Nick F. Ryman-Tubb

According to our database, Nick F. Ryman-Tubb authored at least 6 papers between 2010 and 2024.

Collaborative distances:

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

2024

The SAGE Framework for Explaining Context in Explainable Artificial Intelligence.

Eleanor Mill, Wolfgang Garn, Nick F. Ryman-Tubb, Christopher Turner

Appl. Artif. Intell., December, 2024

2022

Managing Sustainability Tensions in Artificial Intelligence: Insights from Paradox Theory.

Eleanor Mill, Wolfgang Garn, Nick F. Ryman-Tubb

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2018

How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark.

Nick F. Ryman-Tubb, Paul Krause, Wolfgang Garn

Eng. Appl. Artif. Intell., 2018

2016

Understanding payment card fraud through knowledge extraction from neural networks using large-scale datasets.

Nick F. Ryman-Tubb

PhD thesis, 2016

2011

Neural Network Rule Extraction to Detect Credit Card Fraud.

Nick F. Ryman-Tubb, Paul Krause

Proceedings of the Engineering Applications of Neural Networks, 2011

2010

SOAR - Sparse Oracle-based Adaptive Rule extraction: Knowledge extraction from large-scale datasets to detect credit card fraud.

Nick F. Ryman-Tubb, Artur S. d'Avila Garcez

Proceedings of the International Joint Conference on Neural Networks, 2010