| Gaussian process occupancy maps ST O’Callaghan, FT Ramos The International Journal of Robotics Research 31 (1), 42-62, 2012 | 271 | 2012 |
| Census of seafloor sediments in the world’s ocean A Dutkiewicz, RD Müller, S O’Callaghan, H Jónasson Geology 43 (9), 795-798, 2015 | 174 | 2015 |
| Contextual occupancy maps using Gaussian processes S O'Callaghan, FT Ramos, H Durrant-Whyte 2009 IEEE International Conference on Robotics and Automation, 1054-1060, 2009 | 102 | 2009 |
| Predicting spatio-temporal propagation of seasonal influenza using variational Gaussian process regression R Senanayake, S O'Callaghan, F Ramos Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 73 | 2016 |
| Learning navigational maps by observing human motion patterns ST O'Callaghan, SPN Singh, A Alempijevic, FT Ramos 2011 IEEE International Conference on Robotics and Automation, 4333-4340, 2011 | 71 | 2011 |
| The impact of computerisation and automation on future employment H Durrant-Whyte, L McCalman, S O’Callaghan, A Reid, D Steinberg Australia’s future workforce, 56-64, 2015 | 57 | 2015 |
| Multi-modal estimation with kernel embeddings for learning motion models L McCalman, S O'Callaghan, F Ramos 2013 IEEE International Conference on Robotics and Automation, 2845-2852, 2013 | 39 | 2013 |
| Continuous occupancy mapping with integral kernels S O'Callaghan, F Ramos Proceedings of the AAAI conference on artificial intelligence 25 (1), 1494-1500, 2011 | 35 | 2011 |
| Controls on the distribution of deep‐sea sediments A Dutkiewicz, S O'callaghan, RD Müller Geochemistry, Geophysics, Geosystems 17 (8), 3075-3098, 2016 | 34 | 2016 |
| Learning highly dynamic environments with stochastic variational inference R Senanayake, S O'Callaghan, F Ramos 2017 IEEE International Conference on Robotics and Automation (ICRA), 2532-2539, 2017 | 31 | 2017 |
| Spatio-temporal hilbert maps for continuous occupancy representation in dynamic environments R Senanayake, L Ott, S O'Callaghan, FT Ramos Advances in Neural Information Processing Systems 29, 2016 | 30 | 2016 |
| Predicting sediment thickness on vanished ocean crust since 200 Ma A Dutkiewicz, RD Müller, X Wang, S O'callaghan, J Cannon, NM Wright Geochemistry, Geophysics, Geosystems 18 (12), 4586-4603, 2017 | 29 | 2017 |
| Fast fair regression via efficient approximations of mutual information D Steinberg, A Reid, S O'Callaghan, F Lattimore, L McCalman, T Caetano arXiv preprint arXiv:2002.06200, 2020 | 26 | 2020 |
| Gaussian process occupancy maps for dynamic environments ST O’Callaghan, FT Ramos Experimental Robotics: The 14th International Symposium on Experimental …, 2016 | 24 | 2016 |
| Contextual occupancy maps incorporating sensor and location uncertainty ST O'Callaghan, FT Ramos, H Durrant-Whyte 2010 IEEE International Conference on Robotics and Automation, 3478-3485, 2010 | 22* | 2010 |
| Distributed Bayesian Geophysical Inversions L McCalman, ST O’Callaghan, A Reid, D Shen, S Carter, L Krieger, ... | 18 | 2014 |
| Bayesian joint inversions for the exploration of earth resources AS Reid, S O’Callaghan, E Bonilla, L McCalman, T Rawling, F Ramos Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 17 | 2013 |
| Fairness measures for regression via probabilistic classification D Steinberg, A Reid, S O'Callaghan arXiv preprint arXiv:2001.06089, 2020 | 13 | 2020 |
| A Bayesian inference tool for geophysical joint inversions G Beardsmore, H Durrant-Whyte, L McCalman, S O’Callaghan, A Reid ASEG Extended Abstracts 2016 (1), 1-10, 2016 | 12 | 2016 |
| Using artificial intelligence to make decisions: Addressing the problem of algorithmic bias F Lattimore, S O'Callaghan, Z Paleologos, A Reid, E Santow, H Sargeant, ... Australian Human Rights Commission, 2020 | 9 | 2020 |
Fabio RamosUniversity of Sydney and NVIDIADirección de correo verificada de sydney.edu.au