| 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 | 50 | 2016 |
| Maritime piracy situation modelling with dynamic Bayesian networks JJ Dabrowski, JP De Villiers Information fusion 23, 116-130, 2015 | 49 | 2015 |
| 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 | 27 | 2020 |
| 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 | 26 | 2018 |
| 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 | 22 | 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 | 17 | 2015 |
| 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 | 10 | 2018 |
| 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 | 9 | 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 | 8 | 2020 |
| 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 | 7 | 2017 |
| 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 |
| Sequence-to-sequence imputation of missing sensor data JJ Dabrowski, A Rahman Australasian Joint Conference on Artificial Intelligence, 265-276, 2019 | 5 | 2019 |
| 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 | 2 | 2021 |
| 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 |
| 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 |
| An Emulation Framework for Fire Front Spread A Bolt, JJ Dabrowski, C Huston, P Kuhnert arXiv preprint arXiv:2203.12160, 2022 | | 2022 |
| Deep Learning for Prawn Farming JJ Dabrowski, A Rahman, A Hellicar, M Rana, S Arnold Pacific-Asia Conference on Knowledge Discovery and Data Mining, 29-41, 2022 | | 2022 |
| 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
