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 | 496 | 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 | 341 | 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 | 287 | 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 | 239 | 1993 |
Stakeholders in explainable AI A Preece, D Harborne, D Braines, R Tomsett, S Chakraborty arXiv preprint arXiv:1810.00184, 2018 | 229 | 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 | 203 | 2018 |
Foundation and application of knowledge base verification AD Preece, R Shinghal International journal of intelligent Systems 9 (8), 683-701, 1994 | 195 | 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 | 169 | 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 | 166 | 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 | 150 | 2020 |
Ontology reconciliation A Hameed, A Preece, D Sleeman Handbook on ontologies, 231-250, 2004 | 143 | 2004 |
Towards a methodology for evaluating expert systems AD Preece Expert Systems 7 (4), 215-223, 1990 | 131 | 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 | 125 | 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 | 124 | 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 | 120 | 2020 |
Principles and practice in verifying rule-based systems AD Preece, R Shinghal, A Batarekh The Knowledge Engineering Review 7 (2), 115-141, 1992 | 119 | 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 | 110 | 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 | 108 | 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 | 97 | 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 | 96 | 2005 |