| 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 | 378 | 2017 |
| 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 | 175* | 2018 |
| Stakeholders in explainable AI A Preece, D Harborne, D Braines, R Tomsett, S Chakraborty arXiv preprint arXiv:1810.00184, 2018 | 157 | 2018 |
| Nitelight: A graphical tool for semantic query construction A Russell, PR Smart, D Braines, NR Shadbolt | 116 | 2008 |
| A visual approach to semantic query design using a web-based graphical query designer PR Smart, A Russell, D Braines, Y Kalfoglou, J Bao, NR Shadbolt Knowledge Engineering: Practice and Patterns: 16th International Conference …, 2008 | 88 | 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), 100049, 2020 | 81 | 2020 |
| Integrating hard and soft information sources for D2D using controlled natural language A Preece, D Pizzocaro, D Braines, D Mott, G de Mel, T Pham 2012 15th International Conference on Information Fusion, 1330-1337, 2012 | 56 | 2012 |
| Machine learning/artificial intelligence for sensor data fusion–opportunities and challenges E Blasch, T Pham, CY Chong, W Koch, H Leung, D Braines, T Abdelzaher IEEE Aerospace and Electronic Systems Magazine 36 (7), 80-93, 2021 | 45 | 2021 |
| Shared understanding within military coalitions: A definition and review of research challenges PR Smart, D Mott, K Sycara, D Braines, M Strub, NR Shadbolt | 40 | 2009 |
| Developing the sensitivity of LIME for better machine learning explanation E Lee, D Braines, M Stiffler, A Hudler, D Harborne Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019 | 35 | 2019 |
| The network-extended mind PR Smart, PC Engelbrecht, D Braines, M Strub, C Giammanco Network Science for Military Coalition Operations: Information Exchange and …, 2010 | 35 | 2010 |
| Hybrid Rationale for Shared Understanding D Mott, C Giammanco, MC Dorneich, D Braines 4th Annual Conference of the International Technology Alliance (ACITA’10 …, 2010 | 33 | 2010 |
| Controlled english to facilitate human/machine analytical processing D Braines, D Mott, S Laws, G de Mel, T Pham Next-Generation Analyst 8758, 44-56, 2013 | 32 | 2013 |
| Semantic technologies and enhanced situation awareness PR Smart, A Bahrami, D Braines, D McRae-Spencer, J Yuan, ... | 30 | 2007 |
| Information extraction using controlled english to support knowledge-sharing and decision-making P Xue, S Poteet, A Kao, D Mott, D Braines, C Giammanco, T Pham BOEING CO SEATTLE WA RESEARCH AND TECHNOLOGY, 2012 | 28 | 2012 |
| Dynamic patterns of terrorist networks: Efficiency and security in the evolution of eleven islamic extremist attack networks C McMillan, D Felmlee, D Braines Journal of quantitative criminology 36, 559-581, 2020 | 27 | 2020 |
| Human-machine conversations to support multi-agency missions A Preece, D Braines, D Pizzocaro, C Parizas ACM SIGMOBILE Mobile Computing and Communications Review 18 (1), 75-84, 2014 | 27 | 2014 |
| Dynamic networks and distributed problem-solving PR Smart, TD Huynh, D Braines, N Shadbolt | 27 | 2010 |
| gl2vec: Learning feature representation using graphlets for directed networks K Tu, J Li, D Towsley, D Braines, LD Turner Proceedings of the 2019 IEEE/ACM international conference on advances in …, 2019 | 26 | 2019 |
| Towards an understanding of shared understanding in military coalition contexts PR Smart, TD Huynh, D Mott, K Sycara, D Braines, M Strub, W Sieck, ... | 26 | 2009 |
Alun PreeceCardiff University - Crime & Security Research InstituteVerified email at cardiff.ac.uk
