Seuraa
Dr. M'hamed Bilal Abidine
Dr. M'hamed Bilal Abidine
Associate Professor in Telecommunications, LISIC Lab, FEI, USTHB
Vahvistettu sähköpostiosoite verkkotunnuksessa usthb.dz
Nimike
Viittaukset
Viittaukset
Vuosi
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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Artikkelit 1–20