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Browse by Current Cardiff authors

Number of items: 15.

Simpkin, Chris, Taylor, Ian, Harborne, Daniel, Bent, Graham, Preece, Alun 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. 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.

Evans, Michael, Harborne, Daniel and Smith, Andrew 2019. Developing an objective indicator of fatigue: An alternative mobile version of the psychomotor vigilance task (m-PVT). In: 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. 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 Springer Verlag, pp. 49-71. 10.1007/978-3-030-14273-5_4

Braines, Dave, Preece, Alun 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 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.

Harborne, Daniel, Raghavendra, Ramya, Willis, Chris, Chakraborty, Supriyo, Dewan, Pranita, Srivatsa, Mudhakar, Tomsett, Richard and Preece, Alun David 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

Harborne, Daniel, Willis, Chris, Tomsett, Richard and Preece, Alun David 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.

Tomsett, Richard, Braines, David, Harborne, Daniel, Preece, Alun David 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.

Preece, Alun, 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.

Preece, Alun, 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.

Simpkin, Christopher, Taylor, Ian, Harborne, Daniel, Bent, Graham, Preece, Alun 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.

Braines, Dave, O'Leary, Nick, Thomas, Anna, Harborne, Daniel, Preece, Alun David 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.

Nottle, Alistair, Harborne, Daniel, Braines, David, Alzantot, Moustafa, Quintana-Amate, Santiago, Tomsett, Richard, Kaplan, Lance, Srivastava, Mani, Chakraborty, Supriyo and Preece, Alun David 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.

Chakraborty, Supriyo, Tomsett, Richard, Raghavendra, Ramya, Harborne, Daniel, Alzantot, Moustafa, Cerutti, Federico, Srivastava, Mani, Preece, Alun David, 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.

This list was generated on Sun Oct 25 04:04:03 2020 GMT.

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