Jeffrey N. Clark

According to our database, Jeffrey N. Clark authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

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, May, 2025

Prototype-enhanced prediction in graph neural networks for climate applications.

Nawid Keshtmand, Elena Fillola, Jeffrey Nicholas Clark, Raúl Santos-Rodríguez, Matthew Rigby

CoRR, April, 2025

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

Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories.

Thea Barnes, Enrico Werner, Jeffrey N. Clark, Raúl Santos-Rodríguez

CoRR, 2024

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

Proceedings of the Northern Lights Deep Learning Conference, 2024

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

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

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