• Human-machine teaming for document coding
    Extracting required information from documents is a common task in may research areas such as Human-Computer Interaction (HCI), Psychology, Sociology, Law, and Business. For example, in a study to understand […]
  • Visual analytic for sensemaking
    The goal of this project is to understand how analysts make sense of data using data visualisation and/or machine learning. ‘Sensemaking’ is a bit broader than what is usually known […]
  • Machine Learning Provenance for Hyperparameter tuning
    Hyperparameters are important to the performance of machine learning models. However, some models have many parameters and each parameter has many possible values, if not infinite. As a result, finding […]