ORCA
Online Research @ CardiffÂ
Browse by Current Cardiff authors
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Number of items: 11.
| 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. |
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| 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. |
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| 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 |
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| 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. |
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| 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. |
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| 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. |
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| 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. |
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| 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. |
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| 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. |
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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 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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| 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. |
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