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2020 – today
- 2023
[j3]Nesrine Kadri, Ameni Ellouze, Mohamed Ksantini
, Sameh Hbaieb Turki:
New LSTM Deep Learning Algorithm for Driving Behavior Classification. Cybern. Syst. 54(4): 387-405 (2023)- [j2]Nesrine Kadri, Sihem Jebari, Xavier Augusseau, Naceur Mahdhi, Guillaume Lestrelin, Ronny Berndtsson:
Analysis of Four Decades of Land Use and Land Cover Change in Semiarid Tunisia Using Google Earth Engine. Remote. Sens. 15(13): 3257 (2023) - 2022
- [c3]Nesrine Kadri, Sameh Hbaieb Turki, Ameni Ellouze, Mohamed Ksantini:
An Hybrid Deep Learning Approach for Prediction and Binary Classification of Student's Stress. ISPR 2022: 315-326 - 2020
- [j1]Mohamed Ksantini, Nesrine Kadri, Ameni Ellouze, Sameh Hbaieb Turki:
Artificial Intelligence Prediction Algorithms for Future Evolution of COVID-19 Cases. Ingénierie des Systèmes d Inf. 25(3): 319-325 (2020) - [c2]Nesrine Kadri, Ameni Ellouze, Mohamed Ksantini:
Fusion of classifiers based on physical activities data from smartphone user. SSD 2020: 903-908
2010 – 2019
- 2017
- [c1]Raja Bensalem Bahloul, Nesrine Kadri, Kais Haddar, Philippe Blache:
Evaluation and Enrichment of Stanford Parser Using an Arabic Property Grammar. CICLing (1) 2017: 170-182
Coauthor Index
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