A Personalized Recommender System Based on a Hybrid Model. - Wedad Hussein; Rasha M. Ismail; Tarek F. Gharib; Mostafa G. M. Mostafa (J. Univers. Comput. Sci., 2013)

An efficient framework based on usage and semantic data for next page prediction. - Wedad Hussein; Tarek F. Gharib; Rasha M. Ismail; Mostafa G. M. Mostafa (Intell. Data Anal., 2015)

A user-concept matrix clustering algorithm for efficient next page prediction. - Wedad Hussein; Tarek F. Gharib; Rasha M. Ismail; Mostafa Gadal-Haqq M. Mostafa (Int. J. Knowl. Web Intell., 2016)

Adopting Non-linear Programming to Select Optimum Privacy Parameters for Multi-parameters Perturbation Algorithm for Data Privacy Improvement in Recommender Systems. - Reham Kamal; Wedad Hussein; Rasha M. Ismail (AISI, 2018)

A Literature Review of Quality Evaluation of Large-Scale Recommendation Systems Techniques. - Hagar ElFiky; Wedad Hussein; Rania El-Gohary (AISI, 2019)

Improving the Data Quality of the MovieLens Dataset Using Dimensionality Reduction Techniques. - Hagar ElFiky; Wedad Hussein; Rania El-Gohary (AICV, 2020)

Spoken Arabic Digits Recognition System Using Convolutional Neural Network. - Mona A. Azim; Wedad Hussein; Nagwa L. Badr (AMLTA, 2021)

Integrating location and textual information for detecting affected people in a crisis. - Esraa Karam; Wedad Hussein; Tarek F. Gharib (Soc. Netw. Anal. Min., 2021)

An Efficient Approach for Mining Reliable High Utility Patterns. - Mohammed A. Fouad; Wedad Hussein; Sherine Rady; Philip S. Yu; Tarek F. Gharib (IEEE Access, 2022)

An Efficient Approach for Rational Next-Basket Recommendation. - Mohammed A. Fouad; Wedad Hussein; Sherine Rady; Philip S. Yu; Tarek F. Gharib (IEEE Access, 2022)

Using Character-Level Sequence-to-Sequence Model for Word Level Text Generation to Enhance Arabic Speech Recognition. - Mona A. Azim; Wedad Hussein; Nagwa L. Badr (IEEE Access, 2023)