Zijun Long
Research title: Real time Knowledge Extraction from Multi-modal Data Streams via Deep Neural Network Ensembles
The University of Glasgow uses cookies for analytics and advertising. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Hotjar helps us to understand and improve our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Marketing cookies are used to ensure our marketing content is relevant, timely and interest based. They allow our approved partner to measure effectiveness and serve appropriate and personalised marketing messages on other websites based on your activity on glasgow.ac.uk
Research title: Real time Knowledge Extraction from Multi-modal Data Streams via Deep Neural Network Ensembles
Long, Z. and McCreadie, R. (2022) Is Multi-Modal Data Key for Crisis Content Categorization on Social Media? In: 19th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2022), Tarbes, France, 22-25 May 2022, (In Press)
Long, Z. and McCreadie, R. (2021) Automated Crisis Content Categorization for COVID-19 Tweet Streams. In: 18th International Conference on Information Systems for Crisis Response and Management, Blacksburg, VA, USA, 23-26 May 2021, pp. 667-678.
Long, Z. and McCreadie, R. (2022) Is Multi-Modal Data Key for Crisis Content Categorization on Social Media? In: 19th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2022), Tarbes, France, 22-25 May 2022, (In Press)
Long, Z. and McCreadie, R. (2021) Automated Crisis Content Categorization for COVID-19 Tweet Streams. In: 18th International Conference on Information Systems for Crisis Response and Management, Blacksburg, VA, USA, 23-26 May 2021, pp. 667-678.