Suivre
Dr. M'hamed Bilal Abidine
Dr. M'hamed Bilal Abidine
Associate Professor in Telecommunications, LISIC Lab, FEI, USTHB
Adresse e-mail validée de usthb.dz
Titre
Citée par
Citée par
Année
The joint use of sequence features combination and modified weighted SVM for improving daily activity recognition
BM Abidine, L Fergani, B Fergani, M Oussalah
Pattern Analysis and Applications, Springer 21 (1), 119-138, 2018
862018
Evaluating C-SVM, CRF and LDA classification for daily activity recognition
B Fergani
2012 International Conference on Multimedia Computing and Systems, 272-277, 2012
382012
Improving Human Activity Recognition in Smart Homes
MHB Abidine, L Fergani, B Fergani, A Fleury
International Journal of E-Health and Medical Communications (IJEHMC) 6 (3 …, 2015
24*2015
Evaluating a new classification method using PCA to human activity recognition
B Fergani
2013 International Conference on Computer Medical Applications (ICCMA), 1-4, 2013
192013
A new classification strategy for human activity recognition using cost sensitive support vector machines for imbalanced data
B M’hamed Abidine, B Fergani, M Oussalah, L Fergani
Kybernetes 43 (8), 1150-1164, 2014
182014
News Schemes for Activity Recognition Systems Using PCA-WSVM, ICA-WSVM, and LDA-WSVM
MBAB Fergani
Information Science Journal 6 (3), 505-521, 2015
17*2015
Comparing HMM, LDA, SVM and Smote-SVM Algorithms in Classifying Human Activities
MB Abidine, B Fergani
Proceedings of the Mediterranean Conference on Information & Communication …, 2016
152016
A New Multi-Class WSVM Classification to Imbalanced Human Activity Dataset.
BA M'hamed, B Fergani
J. Comput. 9 (7), 1560-1565, 2014
152014
Importance-weighted the imbalanced data for C-SVM classifier to human activity recognition
MB Abidine, B Fergani, L Clavier
9th International Workshop on Systems, Signal Processing and their …, 2013
102013
Soft margin SVM modeling for handling imbalanced human activity datasets in multiple homes
N Yala, B Fergani, L Clavier
2014 international conference on multimedia computing and systems (ICMCS …, 2014
92014
Activity Recognition from Smartphones Using Hybrid Classifier PCA-SVM-HMM
A M'hamed, Bilal, F Belkacem, M Ihssene
2019 International Conference on Wireless Networks and Mobile Communications …, 2019
7*2019
E-health human activity recognition scheme using smartphone’s data
I Menhour, B Fergani, MB Abidine
Proceedings of the 1st International Conference on Electronic Engineering …, 2019
62019
Effect of oversampling versus undersampling for SVM and LDA classifiers for activity recognition
MB Abidine, B Fergani, FJO Morales
International Conference on Big Data 2016, 2016
52016
Importance-weighted the imbalanced data for C-SVM classifier to human activity recognition
B Fergani, L Clavier
2013 8th International Workshop on Systems, Signal Processing and their …, 2013
52013
Human Activities Recognition in Android Smartphone Using WSVM-HMM Classifier
BF M’hamed Bilal Abidine
International Conference on Smart Homes and Health Telematics 12157, 386-394, 2020
4*2020
Integrating prior Knowledge in Weighted SVM for Human Activity Recognition in Smart Home
MB Abidine, B Fergani, A Fleury
International Conference On Smart homes and health Telematics 15, 2017
4*2017
Activity recognition on smartphones using an AKNN based support vectors
MB Abidine, M Oussalah, B Fergani, H Lounis
Sensor Review, 18, 2022
3*2022
Activity recognition from Smartphone data using WSVM-HMM classification
MB Abidine, B Fergani
International Journal of E-Health and Medical Communications (IJEHMC) 12 (6 …, 2021
32021
A new activity classification method K-SVM using Smartphone data
I Menhour, M Abidine, B Fergani
2019 International Conference on Advanced Electrical Engineering (ICAEE), 1-5, 2019
32019
Activity recognition from smartphone data using weighted learning methods
MB Abidine, B Fergani
Intelligenza Artificiale, IOS Press 15 (1), 1-15, 2021
2*2021
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