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2020 – today
- 2024
[j6]Imene Jemal, Lina Abou-Abbas, Khadidja Henni, Amar Mitiche, Neila Mezghani:
Domain adaptation for EEG-based, cross-subject epileptic seizure prediction. Frontiers Neuroinformatics 18 (2024)- [j5]Lina Abou-Abbas, Khadidja Henni, Imene Jemal, Neila Mezghani:
Generative AI with WGAN-GP for boosting seizure detection accuracy. Frontiers Artif. Intell. 7 (2024) - [c6]Khadidja Henni, Lina Abou-Abbas, Imene Jemal, Amar Mitiche, Neila Mezghani:
Imbalance-aware Machine Learning for Epileptic Seizure Detection. ISIVC 2024: 1-5 - 2023
- [j4]Lina Abou-Abbas
, Khadidja Henni, Imene Jemal, Amar Mitiche, Neila Mezghani:
Patient-independent epileptic seizure detection by stable feature selection. Expert Syst. Appl. 232: 120585 (2023) - [c5]Lina Abou-Abbas, Khadidja Henni, Imene Jemal, Neila Mezghani:
Analyzing US Airline Customer Sentiment on Twitter using Multinomial Logistic Regression and Feature Reduction. CiSt 2023: 265-270 - 2022
- [j3]Imene Jemal, Neila Mezghani, Lina Abou-Abbas, Amar Mitiche:
An Interpretable Deep Learning Classifier for Epileptic Seizure Prediction Using EEG Data. IEEE Access 10: 60141-60150 (2022) - 2021
- [c4]Lina Abou-Abbas, Imene Jemal, Khadidja Henni, Amar Mitiche, Neila Mezghani:
Focal and Generalized Seizures Distinction by Rebalancing Class Data and Random Forest Classification. BIOMESIP 2021: 63-70 - [c3]Lina Abou-Abbas, Stefon J. R. van Noordt, Mayada Elsabbagh:
Event Related Potential Analysis Using Machine Learning to Predict Diagnostic Outcome of Autism Spectrum Disorder. BIOMESIP 2021: 71-79 - [c2]Imene Jemal, Amar Mitiche, Lina Abou-Abbas, Khadidja Henni, Neila Mezghani:
An Effective Deep Neural Network Architecture for Cross-Subject Epileptic Seizure Detection in EEG Data. CECNet 2021: 54-62
2010 – 2019
- 2016
- [j2]Hesam Farsaie Alaie, Lina Abou-Abbas, Chakib Tadj:
Cry-based infant pathology classification using GMMs. Speech Commun. 77: 28-52 (2016) - 2015
- [j1]Lina Abou-Abbas, Hesam Fersaie Alaie, Chakib Tadj:
Automatic detection of the expiratory and inspiratory phases in newborn cry signals. Biomed. Signal Process. Control. 19: 35-43 (2015) - [c1]Lina Abou-Abbas, Hesam Fersai Alaei, Chakib Tadj:
Segmentation of voiced newborns' cry sounds using wavelet packet based features. CCECE 2015: 796-800
Coauthor Index
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