| Bayesian optimisation for intelligent environmental monitoring R Marchant, F Ramos 2012 IEEE/RSJ international conference on intelligent robots and systems …, 2012 | 210 | 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, 258275, 2017 | 171 | 2017 |
| Bayesian optimisation for informative continuous path planning R Marchant, F Ramos 2014 IEEE International Conference on Robotics and Automation (ICRA), 6136-6143, 2014 | 154 | 2014 |
| Sequential Bayesian optimisation for spatial-temporal monitoring. R Marchant, F Ramos, S Sanner UAI, 553-562, 2014 | 82 | 2014 |
| A case study in model failure? COVID-19 daily deaths and ICU bed utilisation predictions in New York state V Chin, NI Samia, R Marchant, O Rosen, JPA Ioannidis, MA Tanner, ... European Journal of Epidemiology 35, 733-742, 2020 | 74 | 2020 |
| 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 | 60 | 2009 |
| 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 | 53 | 2017 |
| 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 | 40 | 2014 |
| Applying machine learning to criminology: semi-parametric spatial-demographic Bayesian regression R Marchant, S Haan, G Clancey, S Cripps Security Informatics 7, 1-19, 2018 | 23 | 2018 |
| UChile roadrunners 2008 team description paper J Ruiz-del-Solar, P Vallejos, I Parra, J Testart, R Asenjo, PAH Koch, ... RoboCup International Symposium 2008, 2008 | 23 | 2008 |
| 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, ... | 19 | 2017 |
| Bayesian optimisation for solving continuous state-action-observation POMDPs P Morere, R Marchant, F Ramos Advances in Neural Information Processing Systems (NIPS), 2016 | 19 | 2016 |
| 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 | 18 | 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 | 18 | 2018 |
| Hierarchical word mover distance for collaboration recommender system C Sun, KTJ Ng, P Henville, R Marchant Data Mining: 16th Australasian Conference, AusDM 2018, Bahrurst, NSW …, 2019 | 10 | 2019 |
| A portable ground-truth system based on a laser sensor R Marchant, P Guerrero, J Ruiz-del-Solar RoboCup 2011: Robot Soccer World Cup XV 15, 234-245, 2012 | 10 | 2012 |
| Cooperative global tracking using multiple sensors R Marchant, P Guerrero, J Ruiz-del-Solar RoboCup 2012: Robot Soccer World Cup XVI 16, 310-321, 2013 | 8 | 2013 |
| 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 | 7 | 2023 |
| Designing fall sequences that minimize robot damage in robot soccer J Ruiz-del-Solar, R Palma-Amestoy, P Vallejos, R Marchant, P Zegers RoboCup 2008: Robot Soccer World Cup XII 12, 271-283, 2009 | 6 | 2009 |
Fabio RamosUniversity of Sydney and NVIDIAVerified email at sydney.edu.au
