Robert Andrews
Titolo
Citata da
Citata da
Anno
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
15211995
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
5491998
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
1522017
Rule extraction from a constrained error back propagation MLP
R Andrews, S Geva
Australian Conference on Neural Networks, Brisbane, Queensland, 9-12, 1994
831994
Rule extraction from local cluster neural nets
R Andrews, S Geva
Neurocomputing 47 (1-4), 1-20, 2002
602002
RULEX & CEBP Networks as the Basis for a Rule Refinement System
R Andrews, S Geva
Hybrid problems, hybrid solutions 27, 1, 1995
491995
Inserting and extracting knowledge from constrained error back-propagation networks.
R Andrews
Proceedings of the 6th Australian Conference on Neural Networks, 1995
481995
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
341998
Rules and local function networks
R Andrews, S Geva
Proceedings of the Workshop on Rule Extraction From Trained Artificialá…, 1996
301996
Quality-informed semi-automated event log generation for process mining
R Andrews, CGJ van Dun, MT Wynn, W Kratsch, MKE R÷glinger, ...
Decision Support Systems 132, 113265, 2020
272020
Rule extraction from trained artificial neural networks
R Andrews
Neural network analysis, architectures and algorithms, 61-99, 1997
271997
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
271996
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
251999
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
222019
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
192018
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 Meaningfulá…, 2017
162017
Towards event log querying for data quality
R Andrews, S Suriadi, C Ouyang, E Poppe
OTM Confederated International Conferences" On the Move to Meaningfulá…, 2018
142018
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 oná…, 1999
141999
A case study lens on process mining in practice
F Emamjome, R Andrews, AHM ter Hofstede
OTM Confederated International Conferences" On the Move to Meaningfulá…, 2019
132019
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
132018
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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