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ORCIDNarges Manouchehri
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Journal Articles
- 2023
[j8]Narges Manouchehri
, Nizar Bouguila:
Human Activity Recognition with an HMM-Based Generative Model. Sensors 23(3): 1390 (2023)- 2022
- [j7]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): 2095-2115 (2022) - [j6]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): 449-469 (2022) - [j5]Narges Manouchehri, Nizar Bouguila, Wentao Fan:
Expectation propagation learning of finite multivariate Beta mixture models and applications. Neural Comput. Appl. 34(17): 14275-14285 (2022) - 2021
- [j4]Narges Manouchehri, Meeta Kalra, Nizar Bouguila:
Online variational inference on finite multivariate Beta mixture models for medical applications. IET Image Process. 15(9): 1869-1882 (2021) - [j3]Narges Manouchehri, Nizar Bouguila, Wentao Fan:
Nonparametric variational learning of multivariate beta mixture models in medical applications. Int. J. Imaging Syst. Technol. 31(1): 128-140 (2021) - [j2]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): 1731-1744 (2021) - 2020
- [j1]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): 1085-1093 (2020)
Conference and Workshop Papers
- 2024
- [c31]Niloufar Samiee, Narges Manouchehri, Nizar Bouguila:
A Nonparametric Bayesian Framework for Multivariate Libby-Novick Beta Mixture Models. CoDIT 2024: 751-756 - 2023
- [c30]Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila:
Novel Topic Models for Parallel Topics Extraction from Multilingual Text. ACIIDS (2) 2023: 297-309 - [c29]Niloufar Samiee, Narges Manouchehri, Nizar Bouguila:
Finite Libby-Novick Beta Mixture Model: An MML-Based Approach. ACIIDS (1) 2023: 371-383 - [c28]Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila:
A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection. CoDIT 2023: 2055-2060 - [c27]Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila:
Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture Model. ICAISC (2) 2023: 320-330 - [c26]Niloufar Samiee, Narges Manouchehri, Nizar Bouguila:
Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications. ICIT 2023: 1-7 - [c25]Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila:
Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications. SAC 2023: 1143-1150 - 2022
- [c24]Narges Manouchehri, Nizar Bouguila:
Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications. FLAIRS 2022 - [c23]Kian Ketabchi, Narges Manouchehri, Nizar Bouguila:
Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection. ICIT 2022: 1-6 - [c22]Narges Manouchehri, Nizar Bouguila:
A Flexible and Hybrid Feature Mapping Technique Based on multivariate Beta Distribution Kernel Applied to Medical Applications. ICIT 2022: 1-6 - [c21]Narges Manouchehri, Nizar Bouguila:
Multivariate Beta Dirichlet Process-based Hidden Markov Models Applied to Medical Applications. ICIT 2022: 1-6 - [c20]Ali Baghdadi, Narges Manouchehri, Nizar Bouguila:
A Hierarchical Pitman-Yor mixture of Scaled Dirichlet Distributions. ISIE 2022: 168-173 - 2021
- [c19]Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Wentao Fan:
Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model. ACIIDS 2021: 130-143 - [c18]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 2021 - [c17]Narges Manouchehri, Nizar Bouguila, Wentao Fan:
Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions. ICMLA 2021: 298-303 - [c16]Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila:
Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications. IEA/AIE (1) 2021: 285-296 - [c15]Narges Manouchehri, Nizar Bouguila:
Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis. IECON 2021: 1-6 - [c14]Narges Manouchehri, Ali Baghdadi, Nizar Bouguila:
A Hierarchical Nonparametric Bayesian Model Based on Scaled Dirichlet Distribution. IRI 2021: 61-68 - [c13]Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila:
A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models. IRI 2021: 83-90 - [c12]Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila:
Online Variational Learning of Shifted Scaled Dirichlet Mixture. ISIE 2021: 1-6 - [c11]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: 1-6 - 2020
- [c10]Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila:
Variational learning of a shifted scaled Dirichlet model with component splitting approach. AI4I 2020: 75-78 - [c9]Maryam Rasti, Narges Manouchehri, Nizar Bouguila:
MCMC-Based Learning of Finite Bivariate Beta Mixture Models. FLAIRS 2020: 621-625 - [c8]Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila:
Fully Bayesian Learning of Multivariate Beta Mixture Models. IRI 2020: 120-127 - [c7]Pantea Koochemeshkian, Narges Manouchehri, Nizar Bouguila:
Bivariate Beta Regression Model and Its Medical Applications. ISNCC 2020: 1-5 - 2019
- [c6]Narges Manouchehri, Hieu Nguyen, Nizar Bouguila:
Component Splitting-based Approach for Multivariate Beta Mixture Models Learning. GlobalSIP 2019: 1-5 - [c5]Narges Manouchehri, Nizar Bouguila:
A Probabilistic Approach based on a Finite Mixture Model of Multivariate Beta Distributions. ICEIS (1) 2019: 373-380 - [c4]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: 414-419 - [c3]Narges Manouchehri, Jaspreet Singh Kalsi, Manar Amayri, Nizar Bouguila:
Finite Two-Dimensional Beta Mixture Models: Model Selection and Applications. ISIE 2019: 1407-1412 - [c2]Narges Manouchehri, Maryam Rahmanpour, Nizar Bouguila, Wentao Fan:
Learning of Multivariate Beta Mixture Models via Entropy-based component splitting. SSCI 2019: 2825-2832 - 2018
- [c1]Narges Manouchehri, Nizar Bouguila:
Learning of Finite Two-Dimensional Beta Mixture Models. ISIVC 2018: 227-232
Coauthor Index
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