Fatma Najar

Orcid: 0000-0003-2301-4803

According to our database1, Fatma Najar authored at least 33 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Generalizing Conditional Naive Bayes Model.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

2023
Online short text clustering using infinite extensions of discrete mixture models.
Comput. Intell., October, 2023

On smoothing and scaling language model for sentiment based information retrieval.
Adv. Data Anal. Classif., September, 2023

Bounded multivariate generalized Gaussian mixture model using ICA and IVA.
Pattern Anal. Appl., August, 2023

Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration.
J. Imaging, 2023

Occupancy estimation in smart buildings using predictive modeling in imbalanced domains.
J. Ambient Intell. Humaniz. Comput., 2023

Generalized Probabilistic Clustering Projection Models for Discrete Data.
Proceedings of the International Symposium on Networks, Computers and Communications, 2023

Sentiment Analysis Using Smoothed Probabilistic-Based Models.
Proceedings of the 9th International Conference on Control, 2023

2022
Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States.
IEEE Trans. Artif. Intell., 2022

Exact fisher information of generalized Dirichlet multinomial distribution for count data modeling.
Inf. Sci., 2022

Emotion recognition: A smoothed Dirichlet multinomial solution.
Eng. Appl. Artif. Intell., 2022

Bayesian Folding-In Using Generalized Dirichlet and Beta-Liouville Kernels for Information Retrieval.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021
A statistical framework for few-shot action recognition.
Multim. Tools Appl., 2021

Inverted Dirichlet State Space Model for Time Series Forecasting.
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021

Jointly smoothing word embedding and text representation.
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Sparse Document Analysis Using Beta-Liouville Naive Bayes with Vocabulary Knowledge.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021

2020
A new hybrid discriminative/generative model using the full-covariance multivariate generalized Gaussian mixture models.
Soft Comput., 2020

Instance-Based Learning for Human Action Recognition.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Generalized Inverted Dirichlet Optimal Predictor for Image Inpainting.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 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

Efficient Statistical Learning Framework with Applications to Human Activity and Facial Expression Recognition.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Happiness Analysis with Fisher Information of Dirichlet-Multinomial Mixture Model.
Proceedings of the Advances in Artificial Intelligence, 2020

2019
Unsupervised learning of finite full covariance multivariate generalized Gaussian mixture models for human activity recognition.
Multim. Tools Appl., 2019

Variational Inference of Finite Generalized Gaussian Mixture Models.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Fake News Detection Using Bayesian Inference.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

2018
Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

2017
A Comparison Between Different Gaussian-Based Mixture Models.
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017


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