Lina Abou-Abbas

According to our database, Lina Abou-Abbas authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Generative AI with WGAN-GP for boosting seizure detection accuracy.

Lina Abou-Abbas, Khadidja Henni, Imene Jemal, Neila Mezghani

Frontiers Artif. Intell., 2024

Domain adaptation for EEG-based, cross-subject epileptic seizure prediction.

Imene Jemal, Lina Abou-Abbas, Khadidja Henni, Amar Mitiche, Neila Mezghani

Frontiers Neuroinformatics, 2024

Imbalance-aware Machine Learning for Epileptic Seizure Detection.

Khadidja Henni, Lina Abou-Abbas, Imene Jemal, Amar Mitiche, Neila Mezghani

Proceedings of the 12th IEEE International Symposium on Signal, 2024

2023

Patient-independent epileptic seizure detection by stable feature selection.

Lina Abou-Abbas, Khadidja Henni, Imene Jemal, Amar Mitiche, Neila Mezghani

Expert Syst. Appl., December, 2023

Analyzing US Airline Customer Sentiment on Twitter using Multinomial Logistic Regression and Feature Reduction.

Lina Abou-Abbas, Khadidja Henni, Imene Jemal, Neila Mezghani

Proceedings of the 7th IEEE Congress on Information Science and Technology, 2023

2022

An Interpretable Deep Learning Classifier for Epileptic Seizure Prediction Using EEG Data.

Imene Jemal, Neila Mezghani, Lina Abou-Abbas, Amar Mitiche

IEEE Access, 2022

2021

An Effective Deep Neural Network Architecture for Cross-Subject Epileptic Seizure Detection in EEG Data.

Imene Jemal, Amar Mitiche, Lina Abou-Abbas, Khadidja Henni, Neila Mezghani

Proceedings of CECNet 2021, 2021

Event Related Potential Analysis Using Machine Learning to Predict Diagnostic Outcome of Autism Spectrum Disorder.

Lina Abou-Abbas, Stefon J. R. van Noordt, Mayada Elsabbagh

Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

Focal and Generalized Seizures Distinction by Rebalancing Class Data and Random Forest Classification.

Lina Abou-Abbas, Imene Jemal, Khadidja Henni, Amar Mitiche, Neila Mezghani

Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

2016

Cry-based infant pathology classification using GMMs.

Hesam Farsaie Alaie, Lina Abou-Abbas, Chakib Tadj

Speech Commun., 2016

2015

Automatic detection of the expiratory and inspiratory phases in newborn cry signals.

Lina Abou-Abbas, Hesam Fersaie Alaie, Chakib Tadj

Biomed. Signal Process. Control., 2015

Segmentation of voiced newborns' cry sounds using wavelet packet based features.

Lina Abou-Abbas, Hesam Fersai Alaei, Chakib Tadj

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015