24 citations · 34 across the 7 of their papers we have counts for
7 papers
Re-Identifying Kākā with AI-Automated Video Key Frame Extraction
Paula Maddigan, Andrew Lensen, Rachael C. Shaw
Accurate recognition and re-identification of individual animals is essential for successful wildlife population monitoring. Traditional methods, such as leg banding of birds, are…
Explaining Genetic Programming Trees using Large Language Models
Paula Maddigan, Andrew Lensen, Bing Xue
Genetic programming (GP) has the potential to generate explainable results, especially when used for dimensionality reduction. In this research, we investigate the potential of lev…
Genetic Programming for Explainable Manifold Learning
Ben Cravens, Andrew Lensen, Paula Maddigan +1
Manifold learning techniques play a pivotal role in machine learning by revealing lower-dimensional embeddings within high-dimensional data, thus enhancing both the efficiency and…
Chat2VIS: Fine-Tuning Data Visualisations using Multilingual Natural Language Text and Pre-Trained Large Language Models
Paula Maddigan, Teo Susnjak
The explosion of data in recent years is driving individuals to leverage technology to generate insights. Traditional tools bring heavy learning overheads and the requirement for u…
Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models
Paula Maddigan, Teo Susnjak
The field of data visualisation has long aimed to devise solutions for generating visualisations directly from natural language text. Research in Natural Language Interfaces (NLIs)…
Forecasting Patient Flows with Pandemic Induced Concept Drift using Explainable Machine Learning
Teo Susnjak, Paula Maddigan
Accurately forecasting patient arrivals at Urgent Care Clinics (UCCs) and Emergency Departments (EDs) is important for effective resourcing and patient care. However, correctly est…
Forecasting Patient Demand at Urgent Care Clinics using Machine Learning
Paula Maddigan, Teo Susnjak
Urgent care clinics and emergency departments around the world periodically suffer from extended wait times beyond patient expectations due to inadequate staffing levels. These del…