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2020 – today
- 2020
[j1]Chris Simpkin, Ian J. Taylor, Daniel Harborne, Graham A. Bent, Alun D. Preece, Raghu K. Ganti:
Efficient orchestration of Node-RED IoT workflows using a Vector Symbolic Architecture. Future Gener. Comput. Syst. 111: 117-131 (2020)- [c9]Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece:
Sanity Checks for Saliency Metrics. AAAI 2020: 6021-6029
2010 – 2019
- 2019
- [c8]Linsong Chu, Ramya Raghavendra, Mudhakar Srivatsa, Alun D. Preece, Daniel Harborne:
Feature Importance Identification through Bottleneck Reconstruction. ICCC 2019: 64-66 - [c7]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: 464-467 - [i3]Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece:
Sanity Checks for Saliency Metrics. CoRR abs/1912.01451 (2019) - 2018
- [c6]Federico Cerutti
, 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, Mani B. Srivastava:
Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis. FUSION 2018: 1-8 - [c5]Michael Scott Evans, Daniel Harborne, Andrew P. Smith:
Developing an Objective Indicator of Fatigue: An Alternative Mobile Version of the Psychomotor Vigilance Task (m-PVT). H-WORKLOAD 2018: 49-71 - [c4]Daniel Harborne, Dave Braines, Alun D. Preece, Rafal Rzepka:
Conversational Control Interface to Facilitate Situational Understanding in a City Surveillance Setting. LaCATODA@IJCAI 2018: 59-66 - [c3]Alun D. Preece, Dan Harborne, Ramya Raghavendra, Richard Tomsett, Dave Braines:
Provisioning Robust and Interpretable AI/ML-Based Service Bundles. MILCOM 2018: 1-9 - [i2]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 abs/1806.07552 (2018) - [i1]Alun D. Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty:
Stakeholders in Explainable AI. CoRR abs/1810.00184 (2018) - 2017
- [c2]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: 1-6 - [c1]Alistair Nottle, 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: 1-6
Coauthor Index
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