Paula Maddigan

According to our database, Paula Maddigan authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Genetic Programming for Explainable Manifold Learning.

Ben Cravens, Andrew Lensen, Paula Maddigan, Bing Xue

IEEE Trans. Emerg. Top. Comput. Intell., February, 2026

2025

Re-Identifying Kākā with AI-Automated Video Key Frame Extraction.

Paula Maddigan, Andrew Lensen, Rachael C. Shaw

CoRR, October, 2025

2024

Explaining Genetic Programming Trees using Large Language Models.

Paula Maddigan, Andrew Lensen, Bing Xue

CoRR, 2024

Re-Identification of Individual Kākā: An Explainable DINO-Based Model.

Paula Maddigan, Oskar Ehrhardt, Andrew Lensen, Rachael C. Shaw

Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024

2023

Forecasting patient flows with pandemic induced concept drift using explainable machine learning.

Teo Susnjak, Paula Maddigan

EPJ Data Sci., December, 2023

Forecasting patient demand at urgent care clinics using explainable machine learning.

Teo Susnjak, Paula Maddigan

CAAI Trans. Intell. Technol., September, 2023

Chat2VIS: Fine-Tuning Data Visualisations using Multilingual Natural Language Text and Pre-Trained Large Language Models.

Paula Maddigan, Teo Susnjak

CoRR, 2023

Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models.

Paula Maddigan, Teo Susnjak

CoRR, 2023

Chat2VIS: Generating Data Visualizations via Natural Language Using ChatGPT, Codex and GPT-3 Large Language Models.

Paula Maddigan, Teo Susnjak

IEEE Access, 2023

2022

Forecasting Patient Demand at Urgent Care Clinics using Machine Learning.

Paula Maddigan, Teo Susnjak

CoRR, 2022