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Manouchehri, Narges
42  results:
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1

Finite Multivariate McDonald's Beta Mixture Model Learning ..:

, In: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing,
Forouzanfar, Darya ; Manouchehri, Narges ; Bouguila, Nizar - p. 1143-1150 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

Bayesian Inference in Infinite Multivariate McDonald's Beta..:

, In: Artificial Intelligence and Soft Computing; Lecture Notes in Computer Science,
Forouzanfar, Darya ; Manouchehri, Narges ; Bouguila, Nizar - p. 320-330 , 2023
Link: https://doi.org/10.1007/..
 
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3

Risk-adjusted benchmarking of long-term overall survival in..:

Thurell, Jacob ; Manouchehri, Narges ; Fredriksson, Irma...
The Breast.  70 (2023)  - p. 18-24 , 2023
Link: https://doi.org/10.1016/..
 
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4

Novel Topic Models for Parallel Topics Extraction from Mult..:

, In: Intelligent Information and Database Systems; Lecture Notes in Computer Science,
Maanicshah, Kamal ; Manouchehri, Narges ; Amayri, Manar. - p. 297-309 , 2023
Link: https://doi.org/10.1007/..
 
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5

A Fully Bayesian Inference Approach for Multivariate McDona..:

, In: 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT),
Forouzanfar, Darya ; Manouchehri, Narges ; Bouguila, Nizar - p. 2055-2060 , 2023
Link: https://doi.org/10.1109/..
 
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6

Finite Libby-Novick Beta Mixture Model: An MML-Based Approa..:

, In: Intelligent Information and Database Systems; Lecture Notes in Computer Science,
Samiee, Niloufar ; Manouchehri, Narges ; Bouguila, Nizar - p. 371-383 , 2023
Link: https://doi.org/10.1007/..
 
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7

Human Activity Recognition with an HMM-Based Generative Mod..:

Manouchehri, Narges ; Bouguila, Nizar
Sensors.  23 (2023)  3 - p. 1390 , 2023
Link: https://doi.org/10.3390/..
 
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8

Maximum Likelihood-Based Estimation of Finite Multivariate ..:

, In: 2023 IEEE International Conference on Industrial Technology (ICIT),
Samiee, Niloufar ; Manouchehri, Narges ; Bouguila, Nizar - p. 1-7 , 2023
Link: https://doi.org/10.1109/..
 
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9

Integration of Multivariate Beta-based Hidden Markov Models..:

Manouchehri, Narges ; Bouguila, Nizar
The International FLAIRS Conference Proceedings.  35 (2022)  - p. , 2022
Link: https://doi.org/10.32473..
 
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10

Multivariate Beta Dirichlet Process-based Hidden Markov Mod..:

, In: 2022 IEEE International Conference on Industrial Technology (ICIT),
Manouchehri, Narges ; Bouguila, Nizar - p. 1-6 , 2022
Link: https://doi.org/10.1109/..
 
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11

Expectation propagation learning of finite multivariate Bet..:

Manouchehri, Narges ; Bouguila, Nizar ; Fan, Wentao
Neural Computing and Applications.  34 (2022)  17 - p. 14275-14285 , 2022
Link: https://doi.org/10.1007/..
 
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12

Fully Bayesian Libby-Novick Beta Mixture Model with Feature..:

, In: 2022 IEEE International Conference on Industrial Technology (ICIT),
Ketabchi, Kian ; Manouchehri, Narges ; Bouguila, Nizar - p. 1-6 , 2022
Link: https://doi.org/10.1109/..
 
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13

Hierarchical Dirichlet and Pitman–Yor process mixtures of s..:

Baghdadi, Ali ; Manouchehri, Narges ; Patterson, Zachary..
Computational Intelligence.  38 (2022)  6 - p. 2095-2115 , 2022
Link: https://doi.org/10.1111/..
 
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14

A Flexible and Hybrid Feature Mapping Technique Based on mu..:

, In: 2022 IEEE International Conference on Industrial Technology (ICIT),
Manouchehri, Narges ; Bouguila, Nizar - p. 1-6 , 2022
Link: https://doi.org/10.1109/..
 
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15

Multivariate Beta-Based Hierarchical Dirichlet Process Hidd..:

, In: Unsupervised and Semi-Supervised Learning; Hidden Markov Models and Applications,
Manouchehri, Narges ; Bouguila, Nizar - p. 235-261 , 2022
Link: https://doi.org/10.1007/..
 
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