Harrison Taylor

According to our database, Harrison Taylor authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings.

Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti

Expert Syst. Appl., April, 2023

2021

Using DeepProbLog to perform Complex Event Processing on an Audio Stream.

Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti

CoRR, 2021

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

Iain Barclay, Harrison Taylor, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma, Geeth de Mel

Concurr. Comput. Pract. Exp., 2021

2020

An Experimentation Platform for Explainable Coalition Situational Understanding.

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

CoRR, 2020

A Hybrid Neuro-Symbolic Approach for Complex Event Processing.

Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti

CoRR, 2020

VADR: Discriminative Multimodal Explanations for Situational Understanding.

Harrison Taylor, Liam Hiley, Jack Furby, Alun D. Preece, Dave Braines

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition.

Liam Hiley, Alun D. Preece, Yulia Hicks, A. David Marshall, Harrison Taylor

CoRR, 2019