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2020 – today
- 2023
[j7]Mona A. Azim
, Wedad Hussein, Nagwa L. Badr:
Using Character-Level Sequence-to-Sequence Model for Word Level Text Generation to Enhance Arabic Speech Recognition. IEEE Access 11: 91173-91183 (2023)- 2022
- [j6]Mohammed A. Fouad, Wedad Hussein, Sherine Rady, Philip S. Yu, Tarek F. Gharib:
An Efficient Approach for Mining Reliable High Utility Patterns. IEEE Access 10: 1419-1431 (2022) - [j5]Mohammed A. Fouad, Wedad Hussein, Sherine Rady, Philip S. Yu, Tarek F. Gharib:
An Efficient Approach for Rational Next-Basket Recommendation. IEEE Access 10: 75657-75671 (2022) - 2021
- [j4]Esraa Karam, Wedad Hussein, Tarek F. Gharib:
Integrating location and textual information for detecting affected people in a crisis. Soc. Netw. Anal. Min. 11(1): 5 (2021) - [c4]Mona A. Azim, Wedad Hussein, Nagwa L. Badr:
Spoken Arabic Digits Recognition System Using Convolutional Neural Network. AMLTA 2021: 164-172 - 2020
- [c3]Hagar ElFiky, Wedad Hussein, Rania El-Gohary:
Improving the Data Quality of the MovieLens Dataset Using Dimensionality Reduction Techniques. AICV 2020: 543-552
2010 – 2019
- 2019
- [c2]Hagar ElFiky, Wedad Hussein, Rania El-Gohary:
A Literature Review of Quality Evaluation of Large-Scale Recommendation Systems Techniques. AISI 2019: 653-662 - 2018
- [c1]Reham Kamal, Wedad Hussein, Rasha M. Ismail:
Adopting Non-linear Programming to Select Optimum Privacy Parameters for Multi-parameters Perturbation Algorithm for Data Privacy Improvement in Recommender Systems. AISI 2018: 603-613 - 2016
- [j3]Wedad Hussein, Tarek F. Gharib, Rasha M. Ismail, Mostafa Gadal-Haqq M. Mostafa:
A user-concept matrix clustering algorithm for efficient next page prediction. Int. J. Knowl. Web Intell. 5(3): 208-229 (2016) - 2015
- [j2]Wedad Hussein, Tarek F. Gharib, Rasha M. Ismail, Mostafa G. M. Mostafa:
An efficient framework based on usage and semantic data for next page prediction. Intell. Data Anal. 19(6): 1377-1389 (2015) - 2013
- [j1]Wedad Hussein, Rasha M. Ismail, Tarek F. Gharib, Mostafa G. M. Mostafa:
A Personalized Recommender System Based on a Hybrid Model. J. Univers. Comput. Sci. 19(15): 2224-2240 (2013)
Coauthor Index
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