Non-monotonic Logical Reasoning and Deep Learning for Explainable Visual Question Answering. - Heather Riley; Mohan Sridharan (HAI, 2018)

Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering. - Heather Riley; Mohan Sridharan (CoRR, 2019)

Integrating Non-monotonic Logical Reasoning and Inductive Learning With Deep Learning for Explainable Visual Question Answering. - Heather Riley; Mohan Sridharan (Frontiers Robotics AI, 2019)

Towards a Theory of Intentions for Human-Robot Collaboration. - Rocío Gómez; Mohan Sridharan; Heather Riley (EUMAS/AT, 2020)

Integrating Deep Learning and Non-monotonic Logical Reasoning for Explainable Visual Question Answering. - Mohan Sridharan; Heather Riley (EUMAS/AT, 2020)

What do you really want to do? Towards a Theory of Intentions for Human-Robot Collaboration. - Rocío Gómez; Mohan Sridharan; Heather Riley (Ann. Math. Artif. Intell., 2021)

A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic. - Joe Hilton; Heather Riley; Lorenzo Pellis; Rabia Aziza; Samuel P. C. Brand; Ivy K. Kombe; John Ojal; Andrea Parisi; Matt J. Keeling; D. James Nokes; Robert Manson-Sawko; Thomas A. House (PLoS Comput. Biol., 2022)

Novel methods for estimating the instantaneous and overall COVID-19 case fatality risk among care home residents in England. - Christopher E. Overton; Luke Webb; Uma Datta; Mike Fursman; Jo Hardstaff; Iina Hiironen; Karthik Paranthaman; Heather Riley; James Sedgwick; Julia Verne; Steve Willner; Lorenzo Pellis; et al. (PLoS Comput. Biol., 2022)