Author

Mohamed Hammami

MIRACL-Faculty of Sciences, University of Sfax - Cited by 1,322 - Computer vision - Machine Learning - Pattern recognition

Biography

Dr. Mohamed Hammami  is an Associate professor in the department of Computer vision MIRACL-Faculty of Sciences, University of Sfax Tunisia. His study interests major on Computer vision. Currently , Dr. Mohamed Hammami  is the author/editors/reviewer in several international journals. He published 5 articles in many journals and the articles are informative and got good citations.
Title
Cited by
Year
Human activity recognition from UAV-captured video sequences
H Mliki, F Bouhlel, M HammamiPattern Recognition 100, 107140, 2020202
58
2020
Fusion of thermal infrared and visible spectra for robust moving object detection
E Fendri, RR Boukhriss, M HammamiPattern Analysis and Applications 20, 907-926, 2017201
39
2017
A new emotion–based affective model to detect student’s engagement
K Altuwairqi, SK Jarraya, A Allinjawi, M HammamiJournal of King Saud University-Computer and Information Sciences 33 (1), 99-109, 2021202
35
2021
Data warehouse design approaches from social media: review and comparison
I Moalla, A Nabli, L Bouzguenda, M HammamiSocial Network Analysis and Mining 7 (1), 5, 2017201
27
2017
Student behavior analysis to measure engagement levels in online learning environments
K Altuwairqi, SK Jarraya, A Allinjawi, M HammamiSignal, image and video processing 15 (7), 1387-1395, 2021202
23
2021
AECID: Asymmetric entropy for classifying imbalanced data
R Guermazi, I Chaabane, M HammamiInformation Sciences 467, 373-397, 2018201
23
2018
Enhancing techniques for learning decision trees from imbalanced data
I Chaabane, R Guermazi, M HammamiAdvances in Data Analysis and Classification 14, 677-745, 2020202
23
2020
Moving object detection under different weather conditions using full-spectrum light sources
RR Boukhriss, E Fendri, M HammamiPattern Recognition Letters 129, 205-212, 2020202
22
2020
Crowd Behavior Analysis based on Convolutional Neural Network: Social Distancing Control COVID-19.
Crowd Behavior Analysis based on Convolutional Neural Network: Social Distancing Control COVID-.F Bouhlel, H Mliki, M HammamiVISIGRAPP (5: VISAPP), 273-280, 2021202
19
2021
Learning local representations for scalable RGB-D face recognition
N Grati, A Ben-Hamadou, M HammamiExpert Systems with Applications 150, 113319, 2020202
12
2020
Finger surfaces recognition using rank level fusion
S Ben Jemaa, M Hammami, H Ben-AbdallahThe Computer Journal 60 (7), 969-985, 2017201
11
2017
Gait-based person re-identification under covariate factors
E Fendri, I Chtourou, M HammamiPattern Analysis and Applications 22, 1629-1642, 2019201
11
2019
Facial-expression recognition based on a low-dimensional temporal feature space
TB Abdallah, R Guermazi, M HammamiMultimedia Tools and Applications 77, 19455-19479, 2018201
11
2018
Multi-level semantic appearance representation for person re-identification system
E Fendri, M Frikha, M HammamiPattern Recognition Letters 115, 30-38, 2018201
10
2018
Human action recognition based on discriminant body regions selection
H Mliki, R Zaafouri, M HammamiSignal, Image and Video Processing 12, 845-852, 2018201
9
2018
People search based on attributes description provided by an eyewitness for video surveillance applications
M Frikha, E Fendri, M HammamiMultimedia Tools and Applications 78, 2045-2072, 20120
9
2019
Abnormal crowd density estimation in aerial images based on the deep and handcrafted features fusion
F Bouhlel, H Mliki, M HammamiExpert Systems with Applications 173, 114656, 2021202
9
2021
Walking direction estimation for gait based applications
I Chtourou, E Fendri, M HammamiProcedia Computer Science 126, 59-6, 2018201
7
2018