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 | 93 | 2018 |
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 | 68 | 2015 |
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 | 67 | 2017 |
Speaker diarization using one-class support vector machines B Fergani, M Davy, A Houacine Speech Communication 50 (5), 355-365, 2008 | 49 | 2008 |
Evaluating C-SVM, CRF and LDA classification for daily activity recognition B Fergani 2012 International Conference on Multimedia Computing and Systems, 272-277, 2012 | 40 | 2012 |
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 | 37 | 2018 |
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 | 24 | 2015 |
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 | 20 | 2023 |
Evaluating a new classification method using PCA to human activity recognition B Fergani 2013 International Conference on Computer Medical Applications (ICCMA), 1-4, 2013 | 20 | 2013 |
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 | 19 | 2014 |
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 | 18 | 2018 |
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 | 17 | 2016 |
News schemes for activity recognition systems using PCA-WSVM, ICA-WSVM, and LDA-WSVM MB Abidine, B Fergani Information 6 (3), 505-521, 2015 | 17 | 2015 |
A New Multi-Class WSVM Classification to Imbalanced Human Activity Dataset. BA M'hamed, B Fergani J. Comput. 9 (7), 1560-1565, 2014 | 16 | 2014 |
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 | 14 | 2016 |
RFID tag indoor localization by Fingerprinting methods Z Belhadi, L Fergani, B Fergani, JM Laheurte 2014 4th International Conference on Wireless Communications, Vehicular …, 2014 | 14 | 2014 |
Unsupervised speaker indexing using one-class support vector machines B Fergani, M Davy, A Houacine 2006 14th European Signal Processing Conference, 1-5, 2006 | 13 | 2006 |
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 | 12 | 2015 |
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 | 10 | 2014 |
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 | 10 | 2013 |