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)

VADR: Discriminative Multimodal Explanations for Situational Understanding. - Harrison Taylor; Liam Hiley; Jack Furby; Alun D. Preece; Dave Braines (FUSION, 2020)

A Hybrid Neuro-Symbolic Approach for Complex Event Processing. - Marc Roig Vilamala; Harrison Taylor; Tianwei Xing; Luis Garcia 001; Mani B. Srivastava; Lance M. Kaplan; Alun D. Preece; Angelika Kimmig; Federico Cerutti 001 (CoRR, 2020)

An Experimentation Platform for Explainable Coalition Situational Understanding. - Katie Barrett-Powell; Jack Furby; Liam Hiley; Marc Roig Vilamala; Harrison Taylor; Federico Cerutti 001; Alun D. Preece; Tianwei Xing; Luis Garcia 001; Mani B. Srivastava; Dave Braines (CoRR, 2020)

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)

Using DeepProbLog to perform Complex Event Processing on an Audio Stream. - Marc Roig Vilamala; Tianwei Xing; Harrison Taylor; Luis Garcia 001; Mani B. Srivastava; Lance M. Kaplan; Alun D. Preece; Angelika Kimmig; Federico Cerutti 001 (CoRR, 2021)

DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings. - Marc Roig Vilamala; Tianwei Xing; Harrison Taylor; Luis Garcia 001; Mani Srivastava 001; Lance M. Kaplan; Alun D. Preece; Angelika Kimmig; Federico Cerutti 001 (Expert Syst. Appl., 2023)