A Platform for Investigating Effectiveness for Static, Adaptable, Adaptive, and Mixed-Initiative Environments in e-Commerce. - Khalid Al-Omar; Dimitris I. Rigas (ICE-B, 2008)

Comparison of Adaptive, Adaptable and Mixed-Initiative Menus. - Khalid Al-Omar; Dimitris I. Rigas (CW, 2009)

Sentiment Analysis of Arabic Tweets in e-Learning. - Hamed Al-Rubaiee; Renxi Qiu; Khalid Al-Omar; Dayou Li (J. Comput. Sci., 2016)

Developing a Web Credibility Evaluation Tool Using PROMETHEE Method. - Mona Alghamdi; Khalid Alomar (Comput. Inf. Sci., 2019)

Defense in Depth: Multilayer of security. - Raed A. Alsaqour; Ahmed Majrashi; Mohammed Alreedi; Khalid Alomar; Maha S. Abdelhaq (Int. J. Commun. Networks Inf. Secur., 2022)

Enhancing Arabic-text feature extraction utilizing label-semantic augmentation in few/zero-shot learning. - Seham Basabain; Erik Cambria; Khalid Alomar; Amir Hussain 001 (Expert Syst. J. Knowl. Eng., 2023)

ArMT-TNN: Enhancing natural language understanding performance through hard parameter multitask learning in Arabic. - Ali Alkhathlan; Khalid Alomar (Int. J. Knowl. Based Intell. Eng. Syst., 2024)

A Weighted Composite Metric for Evaluating User Experience in Educational Chatbots: Balancing Usability, Engagement, and Effectiveness. - Abeer Alabbas; Khalid Alomar (Future Internet, 2025)

Arabic Short-Text Dataset for Sentiment Analysis of Tourism and Leisure Events. - Seham Basabain; Ahmed Yassin Al-Dubai; Erik Cambria; Khalid Alomar; Amir Hussain 001 (Expert Syst. J. Knowl. Eng., 2025)