Profil

Abidi Afef

Université de Mons - UMONS > Faculté Polytechnique > Service d'Electronique et Microélectronique


Main Referenced Co-authors
Valderrama, Carlos Alberto  (3)
Bedoui, Mohamed Hedi (2)
Nouira, Ibtihel (2)
Assali, Ines (1)
Ben Cheikh, Ridha (1)
Main Referenced Keywords
Computer Networks and Communications (1); Computer Science Applications (1); Control and Systems Engineering (1); Correlation coefficient (1); correlation coefficient (1);
Main Referenced Disciplines
Electrical & electronics engineering (2)
Neurology (1)

Publications (total 3)

The most downloaded
63 downloads
Abidi, A.* , Ben Khalifa, K., Ben Cheikh, R., Valderrama, C. A.* , & Hedi Bedoui, M. (2022). Automatic detection of drowsiness in EEG records based on machine learning approaches. Neural Processing Letters. https://hdl.handle.net/20.500.12907/42652
The most cited
2 citations (OpenCitations)
Abidi, A.* , Nouira, I., Assali, I., Saafi, M. A., Bedoui, M. H., & Valderrama, C. A. (2021). Hybrid Multi-Channel EEG Filtering Method for Ocular and Muscular Artifact Removal Based on the 3D Spline Interpolation Technique. Computer Journal. doi:10.1093/comjnl/bxaa175 https://hdl.handle.net/20.500.12907/42654

Abidi, A.* , Ben Khalifa, K., Ben Cheikh, R., Valderrama, C. A.* , & Hedi Bedoui, M. (2022). Automatic detection of drowsiness in EEG records based on machine learning approaches. Neural Processing Letters.
Editorial reviewed
* These authors have contributed equally to this work.

Abidi, A.* , Nouira, I., Assali, I., Saafi, M. A., Bedoui, M. H., & Valderrama, C. A. (2021). Hybrid Multi-Channel EEG Filtering Method for Ocular and Muscular Artifact Removal Based on the 3D Spline Interpolation Technique. Computer Journal. doi:10.1093/comjnl/bxaa175
Editorial reviewed

Abidi, A.* , Nouira, I., Bedoui, M. H., & Valderrama, C. A. (2019). Parallel Implementation on GPU for EEG Artifact Rejection by Combining FastICA and TQWT. In 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA). IEEE. doi:10.1109/AICCSA.2018.8612838
Peer reviewed

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