A Comparison Between Different Gaussian-Based Mixture Models. - Fatma Najar; Sami Bourouis; Nizar Bouguila; Safya Belghith (AICCSA, 2017)

A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition. - Fatma Najar; Sami Bourouis; Nizar Bouguila; Safya Belghith (CCECE, 2018)

Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM. - Fatma Najar; Sami Bourouis; Atef Zaguia; Nizar Bouguila; Safya Belghith (ICIAR, 2018)

Fake News Detection Using Bayesian Inference. - Fatma Najar; Nuha Zamzami; Nizar Bouguila (IRI, 2019)

A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings. - Manar Amayri; Stéphane Ploix; Fatma Najar; Nizar Bouguila; Frédéric Wurtz (SSCI, 2019)

Variational Inference of Finite Generalized Gaussian Mixture Models. - Srikanth Amudala; Samr Ali; Fatma Najar; Nizar Bouguila (SSCI, 2019)

Unsupervised learning of finite full covariance multivariate generalized Gaussian mixture models for human activity recognition. - Fatma Najar; Sami Bourouis; Nizar Bouguila; Safya Belghith (Multim. Tools Appl., 2019)

Happiness Analysis with Fisher Information of Dirichlet-Multinomial Mixture Model. - Fatma Najar; Nizar Bouguila (Canadian AI, 2020)

Efficient Statistical Learning Framework with Applications to Human Activity and Facial Expression Recognition. - Fatma Najar; Sami Bourouis; Marwan Alshar'e; Roobaea Alroobaea; Nizar Bouguila; Ali H. Al-Badi; Ines Channoufi (ATSIP, 2020)

Recognition of human interactions in feature films based on infinite mixture of EDCM. - Fatma Najar; Nuha Zamzami; Nizar Bouguila (ISNCC, 2020)

Generalized Inverted Dirichlet Optimal Predictor for Image Inpainting. - Omar Graja; Fatma Najar; Nizar Bouguila (ISVC (1), 2020)

Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures. - Fatma Najar; Nizar Bouguila (ISVC (2), 2020)

Instance-Based Learning for Human Action Recognition. - Mark Haddad; Vahid Khorasani Ghassab; Fatma Najar; Nizar Bouguila (SMC, 2020)

A new hybrid discriminative/generative model using the full-covariance multivariate generalized Gaussian mixture models. - Fatma Najar; Sami Bourouis; Nizar Bouguila; Safya Belghith (Soft Comput., 2020)

Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model. - Samar Hannachi; Fatma Najar; Nizar Bouguila (ACIIDS (Companion), 2021)

Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation. - Fatma Najar; Nizar Bouguila (ADMA, 2021)

Sparse Document Analysis Using Beta-Liouville Naive Bayes with Vocabulary Knowledge. - Fatma Najar; Nizar Bouguila (ICDAR (2), 2021)

Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering. - Samar Hannachi; Fatma Najar; Koffi Eddy Ihou; Nizar Bouguila (IEA/AIE (1), 2021)

Jointly smoothing word embedding and text representation. - Fatma Najar; Nizar Bouguila (IRI, 2021)

Inverted Dirichlet State Space Model for Time Series Forecasting. - Omar Graja; Fatma Najar; Manar Amayri; Nizar Bouguila (ISIE, 2021)

A statistical framework for few-shot action recognition. - Mark Haddad; Vahid Khorasani Ghassab; Fatma Najar; Nizar Bouguila (Multim. Tools Appl., 2021)

Bayesian Folding-In Using Generalized Dirichlet and Beta-Liouville Kernels for Information Retrieval. - Sahar Salmanzade Yazdi; Fatma Najar; Nizar Bouguila (SSCI, 2022)

Emotion recognition: A smoothed Dirichlet multinomial solution. - Fatma Najar; Nizar Bouguila (Eng. Appl. Artif. Intell., 2022)

Exact fisher information of generalized Dirichlet multinomial distribution for count data modeling. - Fatma Najar; Nizar Bouguila (Inf. Sci., 2022)

Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States. - Fatma Najar; Nizar Bouguila (IEEE Trans. Artif. Intell., 2022)

Sentiment Analysis Using Smoothed Probabilistic-Based Models. - Fatma Najar; Nizar Bouguila (CoDIT, 2023)

Generalized Probabilistic Clustering Projection Models for Discrete Data. - Sahar Salmanzade Yazdi; Fatma Najar; Nizar Bouguila (ISNCC, 2023)

Occupancy estimation in smart buildings using predictive modeling in imbalanced domains. - Jiaxun Guo; Manar Amayri; Fatma Najar; Wentao Fan; Nizar Bouguila (J. Ambient Intell. Humaniz. Comput., 2023)

Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration. - Bingwei Ge; Fatma Najar; Nizar Bouguila (J. Imaging, 2023)

Bounded multivariate generalized Gaussian mixture model using ICA and IVA. - Ali Algumaei; Muhammad Azam 002; Fatma Najar; Nizar Bouguila (Pattern Anal. Appl., 2023)

On smoothing and scaling language model for sentiment based information retrieval. - Fatma Najar; Nizar Bouguila (Adv. Data Anal. Classif., 2023)

Online short text clustering using infinite extensions of discrete mixture models. - Samar Hannachi; Fatma Najar; Hafsa Ennajari; Nizar Bouguila (Comput. Intell., 2023)

Generalizing Conditional Naive Bayes Model. - Sahar Salmanzade Yazdi; Fatma Najar; Nizar Bouguila (ICEIS (1), 2024)

Flexible Dirichlet Mixture Model for Multi-modal data Clustering. - Seunghyun Hong; Fatma Najar; Manar Amayri; Nizar Bouguila (FLAIRS, 2025)

Arabic Fake News Dataset Development: Humans and AI-Generated Contributions. - Hanen T. Himdi; Nuha Zamzami; Fatma Najar; Mada Alrehaili; Nizar Bouguila (IEEE Access, 2025)

SmoothDectector: A Smoothed Dirichlet Multimodal Approach for Combating Fake News on Social Media. - Akinlolu Oluwabusayo Ojo; Fatma Najar; Nuha Zamzami; Hanen T. Himdi; Nizar Bouguila (IEEE Access, 2025)