Jeffrey N. Clark

Orcid: 0000-0003-0118-3999

According to our database1, Jeffrey N. Clark authored at least 11 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
FLEX: Feature Importance from Layered Counterfactual Explanations.
CoRR, November, 2025

Uncertainty assessment in satellite-based greenhouse gas emissions estimates using emulated atmospheric transport.
CoRR, October, 2025

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks.
CoRR, May, 2025

Prototype-enhanced prediction in graph neural networks for climate applications.
CoRR, April, 2025

Machine Learning for Climate Policy: Understanding Policy Progression in the European Green Deal.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

2024
Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care.
CoRR, 2024

Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories.
CoRR, 2024

TraCE: Trajectory Counterfactual Explanation Scores.
Proceedings of the Northern Lights Deep Learning Conference, 2024

2023
Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways.
CoRR, 2023

Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse.
CoRR, 2023

Identification, explanation and clinical evaluation of hospital patient subtypes.
CoRR, 2023


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