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An Experimentation Platform for Explainable Coalition Situational Understanding


Nov 09, 2020
Katie Barrett-Powell, Jack Furby, Liam Hiley, Marc Roig Vilamala, Harrison Taylor, Federico Cerutti, Alun Preece, Tianwei Xing, Luis Garcia, Mani Srivastava, Dave Braines

* Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA 

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Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams


Oct 23, 2020
Dave Braines, Federico Cerutti, Marc Roig Vilamala, Mani Srivastava, Lance Kaplan Alun Preece, Gavin Pearson

* Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA 

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Explainable AI for Intelligence Augmentation in Multi-Domain Operations


Oct 16, 2019
Alun Preece, Dave Braines, Federico Cerutti, Tien Pham

* Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA 

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gl2vec: Learning Feature Representation Using Graphlets for Directed Networks


Dec 13, 2018
Kun Tu, Jian Li, Don Towsley, Dave Braines, Liam Turner


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Hows and Whys of Artificial Intelligence for Public Sector Decisions: Explanation and Evaluation


Oct 19, 2018
Alun Preece, Rob Ashelford, Harry Armstrong, Dave Braines

* Presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA; corrected typos in this version 

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Stakeholders in Explainable AI


Sep 29, 2018
Alun Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty

* Presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA 

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Network Classification in Temporal Networks Using Motifs


Aug 07, 2018
Kun Tu, Jian Li, Don Towsley, Dave Braines, Liam D. Turner


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Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems


Jun 20, 2018
Richard Tomsett, Dave Braines, Dan Harborne, Alun Preece, Supriyo Chakraborty

* presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden 

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