Focal Interest
Focal Interest

Information extraction

  1. Ontology-guided LLMs extract cybersecurity knowledge graphs from logs
  2. Topic modelling revealed known and potential canine disease phenotypes
    Machine learning analysis of one million canine electronic health records identifies disease phenotypes, breed predispositions, and emerging health patterns using unsupervised topic modeling.
  3. Social media data can support disaster response tracking
    Research methodology integrating NLP, machine learning, and visual analytics to extract actionable information from social media during environmental disasters.