Nick Ryman-Tubb
Title
Cited by
Cited by
Year
Automatic rule discovery from large-scale datasets to detect payment card fraud using classifiers
NF Ryman-Tubb, B Chartier
US Patent 8,543,522, 2013
262013
How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark
N Ryman-Tubb, P Krause, W Garn
Engineering Applications of Artificial Intelligence 76, 130-157, 2018
222018
How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark.
NF Ryman-Tubb, P Krause, W Garn
Engineering Applications of Artificial Intelligence 76, 130-157, 2018
222018
A development path to success in neural computing
N Ryman-Tubb
Expert Systems Applications 9 (5), 5-9, 1993
141993
SOAR - Sparse Oracle-based Adaptive Rule Extraction : knowledge extraction from large-scale datasets to detect credit card fraud
N Ryman-Tuub, AS d'Avila Garcez
World Congress on Computational Intelligence, 1-9, 2010
112010
Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications: Models, Methods and Applications
E Alonso
IGI Global, 2010
82010
Engineering Applications of Neural Networks: 14th International Conference, EANN 2013, Halkidiki, Greece, September 2013, Proceedings
LS Iliadis, H Papadopoulos, C Jayne
Springer, 2013
62013
Neural network rule extraction to detect credit card fraud
NF Ryman-Tubb, P Krause
Engineering applications of neural networks, 101-110, 2011
62011
Impact of e-commerce on credit scoring
N Ryman-Tubb
Credit Control 21, 11-14, 2000
62000
They all stink!: Chemometrics and the neural approach
N Ryman-Tubb
SPIE 2878, 117, 1996
61996
The use of neural networks to identify the characteristics of holiday-makers
N Ryman-Tubb
The Journal of Database Marketing, 1993 2 (2), 140-149, 1993
61993
An overview of credit scoring techniques
N Ryman-Tubb
Credit control 21, 39-45, 2000
42000
Combating Application Fraud
N Ryman-Tubb
Credit Control 19, 15-19, 1998
41998
Computers learn to smell and taste
N Ryman‐Tubb
Expert Systems 12 (2), 157-161, 1995
41995
Designing an electronic wine-taster using neural networks.
N Ryman-Tubb
Electronics Engineering 64 (783), 37-46, 1992
41992
Understanding payment card fraud through knowledge extraction from neural networks using large-scale datasets
N Ryman-Tubb
University of Surrey, 2016
32016
Prime Time for Sub-Prime
N Ryman-Tubb
Credit Management, 18-19, 1999
31999
Implementation-the only sensible route to wealth creating success: a range of applications
N Ryman-Tubb
EPSRC: Information Technology Awareness in Engineering, London, 1994
31994
Credit risk analysis software makes e-commerce safer
N Ryman-Tubb
ABA Banking Journal 91 (11), 54, 1999
2*1999
Brain power _ fraud prevention
N Ryman-Tubb
Mobile Asia Pacific, 20-22, 1998
21998
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