Alun Preece
Alun Preece
Cardiff University - Security Crime and Intelligence Innovation Institute
Verified email at - Homepage
Cited by
Cited by
Interpretability of deep learning models: A survey of results
S Chakraborty, R Tomsett, R Raghavendra, D Harborne, M Alzantot, ...
2017 IEEE smartworld, ubiquitous intelligence & computing, advanced …, 2017
Agent-based formation of virtual organisations
TJ Norman, A Preece, S Chalmers, NR Jennings, M Luck, VD Dang, ...
Knowledge-based systems 17 (2-4), 103-111, 2004
The KRAFT architecture for knowledge fusion and transformation
A Preece, K Hui, A Gray, P Marti, T Bench-Capon, D Jones, Z Cui
Research and Development in Intelligent Systems XVI: Proceedings of ES99 …, 2000
Philosophies for the design and development of clinical decision-support systems
HA Heathfield, J Wyatt
Methods of information in medicine 32 (01), 01-08, 1993
Stakeholders in explainable AI
A Preece, D Harborne, D Braines, R Tomsett, S Chakraborty
arXiv preprint arXiv:1810.00184, 2018
Interpretable to whom? A role-based model for analyzing interpretable machine learning systems
R Tomsett, D Braines, D Harborne, A Preece, S Chakraborty
arXiv preprint arXiv:1806.07552, 2018
Foundation and application of knowledge base verification
AD Preece, R Shinghal
International journal of intelligent Systems 9 (8), 683-701, 1994
Asking ‘Why’in AI: Explainability of intelligent systems–perspectives and challenges
A Preece
Intelligent Systems in Accounting, Finance and Management 25 (2), 63-72, 2018
Better knowledge management through knowledge engineering
A Preece, A Flett, D Sleeman, D Curry, N Meany, P Perry
IEEE intelligent Systems 16 (1), 36-43, 2001
Sanity checks for saliency metrics
R Tomsett, D Harborne, S Chakraborty, P Gurram, A Preece
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6021-6029, 2020
Ontology reconciliation
A Hameed, A Preece, D Sleeman
Handbook on ontologies, 231-250, 2004
Towards a methodology for evaluating expert systems
AD Preece
Expert Systems 7 (4), 215-223, 1990
KRAFT: Knowledge fusion from distributed databases and knowledge bases
PMD Gray, A Preece, NJ Fiddian, WA Gray, TJM Bench-Capon, ...
Database and Expert Systems Applications. 8th International Conference, DEXA …, 1997
An ontology-centric approach to sensor-mission assignment
M Gomez, A Preece, MP Johnson, G De Mel, W Vasconcelos, C Gibson, ...
Knowledge Engineering: Practice and Patterns: 16th International Conference …, 2008
Rapid trust calibration through interpretable and uncertainty-aware AI
R Tomsett, A Preece, D Braines, F Cerutti, S Chakraborty, M Srivastava, ...
Patterns 1 (4), 2020
Principles and practice in verifying rule-based systems
AD Preece, R Shinghal, A Batarekh
The Knowledge Engineering Review 7 (2), 115-141, 1992
The role of idioms in sentiment analysis
L Williams, C Bannister, M Arribas-Ayllon, A Preece, I Spasić
Expert Systems with Applications 42 (21), 7375-7385, 2015
KRAFT: An agent architecture for knowledge fusion
A Preece, K Hui, A Gray, P Marti, T Bench-Capon, Z Cui, D Jones
International journal of cooperative information systems 10 (01n02), 171-195, 2001
Verifying expert systems: a logical framework and a practical tool
AD Preece, R Shinghal, A Batarekh
Expert systems with applications 5 (3-4), 421-436, 1992
Agent-based virtual organisations for the grid
J Patel, WTL Teacy, NR Jennings, M Luck, S Chalmers, N Oren, ...
Proceedings of the fourth international joint conference on Autonomous …, 2005
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