Narges Manouchehri
Orcid: 0000-0002-3011-5162
According to our database1,
Narges Manouchehri
authored at least 38 papers
between 2018 and 2023.
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Bibliography
2023
Sensors, February, 2023
Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications.
Proceedings of the IEEE International Conference on Industrial Technology, 2023
Proceedings of the Artificial Intelligence and Soft Computing, 2023
A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection.
Proceedings of the 9th International Conference on Control, 2023
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023
2022
Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling.
Comput. Intell., December, 2022
Expectation propagation learning of finite multivariate Beta mixture models and applications.
Neural Comput. Appl., 2022
A Non-parametric Bayesian Learning Model Using Accelerated Variational Inference on Multivariate Beta Mixture Models for Medical Applications.
Int. J. Semantic Comput., 2022
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
Multivariate Beta Dirichlet Process-based Hidden Markov Models Applied to Medical Applications.
Proceedings of the IEEE International Conference on Industrial Technology, 2022
A Flexible and Hybrid Feature Mapping Technique Based on multivariate Beta Distribution Kernel Applied to Medical Applications.
Proceedings of the IEEE International Conference on Industrial Technology, 2022
Proceedings of the IEEE International Conference on Industrial Technology, 2022
Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022
2021
Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications.
Pattern Anal. Appl., 2021
Nonparametric variational learning of multivariate beta mixture models in medical applications.
Int. J. Imaging Syst. Technol., 2021
Online variational inference on finite multivariate Beta mixture models for medical applications.
IET Image Process., 2021
Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting.
Proceedings of the International Symposium on Networks, Computers and Communications, 2021
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis.
Proceedings of the IECON 2021, 2021
Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021
Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021
2020
Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions.
Inf. Syst. Frontiers, 2020
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020
Variational learning of a shifted scaled Dirichlet model with component splitting approach.
Proceedings of the Third International Conference on Artificial Intelligence for Industries, 2020
2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings.
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019
A Probabilistic Approach based on a Finite Mixture Model of Multivariate Beta Distributions.
Proceedings of the 21st International Conference on Enterprise Information Systems, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
2018
Proceedings of the 9th International Symposium on Signal, Image, Video and Communications, 2018