| Systemic banking crisis early warning systems using dynamic Bayesian networks JJ Dabrowski, C Beyers, JP de Villiers Expert systems with applications 62, 225-242, 2016 | 49 | 2016 |
| Maritime piracy situation modelling with dynamic Bayesian networks JJ Dabrowski, JP De Villiers Information fusion 23, 116-130, 2015 | 47 | 2015 |
| State space models for forecasting water quality variables: an application in aquaculture prawn farming JJ Dabrowski, A Rahman, A George, S Arnold, J McCulloch Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 25 | 2018 |
| Dissolved oxygen prediction in prawn ponds from a group of one step predictors A Rahman, J Dabrowski, J McCulloch Information Processing in Agriculture 7 (2), 307-317, 2020 | 20 | 2020 |
| A unified model for context-based behavioural modelling and classification JJ Dabrowski, JP De Villiers Expert Systems with Applications 42 (19), 6738-6757, 2015 | 15 | 2015 |
| ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting JJ Dabrowski, YF Zhang, A Rahman International Conference on Neural Information Processing, 579-591, 2020 | 13 | 2020 |
| Naïve Bayes switching linear dynamical system: A model for dynamic system modelling, classification, and information fusion JJ Dabrowski, JP de Villiers, C Beyers Information Fusion 42, 75-101, 2018 | 8 | 2018 |
| Prediction of dissolved oxygen from pH and water temperature in aquaculture prawn ponds JJ Dabrowski, A Rahman, A George Proceedings of the Australasian joint conference on artificial intelligence …, 2018 | 7 | 2018 |
| Enforcing mean reversion in state space models for prawn pond water quality forecasting JJ Dabrowski, A Rahman, DE Pagendam, A George Computers and Electronics in Agriculture 168, 105120, 2020 | 6 | 2020 |
| Identification of variables affecting production outcome in prawn ponds: A machine learning approach A Rahman, S Arnold, JJ Dabrowski Computers and Electronics in Agriculture 156, 618-626, 2019 | 6 | 2019 |
| Context-based behaviour modelling and classification of marine vessels in an abalone poaching situation JJ Dabrowski, JP de Villiers, C Beyers Engineering Applications of Artificial Intelligence 64, 95-111, 2017 | 6 | 2017 |
| Sequence-to-Sequence Imputation of Missing Sensor Data JJ Dabrowski, A Rahman Australasian Joint Conference on Artificial Intelligence, 265-276, 2019 | 5 | 2019 |
| An integrated framework of sensing, machine learning, and augmented reality for aquaculture prawn farm management A Rahman, M Xi, JJ Dabrowski, J McCulloch, S Arnold, M Rana, A George, ... Aquacultural Engineering 95, 102192, 2021 | 1 | 2021 |
| Machine learning approach to investigate the influence of water quality on aquatic livestock in freshwater ponds M Rana, A Rahman, J Dabrowski, S Arnold, J McCulloch, B Pais Biosystems Engineering 208, 164-175, 2021 | 1 | 2021 |
| Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction JJ Dabrowski, JP de Villiers, A Rahman, C Beyers International Conference on Neural Information Processing, 458-465, 2019 | 1 | 2019 |
| Contextual behavioural modelling and classification of vessels in a maritime piracy situation JJ Dabrowski University of Pretoria, 2014 | 1 | 2014 |
| Image and Video Technology: PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18–22, 2019, Revised Selected Papers JJ Dabrowski, A Rahman, M Paul Springer Nature, 2020 | | 2020 |
Ashfaqur RahmanTeam Leader and Principal Research Scientist, Data61, CSIRO, Senior Member, IEEEVerified email at csiro.au
