Ketabchi, Narges Manouchehri, Nizar Bouguila
Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection. ICIT (2022)
Narges Manouchehri, Nizar Bouguila
Multivariate Beta Dirichlet Process-based Hidden Markov Models Applied to Medical Applications. ICIT (2022)
Ali Baghdadi, Narges Manouchehri, Zachary Patterson, Wentao Fan, Nizar Bouguila
Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling. Comput. Intell. 38 (6) (2022)
Narges Manouchehri, Nizar Bouguila
A Non-parametric Bayesian Learning Model Using Accelerated Variational Inference on Multivariate Beta Mixture Models for Medical Applications. Int. J. Semantic Comput. 16 (3) (2022)
Narges Manouchehri, Nizar Bouguila
A Flexible and Hybrid Feature Mapping Technique Based on multivariate Beta Distribution Kernel Applied to Medical Applications. ICIT (2022)
Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila
A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models. IRI (2021)
Narges Manouchehri, Nizar Bouguila
Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis. IECON (2021)
Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila
Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications. IEA/AIE (1) (2021)
Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Manar Amayri, Wentao Fan
Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model. FLAIRS Conference (2021)
Narges Manouchehri, Ali Baghdadi, Nizar Bouguila
A Hierarchical Nonparametric Bayesian Model Based on Scaled Dirichlet Distribution. IRI (2021)
Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila
Online Variational Learning of Shifted Scaled Dirichlet Mixture. ISIE (2021)
Narges Manouchehri, Meeta Kalra, Nizar Bouguila
Online variational inference on finite multivariate Beta mixture models for medical applications. IET Image Process. 15 (9) (2021)
Narges Manouchehri, Nizar Bouguila, Wentao Fan
Nonparametric variational learning of multivariate beta mixture models in medical applications. Int. J. Imaging Syst. Technol. 31 (1) (2021)
Narges Manouchehri, Nizar Bouguila, Wentao Fan
Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions. ICMLA (2021)
Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Wentao Fan
Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model. ACIIDS (2021)
Ahmed Rebei, Oumayma Dalhoumi, Narges Manouchehri, Ali Baghdadi, Manar Amayri, Nizar Bouguila
Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting. ISNCC (2021)
Narges Manouchehri, Nizar Bouguila, Wentao Fan
Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications. Pattern Anal. Appl. 24 (4) (2021)
Maryam Rasti, Narges Manouchehri, Nizar Bouguila
MCMC-Based Learning of Finite Bivariate Beta Mixture Models. FLAIRS Conference (2020)
Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila
Variational learning of a shifted scaled Dirichlet model with component splitting approach. AI4I (2020)
Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila
Fully Bayesian Learning of Multivariate Beta Mixture Models. IRI (2020)
Narges Manouchehri, Hieu Nguyen, Pantea Koochemeshkian, Nizar Bouguila, Wentao Fan
Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions. Inf. Syst. Frontiers 22 (5) (2020)
Pantea Koochemeshkian, Narges Manouchehri, Nizar Bouguila
Bivariate Beta Regression Model and Its Medical Applications. ISNCC (2020)
Hieu Nguyen, Maryam Rahmanpour, Narges Manouchehri, Kamal Maanicshah, Manar Amayri, Nizar Bouguila
A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings. ISC2 (2019)
Narges Manouchehri, Jaspreet Singh Kalsi, Manar Amayri, Nizar Bouguila
Finite Two-Dimensional Beta Mixture Models: Model Selection and Applications. ISIE (2019)
Narges Manouchehri, Hieu Nguyen, Nizar Bouguila
Component Splitting-based Approach for Multivariate Beta Mixture Models Learning. GlobalSIP (2019)
Narges Manouchehri, Maryam Rahmanpour, Nizar Bouguila, Wentao Fan
Learning of Multivariate Beta Mixture Models via Entropy-based component splitting. SSCI (2019)
Narges Manouchehri, Nizar Bouguila
A Probabilistic Approach based on a Finite Mixture Model of Multivariate Beta Distributions. ICEIS (1) (2019)
Narges Manouchehri, Nizar Bouguila
Learning of Finite Two-Dimensional Beta Mixture Models. ISIVC (2018)