Narges Manouchehri

39 papers B 1C 6Misc 7Journal 8Unranked 17

Year	Rank	Type	Title / Venue / Authors
2024	C	`conf`	A Nonparametric Bayesian Framework for Multivariate Libby-Novick Beta Mixture Models. CoDIT Niloufar Samiee, Narges Manouchehri, Nizar Bouguila
2023	C	`conf`	A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection. CoDIT Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila
2023	—	`conf`	Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture Model. ICAISC (2) Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila
2023	—	`conf`	Finite Libby-Novick Beta Mixture Model: An MML-Based Approach. ACIIDS (1) Niloufar Samiee, Narges Manouchehri, Nizar Bouguila
2023	Misc	`conf`	Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications. SAC Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila
2023	J	`jnl`	Human Activity Recognition with an HMM-Based Generative Model. Sensors Narges Manouchehri, Nizar Bouguila
2023	—	`conf`	Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications. ICIT Niloufar Samiee, Narges Manouchehri, Nizar Bouguila
2023	—	`conf`	Novel Topic Models for Parallel Topics Extraction from Multilingual Text. ACIIDS (2) Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila
2022	—	`conf`	A Flexible and Hybrid Feature Mapping Technique Based on multivariate Beta Distribution Kernel Applied to Medical Applications. ICIT Narges Manouchehri, Nizar Bouguila
2022	—	`conf`	A Hierarchical Pitman-Yor mixture of Scaled Dirichlet Distributions. ISIE Ali Baghdadi, Narges Manouchehri, Nizar Bouguila
2022	J	`jnl`	A Non-parametric Bayesian Learning Model Using Accelerated Variational Inference on Multivariate Beta Mixture Models for Medical Applications. Int. J. Semantic Comput. Narges Manouchehri, Nizar Bouguila
2022	J	`jnl`	Expectation propagation learning of finite multivariate Beta mixture models and applications. Neural Comput. Appl. Narges Manouchehri, Nizar Bouguila, Wentao Fan
2022	—	`conf`	Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection. ICIT Kian Ketabchi, Narges Manouchehri, Nizar Bouguila
2022	J	`jnl`	Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling. Comput. Intell. Ali Baghdadi, Narges Manouchehri, Zachary Patterson, Wentao Fan, Nizar Bouguila
2022	Misc	`conf`	Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications. FLAIRS Narges Manouchehri, Nizar Bouguila
2022	—	`conf`	Multivariate Beta Dirichlet Process-based Hidden Markov Models Applied to Medical Applications. ICIT Narges Manouchehri, Nizar Bouguila
2021	Misc	`conf`	A Hierarchical Nonparametric Bayesian Model Based on Scaled Dirichlet Distribution. IRI Narges Manouchehri, Ali Baghdadi, Nizar Bouguila
2021	Misc	`conf`	A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models. IRI Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila
2021	C	`conf`	Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions. ICMLA Narges Manouchehri, Nizar Bouguila, Wentao Fan
2021	J	`jnl`	Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications. Pattern Anal. Appl. Narges Manouchehri, Nizar Bouguila, Wentao Fan
2021	—	`conf`	Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications. IEA/AIE (1) Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila
2021	B	`conf`	Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model. ACIIDS Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Wentao Fan
2021	Misc	`conf`	Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model. FLAIRS Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Manar Amayri, Wentao Fan
2021	J	`jnl`	Nonparametric variational learning of multivariate beta mixture models in medical applications. Int. J. Imaging Syst. Technol. Narges Manouchehri, Nizar Bouguila, Wentao Fan
2021	—	`conf`	Online Variational Learning of Shifted Scaled Dirichlet Mixture. ISIE Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila
2021	J	`jnl`	Online variational inference on finite multivariate Beta mixture models for medical applications. IET Image Process. Narges Manouchehri, Meeta Kalra, Nizar Bouguila
2021	C	`conf`	Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis. IECON Narges Manouchehri, Nizar Bouguila
2021	C	`conf`	Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting. ISNCC Ahmed Rebei, Oumayma Dalhoumi, Narges Manouchehri, Ali Baghdadi, Manar Amayri, Nizar Bouguila
2020	C	`conf`	Bivariate Beta Regression Model and Its Medical Applications. ISNCC Pantea Koochemeshkian, Narges Manouchehri, Nizar Bouguila
2020	Misc	`conf`	Fully Bayesian Learning of Multivariate Beta Mixture Models. IRI Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila
2020	Misc	`conf`	MCMC-Based Learning of Finite Bivariate Beta Mixture Models. FLAIRS Maryam Rasti, Narges Manouchehri, Nizar Bouguila
2020	J	`jnl`	Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions. Inf. Syst. Frontiers Narges Manouchehri, Hieu Nguyen, Pantea Koochemeshkian, Nizar Bouguila, Wentao Fan
2020	—	`conf`	Variational learning of a shifted scaled Dirichlet model with component splitting approach. AI4I Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila
2019	—	`conf`	A Probabilistic Approach based on a Finite Mixture Model of Multivariate Beta Distributions. ICEIS (1) Narges Manouchehri, Nizar Bouguila
2019	—	`conf`	A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings. ISC2 Hieu Nguyen, Maryam Rahmanpour, Narges Manouchehri, Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2019	—	`conf`	Component Splitting-based Approach for Multivariate Beta Mixture Models Learning. GlobalSIP Narges Manouchehri, Hieu Nguyen, Nizar Bouguila
2019	—	`conf`	Finite Two-Dimensional Beta Mixture Models: Model Selection and Applications. ISIE Narges Manouchehri, Jaspreet Singh Kalsi, Manar Amayri, Nizar Bouguila
2019	—	`conf`	Learning of Multivariate Beta Mixture Models via Entropy-based component splitting. SSCI Narges Manouchehri, Maryam Rahmanpour, Nizar Bouguila, Wentao Fan
2018	—	`conf`	Learning of Finite Two-Dimensional Beta Mixture Models. ISIVC Narges Manouchehri, Nizar Bouguila