Edward Small

Orcid: 0000-0002-3368-1397

According to our database1, Edward Small authored at least 10 papers between 2022 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Comprehension is a double-edged sword: Over-interpreting unspecified information in intelligible machine learning explanations.
Int. J. Hum. Comput. Stud., 2025

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

Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

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

Can Users Correctly Interpret Machine Learning Explanations and Simultaneously Identify Their Limitations?
CoRR, 2023

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

Navigating Explanatory Multiverse Through Counterfactual Path Geometry.
CoRR, 2023

An Analysis of Physics-Informed Neural Networks.
CoRR, 2023

Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations.
CoRR, 2023

2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies.
CoRR, 2022


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