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Belkacem FERGANI
Belkacem FERGANI
Full Professor at USTHB / LISIC Director Lab@FGE_USTHB
Verified email at usthb.dz
Title
Cited by
Cited by
Year
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 21 (1), 119-138, 2018
852018
Towards improving feature extraction and classification for activity recognition on streaming data
N Yala, B Fergani, A Fleury
Journal of Ambient Intelligence and Humanized Computing 8 (2), 177-189, 2017
612017
Feature extraction for human activity recognition on streaming data
N Yala, B Fergani, A Fleury
2015 International symposium on innovations in intelligent systems and …, 2015
612015
Speaker diarization using one-class support vector machines
B Fergani, M Davy, A Houacine
Speech Communication 50 (5), 355-365, 2008
472008
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
Encrypted traffic classification: Combining over-and under-sampling through a pca-svm
A Saber, B Fergani, M Abbas
2018 3rd International Conference on Pattern Analysis and Intelligent …, 2018
332018
Improving human activity recognition in smart homes
L Fergani, B Fergani, A Fleury
International Journal of E-Health and Medical Communications (IJEHMC) 6 (3 …, 2015
242015
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
MB Abidine, B Fergani
Information 6 (3), 505-521, 2015
172015
A new framework using PCA, LDA and KNN-SVM to activity recognition based SmartPhone’s sensors
I Menhour, B Fergani
2018 6th International Conference on Multimedia Computing and Systems (ICMCS …, 2018
162018
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
142014
RFID tag indoor localization by Fingerprinting methods
Z Belhadi, L Fergani, B Fergani, JM Laheurte
2014 4th International Conference on Wireless Communications, Vehicular …, 2014
142014
Toward a new PHY layer scheme for decoding tags collision signal in UHF RFID system
M Benbaghdad, B Fergani, S Tedjini
IEEE Communications Letters 20 (11), 2233-2236, 2016
132016
Unsupervised speaker indexing using one-class support vector machines
B Fergani, M Davy, A Houacine
2006 14th European Signal Processing Conference, 1-5, 2006
132006
New incremental SVM algorithms for human activity recognition in smart homes
Y Nawal, M Oussalah, B Fergani, A Fleury
Journal of Ambient Intelligence and Humanized Computing 14 (10), 13433-13450, 2023
112023
Request efficient channel estimation method for MIMO passive RFID systems
MF Khelladi, A Metref, B Fergani
2015 IEEE International Conference on RFID (RFID), 94-99, 2015
112015
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
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