Richard Tomsett

According to our database, Richard Tomsett authored at least 15 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

2020

Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI.

Richard Tomsett, Alun D. Preece, Dave Braines, Federico Cerutti, Supriyo Chakraborty, Mani B. Srivastava, Gavin Pearson, Lance M. Kaplan

Patterns, 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

Sanity Checks for Saliency Metrics.

Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Illuminated Decision Trees with Lucid.

David Mott, Richard Tomsett

CoRR, 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

Proceedings of the IEEE International Conference on Smart Computing, 2019

Neural Networks at the Edge.

Deboleena Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, Richard Tomsett, Nirmit Desai, Raghu K. Ganti, Kaushik Roy

Proceedings of the IEEE International Conference on Smart Computing, 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

Proceedings of the 2019 IEEE Military Communications Conference, 2019

Supporting User Fusion of AI Services through Conversational Explanations.

Dave Braines, Richard Tomsett, Alun D. Preece

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

Stakeholders in Explainable AI.

Alun D. Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty

CoRR, 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

Provisioning Robust and Interpretable AI/ML-Based Service Bundles.

Alun D. Preece, Dan Harborne, Ramya Raghavendra, Richard Tomsett, Dave Braines

Proceedings of the 2018 IEEE Military Communications Conference, 2018

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

Proceedings of the 21st International Conference on Information Fusion, 2018

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

Proceedings of the 2017 IEEE SmartWorld, 2017

Interpretability of deep learning models: A survey of results.

Supriyo Chakraborty, Richard Tomsett, Ramya Raghavendra, Daniel Harborne, Moustafa Alzantot, Federico Cerutti, Mani B. Srivastava, Alun D. Preece, Simon Julier, Raghuveer M. Rao, Troy D. Kelley, Dave Braines, Murat Sensoy, Christopher J. Willis, Prudhvi Gurram

Proceedings of the 2017 IEEE SmartWorld, 2017