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Joel Janek Dabrowski
Joel Janek Dabrowski
CSIRO
Verified email at data61.csiro.au - Homepage
Title
Cited by
Cited by
Year
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
502016
Maritime piracy situation modelling with dynamic Bayesian networks
JJ Dabrowski, JP De Villiers
Information fusion 23, 116-130, 2015
492015
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
272020
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 Knowledgeá…, 2018
262018
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
222020
A unified model for context-based behavioural modelling and classification
JJ Dabrowski, JP De Villiers
Expert Systems with Applications 42 (19), 6738-6757, 2015
172015
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 intelligenceá…, 2018
102018
Na´ve 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
92018
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
82020
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
72017
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
62019
Sequence-to-sequence imputation of missing sensor data
JJ Dabrowski, A Rahman
Australasian Joint Conference on Artificial Intelligence, 265-276, 2019
52019
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
22021
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
12021
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
12019
Contextual behavioural modelling and classification of vessels in a maritime piracy situation
JJ Dabrowski
University of Pretoria, 2014
12014
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
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