It is widely recognised that visualisations amplify human's cognition during data analysis and proper visualisation of machine learning is essential for a human analyst to be able to interpret them.
We explore approaches based on visualisation in addressing challenges in data analytics and machine learning. Some examples are:
- Visualisation in explainable AI
- Visualisation and human factors
- Visual analytics of time series data
- Visual comparison in machine learning
- Visualisation and topology
- Visual analytics of biomedical data
