| The role of nitrogen oxides in human adaptation to hypoxia DZ Levett, BO Fernandez, HL Riley, DS Martin, K Mitchell, CA Leckstrom, ... Scientific reports 1 (1), 109, 2011 | 157 | 2011 |
| Effects of prolonged exposure to hypobaric hypoxia on oxidative stress, inflammation and gluco-insular regulation: the not-so-sweet price for good regulation M Siervo, HL Riley, BO Fernandez, CA Leckstrom, DS Martin, K Mitchell, ... PLoS One 9 (4), e94915, 2014 | 64 | 2014 |
| A second update on mapping the human genetic architecture of COVID-19 M Kanai, SJ Andrews, M Cordioli, C Stevens, BM Neale, M Daly, A Ganna, ... Nature 621 (7977), E7-E26, 2023 | 46 | 2023 |
| Does hypoxia play a role in the development of sarcopenia in humans? Mechanistic insights from the Caudwell Xtreme Everest Expedition L Wandrag, M Siervo, HL Riley, M Khosravi, BO Fernandez, ... Redox biology 13, 60-68, 2017 | 43 | 2017 |
| Integrating non-monotonic logical reasoning and inductive learning with deep learning for explainable visual question answering H Riley, M Sridharan Frontiers in Robotics and AI 6, 125, 2019 | 31 | 2019 |
| Inferring risks of coronavirus transmission from community household data T House, H Riley, L Pellis, KB Pouwels, S Bacon, A Eidukas, ... Statistical methods in medical research 31 (9), 1738-1756, 2022 | 29 | 2022 |
| What do you really want to do? Towards a Theory of Intentions for Human-Robot Collaboration R Gomez, M Sridharan, H Riley Annals of Mathematics and Artificial Intelligence 89, 179-208, 2021 | 19 | 2021 |
| Hypoxia modulates platelet purinergic signalling pathways GG Paterson, JM Young, JA Willson, CJ Graham, RC Dru, EW Lee, ... Thrombosis and Haemostasis 120 (02), 253-261, 2020 | 17 | 2020 |
| A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic J Hilton, H Riley, L Pellis, R Aziza, SPC Brand, I K. Kombe, J Ojal, A Parisi, ... PLoS computational biology 18 (9), e1010390, 2022 | 9 | 2022 |
| Non-monotonic logical reasoning and deep learning for explainable visual question answering H Riley, M Sridharan Proceedings of the 6th International Conference on Human-Agent Interaction …, 2018 | 7 | 2018 |
| Novel methods for estimating the instantaneous and overall COVID-19 case fatality risk among care home residents in England CE Overton, L Webb, U Datta, M Fursman, J Hardstaff, I Hiironen, ... PLOS Computational Biology 18 (10), e1010554, 2022 | 5 | 2022 |
| Caudwell Xtreme Everest Research Group Effects of prolonged exposure to hypobaric hypoxia on oxidative stress, inflammation and gluco-insular regulation: the not-so-sweet price … M Siervo, HL Riley, BO Fernandez, CA Leckstrom, DS Martin, K Mitchell, ... PLoS One 9, e94915, 2014 | 5 | 2014 |
| Representing and reasoning with intentional actions on a robot R Gomez, M Sridharan, H Riley ICAPS Workshop on Planning and Robotics (PlanRob), Delft, Netherlands, 2018 | 4 | 2018 |
| Caudwell Extreme Everest Research G.(2011). The role of nitrogen oxides in human adaptation to hypoxia DZ Levett, BO Fernandez, HL Riley, DS Martin, K Mitchell, CA Leckstrom, ... Scientific reports 1 (1), 109, 0 | 4 | |
| Integrating Deep Learning and Non-monotonic Logical Reasoning for Explainable Visual Question Answering M Sridharan, H Riley Multi-Agent Systems and Agreement Technologies: 17th European Conference …, 2020 | 1 | 2020 |
| Towards a Theory of Intentions for Human-Robot Collaboration R Gomez, M Sridharan, H Riley Multi-Agent Systems and Agreement Technologies: 17th European Conference …, 2020 | | 2020 |
| Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering H Riley, M Sridharan arXiv preprint arXiv:1909.10650, 2019 | | 2019 |
| The advantages of non-monotonic logic in modular architectures: High performance and interpretable outputs with limited training data H Riley University of Auckland, 2019 | | 2019 |
| Hypoxia adaptation and exercise performance at altitude HL Riley University of Warwick, 2012 | | 2012 |
| What do you really want to do? Towards a Theory of Intentions for Human-Robot Collaboration (Integrating Reasoning and Learning) R Gomez, M Sridharan, H Riley | | |
