Trabelsi, I., Hérault, R., Baillet, H., Thouvarecq, R., Seifert, L., Gasso, G. (2024). Postural regulation and signal segmentation using clustering with TV regularization approach. Biomedical Signal Processing and Control, 99 (2025): 106808. 

Trabelsi, I., Bellik Y., Françoise J. (2022). Sensor-based Activity Recognition using Deep Learning : A Comparative Study. 8th International Conference on Movement and Computing Conference: 22-25 June 2022, Chicago, Illinois, USA.

Trabelsi, I., Hérault, R., Baillet, H., Thouvarecq, R., Seifert, L., Gasso, G. (2022). Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach. Computers in Biology and Medicine.

Trabelsi, F.S., Perotto, U., Malik (2021). Training Universal Background Models with Restricted Data for Speech Emotion Recognition. Journal of Ambient Intelligence and Humanized Computing.

 Perotto, F. S., Trabelsi, I., Combettes, S., Camps, V., Verstaevel, N. (2021). Deciding when to quit the gambler’s ruin game with unknown probabilities—International Journal of Approximate Reasoning.

Perotto, F. S., Verstaevel, N., Trabelsi, I., & Vercouter, L. (2020, December). Combining bandits and lexical analysis for document retrieval in a juridical corpora. In International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 317-330). Cham: Springer International Publishing.

Trabelsi, I., Ben Ayed, D., Ellouze, N. (2018). Evaluation of Influence of Arousal-Valence Primitives on Speech Emotion Recognition. Arab Journal of Information Technology (IAJIT), 15(5), September 2018.

Trabelsi, I., Bouhlel, M.S. (2018). Learning vector quantization for adapted gaussian mixture models in automatic speaker identification. Journal of Engineering Science and Technology (JESTEC), 12(5), 1153-1164.

 Trabelsi, I., Bouhlel, M.S., Nilanjan, D. (2017). Discrete and continuous emotion recognition using sequence kernels. International Journal of Intelligent Engineering Informatics, 5(3), 194-205.

 Ben Ammar, Y., Trabelsi, I., Nilanjan, D., Fuqian, S., Satapathy, S. Bouhlel M.S. (2017). Robust watermarking of polygonal meshes based on vertex norms variance distortion. Journal of Global Information Management (JGIM), 25(4), 46-60. 

Imen Trabelsi, Med Salim Bouhlel (2016). Feature Selection for GUMI Kernel-Based SVM in Speech Emotion Recognition, International Journal of Synthetic Emotions,  6(2),  57–68

Rimah Amami, Imen Trabelsi, Noureddine Ellouze (2016). Possibilistic support vector machines for automatic phoneme recognition. ATSIP 2016: 627-630.

Imen Trabelsi, Rimah Amami, Noureddine Ellouze. Automatic emotion recognition using generative and discriminative classifiers in the GMM mean space. ATSIP 2016: 767-770