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2020 – today
- 2024
[c22]Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila:
Generalizing Conditional Naive Bayes Model. ICEIS (1) 2024: 163-171- 2023
- [j11]Fatma Najar
, Nizar Bouguila:
On smoothing and scaling language model for sentiment based information retrieval. Adv. Data Anal. Classif. 17(3): 725-744 (2023) - [j10]Samar Hannachi, Fatma Najar, Hafsa Ennajari, Nizar Bouguila:
Online short text clustering using infinite extensions of discrete mixture models. Comput. Intell. 39(5): 759-782 (2023) - [j9]Jiaxun Guo, Manar Amayri, Fatma Najar, Wentao Fan, Nizar Bouguila:
Occupancy estimation in smart buildings using predictive modeling in imbalanced domains. J. Ambient Intell. Humaniz. Comput. 14(8): 10917-10929 (2023) - [j8]Bingwei Ge, Fatma Najar, Nizar Bouguila:
Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration. J. Imaging 9(9): 179 (2023) - [j7]Ali Algumaei, Muhammad Azam, Fatma Najar, Nizar Bouguila:
Bounded multivariate generalized Gaussian mixture model using ICA and IVA. Pattern Anal. Appl. 26(3): 1223-1252 (2023) - [c21]Fatma Najar, Nizar Bouguila:
Sentiment Analysis Using Smoothed Probabilistic-Based Models. CoDIT 2023: 1185-1190 - [c20]Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila:
Generalized Probabilistic Clustering Projection Models for Discrete Data. ISNCC 2023: 1-7 - 2022
- [j6]Fatma Najar, Nizar Bouguila:
Emotion recognition: A smoothed Dirichlet multinomial solution. Eng. Appl. Artif. Intell. 107: 104542 (2022) - [j5]Fatma Najar, Nizar Bouguila:
Exact fisher information of generalized Dirichlet multinomial distribution for count data modeling. Inf. Sci. 586: 688-703 (2022) - [j4]Fatma Najar, Nizar Bouguila:
Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States. IEEE Trans. Artif. Intell. 3(5): 685-698 (2022) - [c19]Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila:
Bayesian Folding-In Using Generalized Dirichlet and Beta-Liouville Kernels for Information Retrieval. SSCI 2022: 1430-1435 - 2021
- [j3]Mark Haddad, Vahid Khorasani Ghassab, Fatma Najar, Nizar Bouguila:
A statistical framework for few-shot action recognition. Multim. Tools Appl. 80(16): 24303-24318 (2021) - [c18]Samar Hannachi, Fatma Najar, Nizar Bouguila:
Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model. ACIIDS (Companion) 2021: 149-161 - [c17]Fatma Najar, Nizar Bouguila:
Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation. ADMA 2021: 177-191 - [c16]Fatma Najar, Nizar Bouguila:
Sparse Document Analysis Using Beta-Liouville Naive Bayes with Vocabulary Knowledge. ICDAR (2) 2021: 351-363 - [c15]Samar Hannachi, Fatma Najar, Koffi Eddy Ihou, Nizar Bouguila:
Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering. IEA/AIE (1) 2021: 564-571 - [c14]Fatma Najar, Nizar Bouguila:
Jointly smoothing word embedding and text representation. IRI 2021: 282-289 - [c13]Omar Graja, Fatma Najar, Manar Amayri, Nizar Bouguila:
Inverted Dirichlet State Space Model for Time Series Forecasting. ISIE 2021: 1-6 - 2020
- [j2]Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith:
A new hybrid discriminative/generative model using the full-covariance multivariate generalized Gaussian mixture models. Soft Comput. 24(14): 10611-10628 (2020) - [c12]Fatma Najar, Nizar Bouguila:
Happiness Analysis with Fisher Information of Dirichlet-Multinomial Mixture Model. Canadian AI 2020: 438-444 - [c11]Fatma Najar, Sami Bourouis, Marwan Ibrahim Alshar'e, Roobaea Alroobaea, Nizar Bouguila, Ali H. Al-Badi, Ines Channoufi:
Efficient Statistical Learning Framework with Applications to Human Activity and Facial Expression Recognition. ATSIP 2020: 1-6 - [c10]Fatma Najar, Nuha Zamzami, Nizar Bouguila:
Recognition of human interactions in feature films based on infinite mixture of EDCM. ISNCC 2020: 1-6 - [c9]Fatma Najar, Nizar Bouguila:
Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures. ISVC (2) 2020: 27-38 - [c8]Omar Graja, Fatma Najar, Nizar Bouguila:
Generalized Inverted Dirichlet Optimal Predictor for Image Inpainting. ISVC (1) 2020: 410-421 - [c7]Mark Haddad, Vahid Khorasani Ghassab, Fatma Najar, Nizar Bouguila:
Instance-Based Learning for Human Action Recognition. SMC 2020: 147-153
2010 – 2019
- 2019
- [j1]Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith:
Unsupervised learning of finite full covariance multivariate generalized Gaussian mixture models for human activity recognition. Multim. Tools Appl. 78(13): 18669-18691 (2019) - [c6]Fatma Najar, Nuha Zamzami, Nizar Bouguila:
Fake News Detection Using Bayesian Inference. IRI 2019: 389-394 - [c5]Manar Amayri, Stéphane Ploix, Fatma Najar, Nizar Bouguila, Frédéric Wurtz:
A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings. SSCI 2019: 1729-1734 - [c4]Srikanth Amudala, Samr Ali, Fatma Najar, Nizar Bouguila:
Variational Inference of Finite Generalized Gaussian Mixture Models. SSCI 2019: 2433-2439 - 2018
- [c3]Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith:
A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition. CCECE 2018: 1-4 - [c2]Fatma Najar, Sami Bourouis, Atef Zaguia, Nizar Bouguila, Safya Belghith:
Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM. ICIAR 2018: 408-415 - 2017
- [c1]Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith:
A Comparison Between Different Gaussian-Based Mixture Models. AICCSA 2017: 704-708
Coauthor Index
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last updated on 2024-06-10 20:25 CEST by the dblp team
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