Sami Bourouis

Orcid: 0000-0002-6638-7039

According to our database1, Sami Bourouis authored at least 80 papers between 2008 and 2025.

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

Timeline

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Bibliography

2025
Deep learning techniques for hand vein biometrics: A comprehensive review.
Inf. Fusion, 2025

Wastewater treatment monitoring: Fault detection in sensors using transductive learning and improved reinforcement learning.
Expert Syst. Appl., 2025

2024
Lightweight Real-Time Recurrent Models for Speech Enhancement and Automatic Speech Recognition.
Int. J. Interact. Multim. Artif. Intell., 2024

Time domain speech enhancement with CNN and time-attention transformer.
Digit. Signal Process., 2024

B-LPoET: A middleware lightweight Proof-of-Elapsed Time (PoET) for efficient distributed transaction execution and security on Blockchain using multithreading technology.
Comput. Electr. Eng., 2024

Squeeze-and-excitation 3D convolutional attention recurrent network for end-to-end speech emotion recognition.
Appl. Soft Comput., 2024

Temporally Dynamic Spiking Transformer Network for Speech Enhancement.
IEEE Access, 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

Recent Advances in Statistical Mixture Models: Challenges and Applications.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

2022
A novel DeepMaskNet model for face mask detection and masked facial recognition.
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

Efficient-SwishNet Based System for Facial Emotion Recognition.
IEEE Access, 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

A Competitive Generalized Gamma Mixture Model for Medical Image Diagnosis.
IEEE Access, 2021

Markov Chain Monte Carlo-Based Bayesian Inference for Learning Finite and Infinite Inverted Beta-Liouville Mixture Models.
IEEE Access, 2021

2020
Recent Advances in Digital Multimedia Tampering Detection for Forensics Analysis.
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

A purely Bayesian approach for proportional visual data modelling.
Int. J. Intell. Eng. Informatics, 2018

Entropy-based variational Bayes learning framework for data clustering.
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

Visual Scene Reconstruction Using a Bayesian Learning Framework.
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

A Flexible Statistical Model for Image Denoising.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Hybrid Statistical Framework for Diabetic Retinopathy Detection.
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
A Comparison Between Different Gaussian-Based Mixture Models.
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017

Video Forgery Detection Using a Bayesian RJMCMC-Based Approach.
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

Deformable models based object tracking: Challenges and current researches.
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

Web Service Intrusion Detection Using a Probabilistic Framework.
Proceedings of the Progress in Systems Engineering, 2014

A Hierarchical Infinite Generalized Dirichlet Mixture Model with Feature Selection.
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014

Copy-move image forgery detection based on SIFT descriptors and SVD-matching.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

2013
A Real Time Adaptive Intrusion Detection Alert Classifier for High Speed Networks.
Proceedings of the 2013 IEEE 12th International Symposium on Network Computing and Applications, 2013

Multimodal Bone Cancer Detection Using Fuzzy Classification and Variational Model.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Unsupervised video objects detection and tracking using region based level-set.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012

2011
Fully Automatic Brain Tumor Segmentation Based on Multi-Modality MRI and Level-set.
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
3D Segmentation of MRI Brain Using Level Set and Unsupervised Classification.
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


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