| A novel Machine Learning approach for epilepsy diagnosis using EEG signals based on Correlation Dimension Z Brari, S Belghith IFAC-PapersOnLine 54 (17), 7-11, 2021 | 20 | 2021 |
| A novel machine learning model for the detection of epilepsy and epileptic seizures using electroencephalographic signals based on chaos and fractal theories Z Brari, S Belghith Mathematical Problems in Engineering 2021 (1), 2107113, 2021 | 18 | 2021 |
| A new method for the detection of epilepsy and epileptic seizures based on the variance of EEG signals and its derivatives with a simple kernel trick Z Brari, S Belghith 2020 4th International Conference on Advanced Systems and Emergent …, 2020 | 13 | 2020 |
| A new algorithm for Largest Lyapunov Exponent determination for noisy chaotic signal studies with application to Electroencephalographic signals analysis for epilepsy and … Z Brari, S Belghith Chaos, Solitons & Fractals 165, 112757, 2022 | 10 | 2022 |
| A new Machine Learning approach for epilepsy diagnostic based on Sample Entropy Z Brari, S Belghith IFAC-PapersOnLine 54 (15), 346-351, 2021 | 4 | 2021 |
| Higuchi versus Katz fractal dimensions based features extraction method for epilepsy diagnosis using EEG signals Z Brari, I Bouzouita, S Belghith 2024 IEEE 7th International Conference on Advanced Technologies, Signal and …, 2024 | | 2024 |
| A Comparative Study of Derivative-Based and Wavelet-Based Approaches for Epilepsy EEG Analysis Z Brari, I Bouzouita, S Belghith 2024 IEEE 7th International Conference on Advanced Technologies, Signal and …, 2024 | | 2024 |
