Malak Abdullah and Samira Shaikh. “TeamUNCC at SemEval-2018 Task 1: Affect and Emotion Recognition and Detection in English and Arabic Tweets using Neural Approaches”, Accepted paper in SemEval-2018 International Workshop on Semantic Evaluation.
Malak Abdullah and Mirsad Hadzikadic. “Sentiment Analysis of Twitter Data: Emotions Revealed Regarding Donald Trump during the 2015-16 Primary Debates”, Accepted paper in The IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).
Malak Abdullah, and Mirsad Hadzikadic. "Sentiment Analysis on Arabic Tweets: Challenges to Dissecting the Language." In International Conference on Social Computing and Social Media, pp. 191-202. Springer, Cham, 2017.
ElTayeby Omar, Todd Eaglin, Malak Abdullah, David Burlinson, Wenwen Dou, and Lixia Yao. "Detecting Drinking-Related Contents on Social Media by Classifying Heterogeneous Data Types." In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, pp. 364-373. Springer, Cham, 2017.
M. Abdullah, E. Abuelrub, and B. Mahafzah, "The Chained-Cubic Tree: A New Interconnection Network, " The International Arab Journal of Information Technology (IAJIT), vol. 8, no. 3, Jul. 2011.
M. Abdullah, (2007). The Chained-Cubic Tree: A New Interconnection Network (Master Thesis). Jordan University of Science and Technology, Irbid, Jordan.