Répertoire de publications de recherche en accès libre
Enseignement
Publications et communications
Voici, s'il y a lieu, les documents disponibles dans R-libre, le répertoire de publications de recherche de la TÉLUQ.
Articles de revues avec comité de lecture
Abou-Abbas, Lina; Henni, Khadidja; Jemal, Imene; Mitiche, Amar et Mezghani, Neila (2023). Patient-independent epileptic seizure detection by stable feature selection. Expert Systems with Applications, 232, 120585. https://doi.org/10.1016/j.eswa.2023.120585
Abou-Abbas, Lina; Jemal, Imene; Henni, Khadidja; Ouakrim, Youssef; Mitiche, Amar et Mezghani, Neila (2022). EEG oscillatory power and complexity for epileptic seizure detection. Applied Sciences, 12 (9), 4181. https://doi.org/10.3390/app12094181
Henni, Khadidja; Mezghani, Neila et Mitiche, Amar (2020). Cluster density properties define a graph for effective pattern feature selection. IEEE Access, 8, 62841-62854. https://doi.org/10.1109/ACCESS.2020.2981265
Henni, Khadidja; Mezghani, Neila et Gouin-Vallerand, Charles (2018). Unsupervised graph-based feature selection via subspace and pagerank centrality. Expert Systems with Applications, 114, 46-53. doi: 10.1016/j.eswa.2018.07.029
Henni, Khadidja; Mezghani, Neila; Gouin-Vallerand, Charles; Ruer, Perrine; Ouakrim, Youssef et Vallières, Évelyne F. (2018). Feature selection for driving fatigue characterization and detection using visual- and signal-based sensors. Applied Informatics, 5 (7), 1-15. https://doi.org/10.1186/s40535‑018‑0054‑9
Communications dans des actes avec comité de lecture
Jemal, Imene; Mitiche, Amar; Abou-Abbas, Lina; Henni, Khadidja et Mezghani, Neila (2021). An effective deep neural network architecture for cross-subject epileptic seizure detection in EEG data. Dans Proceedings of CECNet 2021: The 11th International Conference on Electronics, Communications and Networks (CECNet). IOS Press. https://doi.org/10.3233/FAIA210389
Abou-Abbas, Lina; Jemal, Imene; Henni, Khadidja; Mitiche, Amar et Mezghani, Neila (2021). Focal and generalized seizures distinction by rebalancing class data and random forest classification. Dans Bioengineering and Biomedical Signal and Image Processing, vol. 12940 (p. 63-70). Springer. ISBN 978-3-030-88163-4 https://doi.org/10.1007/978-3-030-88163-4_6
Zgolli, Fatma; Henni, Khadidja; Haddad, Rim; Mitiche, Amar; Ouakrim, Youssef; Hagemeister, Nicola; Venditolli, Pascal-André; Fuentes, Alexandre et Mezghani, Neila (2018). Kinematic data clustering for healthy knee gait characterization. Dans Proceedings of the Second Annual IEEE Life Sciences Conference (LSC 2018) (p. 239-242). IEEE. ISBN 978-1-5386-6709-5 https://doi.org/10.1109/LSC.2018.8572119
Henni, Khadidja; Mezghani, Neila; Gouin-Vallerand, Charles; Ruer, Perrine et Vallières, Évelyne F. (2018). Driving Fatigue Characterization using Feature Ranking. Dans 9th International Symposium on Signal, Image, Video and Communications (ISIVC) (p. 209-214). IEEE. ISBN 978-1-5386-8174-9 https://doi.org/10.1109/ISIVC.2018.8709179