Interpretability of deep learning models: a survey of results

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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Item Type:	Conference or Workshop Item (Paper)
Date Type:	Completion
Status:	Unpublished
Schools:	Computer Science & Informatics Crime and Security Research Institute (CSURI)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Related URLs:	Organisation
Date of First Compliant Deposit:	16 June 2017
Last Modified:	02 Nov 2022 11:17
URI:	https://orca.cardiff.ac.uk/id/eprint/101500

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