Interpretability of deep learning models: A survey of results. - Supriyo Chakraborty; Richard Tomsett; Ramya Raghavendra; Daniel Harborne; Moustafa Alzantot; Federico Cerutti 001; Mani B. Srivastava; Alun D. Preece; Simon Julier; Raghuveer M. Rao; Troy D. Kelley; Dave Braines; et al. (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Distributed opportunistic sensing and fusion for traffic congestion detection. - Alistair Nottle; Daniel Harborne; Dave Braines; Moustafa Alzantot; Santiago Quintana-Amate; Richard Tomsett; Lance M. Kaplan; Mani B. Srivastava; Supriyo Chakraborty; Alun D. Preece (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis. - Federico Cerutti 001; Moustafa Alzantot; Tianwei Xing; Daniel Harborne; Jonathan Z. Bakdash; Dave Braines; Supriyo Chakraborty; Lance M. Kaplan; Angelika Kimmig; Alun D. Preece; Ramya Raghavendra; Murat Sensoy; et al. (FUSION, 2018)

Developing an Objective Indicator of Fatigue: An Alternative Mobile Version of the Psychomotor Vigilance Task (m-PVT). - Michael Scott Evans; Daniel Harborne; Andrew P. Smith 004 (H-WORKLOAD, 2018)

Conversational Control Interface to Facilitate Situational Understanding in a City Surveillance Setting. - Daniel Harborne; Dave Braines; Alun D. Preece; Rafal Rzepka (LaCATODA@IJCAI, 2018)

Provisioning Robust and Interpretable AI/ML-Based Service Bundles. - Alun D. Preece; Dan Harborne; Ramya Raghavendra; Richard Tomsett; Dave Braines (MILCOM, 2018)

Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems. - Richard Tomsett; Dave Braines; Dan Harborne; Alun D. Preece; Supriyo Chakraborty (CoRR, 2018)

Stakeholders in Explainable AI. - Alun D. Preece; Dan Harborne; Dave Braines; Richard Tomsett; Supriyo Chakraborty (CoRR, 2018)

Feature Importance Identification through Bottleneck Reconstruction. - Linsong Chu; Ramya Raghavendra; Mudhakar Srivatsa; Alun D. Preece; Daniel Harborne (ICCC, 2019)

Demonstration of Dynamic Distributed Orchestration of Node-RED IoT Workflows Using a Vector Symbolic Architecture. - Richard Tomsett; Graham A. Bent; Christopher Simpkin; Ian J. Taylor; Daniel Harborne; Alun D. Preece; Raghu K. Ganti (SMARTCOMP, 2019)

Sanity Checks for Saliency Metrics. - Richard Tomsett; Dan Harborne; Supriyo Chakraborty; Prudhvi Gurram; Alun D. Preece (AAAI, 2020)

Efficient orchestration of Node-RED IoT workflows using a Vector Symbolic Architecture. - Chris Simpkin; Ian J. Taylor; Daniel Harborne; Graham A. Bent; Alun D. Preece; Raghu K. Ganti (Future Gener. Comput. Syst., 2020)