Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 18-Jul-2021 | Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU | Naseem, U; Khushi, M; Kim, J; Dunn, A |
| 5-Sep-2021 | Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks | Zhou, J; Khushi, M; Moni, MA; Uddin, S; Poon, SK |
| 2-Feb-2021 | A survey of forex and stock price prediction using deep learning | Hu, Z; Zhao, Y; Khushi, M |
| 16-Jul-2021 | BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition | Naseem, U; Khushi, M; Reddy, V; Rajendran, S; Razzak, I; Kim, J |
| 1-Mar-2021 | Feature learning for stock price prediction shows a significant role of analyst rating | Singh, J; Khushi, M |
| 17-Feb-2021 | Text mining of stocktwits data for predicting stock prices | Jaggi, M; Mandal, P; Narang, S; Naseem, U; Khushi, M |
| 15-Mar-2021 | A comparative analysis of active learning for biomedical text mining | Naseem, U; Khushi, M; Khan, SK; Shaukat, K; Moni, MA |