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Dan Harborne
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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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last updated on 2024-08-05 20:19 CEST by the dblp team
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