Dr. Malak A. Abdullah

Shatnawi, F., Abdullah, M., Hammad, M. and Al-Ayyoub, M., 2022. Comprehensive study of pre-trained language models: detecting humor in news headlines. Soft Computing, pp.1-25.

Abdullah, M., Alnore, D., Swedat, S., Khrais, J. and Al-Ayyoub, M., 2022, July. SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic Languages. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (pp. 1025-1030).

Habash, M., Daqour, Y., Abdullah, M. and Al-Ayyoub, M., 2022, July. YMAI at SemEval-2022 Task 5: Detecting Misogyny in Memes using VisualBERT and MMBT MultiModal Pre-trained Models. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (pp. 780-784).

Makahleh, M., Yaseen, N.B. and Abdullah, M., 2022, July. JUST-DEEP at SemEval-2022 Task 4: Using Deep Learning Techniques to Reveal Patronizing and Condescending Language. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (pp. 308-312).

Ali, H.H., Abdullah, M. & Wedyan, M. Application of machine learning techniques to predict patient’s satisfaction of indoor environmental quality in Jordanian hospitals. J Ambient Intell Human Comput (2022). https://doi.org/10.1007/s12652-022-04021-6

Abdullah, M., Altiti, O., & Obiedat, R. (2022, June). Detecting Propaganda Techniques in English News Articles using Pre-trained Transformers. In 2022 13th International Conference on Information and Communication Systems (ICICS) (pp. 301-308). IEEE.

Gharaibeh, M., Alzu’bi, D., Abdullah, M., Hmeidi, I., Al Nasar, M. R., Abualigah, L., & Gandomi, A. H. (2022). Radiology imaging scans for early diagnosis of kidney tumors: a review of data analytics-based machine learning and deep learning approaches. Big Data and Cognitive Computing, 6(1), 29.

Alshare, S., Abdullah, M., & Quwaider, M. (2022, June). Increasing Accuracy of Random Forest Algorithm by Decreasing Variance. In 2022 13th International Conference on Information and Communication Systems (ICICS) (pp. 232-238). IEEE.

Gharaibeh, M., Obeidat, R., Abdullah, M., & Al-Harahsheh, Y. (2022, June). Datasets and Approaches of COVID-19 Misinformation Detection: A Survey. In 2022 13th International Conference on Information and Communication Systems (ICICS) (pp. 337-345). IEEE.

Wedyan, M., Ali, H., & Abdullah, M. (2022, June). Toward Predicting Patient’s Satisfaction of Indoor Environmental Quality in Jordanian Hospitals using SVM and K-NN Machine Learning Algorithms. In 2022 13th International Conference on Information and Communication Systems (ICICS) (pp. 239-245). IEEE.

Abdullah, M., Khrais, J., & Swedat, S. (2022, June). Transformer-Based Deep Learning for Sarcasm Detection with Imbalanced Dataset: Resampling Techniques with Downsampling and Augmentation. In 2022 13th International Conference on Information and Communication Systems (ICICS) (pp. 294-300). IEEE.

Abdullah, M., Al-Ayyoub, M., AlRawashdeh, S., & Shatnawi, F. (2021). "E-learningDJUST: E-learning dataset from Jordan university of science and technology toward investigating the impact of COVID-19 pandemic on education". Neural Computing and Applications, 1-15

Yaseen, Tuqa Bani, Qusai Ismail, Sarah Al-Omari, Eslam Al-Sobh, and Malak Abdullah. "JUST-BLUE at SemEval-2021 Task 1: Predicting Lexical Complexity using BERT and RoBERTa Pre-trained Language Models." In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pp. 661-666. 2021.

Faraj, Dalya, and Malak Abdullah. "SarcasmDet at SemEval-2021 Task 7: Detect Humor and Offensive based on Demographic Factors using RoBERTa Pre-trained Model." In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pp. 527-533. 2021.

Abujaber, Dia, Ahmed Qarqaz, and Malak A. Abdullah. "LeCun at SemEval-2021 Task 6: Detecting Persuasion Techniques in Text Using Ensembled Pretrained Transformers and Data Augmentation." In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pp. 1068-1074. 2021.

Abedalla, Ayat, Malak Abdullah, Mahmoud Al-Ayyoub, and Elhadj Benkhelifa. "Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures." PeerJ Computer Science 7 (2021): e607.

Qarqaz, Ahmed, Dia Abujaber, and Malak Abdullah. "R00 at NLP4IF-2021 fighting COVID-19 infodemic with transformers and more transformers." In Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda, pp. 104-109. 2021.

