| Bayesian optimisation for intelligent environmental monitoring R Marchant, F Ramos 2012 IEEE/RSJ international conference on intelligent robots and systems …, 2012 | 266 | 2012 |
| Predicting the HMA-LMA status in marine sponges by machine learning L Moitinho-Silva, G Steinert, S Nielsen, CCP Hardoim, YC Wu, ... Frontiers in microbiology 8, 752, 2017 | 232 | 2017 |
| Bayesian optimisation for informative continuous path planning R Marchant, F Ramos 2014 IEEE International Conference on Robotics and Automation (ICRA), 6136-6143, 2014 | 198 | 2014 |
| Sequential Bayesian optimisation for spatial-temporal monitoring. R Marchant, F Ramos, S Sanner UAI, 553-562, 2014 | 105 | 2014 |
| A case study in model failure? COVID-19 daily deaths and ICU bed utilisation predictions in New York state: V. Chin et al. V Chin, NI Samia, R Marchant, O Rosen, JPA Ioannidis, MA Tanner, ... European Journal of Epidemiology 35 (8), 733-742, 2020 | 98 | 2020 |
| Sequential Bayesian optimization as a POMDP for environment monitoring with UAVs P Morere, R Marchant, F Ramos 2017 IEEE International Conference on Robotics and Automation (ICRA), 6381-6388, 2017 | 81 | 2017 |
| Learning to fall: Designing low damage fall sequences for humanoid soccer robots J Ruiz-del-Solar, R Palma-Amestoy, R Marchant, I Parra-Tsunekawa, ... Robotics and Autonomous Systems 57 (8), 796-807, 2009 | 66 | 2009 |
| Learning as we go: An examination of the statistical accuracy of COVID19 daily death count predictions R Marchant, NI Samia, O Rosen, MA Tanner, S Cripps arXiv preprint arXiv:2004.04734, 2020 | 48 | 2020 |
| Bayesian optimisation for active perception and smooth navigation JR Souza, R Marchant, L Ott, DF Wolf, F Ramos 2014 IEEE international conference on robotics and automation (ICRA), 4081-4087, 2014 | 44 | 2014 |
| Selection of experimental treatments, methods used and evolution of management guidelines for comparing and measuring three grazed farmlet systems JM Scott, CA Gaden, C Edwards, DR Paull, R Marchant, J Hoad, ... Animal Production Science 53 (8), 628-642, 2013 | 35 | 2013 |
| Predicting the HMA-LMA status in marine sponges by machine learning. Front Microbiol 8: 752 L Moitinho-Silva, G Steinert, S Nielsen, CCP Hardoim, YC Wu, ... | 34 | 2017 |
| Applying machine learning to criminology: semi-parametric spatial-demographic Bayesian regression R Marchant, S Haan, G Clancey, S Cripps Security Informatics 7 (1), 1-19, 2018 | 33 | 2018 |
| Occupancy map building through bayesian exploration G Francis, L Ott, R Marchant, F Ramos The International Journal of Robotics Research 38 (7), 769-792, 2019 | 31 | 2019 |
| Continuous state-action-observation POMDPs for trajectory planning with Bayesian optimisation P Morere, R Marchant, F Ramos 2018 IEEE/RSJ international conference on intelligent robots and systems …, 2018 | 27 | 2018 |
| Bayesian optimisation for solving continuous state-action-observation POMDPs P Morere, R Marchant, F Ramos Advances in Neural Information Processing Systems (NIPS), 2016 | 23 | 2016 |
| UChile RoadRunners 2007 team description paper J Ruiz-del-Solar Proc. RoboCup Symp. Atlanta, GA, 2007, 2007 | 23 | 2007 |
| Livestock weights in response to three whole-farmlet management systems GN Hinch, J Hoad, M Lollback, S Hatcher, R Marchant, A Colvin, JM Scott, ... Animal Production Science 53 (8), 727-739, 2013 | 22 | 2013 |
| The temporal dependencies between social, emotional and physical health factors in young people receiving mental healthcare: a dynamic Bayesian network analysis F Iorfino, M Varidel, R Marchant, S Cripps, J Crouse, A Prodan, R Oliveria, ... Epidemiology and psychiatric sciences 32, e56, 2023 | 20 | 2023 |
| Bayesian network modelling to identify on-ramps to childhood obesity W Zhu, R Marchant, RW Morris, LA Baur, SJ Simpson, S Cripps BMC medicine 21 (1), 105, 2023 | 17 | 2023 |
| Hierarchical word mover distance for collaboration recommender system C Sun, KTJ Ng, P Henville, R Marchant Australasian Conference on Data Mining, 289-302, 2018 | 16 | 2018 |