Richard Tomsett

17 papers A* 1B 2C 2Journal 8Unranked 4

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