Robert Andrews
Cited by
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Survey and critique of techniques for extracting rules from trained artificial neural networks
R Andrews, J Diederich, AB Tickle
Knowledge-based systems 8 (6), 373-389, 1995
The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks
AB Tickle, R Andrews, M Golea, J Diederich
IEEE Transactions on Neural Networks 9 (6), 1057-1068, 1998
Event log imperfection patterns for process mining: Towards a systematic approach to cleaning event logs
S Suriadi, R Andrews, AHM ter Hofstede, MT Wynn
Information systems 64, 132-150, 2017
Rule extraction from a constrained error back propagation MLP
R Andrews, S Geva
Australian Conference on Neural Networks, Brisbane, Queensland, 9-12, 1994
Rule extraction from local cluster neural nets
R Andrews, S Geva
Neurocomputing 47 (1-4), 1-20, 2002
RULEX & CEBP Networks as the Basis for a Rule Refinement System
R Andrews, S Geva
Hybrid problems, hybrid solutions 27, 1, 1995
Inserting and extracting knowledge from constrained error back-propagation networks.
R Andrews
Proceedings of the 6th Australian Conference on Neural Networks, 1995
Lessons from past, current issues, and future research directions in extracting the knowledge embedded in artificial neural networks
AB Tickle, F Maire, G Bologna, R Andrews, J Diederich
International Workshop on Hybrid Neural Systems, 226-239, 1998
Rules and local function networks
R Andrews, S Geva
Proceedings of the Workshop on Rule Extraction From Trained Artificial …, 1996
Rule extraction from trained artificial neural networks
R Andrews
Neural network analysis, architectures and algorithms, 61-99, 1997
An evaluation and comparison of techniques for extracting and refining rules from artificial neural networks
R Andrews, R Cable, J Diederich, S Geva, M Golea, R Hayward, ...
QUT NRC (February 1996), 1996
Lessons from the field: A reflection on teaching SAP R/3 and ERP implementation issues
G Stewart, G Gable, R Andrews, M Rosemann, T Chan
AMCIS 1999 Proceedings, 277, 1999
Quality-informed semi-automated event log generation for process mining
R Andrews, CGJ van Dun, MT Wynn, W Kratsch, MKE Röglinger, ...
Decision Support Systems 132, 113265, 2020
Leveraging data quality to better prepare for process mining: an approach illustrated through analysing road trauma pre-hospital retrieval and transport processes in Queensland
R Andrews, MT Wynn, K Vallmuur, AHM Ter Hofstede, E Bosley, M Elcock, ...
International journal of environmental research and public health 16 (7), 1138, 2019
Detection and interactive repair of event ordering imperfection in process logs
PM Dixit, S Suriadi, R Andrews, MT Wynn, AHM ter Hofstede, JCAM Buijs, ...
International Conference on Advanced Information Systems Engineering, 274-290, 2018
Semi-supervised log pattern detection and exploration using event concurrence and contextual information
X Lu, D Fahland, R Andrews, S Suriadi, MT Wynn, AHM ter Hofstede, ...
OTM Confederated International Conferences" On the Move to Meaningful …, 2017
On the effects of initialising a neural network with prior knowledge
R Andrews, S Geva
ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on …, 1999
Refining Expert Knowledge with an Artificial Neural Network.
R Andrews, S Geva
ICONIP (2), 847-850, 1997
A case study lens on process mining in practice
F Emamjome, R Andrews, AHM ter Hofstede
OTM Confederated International Conferences" On the Move to Meaningful …, 2019
Improving patient flows at St. Andrew’s War Memorial Hospital’s emergency department through process mining
R Andrews, S Suriadi, M Wynn, AHM ter Hofstede, S Rothwell
Business Process Management Cases, 311-333, 2018
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