Nuha Zamzami

According to our database, Nuha Zamzami authored at least 36 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Fuzzy ontology-based approach for liver fibrosis diagnosis.

Sara Sweidan, Nuha Zamzami, Sahar F. Sabbeh

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.

Nuha Zamzami, Nizar Bouguila

Pattern Anal. Appl., February, 2023

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

Ornela Bregu, Nuha Zamzami, Nizar Bouguila

Proceedings of the IEEE International Conference on Industrial Technology, 2023

2022

Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions.

Nuha Zamzami, Nizar Bouguila

IEEE Trans. Neural Networks Learn. Syst., 2022

A Fully Bayesian Inference with Gibbs Sampling for Finite and Infinite Discrete Exponential Mixture Models.

Xuanbo Su, Nuha Zamzami, Nizar Bouguila

Appl. Artif. Intell., 2022

2021

Online mixture-based clustering for high dimensional count data using Neerchal-Morel distribution.

Ornela Bregu, Nuha Zamzami, Nizar Bouguila

Knowl. Based Syst., 2021

Mixture-based clustering for count data using approximated Fisher Scoring and Minorization-Maximization approaches.

Ornela Bregu, Nuha Zamzami, Nizar Bouguila

Comput. Intell., 2021

Covid-19 News Clustering using MCMC-Based Learing of finite EMSD Mixture Models.

Xuanbo Su, Nizar Bouguila, Nuha Zamzami

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Clustering Count Data with Stochastic Expectation Propagation.

Xavier Sumba, Nuha Zamzami, Nizar Bouguila

Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

Mixture-Based Unsupervised Learning for Positively Correlated Count Data.

Ornela Bregu, Nuha Zamzami, Nizar Bouguila

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.

Nuha Zamzami, Nizar Bouguila

ACM Trans. Knowl. Discov. Data, 2020

High-dimensional count data clustering based on an exponential approximation to the multinomial Beta-Liouville distribution.

Nuha Zamzami, Nizar Bouguila

Inf. Sci., 2020

Proportional data modeling via selection and estimation of a finite mixture of scaled Dirichlet distributions.

Nuha Zamzami, Rua Alsuroji, Oboh Eromonsele, Nizar Bouguila

Comput. Intell., 2020

Flexible Distribution-Based Regression Models for Count Data: Application to Medical Diagnosis.

Pantea Koochemeshkian, Nuha Zamzami, Nizar Bouguila

Cybern. Syst., 2020

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

Pantea Koochemeshkian, Nuha Zamzami, Nizar Bouguila

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.

Fahdah Alalyan, Nuha Zamzami, Nizar Bouguila

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

An Effective Hybrid Anomaly Detection System Based on Mixture Models.

Yogesh Pawar, Nuha Zamzami, Nizar Bouguila

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.

Fatma Najar, Nuha Zamzami, Nizar Bouguila

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.

Nuha Zamzami, Pantea Koochemeshkian, Nizar Bouguila

Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020

Improving the EDCM Mixture Model with Expectation Propagation.

Xavier Sumba, Nuha Zamzami, Nizar Bouguila

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.

Nuha Zamzami, Nizar Bouguila

Pattern Recognit., 2019

Hybrid generative discriminative approaches based on Multinomial Scaled Dirichlet mixture models.

Nuha Zamzami, Nizar Bouguila

Appl. Intell., 2019

Model selection and application to high-dimensional count data clustering - via finite EDCM mixture models.

Nuha Zamzami, Nizar Bouguila

Appl. Intell., 2019

Efficient Computation of Log-likelihood Function in Clustering Overdispersed Count Data Using Multinomial Beta-Liouville Distribution.

Masoud Daghyani, Nuha Zamzami, Nizar Bouguila

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Online Clustering for Estimating Occupancy in an Office Setting.

Nuha Zamzami, Manar Amayri, Nizar Bouguila, Stéphane Ploix

Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Model-Based Hierarchical Clustering for Categorical Data.

Fahdah Alalyan, Nuha Zamzami, Nizar Bouguila

Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Fake News Detection Using Bayesian Inference.

Fatma Najar, Nuha Zamzami, Nizar Bouguila

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.

Nuha Zamzami, Nizar Bouguila

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

An Improved K-medoids Algorithm Based on Binary Sequences Similarity Measures.

Fahdah Alalyan, Nuha Zamzami, Manar Amayri, Nizar Bouguila

Proceedings of the 6th International Conference on Control, 2019

2018

Text Modeling Using Multinomial Scaled Dirichlet Distributions.

Nuha Zamzami, Nizar Bouguila

Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

Model Selection and Estimation of a Finite Shifted-Scaled Dirichlet Mixture Model.

Rua Alsuroji, Nuha Zamzami, Nizar Bouguila

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Consumption Behavior Prediction Using Hierarchical Bayesian Frameworks.

Nuha Zamzami, Nizar Bouguila

Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

Predicting Defect-Prone Software Modules Using Shifted-Scaled Dirichlet Distribution.

Rua Alsuroji, Nizar Bouguila, Nuha Zamzami

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.

Nuha Zamzami, Nizar Bouguila

Proceedings of the Advances in Artificial Intelligence, 2018

2017

The impact of individual collaborative activities on knowledge creation and transmission.

Nuha Zamzami, Andrea Schiffauerova

Scientometrics, 2017

2015

Evaluating the science-technology interaction in nanotechnology: a simulation-based study.

Nuha Zamzami, Andrea Schiffauerova

Proceedings of the 2015 Winter Simulation Conference, 2015