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)

Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning. - Richard Tomsett; Amy Widdicombe; Tianwei Xing; Supriyo Chakraborty; Simon Julier; Prudhvi Gurram; Raghuveer M. Rao; Mani B. Srivastava (FUSION, 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)

Supporting User Fusion of AI Services through Conversational Explanations. - Dave Braines; Richard Tomsett; Alun D. Preece (FUSION, 2019)

Coalition C3 Information Exchange Using Binary Symbolic Vectors. - Chris Simpkin; Ian J. Taylor; Alun D. Preece; Graham A. Bent; Richard Tomsett; Raghu K. Ganti; Olwen Worthington (MILCOM, 2019)

Neural Networks at the Edge. - Deboleena Roy; Gopalakrishnan Srinivasan; Priyadarshini Panda; Richard Tomsett; Nirmit Desai; Raghu K. Ganti; Kaushik Roy 001 (SMARTCOMP, 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)

Illuminated Decision Trees with Lucid. - David Mott; Richard Tomsett (CoRR, 2019)

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

Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models. - Liam Hiley; Alun D. Preece; Yulia Hicks; Supriyo Chakraborty; Prudhvi Gurram; Richard Tomsett (CoRR, 2020)

Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI. - Richard Tomsett; Alun D. Preece; Dave Braines; Federico Cerutti 001; Supriyo Chakraborty; Mani B. Srivastava; Gavin Pearson; Lance M. Kaplan (Patterns, 2020)

Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making. - Charvi Rastogi; Yunfeng Zhang; Dennis Wei; Kush R. Varshney; Amit Dhurandhar; Richard Tomsett (Proc. ACM Hum. Comput. Interact., 2022)