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Sahbi Chaibi
Observed names:
Chaibi, Sahbi,
S. Chaibi
Institutions:
University of Sfax,
University of Monastir
Observed institutions:
Lyon 1 Université,
Centre National de la Recherche Scientifique,
University of Sfax,
Inserm,
University of Monastir,
Centre de Recherche en Neurosciences de Lyon
show all 6
ORCID:
0000-0001-9362-3108
Observed ORCID:
0000-0001-9362-3108
OpenAlex ID:
A5023836510
Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines
2015
·
Tarek Lajnef
, Sahbi Chaibi
, et al.
·
Journal of Neuroscience Methods
·
321
Sleep spindle and K-complex detection using tunable Q-factor wavelet transform and morphological component analysis
2015
·
Tarek Lajnef
, Sahbi Chaibi
, et al.
·
Frontiers in Human Neuroscience
·
70
PDF
Automated detection and classification of high frequency oscillations (HFOs) in human intracereberal EEG
2013
·
Sahbi Chaibi
, Zied Sakka
, et al.
·
Biomedical Signal Processing and Control
·
43
A reliable approach to distinguish between transient with and without HFOs using TQWT and MCA
2014
·
Sahbi Chaibi
, Tarek Lajnef
, et al.
·
Journal of Neuroscience Methods
·
30
A Robustness Comparison of Two Algorithms Used for EEG Spike Detection
2015
·
Sahbi Chaibi
, Tarek Lajnef
, et al.
·
The Open Biomedical Engineering Journal
·
21
PDF
A Comparaison of Methods for Detection of High Frequency Oscillations (HFOs) in Human Intacerberal EEG Recordings
2013
·
Sahbi Chaibi
, Tarek Lajnef
, et al.
·
American Journal of Signal Processing
·
19
Detection of High Frequency Oscillations (HFOs) in the 80–500 Hz range in epilepsy recordings using decision tree analysis
2014
·
Sahbi Chaibi
, Tarek Lajnef
, et al.
·
IEEE International Conference on Image Processing, Applications and Systems (IPAS)
·
15
Developement of Matlab-based Graphical User Interface (GUI) for detection of high frequency oscillations (HFOs) in epileptic patients
2012
·
Sahbi Chaibi
, Romain Bouet
, et al.
·
IEEE International Conference on Emerging Signal Processing Applications (ESPA)
·
15
Classification of High Frequency Oscillations in intracranial EEG signals based on coupled time-frequency and image-related features
2021
·
Fatma Krikid
, Ahmad Karfoul
, et al.
·
Biomedical Signal Processing and Control
·
14
PDF
Epileptic EEG patterns recognition through machine learning techniques and relevant time–frequency features
2023
·
Sahbi Chaibi
, Chahira Mahjoub
, et al.
·
Biomedizinische Technik/Biomedical Engineering
·
13
Multi-classification of high-frequency oscillations in intracranial EEG signals based on CNN and data augmentation
2023
·
Fatma Krikid
, Ahmad Karfoul
, et al.
·
Signal Image and Video Processing
·
7
PDF
Epileptic seizure detection using Multivariate Empirical Mode Decomposition and Support Vector Machines
2020
·
Chahira Mahjoub
, Sahbi Chaibi
, et al.
·
IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)
·
6
Detection of Epileptic High Frequency Oscillations Using Support Vector Machines
2020
·
Sahbi Chaibi
, Fatma Krikid
, et al.
·
International Conference on Advanced Technologies for Signal and Image Processing
·
5
Classification of epileptic cerebral activity using robust features and support vector machines
2016
·
Chahira Mahjoub
, Sahbi Chaibi
, et al.
·
IEEE International Conference on Image Processing, Applications and Systems (IPAS)
·
5
A comparative study between three epileptic high frequency oscillations detection strategies
2020
·
Fatma Krikid
, Sahbi Chaibi
, et al.
·
International Multi-Conference on Systems, Signals & Devices (SSD)
·
4
Toward Reliable Models for Distinguishing Epileptic High-Frequency Oscillations (HFOs) from Non-HFO Events Using LSTM and Pre-Trained OWL-ViT Vision–Language Framework
2025
·
Sahbi Chaibi
, Abdennaceur Kachouri
·
AI
·
3
PDF
EEG-based cognitive fatigue recognition using relevant multi-domain features and machine learning
2024
·
Sahbi Chaibi
, Chahira Mahjoub
, et al.
·
Elsevier eBooks
·
3
Pitfalls of spikes filtering for detecting High Frequency Oscillations (HFOs)
2021
·
Sahbi Chaibi
, Chahira Mahjoub
, et al.
·
International Multi-Conference on Systems, Signals & Devices (SSD)
·
3
Multilayer perceptron approach for determining the centroid position of the electromagnetic shower in laterally segmented calorimeter
2025
·
W. Hamdi
, M. Mazouz
, et al.
·
Journal of Instrumentation
·
2
Interactive interface for spatio-temporal mapping of epileptic human brain using characteristics of high frequency oscillations (HFOs)
2023
·
Sahbi Chaibi
, Chahira Mahjoub
, et al.
·
Biomedical Signal Processing and Control
·
2
Epileptogenic zone localization based on partial directed coherence and graph analysis: a case study
2022
·
Chahira Mahjoub
, Sahbi Chaibi
, et al.
·
Signal Image and Video Processing
·
2
Comparison of granger causality measures to detect effective connectivity in the context of epilepsy
2017
·
C. Mahjoub
, S. Chaibi
, et al.
·
International Conference on Smart, Monitored and Controlled Cities (SM2C)
·
2
Investigation of nonlinear granger causality in the context of epilepsy
2017
·
C. Mahjoub
, J. J. Bellanger
, et al.
·
European Signal Processing Conference (EUSIPCO)
·
1
Separation of transient and oscillatory cereberal activities using over-complete rational dilation wavelt transforms
2011
·
Sahbi Chaibi
, Tarek Lajnef
, et al.
·
International Multi-Conference on Systems, Signals & Devices (SSD)
·
1
Sparse Stacked Autoencoders for Epileptic Seizure Prediction Using ECG Signals
2025
·
Chahira Mahjoub
, Sahbi Chaibi
, et al.
·
Lecture notes in networks and systems
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Works count:
28
Citation count:
610
H-index:
10
I10-index:
10
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