Qarqaz, Ahmed, and Malak A. Abdullah. "Team R00 at Mowjaz Multi-Topic Labelling Task for Arabic Articles." In 2021 12th International Conference on Information and Communication Systems (ICICS), pp. 462-465. IEEE, 2021.

Alharahsheh, Yara E., and Malak A. Abdullah. "Predicting Individuals Mental Health Status in Kenya using Machine Learning Methods." In 2021 12th International Conference on Information and Communication Systems (ICICS), pp. 94-98. IEEE, 2021.

Altiti, Ola, Malak Abdullah, and Rasha Obiedat. "JUST at SemEval-2020 task 11: Detecting propaganda techniques using BERT pre-trained model." In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pp. 1749-1755. 2020.

Shatnawi, Fara, Malak Abdullah, and Mahmoud Hammad. "MLEngineer at SemEval-2020 task 7: BERT-flair based humor detection model (BFHumor)." In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pp. 1041-1048. 2020.

Al-Khdour, Nour, Mutaz Bni Younes, Malak Abdullah, and AL-Smadi Mohammad. "JUSTMasters at SemEval-2020 Task 3: Multilingual deep learning model to predict the effect of context in word similarity." In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pp. 292-300. 2020.

Mohammed, Roweida, and Malak Abdullah. "Teamjust at semeval-2020 task 4: Commonsense validation and explanation using ensembling techniques." In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pp. 594-600. 2020.

AlRashdan, Mohammed N., Malak Abdullah, Mahmoud Al‐Ayyoub, and Yaser Jararweh. "Authorship analysis of English and Spanish tweets." Proceedings of the Association for Information Science and Technology 57, no. 1 (2020): e261.

Abedalla, Ayat, Malak Abdullah, Mahmoud Al-Ayyoub, and Elhadj Benkhelifa. "2st-unet: 2-stage training model using u-net for pneumothorax segmentation in chest x-rays." In 2020 International Joint Conference on Neural Networks (IJCNN), pp. 1-6. IEEE, 2020.

Mohammed, Roweida, Jumanah Rawashdeh, and Malak Abdullah. "Machine learning with oversampling and undersampling techniques: overview study and experimental results." In 2020 11th international conference on information and communication systems (ICICS), pp. 243-248. IEEE, 2020.

Al-Omari, Hani, Malak A. Abdullah, and Samira Shaikh. "Emodet2: Emotion detection in english textual dialogue using bert and bilstm models." In 2020 11th International Conference on Information and Communication Systems (ICICS), pp. 226-232. IEEE, 2020.

O ElTayeby, T Eaglin, M Abdullah, D Burlinson, W Dou, L Yao, "A feasibility study on identifying drinking-related contents in Facebook through mining heterogeneous data", Health informatics journal 25 (4), 1756-1767, 2019

H Al-Omari, M Abdullah, O AlTiti, S Shaikh, "JUSTDeep at NLP4IF 2019 Task 1: Propaganda Detection using Ensemble Deep Learning Models", Proceedings of the Second Workshop on Natural Language Processing for …2019

A Abedalla, A Al-Sadi, M Abdullah, "A Closer Look at Fake News Detection: A Deep Learning Perspective", Proceedings of the 2019 3rd International Conference on Advances in …2019

B Bataineh, R Duwairi, M Abdullah, "ArDep: An Arabic Lexicon for Detecting Depression", Proceedings of the 2019 3rd International Conference on Advances in …2019

A Abedalla, A Fadel, I Tuffaha, H Al-Omari, M Omari, M Abdullah, ..., "MTRecS-DLT: Multi-Modal Transport Recommender System using Deep Learning and Tree Models", 2019 Sixth International Conference on Social Networks Analysis, Management …2019

E Qawasmeh, M Tawalbeh, M Abdullah, "Automatic Identification of Fake News Using Deep Learning", 2019 Sixth International Conference on Social Networks Analysis, Management …2019

H Al-Omari, M Abdullah, N Bassam, "EmoDet at SemEval-2019 Task 3: Emotion Detection in Text using Deep Learning", Proceedings of the 13th International Workshop on Semantic Evaluation, 200-204, 2019

M Abdullah, M Hadzikadic, S Shaikh. "SEDAT: Sentiment and Emotion Detection in Arabic Text Using CNN-LSTM Deep Learning", 2018 17th IEEE International Conference on Machine Learning and Applications.

O ElTayeby, T Eaglin, M Abdullah, D Burlinson, W Dou, L Yao. "A feasibility study on identifying drinking-related contents in Facebook through mining heterogeneous data", Health informatics journal, 1460458218798084

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”, Proceedings of The 12th International Workshop on Semantic Evaluation, 350-357. SemEval-2018.

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.