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2020 – today
- 2023
[j2]Maher Jebali
, Abdesselem Dakhli, Wided Bakari:
Deep Learning-Based Sign Language Recognition System for Cognitive Development. Cogn. Comput. 15(6): 2189-2201 (2023)- [c6]Abdesselem Dakhli, Maher Jebali, Chokri Ben Amar:
Approximation of functions by a wavelet neural network built using a hybrid approach based on the genetic algorithm and the Gram-Schmidt Selection method. KES 2023: 1083-1093 - 2021
- [j1]Maher Jebali, Abdesselem Dakhli, Mohammed Jemni:
Vision-based continuous sign language recognition using multimodal sensor fusion. Evol. Syst. 12(4): 1031-1044 (2021) - 2020
- [c5]Abdesselem Dakhli, Maher Jbeli, Chokri Ben Amar:
Functions Approximation using Multi Library Wavelets and Least Trimmed Square (LTS) Method. ICEIS (1) 2020: 468-477
2010 – 2019
- 2014
- [c4]Maher Jebali, Patrice Dalle, Mohamed Jemni:
Sign Language Recognition System Based on Prediction in Human-Computer Interaction. HCI (27) 2014: 565-570 - [c3]Maher Jebali, Patrice Dalle, Mohamed Jemni:
Efficient Tracking Method to Make a Real Time Sign Language Recognition System. ICCHP (2) 2014: 454-457 - 2013
- [c2]Maher Jebali, Patrice Dalle, Mohamed Jemni:
Towards sign language recognition system in Human-Computer interactions. ICTA 2013: 1-3 - [i1]Maher Jebali, Patrice Dalle, Mohamed Jemni:
Extension of hidden markov model for recognizing large vocabulary of sign language. CoRR abs/1304.3265 (2013) - 2012
- [c1]Yosra Bouzid, Maher Jbali, Oussama El Ghoul, Mohamed Jemni:
Towards a 3D Signing Avatar from SignWriting Notation. ICCHP (2) 2012: 229-236
Coauthor Index
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