Lu, X., Poon, J. and Khushi, M. (2025) 'Leveraging BiLSTM-GAT for enhanced stock market prediction: a dual-graph approach to portfolio optimization'. Applied Intelligence, 55 (7). pp. 1 - 18. ISSN: 0924-669X Open Access Link

Lu, X., Poon, J. and Khushi, M. (2024) 'Bridging the Gap between Machine and Human in Stock Prediction: Addressing Heterogeneity in Stock Market'. IEEE Access, 12. pp. 186171 - 186185.Open Access Link

Naseem, U., Dunn, AG., Khushi, M. and Kim, J. (2024) 'Vaccine Misinformation Detection in X using Cooperative Multimodal Framework'.MM '24: The 32nd ACM International Conference on Multimedia. Melbourne, Australia. 28 - 1 November. ACM. pp. 4034 - 4042.Open Access Link

Zhou, F., Khushi, M., Brett, J. and Uddin, S. (2024) 'Graph neural network-based subgraph analysis for predicting adverse drug events'. Computers in Biology and Medicine, 183. pp. 1 - 13. ISSN: 0010-4825 Open Access Link

He, J., Tran, NH. and Khushi, M. (2022) 'Stock Predictor with Graph Laplacian-Based Multi-task Learning'.The International Conference on Computational Science ICCS 2022. London, United Kingdom. 21 - 23 June. Springer International Publishing. pp. 541 - 553. ISSN: 0302-9743 Open Access Link

Naseem, U., Dunn, AG., Kim, J. and Khushi, M. (2022) 'Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification'.ACM Web Conference 2022 (WWW 2022). Online, Lyon, France. 25 - 29 April. ACM. pp. 2563 - 2572.

Naseem, U., Dunn, AG., Khushi, M. and Kim, J. (2022) 'Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT'. BMC Bioinformatics, 23 (1). pp. 1 - 15. ISSN: 1471-2105 Open Access Link

Naseem, U., Khushi, M. and Kim, J. (2022) 'Vision-Language Transformer for Interpretable Pathology Visual Question Answering'. IEEE Journal of Biomedical and Health Informatics, 27 (4). pp. 1681 - 1690. ISSN: 2168-2194 Open Access Link

Khushi, M., Clarke, CL. and Graham, JD. (2014) 'Bioinformatic analysis of cis-regulatory interactions between progesterone and estrogen receptors in breast cancer'. PeerJ, 2 (1). pp. 1 - 20. ISSN: 2167-8359 Open Access Link