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Number of items: 15.

Simpkin, Chris, Taylor, Ian ORCID: https://orcid.org/0000-0001-5040-0772, Harborne, Daniel, Bent, Graham, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057 and Ganti, Raghu K. 2020. Efficient orchestration of Node-RED IoT workflows using a vector symbolic architecture. Future Generation Computer Systems 111 , pp. 117-131. 10.1016/j.future.2020.04.005
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Tomsett, Richard, Harborne, Daniel, Chakraborty, Supriyo, Gurram, Prudhvi and Preece, Alun D. ORCID: https://orcid.org/0000-0003-0349-9057 2020. Sanity checks for saliency metrics. Presented at: AAAI-20: 34th AAAI Conference on Artificial Intelligence, New York City, NY, USA, 7-12 February 2020. Proceedings of the 34th AAAI Conference on Artificial Intelligence. , vol.34(04) AAAI Press, pp. 6021-6029. 10.1609/aaai.v34i04.6064
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Evans, Michael, Harborne, Daniel and Smith, Andrew ORCID: https://orcid.org/0000-0001-8805-8028 2019. Developing an objective indicator of fatigue: An alternative mobile version of the psychomotor vigilance task (m-PVT). Longo, L. and Leva, M., eds. Human Mental Workload: Models and Applications. H-WORKLOAD 2018., Vol. 1012. Communications in Computer and Information Science, Switzerland: Springer, pp. 49-71. (10.1007/978-3-030-14273-5_4)

Evans, Michael Scott, Harborne, Daniel and Smith, Andrew P. ORCID: https://orcid.org/0000-0001-8805-8028 2019. Developing an objective indicator of fatigue: An alternative mobile version of the Psychomotor Vigilance Task (m-PVT). Presented at: H-WORKLOAD 2018: International Symposium on Human Mental Workload: Models and Applications, Amsterdam, The Netherlands, 20-21 September 2018. Published in: Longo, Luca and Leva, M. Chiara eds. Human Mental Workload: Models and Applications: Second International Symposium, H-WORKLOAD 2018, Amsterdam, The Netherlands, September 20-21, 2018, Revised Selected Papers. Communications in Computer and Information Science , vol.1012 Springer Verlag, pp. 49-71. 10.1007/978-3-030-14273-5_4
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Braines, Dave, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057 and Harborne, Dan 2018. Multimodal explanations for AI-based multisensor fusion. Presented at: NATO SET-262 RSM on artificial intelligence for military multisensor fusion engines, Budapest, 05-06 November 2018.

Harborne, Daniel, Braines, David, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057 and Rzepka, Rafal 2018. Conversational control interface to facilitate situational understanding in a city surveillance setting. Presented at: The fourth Linguistic and Cognitive Approaches to Dialog Agents Workshop (LACATODA 2018), Stockholm, Sweden, 13 Jul 2018.
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Harborne, Daniel, Raghavendra, Ramya, Willis, Chris, Chakraborty, Supriyo, Dewan, Pranita, Srivatsa, Mudhakar, Tomsett, Richard and Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 2018. Reasoning and learning services for coalition situational understanding. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX (SPIE Defense and Commercial Sensing Conference 10635), Orlando, USA, 16-18 April 2018. Published in: Kolodny, Michael A., Wiegmann, Dietrich M. and Pham, Tien eds. Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX. SPIE, 10.1117/12.2307009
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Harborne, Daniel, Willis, Chris, Tomsett, Richard and Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 2018. Integrating learning and reasoning services for explainable information fusion. Presented at: ICPRAI 2018 - International Conference on Pattern Recognition and Artificial Intelligence, Montreal, Canada, 14-17 May 2018.
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Tomsett, Richard, Braines, David, Harborne, Daniel, Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 and Chakraborty, Supriyo 2018. Interpretable to whom? A role-based model for analyzing interpretable machine learning systems. Presented at: 3rd Annual Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden, 14 July 2018.
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Simpkin, Christopher, Taylor, Ian ORCID: https://orcid.org/0000-0001-5040-0772, Harborne, Daniel, Bent, Graham, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057 and Ganti, Raghu k 2018. Dynamic distributed orchestration of Node-RED IOT workflows using a vector symbolic architecture. Presented at: WORKS 2018, Dallas Texas, 11-16 November 2018.
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Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057, Harborne, Daniel, Braines, David, Tomsett, Richard and Chakraborty 2018. Stakeholders in explainable AI. Presented at: AAAI FSS-18: Artificial Intelligence in Government and Public Sector Proceedings, Arlington, VA, USA, 18-20 October 2018.
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Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057, Harborne, Daniel, Raghavendra, Tomsett, Richard and Braines, David 2018. Provisioning robust and interpretable AI/ML-based service bundles. Presented at: MILCOM 2018, Los Angeles, USA, October 29 - 31, 2018.
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Braines, Dave, O'Leary, Nick, Thomas, Anna, Harborne, Daniel, Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 and Webberley, William M. 2017. Conversational homes: a uniform natural language approach for collaboration among humans and devices. International Journal on Advances in Intelligent Systems 10 (3/4) , pp. 223-237.
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Chakraborty, Supriyo, Tomsett, Richard, Raghavendra, Ramya, Harborne, Daniel, Alzantot, Moustafa, Cerutti, Federico ORCID: https://orcid.org/0000-0003-0755-0358, Srivastava, Mani, Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057, Julier, Simon, Rao, Raghuveer M., Kelley, Troy D., Braines, David, Sensoy, Murat, Willis, Christopher J. and Gurram, Prudhvi 2017. Interpretability of deep learning models: a survey of results. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations, San Francisco, CA, USA, 7-8 August 2017.
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Nottle, Alistair, Harborne, Daniel, Braines, David, Alzantot, Moustafa, Quintana-Amate, Santiago, Tomsett, Richard, Kaplan, Lance, Srivastava, Mani, Chakraborty, Supriyo and Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 2017. Distributed opportunistic sensing and fusion for traffic congestion detection. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations, San Francisco, CA, USA, 7-8 August 2017.
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This list was generated on Sat Nov 8 11:15:03 2025 GMT.


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