Nuha Zamzami
Orcid: 0000-0001-9328-9218
According to our database1,
Nuha Zamzami
authored at least 37 papers
between 2015 and 2024.
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Bibliography
2024
Fuzzy-CNN: Improving personal human identification based on IRIS recognition using LBP features.
J. Inf. Secur. Appl., 2024
2023
J. King Saud Univ. Comput. Inf. Sci., September, 2023
A novel minorization-maximization framework for simultaneous feature selection and clustering of high-dimensional count data.
Pattern Anal. Appl., February, 2023
Proceedings of the IEEE International Conference on Industrial Technology, 2023
2022
Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions.
IEEE Trans. Neural Networks Learn. Syst., 2022
A Fully Bayesian Inference with Gibbs Sampling for Finite and Infinite Discrete Exponential Mixture Models.
Appl. Artif. Intell., 2022
2021
Online mixture-based clustering for high dimensional count data using Neerchal-Morel distribution.
Knowl. Based Syst., 2021
Mixture-based clustering for count data using approximated Fisher Scoring and Minorization-Maximization approaches.
Comput. Intell., 2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021
2020
Probabilistic Modeling for Frequency Vectors Using a Flexible Shifted-Scaled Dirichlet Distribution Prior.
ACM Trans. Knowl. Discov. Data, 2020
High-dimensional count data clustering based on an exponential approximation to the multinomial Beta-Liouville distribution.
Inf. Sci., 2020
Proportional data modeling via selection and estimation of a finite mixture of scaled Dirichlet distributions.
Comput. Intell., 2020
Flexible Distribution-Based Regression Models for Count Data: Application to Medical Diagnosis.
Cybern. Syst., 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
A Hybrid Approach Based on SVM and Bernoulli Mixture Model for Binary Vectors Classification.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020
Recognition of human interactions in feature films based on infinite mixture of EDCM.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020
A Distribution-based Regression for Real-time COVID-19 Cases Detection from Chest X-ray and CT Images.
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
2019
A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation.
Pattern Recognit., 2019
Hybrid generative discriminative approaches based on Multinomial Scaled Dirichlet mixture models.
Appl. Intell., 2019
Model selection and application to high-dimensional count data clustering - via finite EDCM mixture models.
Appl. Intell., 2019
Efficient Computation of Log-likelihood Function in Clustering Overdispersed Count Data Using Multinomial Beta-Liouville Distribution.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
An Accurate Evaluation of MSD Log-likelihood and its Application in Human Action Recognition.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Proceedings of the 6th International Conference on Control, 2019
2018
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018
Predicting Defect-Prone Software Modules Using Shifted-Scaled Dirichlet Distribution.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018
Proceedings of the Advances in Artificial Intelligence, 2018
2017
The impact of individual collaborative activities on knowledge creation and transmission.
Scientometrics, 2017
2015
Evaluating the science-technology interaction in nanotechnology: a simulation-based study.
Proceedings of the 2015 Winter Simulation Conference, 2015