Richard Tomsett

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 17

Top Topics

Saliency Estimation

Traffic Congestion

General Intelligence

Top Venues

SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI

Publications

Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece
Sanity Checks for Saliency Metrics. AAAI (2020)
Liam Hiley, Alun D. Preece, Yulia Hicks, Supriyo Chakraborty, Prudhvi Gurram, Richard Tomsett
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models. CoRR (2020)
Richard Tomsett, Alun D. Preece, Dave Braines, Federico Cerutti, Supriyo Chakraborty, Mani B. Srivastava, Gavin Pearson, Lance M. Kaplan
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI. Patterns 1 (4) (2020)
Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making. CoRR (2020)
Deboleena Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, Richard Tomsett, Nirmit Desai, Raghu K. Ganti, Kaushik Roy
Neural Networks at the Edge. SMARTCOMP (2019)
Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece
Sanity Checks for Saliency Metrics. CoRR (2019)
Richard Tomsett, Graham A. Bent, Christopher Simpkin, Ian J. Taylor, Daniel Harborne, Alun D. Preece, Raghu K. Ganti
Demonstration of Dynamic Distributed Orchestration of Node-RED IoT Workflows Using a Vector Symbolic Architecture. SMARTCOMP (2019)
Dave Braines, Richard Tomsett, Alun D. Preece
Supporting User Fusion of AI Services through Conversational Explanations. FUSION (2019)
Chris Simpkin, Ian J. Taylor, Alun D. Preece, Graham A. Bent, Richard Tomsett, Raghu K. Ganti, Olwen Worthington
Coalition C3 Information Exchange Using Binary Symbolic Vectors. MILCOM (2019)
David Mott, Richard Tomsett
Illuminated Decision Trees with Lucid. CoRR (2019)
Richard Tomsett, Dave Braines, Dan Harborne, Alun D. Preece, Supriyo Chakraborty
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems. CoRR (2018)
Alun D. Preece, Dan Harborne, Ramya Raghavendra, Richard Tomsett, Dave Braines
Provisioning Robust and Interpretable AI/ML-Based Service Bundles. MILCOM (2018)
Richard Tomsett, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer M. Rao, Mani B. Srivastava
Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning. FUSION (2018)
Alun D. Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty
Stakeholders in Explainable AI. CoRR (2018)
Alistair Notile, Daniel Harborne, Dave Braines, Moustafa Alzantot, Santiago Quintana-Amate, Richard Tomsett, Lance M. Kaplan, Mani B. Srivastava, Supriyo Chakraborty, Alun D. Preece
Distributed opportunistic sensing and fusion for traffic congestion detection. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
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
Interpretability of deep learning models: A survey of results. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)