Sami Bourouis
0000-0002-6638-7039
44 papers found
Refreshing results…
A Multi Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model
GA-based geometrically optimized topology robustness to improve ambient intelligence for future internet of things
Stability and Numerical Solutions of Second Wave Mathematical Modeling on COVID-19 and Omicron Outbreak Strategy of Pandemic: Analytical and Error Analysis of Approximate Series Solutions by Using HPM
A Robust and Novel Approach for Brain Tumor Classification Using Convolutional Neural Network
Bayesian inference framework for bounded generalized Gaussian‐based mixture model and its application to biomedical images classification
A new hybrid discriminative/generative model using the full-covariance multivariate generalized Gaussian mixture models
Bayesian frameworks for traffic scenes monitoring via view-based 3D cars models recognition
Unsupervised learning of finite full covariance multivariate generalized Gaussian mixture models for human activity recognition
Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification
Network Anomaly Intrusion Detection Using a Nonparametric Bayesian Approach and Feature Selection
Entropy-based variational Bayes learning framework for data clustering
Infinite Scaled Dirichlet Mixture Models for Spam Filtering via Bayesian and Variational Bayes Learning
Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures
A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition
Color image segmentation with bounded generalized Gaussian mixture model and feature selection
Image and video denoising by combining unsupervised bounded generalized gaussian mixture modeling and spatial information
Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM
Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation
Visual Scene Reconstruction Using a Bayesian Learning Framework
A Flexible Statistical Model for Image Denoising
Missing publications? Search for publications with a matching author name.