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Bilal M'hamed Abidine
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2020 – today
- 2024
- [c8]Fatma Zohra Tassadit Ait Mesbah, M'hamed Bilal Abidine, Belkacem Fergani:
Prediction of Chronic Diseases Using Parallel 1D-CNN Feature Extraction and SVM Classification Based on SMOTE. ISPR (2) 2024: 69-84 - 2023
- [c7]M'hamed Bilal Abidine
:
Multicarrier Waveforms Classification with LDA and CNN for 5G. ISPR (2) 2023: 214-222 - 2021
- [j7]M'hamed Bilal Abidine
Activity recognition from smartphone data using weighted learning methods. Intelligenza Artificiale 15(1): 1-15 (2021) - [j6]M'hamed Bilal Abidine, Belkacem Fergani:
Activity Recognition From Smartphone Data Using WSVM-HMM Classification. Int. J. E Health Medical Commun. 12(6): 1-20 (2021) - 2020
- [c6]M'hamed Bilal Abidine
Human Activities Recognition in Android Smartphone Using WSVM-HMM Classifier. ICOST 2020: 386-394
2010 – 2019
- 2019
- [c5]Bilal M'hamed Abidine
Activity Recognition from Smartphones Using Hybrid Classifier PCA-SVM-HMM. WINCOM 2019: 1-5 - 2018
- [j5]Bilal M'hamed Abidine, Lamya Fergani, Belkacem Fergani
The joint use of sequence features combination and modified weighted SVM for improving daily activity recognition. Pattern Anal. Appl. 21(1): 119-138 (2018) - [c4]Ihssene Menhour, M'hamed Bilal Abidine, Belkacem Fergani:
A New Framework Using PCA, LDA and KNN-SVM to Activity Recognition Based SmartPhone's Sensors. ICMCS 2018: 1-5 - 2017
- [c3]Bilal M'hamed Abidine
Integrating Prior Knowledge in Weighted SVM for Human Activity Recognition in Smart Home. ICOST 2017: 233-239 - 2015
- [j4]Bilal M'hamed Abidine
Improving Human Activity Recognition in Smart Homes. Int. J. E Health Medical Commun. 6(3): 19-37 (2015) - [j3]Bilal M'hamed Abidine
News Schemes for Activity Recognition Systems Using PCA-WSVM, ICA-WSVM, and LDA-WSVM. Inf. 6(3): 505-521 (2015) - 2014
- [j2]M'hamed B. Abidine, Belkacem Fergani:
A New Multi-Class WSVM Classification to Imbalanced Human Activity Dataset. J. Comput. 9(7): 1560-1565 (2014) - [j1]Bilal M'hamed Abidine, Belkacem Fergani, Mourad Oussalah
A new classification strategy for human activity recognition using cost sensitive support vector machines for imbalanced data. Kybernetes 43(8): 1150-1164 (2014) - [c2]M'hamed Bilal Abidine, Nawel Yala, Belkacem Fergani, Laurent Clavier
Soft margin SVM modeling for handling imbalanced human activity datasets in multiple homes. ICMCS 2014: 421-426 - 2012
- [c1]M'hamed Bilal Abidine, Belkacem Fergani:
Evaluating C-SVM, CRF and LDA classification for daily activity recognition. ICMCS 2012: 272-277
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