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Alaa A. Qaffas
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2020 – today
- 2023
- [j10]Alaa A. Qaffas, Amira M. Idrees, Ayman E. Khedr, Sherif A. Kholeif:
A Smart Testing Model Based on Mining Semantic Relations. IEEE Access 11: 30237-30246 (2023) - [j9]Alaa A. Qaffas, Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben Ncir, Olfa Nasraoui:
Interpretable Multi-Criteria ABC Analysis Based on Semi-Supervised Clustering and Explainable Artificial Intelligence. IEEE Access 11: 43778-43792 (2023) - [j8]Alaa A. Qaffas, Ibraheem Mubarak Alharbi, Amira M. Idrees, Sherif A. Kholeif:
A Proposed Framework for Student's Skills-Driven Personalization of Cloud-Based Course Content. Int. J. Softw. Eng. Knowl. Eng. 33(4): 603-617 (2023) - [j7]Chiheb-Eddine Ben Ncir, Mohamed Ben Mzoughia, Alaa A. Qaffas, Waad Bouaguel:
Evolutionary multi-objective customer segmentation approach based on descriptive and predictive behaviour of customers: application to the banking sector. J. Exp. Theor. Artif. Intell. 35(8): 1201-1223 (2023) - [j6]Alaa A. Qaffas, Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben Ncir, Olfa Nasraoui:
An Explainable Artificial Intelligence Approach for Multi-Criteria ABC Item Classification. J. Theor. Appl. Electron. Commer. Res. 18(2): 848-866 (2023) - [j5]Alaa A. Qaffas, Shoaib Kamal, Farrukh Sayeed, Papiya Dutta, Shubham Joshi, Ibrahim Alhassan:
Adaptive population-based multi-objective optimization in SDN controllers for cost optimization. Phys. Commun. 58: 102006 (2023) - [j4]Alaa A. Qaffas:
Optimized Back Propagation Neural Network Using Quasi-Oppositional Learning-Based African Vulture Optimization Algorithm for Data Fusion in Wireless Sensor Networks. Sensors 23(14): 6261 (2023) - 2021
- [c10]Bader A. Alyoubi, Alaa A. Qaffas, Abed S. Alsahli, Ibrahim Alhassan, Taha M. Mohamed:
Living with COVID-19: A Data Mining Approach for Social Media Learning. AMLTA 2021: 3-11 - 2020
- [j3]Alaa A. Qaffas:
An Operational Study of Video Games' Genres. Int. J. Interact. Mob. Technol. 14(15): 175-194 (2020) - [j2]Alaa A. Qaffas, Kaouther Kaabi, Rustam Shadiev, Fathi Essalmi:
Towards an optimal personalization strategy in MOOCs. Smart Learn. Environ. 7(1): 14 (2020) - [c9]Sanda Hammedi, Fathi Essalmi, Mohamed Jemni, Alaa A. Qaffas:
An investigation of AI in games: educational intelligent games vs non-educational games. OCTA 2020: 1-4 - [c8]Kaouther Kaabi, Fathi Essalmi, Mohamed Jemni, Alaa A. Qaffas:
Personalization of MOOCs for increasing the retention rate of learners. OCTA 2020: 1-5
2010 – 2019
- 2019
- [c7]Aymen Ghannem, Mohamed Ali Khenissi, Fathi Essalmi, Alaa A. Qaffas:
Educational Computer Game for learning History: Impact on learners' level of knowledge and learners' satisfaction. ICTA 2019: 1-6 - [c6]Rabiaa Mejbri, Fathi Essalmi, Alaa A. Qaffas:
Towards modeling the learner's concentration in e-learning environments. ICTA 2019: 1-6 - 2018
- [j1]Alaa A. Qaffas, Alexandra I. Cristea, Mohamed A. Mead:
Lightweight Adaptive E-Advertising Model. J. Univers. Comput. Sci. 24(7): 935-974 (2018) - 2016
- [c5]Alaa A. Qaffas, Alexandra I. Cristea:
An Adaptive e-Advertising Delivery Model: The AEADS Approach. ICE-B 2016: 124-131 - 2015
- [c4]Alaa A. Qaffas, Alexandra I. Cristea:
An Adaptive E-Advertising User Model: The AEADS Approach. ICE-B 2015: 5-14 - [c3]Alaa A. Qaffas, Alexandra I. Cristea:
Large Scale Evaluation of an Adaptive E-Advertising User Model. ICETE (Selected Papers) 2015: 137-157 - 2014
- [c2]Alaa A. Qaffas, Alexandra I. Cristea:
How to Create an E-Advertising Adaptation Strategy: The AEADS Approach. EC-Web 2014: 171-178 - 2013
- [c1]Lei Shi, Dana Al Qudah, Alaa A. Qaffas, Alexandra I. Cristea:
Topolor: A Social Personalized Adaptive E-Learning System. UMAP 2013: 338-340
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