Identification, explanation and clinical evaluation of hospital patient subtypes. - Enrico Werner; Jeffrey N. Clark; Ranjeet S. Bhamber; Michael Ambler; Christopher P. Bourdeaux; Alexander Hepburn; Christopher J. McWilliams; Raúl Santos-Rodríguez (CoRR, 2023)

Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse. - Edward A. Small; Jeffrey N. Clark; Christopher J. McWilliams; Kacper Sokol; Jeffrey Chan; Flora D. Salim; Raúl Santos-Rodríguez (CoRR, 2023)

Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways. - Michelle W. L. Wan; Jeffrey N. Clark; Edward A. Small; Elena Fillola Mayoral; Raúl Santos-Rodríguez (CoRR, 2023)

TraCE: Trajectory Counterfactual Explanation Scores. - Jeffrey Nicholas Clark; Edward Alexander Small; Nawid Keshtmand; Michelle Wing Lam Wan; Elena Fillola Mayoral; Enrico Werner; Christopher P. Bourdeaux; Raúl Santos-Rodríguez (NLDL, 2024)

Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories. - Thea Barnes; Enrico Werner; Jeffrey N. Clark; Raúl Santos-Rodríguez (CoRR, 2024)

Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care. - Jeffrey N. Clark; Matthew Wragg; Emily Nielsen; Miquel Perelló-Nieto; Nawid Keshtmand; Michael Ambler; Shiv Sharma; Christopher P. Bourdeaux; Amberly Brigden; Raúl Santos-Rodríguez (CoRR, 2024)

Prototype-enhanced prediction in graph neural networks for climate applications. - Nawid Keshtmand; Elena Fillola; Jeffrey Nicholas Clark; Raúl Santos-Rodríguez; Matthew Rigby (CoRR, 2025)

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks. - Finn Gueterbock; Raúl Santos-Rodríguez; Jeffrey N. Clark (CoRR, 2025)