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Daniel Harborne
Daniel Harborne
Crime and Security Research Institute, Cardiff University
Geverifieerd e-mailadres voor cardiff.ac.uk - Homepage
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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
4672017
Stakeholders in explainable AI
A Preece, D Harborne, D Braines, R Tomsett, S Chakraborty
arXiv preprint arXiv:1810.00184, 2018
2162018
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
1932018
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
1372020
A systematic method to understand requirements for explainable AI (XAI) systems
M Hall, D Harborne, R Tomsett, V Galetic, S Quintana-Amate, A Nottle, ...
Proceedings of the IJCAI Workshop on eXplainable Artificial Intelligence …, 2019
622019
A Systematic Method to Understand Requirements for Explainable AI (XAI) Systems
M Hall, D Harborne, R Tomsett, V Galetic, S Quintana-Amate, A Nottle, ...
Proceedings of the IJCAI Workshop on eXplainable Artificial Intelligence …, 2019
622019
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
512019
Interpretable to whom
R Tomsett, D Braines, D Harborne, A Preece, S Chakraborty
A role-based model for analyzing interpretable machine learning systems, 2018
332018
Efficient orchestration of node-red iot workflows using a vector symbolic architecture
C Simpkin, I Taylor, D Harborne, G Bent, A Preece, RK Ganti
Future Generation Computer Systems 111, 117-131, 2020
182020
Dynamic distributed orchestration of node-red iot workflows using a vector symbolic architecture
C Simpkin, I Taylor, D Harborne, G Bent, A Preece, RK Ganti
2018 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 52-63, 2018
172018
Integrating learning and reasoning services for explainable information fusion
D Harborne, C Willis, R Tomsett, AD Preece
ICPRAI 2018 - International Conference on Pattern Recognition and Artificial …, 2018
162018
A deep convolutional network for traffic congestion classification
C Willis, D Harborne, R Tomsett, M Alzantot
Proc NATO IST-158/RSM-010 Specialists’ Meeting on Content Based Real-Time …, 2017
162017
Conversational homes: a uniform natural language approach for collaboration among humans and devices
D Braines, N O'leary, A Thomas, D Harborne, AD Preece, WM Webberley
International Journal on Advances in Intelligent Systems 10 (3/4), 223-237, 2017
162017
Developing an objective indicator of fatigue: An alternative mobile version of the Psychomotor Vigilance Task (m-PVT)
MS Evans, D Harborne, AP Smith
International Symposium on Human Mental Workload: Models and Applications, 49-71, 2018
152018
Distributed opportunistic sensing and fusion for traffic congestion detection
A Nottle, D Harborne, D Braines, M Alzantot, S Quintana-Amate, ...
2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017
112017
Interpretability of deep learning models: a survey of results. in 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing …
S Chakraborty, R Tomsett, R Raghavendra, D Harborne, M Alzantot, ...
IEEE.[Google Scholar], 2017
92017
2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and …
S Chakraborty, R Tomsett, R Raghavendra, D Harborne, M Alzantot, ...
IEEE,, 2017
82017
Stakeholders in Explainable AI, ArXiv
A Preece, D Harborne, D Braines, R Tomsett, S Chakraborty
arXiv preprint arXiv:1810.00184, 2018
62018
An analysis of reliability using lime with deep learning models
M Stiffler, A Hudler, E Lee, D Braines, D Mott, D Harborne
Annual Fall Meeting of the Distributed Analytics and Information Science …, 2018
62018
Stakeholders in explainable AI. arXiv 2018
A Preece, D Harborne, D Braines, R Tomsett, S Chakraborty
arXiv preprint arXiv:1810.00184, 0
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