Nuha Zamzami

Orcid: 0000-0001-9328-9218

According to our database1, Nuha Zamzami authored at least 37 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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
Fuzzy ontology-based approach for liver fibrosis diagnosis.
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

Human Age Prediction Based on Brain MRI Using Density-Based Regression.
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

Covid-19 News Clustering using MCMC-Based Learing of finite EMSD Mixture Models.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Clustering Count Data with Stochastic Expectation Propagation.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

Mixture-Based Unsupervised Learning for Positively Correlated Count Data.
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

Distribution-based Regression Models for Semi-Bounded Data Analysis.
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

An Effective Hybrid Anomaly Detection System Based on Mixture Models.
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

Improving the EDCM Mixture Model with Expectation Propagation.
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

Online Clustering for Estimating Occupancy in an Office Setting.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Model-Based Hierarchical Clustering for Categorical Data.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Fake News Detection Using Bayesian Inference.
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

An Improved K-medoids Algorithm Based on Binary Sequences Similarity Measures.
Proceedings of the 6th International Conference on Control, 2019

2018
Text Modeling Using Multinomial Scaled Dirichlet Distributions.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

Model Selection and Estimation of a Finite Shifted-Scaled Dirichlet Mixture Model.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Consumption Behavior Prediction Using Hierarchical Bayesian Frameworks.
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

MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models.
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


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