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Harrison Taylor

A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions


Mar 05, 2021
Iain Barclay, Harrison Taylor, Alun Preece, Ian Taylor, Dinesh Verma, Geeth de Mel

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* This is the pre-peer reviewed version of the following article: Barclay I, Taylor H, Preece A, Taylor I, Verma D, de Mel G. A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions. Concurrency Computat Pract Exper. 2020;e6129. arXiv admin note: substantial text overlap with arXiv:1907.03483 
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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

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* Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA 
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A Hybrid Neuro-Symbolic Approach for Complex Event Processing


Sep 18, 2020
Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani Srivastava, Lance Kaplan, Alun Preece, Angelika Kimmig, Federico Cerutti

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* Accepted as extended abstract at ICLP2020 
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A Hybrid Neuro-Symbolic Approach for Complex EventProcessing


Sep 07, 2020
Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani Srivastava, Lance Kaplan, Alun Preece, Angelika Kimmig, Federico Cerutti

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* Accepted as extended abstract at ICLP2020 
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Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition


Aug 14, 2019
Liam Hiley, Alun Preece, Yulia Hicks, David Marshall, Harrison Taylor

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* 5 pages, 2 figures, published at IJCAI19 ExAI workshop 
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