| A framework for inferring predictive distributions of rhino poaching events through causal modelling H Koen, JP de Villiers, G Pavlin, A de Waal, P de Oude, F Mignet 17th International Conference on Information Fusion (FUSION), 1-7, 2014 | 26 | 2014 |
| An expert-driven causal model of the rhino poaching problem H Koen, JP de Villiers, H Roodt, A de Waal Ecological Modelling 347, 29-39, 2017 | 24 | 2017 |
| Construction and evaluation of Bayesian networks with expert-defined latent variables A de Waal, H Koen, P de Villiers, H Roodt, N Moorosi, G Pavlin 2016 19th International Conference on Information Fusion (FUSION), 774-781, 2016 | 19 | 2016 |
| Predictive policing in an endangered species context: combating rhino poaching in the Kruger National Park HS Koen University of Pretoria, 2017 | 9 | 2017 |
| A Review of Hurdles to Adopting Industry 4.0 in Developing Countries JH Roodt, H Koen INCOSE International Symposium 30 (1), 1079-1092, 2020 | 8 | 2020 |
| Engineering Design of an Environmental Management System: A Transdisciplinary Response to the Rhino Poaching Problem H Roodt, H Koen INCOSE International Symposium 24 (s1), 346-359, 2014 | 8 | 2014 |
| A prologue to estimating the intent of a potential rhino poacher H Mouton, JP De Villiers Journal of Information Warfare 11 (3), 7-16, 2012 | 6 | 2012 |
| A prologue to estimating the intent of a potential rhino poacher H Mouton, JP De Villiers 4th Workshop on ICT Uses in Warfare and the Safeguarding of Peace (IWSP), 2012 | 6 | 2012 |
| System-level causal modelling of widescale resource plundering: Acting on the rhino poaching catastrophe H Koen, H Roodt, JP De Villiers Futures 93, 102-114, 2017 | 4 | 2017 |
| Using topic modelling to analyse bus route data HS Koen, JC Cornelius, R Oosthuizen | | 2022 |
