Evaluating C-SVM, CRF and LDA classification for daily activity recognition. - M'hamed Bilal Abidine; Belkacem Fergani (ICMCS, 2012)

Soft margin SVM modeling for handling imbalanced human activity datasets in multiple homes. - M'hamed Bilal Abidine; Nawel Yala; Belkacem Fergani; Laurent Clavier (ICMCS, 2014)

A New Multi-Class WSVM Classification to Imbalanced Human Activity Dataset. - M'hamed B. Abidine; Belkacem Fergani (J. Comput., 2014)

A new classification strategy for human activity recognition using cost sensitive support vector machines for imbalanced data. - Bilal M'hamed Abidine; Belkacem Fergani; Mourad Oussalah 002; Lamya Fergani (Kybernetes, 2014)

Improving Human Activity Recognition in Smart Homes. - Bilal M'hamed Abidine; Lamya Fergani; Belkacem Fergani; Anthony Fleury (Int. J. E Health Medical Commun., 2015)

News Schemes for Activity Recognition Systems Using PCA-WSVM, ICA-WSVM, and LDA-WSVM. - Bilal M'hamed Abidine; Belkacem Fergani (Inf., 2015)

Integrating Prior Knowledge in Weighted SVM for Human Activity Recognition in Smart Home. - Bilal M'hamed Abidine; Belkacem Fergani; Anthony Fleury (ICOST, 2017)

A New Framework Using PCA, LDA and KNN-SVM to Activity Recognition Based SmartPhone's Sensors. - Ihssene Menhour; M'hamed Bilal Abidine; Belkacem Fergani (ICMCS, 2018)

The joint use of sequence features combination and modified weighted SVM for improving daily activity recognition. - Bilal M'hamed Abidine; Lamya Fergani; Belkacem Fergani; Mourad Oussalah 002 (Pattern Anal. Appl., 2018)

Activity Recognition from Smartphones Using Hybrid Classifier PCA-SVM-HMM. - Bilal M'hamed Abidine; Belkacem Fergani; Ihssene Menhour (WINCOM, 2019)

Human Activities Recognition in Android Smartphone Using WSVM-HMM Classifier. - M'hamed Bilal Abidine; Belkacem Fergani (ICOST, 2020)

Activity recognition from smartphone data using weighted learning methods. - M'hamed Bilal Abidine; Belkacem Fergani (Intelligenza Artificiale, 2021)

Activity Recognition From Smartphone Data Using WSVM-HMM Classification. - M'hamed Bilal Abidine; Belkacem Fergani (Int. J. E Health Medical Commun., 2021)

KDA-Based WKNN-SVM Method for Activity Recognition System From Smartphone Data. - Ihssene Menhour; M'hamed Bilal Abidine; Belkacem Fergani; Hakim Lounis (Int. J. Softw. Innov., 2021)

Multicarrier Waveforms Classification with LDA and CNN for 5G. - M'hamed Bilal Abidine (ISPR (2), 2023)

Prediction of Chronic Diseases Using Parallel 1D-CNN Feature Extraction and SVM Classification Based on SMOTE. - Fatma Zohra Tassadit Ait Mesbah; M'hamed Bilal Abidine; Belkacem Fergani (ISPR (2), 2024)

DeepF-SVM: A new hybrid deep learning model for enhanced sensor-based human activity recognition. - Imene Charabi; M'hamed Bilal Abidine; Belkacem Fergani; Mourad Oussalah 002 (Clust. Comput., 2025)