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ORCIDMay Y. Al-Nashashibi
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2020 – today
- 2024
[j4]May Y. Al-Nashashibi
, Nuha El-Khalili, Wa'el Hadi, Abedal-Kareem Al-Banna, Ghassan Issa:
Identifying the Most Significant Features for Stress Prediction of Automobile Drivers: A Comprehensive Study. J. Inf. Knowl. Manag. 23(2): 2350064:1-2350064:53 (2024)- [c2]May Y. Al-Nashashibi, Mohammad Alauthman, Wael Hadi:
Machine Learning for Enhanced Autism Screening: A Comparative Evaluation of Classification Algorithms. ICCR 2024: 1-7 - [c1]Nuha El-Khalili, May Y. Al-Nashashibi, Salam Al-E'mari:
The Impact of Generative Artificial Intelligence on Learning: A Case Study at the University of Petra. ICCR 2024: 1-6 - 2021
- [j3]May Y. Al-Nashashibi, Wa'el Hadi, Nuha El-Khalili, Ghassan Issa, Abed Alkarim AlBanna:
A new two-step ensemble learning model for lmproving stress prediction of automobile drivers. Int. Arab J. Inf. Technol. 18(6): 819-829 (2021)
2010 – 2019
- 2019
- [j2]Wa'el Hadi, Nuha El-Khalili, May Y. Al-Nashashibi, Ghassan Issa, Abed Alkarim AlBanna:
Application of data mining algorithms for improving stress prediction of automobile drivers: A case study in Jordan. Comput. Biol. Medicine 114 (2019) - [j1]Nuha El-Khalili, May Y. Al-Nashashibi, Wael Hadi, Abed Alkarim Banna, Ghassan Issa:
Data Engineering for Affective Understanding Systems. Data 4(2): 52 (2019)
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