Sami Bourouis
Orcid: 0000-0002-6638-7039
According to our database1,
Sami Bourouis
authored at least 73 papers
between 2008 and 2024.
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Bibliography
2024
Spatio-Temporal Features Representation Using Recurrent Capsules for Monaural Speech Enhancement.
IEEE Access, 2024
2023
Expectation propagation learning of finite and infinite Gamma mixture models and its applications.
Multim. Tools Appl., September, 2023
An optimized machine learning method for predicting wogonin therapy for the treatment of pulmonary hypertension.
Comput. Biol. Medicine, September, 2023
Dispersed differential hunger games search for high dimensional gene data feature selection.
Comput. Biol. Medicine, September, 2023
SVM-based generative adverserial networks for federated learning and edge computing attack model and outpoising.
Expert Syst. J. Knowl. Eng., June, 2023
Unsupervised Learning Using Expectation Propagation Inference of Inverted Beta-Liouville Mixture Models for Pattern Recognition Applications.
Cybern. Syst., May, 2023
An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems.
Expert Syst. Appl., 2023
Classifying and Localizing Abnormalities in Brain MRI Using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder.
IEEE Access, 2023
Multi-Attention Bottleneck for Gated Convolutional Encoder-Decoder-Based Speech Enhancement.
IEEE Access, 2023
MaizeNet: A Deep Learning Approach for Effective Recognition of Maize Plant Leaf Diseases.
IEEE Access, 2023
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023
2022
J. King Saud Univ. Comput. Inf. Sci., November, 2022
Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures.
Sensors, 2022
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection.
Neurocomputing, 2022
Detection of coronavirus disease using texture analysis and machine learning methods.
Int. J. Intell. Eng. Informatics, 2022
Peer-to-peer trust management in intelligent transportation system: An Aumann's agreement theorem based approach.
ICT Express, 2022
Development of an IoT-Based Sleep Apnea Monitoring System for Healthcare Applications.
CoRR, 2022
A Novel Secured Multi-Access Edge Computing based VANET with Neuro fuzzy systems based Blockchain Framework.
Comput. Commun., 2022
GA-based geometrically optimized topology robustness to improve ambient intelligence for future internet of things.
Comput. Commun., 2022
Corrigendum to "A novel trust-based security and privacy model for Internet of Vehicles using encryption and steganography" CAEE, Volume 102, September 2022, 108205.
Comput. Electr. Eng., 2022
A novel trust-based security and privacy model for Internet of Vehicles using encryption and steganography.
Comput. Electr. Eng., 2022
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization.
Comput. Biol. Medicine, 2022
2021
Discriminative Learning Approach Based on Flexible Mixture Model for Medical Data Categorization and Recognition.
Sensors, 2021
Oil Spill Detection in SAR Images Using Online Extended Variational Learning of Dirichlet Process Mixtures of Gamma Distributions.
Remote. Sens., 2021
Color object segmentation and tracking using flexible statistical model and level-set.
Multim. Tools Appl., 2021
Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images.
J. Imaging, 2021
Nonparametric learning approach based on infinite flexible mixture model and its application to medical data analysis.
Int. J. Imaging Syst. Technol., 2021
Online Learning of Finite and Infinite Gamma Mixture Models for COVID-19 Detection in Medical Images.
Comput., 2021
IEEE Access, 2021
Markov Chain Monte Carlo-Based Bayesian Inference for Learning Finite and Infinite Inverted Beta-Liouville Mixture Models.
IEEE Access, 2021
2020
Symmetry, 2020
A new hybrid discriminative/generative model using the full-covariance multivariate generalized Gaussian mixture models.
Soft Comput., 2020
Toward Effective Medical Image Analysis Using Hybrid Approaches - Review, Challenges and Applications.
Inf., 2020
Bayesian inference framework for bounded generalized Gaussian-based mixture model and its application to biomedical images classification.
Int. J. Imaging Syst. Technol., 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
2019
Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures.
Soft Comput., 2019
Unsupervised learning of finite full covariance multivariate generalized Gaussian mixture models for human activity recognition.
Multim. Tools Appl., 2019
Bayesian frameworks for traffic scenes monitoring via view-based 3D cars models recognition.
Multim. Tools Appl., 2019
Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification.
IEEE Access, 2019
Network Anomaly Intrusion Detection Using a Nonparametric Bayesian Approach and Feature Selection.
IEEE Access, 2019
2018
Image and video denoising by combining unsupervised bounded generalized gaussian mixture modeling and spatial information.
Multim. Tools Appl., 2018
Int. J. Intell. Eng. Informatics, 2018
IET Image Process., 2018
Infinite Scaled Dirichlet Mixture Models for Spam Filtering via Bayesian and Variational Bayes Learning.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018
EP-Based Infinite Inverted Dirichlet Mixture Learning: Application to Image Spam Detection.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018
Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation.
Proceedings of the Image and Signal Processing - 8th International Conference, 2018
Proceedings of the Image and Signal Processing - 8th International Conference, 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
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
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
Color image segmentation with bounded generalized Gaussian mixture model and feature selection.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018
2017
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017
2016
Variational learning of hierarchical infinite generalized Dirichlet mixture models and applications.
Soft Comput., 2016
Proceedings of the 5th International Conference on Multimedia Computing and Systems, 2016
2015
Intrusion detection alert management for high-speed networks: current researches and applications.
Secur. Commun. Networks, 2015
A hierarchical Dirichlet process mixture of generalized Dirichlet distributions for feature selection.
Comput. Electr. Eng., 2015
Adaptive Variational Model and Learning-based SVM for Medical Image Segmentation.
Proceedings of the ICPRAM 2015, 2015
2014
Bayesian learning of finite generalized inverted Dirichlet mixtures: Application to object classification and forgery detection.
Expert Syst. Appl., 2014
Proceedings of the Progress in Systems Engineering, 2014
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014
2013
Proceedings of the 2013 IEEE 12th International Symposium on Network Computing and Applications, 2013
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013
2012
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012
2011
J. Ubiquitous Syst. Pervasive Networks, 2011
Automatic Mesh Segmentation using Atlas Projection and Thin Plate Spline - Application for a Segmentation of Skull Ossicles.
Proceedings of the VISAPP 2011, 2011
2010
Int. J. Image Graph., 2010
2008
Multiresolution Mesh Segmentation of MRI Brain Using Classification and Discrete Curvature.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008
A Fast and Robust Method for Volumetric MRI Brain Extraction.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008
Automatic MRI Brain Segmentation with Combined Atlas-Based Classification and Level-Set Approach.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008