| Cry-based infant pathology classification using GMMs HF Alaie, L Abou-Abbas, C Tadj Speech communication 77, 28-52, 2016 | 79 | 2016 |
| Automatic detection of the expiratory and inspiratory phases in newborn cry signals L Abou-Abbas, HF Alaie, C Tadj Biomedical signal processing and control 19, 35-43, 2015 | 43 | 2015 |
| A fully automated approach for baby cry signal segmentation and boundary detection of expiratory and inspiratory episodes L Abou-Abbas, C Tadj, HA Fersaie The Journal of the Acoustical Society of America 142 (3), 1318-1331, 2017 | 35 | 2017 |
| Expiratory and inspiratory cries detection using different signals' decomposition techniques L Abou-Abbas, C Tadj, C Gargour, L Montazeri Journal of voice 31 (2), 259. e13-259. e28, 2017 | 35 | 2017 |
| An interpretable deep learning classifier for epileptic seizure prediction using EEG data I Jemal, N Mezghani, L Abou-Abbas, A Mitiche IEEE Access 10, 60141-60150, 2022 | 29 | 2022 |
| EEG-IP: an international infant EEG data integration platform for the study of risk and resilience in autism and related conditions S van Noordt, JA Desjardins, S Huberty, L Abou-Abbas, SJ Webb, ... Molecular Medicine 26, 1-11, 2020 | 24 | 2020 |
| EEG oscillatory power and complexity for epileptic seizure detection L Abou-Abbas, I Jemal, K Henni, Y Ouakrim, A Mitiche, N Mezghani Applied Sciences 12 (9), 4181, 2022 | 14 | 2022 |
| On the use of EMD for automatic newborn cry segmentation L Abou-Abbas, L Montazeri, C Gargour, C Tadj 2015 International Conference on Advances in Biomedical Engineering (ICABME …, 2015 | 12 | 2015 |
| Segmentation of voiced newborns' cry sounds using wavelet packet based features L Abou-Abbas, HF Alaei, C Tadj 2015 ieee 28th canadian conference on electrical and computer engineering …, 2015 | 9 | 2015 |
| Use of empirical mode decomposition in ERP analysis to classify familial risk and diagnostic outcomes for autism spectrum disorder L Abou-Abbas, S van Noordt, JA Desjardins, M Cichonski, M Elsabbagh Brain Sciences 11 (4), 409, 2021 | 8 | 2021 |
| Body image dissatisfaction and psychological distress among adults with excessive body weight L Abou Abbas, Z Nasser, P Salameh, Z Mansour, L Abou Abbas, ... International journal of health science and research 8 (4), 3-10, 2018 | 6 | 2018 |
| An effective deep neural network architecture for cross-subject epileptic seizure detection in EEG data I Jemal, A Mitiche, L Abou-Abbas, K Henni, N Mezghani Proceedings of CECNet 2021, 54-62, 2021 | 5 | 2021 |
| Focal and generalized seizures distinction by rebalancing class data and random forest classification L Abou-Abbas, I Jemal, K Henni, A Mitiche, N Mezghani Bioengineering and Biomedical Signal and Image Processing: First …, 2021 | 5 | 2021 |
| Patient-independent epileptic seizure detection by stable feature selection L Abou-Abbas, K Henni, I Jemal, A Mitiche, N Mezghani Expert Systems with Applications 232, 120585, 2023 | 4 | 2023 |
| Domain adaptation for EEG-based, cross-subject epileptic seizure prediction I Jemal, L Abou-Abbas, K Henni, A Mitiche, N Mezghani Frontiers in Neuroinformatics 18, 1303380, 2024 | 3 | 2024 |
| Bioengineering and Biomedical Signal and Image Processing: First International Conference, BIOMESIP 2021, Meloneras, Gran Canaria, Spain, July 19-21, 2021, Proceedings I Rojas, D Castillo-Secilla, LJ Herrera, H Pomares Springer Nature, 2021 | 2 | 2021 |
| Event related potential analysis using machine learning to predict diagnostic outcome of autism spectrum disorder L Abou-Abbas, S van Noordt, M Elsabbagh Bioengineering and Biomedical Signal and Image Processing: First …, 2021 | 1 | 2021 |
| Imbalance-aware Machine Learning for Epileptic Seizure Detection K Henni, L Abou-Abbas, I Jmal, A Mitiche, N Mezghani 2024 IEEE 12th International Symposium on Signal, Image, Video and …, 2024 | | 2024 |
| QUANTITATIVE EEG DATA ANALYSIS USING SUPERVISED MACHINE LEARNING: CLASSIFICATION OF HIGH AND LOW RISK FOR AUTISM SPECTRUM DISORDER L Abou-Abbas, M Elsabbagh, R Bruno, S Huberty PSYCHOPHYSIOLOGY 55, S128-S128, 2018 | | 2018 |
| Segmentation automatique des cris des nouveau-nés en vue du dépistage précoce des problèmes neurophysiologiques L Abou-Abbas École de technologie supérieure, 2016 | | 2016 |
