Paula Maddigan

According to our database, Paula Maddigan authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

Genetic Programming for Explainable Manifold Learning.

Ben Cravens, Andrew Lensen, Paula Maddigan, Bing Xue

CoRR, 2024

Explaining Genetic Programming Trees using Large Language Models.

Paula Maddigan, Andrew Lensen, Bing Xue

CoRR, 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