A unified model for context-based behavioural modelling and classification. - Joel Janek Dabrowski; Johan Pieter de Villiers (Expert Syst. Appl., 2015)

Maritime piracy situation modelling with dynamic Bayesian networks. - Joel Janek Dabrowski; Johan Pieter de Villiers (Inf. Fusion, 2015)

Systemic banking crisis early warning systems using dynamic Bayesian networks. - Joel Janek Dabrowski; Conrad Beyers; Johan Pieter de Villiers (Expert Syst. Appl., 2016)

Context-based behaviour modelling and classification of marine vessels in an abalone poaching situation. - Joel Janek Dabrowski; Johan Pieter de Villiers; Conrad Beyers (Eng. Appl. Artif. Intell., 2017)

State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming. - Joel Janek Dabrowski; Ashfaqur Rahman; Andrew George; Stuart Arnold; John McCulloch (KDD, 2018)

Naïve Bayes switching linear dynamical system: A model for dynamic system modelling, classification, and information fusion. - Joel Janek Dabrowski; Johan Pieter de Villiers; Conrad Beyers (Inf. Fusion, 2018)

Sequence-to-Sequence Imputation of Missing Sensor Data. - Joel Janek Dabrowski; Ashfaqur Rahman (Australasian Conference on Artificial Intelligence, 2019)

Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. - Joel Janek Dabrowski; Johan Pieter de Villiers; Ashfaqur Rahman; Conrad Beyers (ICONIP (4), 2019)

Identification of variables affecting production outcome in prawn ponds: A machine learning approach. - Ashfaqur Rahman; Stuart Arnold; Joel Janek Dabrowski (Comput. Electron. Agric., 2019)

ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting. - Joel Janek Dabrowski; Yi-Fan Zhang 008; Ashfaqur Rahman (ICONIP (3), 2020)

Enforcing mean reversion in state space models for prawn pond water quality forecasting. - Joel Janek Dabrowski; Ashfaqur Rahman; Daniel Edward Pagendam; Andrew George (Comput. Electron. Agric., 2020)

Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. - Joel Janek Dabrowski; Ashfaqur Rahman; Andrew D. Hellicar; Mashud Rana; Stuart Arnold (PAKDD (3), 2022)

A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models. - Andrew Bolt; Carolyn Huston; Petra Kuhnert; Joel Janek Dabrowski; James Hilton 001; Conrad Sanderson (SPA, 2022)

An Emulation Framework for Fire Front Spread. - Andrew Bolt; Joel Janek Dabrowski; Carolyn Huston; Petra Kuhnert (CoRR, 2022)

Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution. - Joel Janek Dabrowski; Daniel Edward Pagendam (CoRR, 2022)

Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires. - Joel Janek Dabrowski; Daniel Edward Pagendam; James Hilton 001; Conrad Sanderson; Daniel MacKinlay; Carolyn Huston; Andrew Bolt; Petra Kuhnert (CoRR, 2022)

Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. - Joel Janek Dabrowski; Ashfaqur Rahman (IJCNN, 2023)

A Neural Emulator for Uncertainty Estimation of Fire Propagation. - Andrew Bolt; Conrad Sanderson; Joel Janek Dabrowski; Carolyn Huston; Petra Kuhnert (INNS DLIA@IJCNN, 2023)

PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers. - Xing Wang 016; Joel Janek Dabrowski; Joshua Pinskier; Lois Liow; Vinoth Viswanathan; Richard Scalzo; David Howard 001 (IROS, 2024)

Detection of Animal Movement from Weather Radar using Self-Supervised Learning. - Mubin Ul Haque; Joel Janek Dabrowski; Rebecca M. Rogers; Hazel Parry (CoRR, 2024)

Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers. - Amelia Genova; Huidong Jin 001; John A. Taylor; Joel Janek Dabrowski; Peter J. Toscas; Klaus Joehnk (PAKDD (6), 2025)