| A smartphone-based ASR data collection tool for under-resourced languages NJ De Vries, MH Davel, J Badenhorst, WD Basson, F De Wet, E Barnard, ... Speech communication 56, 119-131, 2014 | 144 | 2014 |
| Modelling cheetah relocation success in southern Africa using an Iterative Bayesian Network Development Cycle S Johnson, K Mengersen, A de Waal, K Marnewick, D Cilliers, AM Houser, ... Ecological Modelling 221 (4), 641-651, 2010 | 89 | 2010 |
| A comparison of the performance of latent Dirichlet allocation and the Dirichlet multinomial mixture model on short text J Mazarura, A De Waal 2016 Pattern Recognition Association of South Africa and Robotics and …, 2016 | 70 | 2016 |
| Combining Morphological Analysis and Bayesian Networks for Strategic Decision Support A De Waal, T Ritchey ORiON 23 (2), 105-121, 2007 | 54 | 2007 |
| Woefzela-an open-source platform for ASR data collection in the developing world NJ De Vries, J Badenhorst, MH Davel, E Barnard, A De Waal Conference paper, 2011 | 48 | 2011 |
| Evaluating topic models with stability A De Waal, E Barnard PRASA 2008, 2008 | 47 | 2008 |
| Activity-based travel demand generation using Bayesian networks JW Joubert, A De Waal Transportation Research Part C: Emerging Technologies 120, 102804, 2020 | 44 | 2020 |
| A taxonomy of explainable Bayesian networks IP Derks, A De Waal Artificial Intelligence Research: First Southern African Conference for AI …, 2020 | 38 | 2020 |
| Uncertainty representation, quantification and evaluation for data and information fusion JP de Villiers, K Laskey, AL Jousselme, E Blasch, A de Waal, G Pavlin, ... 2015 18th International Conference on Information Fusion (Fusion), 50-57, 2015 | 37 | 2015 |
| Specializing CRISP-DM for evidence mining J Venter, A de Waal, C Willers Advances in Digital Forensics III: IFIP International Conference on Digital …, 2007 | 34 | 2007 |
| Uncertainty Representation and Evaluation for Modelling and Decision-making in Information Fusion JP De Villiers, G Pavlin, Jousselme, A.L., S Maskell, A de Waal, K Laskey, ... Journal of Advances in Information Fusion 13 (2), 198-215, 2018 | 27 | 2018 |
| 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 | 25 | 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 | 23 | 2016 |
| Uncertainty evaluation of data and information fusion within the context of the decision loop JP de Villiers, AL Jousselme, A de Waal, G Pavlin, K Laskey, E Blasch, ... 2016 19th International Conference on Information Fusion (FUSION), 766-773, 2016 | 23 | 2016 |
| Explainable Bayesian networks applied to transport vulnerability A De Waal, JW Joubert Expert Systems with Applications 209, 2022 | 22 | 2022 |
| Applying topic modeling to forensic data A de Waal, J Venter, E Barnard IFIP International Conference on Digital Forensics, 115-126, 2008 | 22 | 2008 |
| Quality measurements for mobile data collection in the developing world. J Badenhorst, A de Waal, F De Wet SLTU, 139-145, 2012 | 19 | 2012 |
| Coronavirus disease (COVID-19) case data-South Africa V Marivate, R Arbi, H Combrink, A de Waal, H Dryza, D Egersdorfer, ... Zenodo, 2020 | 18 | 2020 |
| A Gamma‐Poisson Mixture Topic Model for Short Text J Mazarura, A de Waal, P de Villiers Mathematical Problems in Engineering 2020 (1), 4728095, 2020 | 17 | 2020 |