Joel Janek Dabrowski

30 papers A* 1A 1B 1Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers. PAKDD (6) Amelia Genova, Huidong Jin, John A. Taylor, Joel Janek Dabrowski, Peter J. Toscas, Klaus Joehnk
2024	J	`jnl`	Detection of Animal Movement from Weather Radar using Self-Supervised Learning. CoRR Mubin Ul Haque, Joel Janek Dabrowski, Rebecca M. Rogers, Hazel Parry
2024	A	`conf`	PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers. IROS Xing Wang, Joel Janek Dabrowski, Joshua Pinskier, Lois Liow, Vinoth Viswanathan, Richard Scalzo, David Howard
2024	J	`jnl`	PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers. CoRR Xing Wang, Joel Janek Dabrowski, Joshua Pinskier, Lois Liow, Vinoth Viswanathan, Richard Scalzo, David Howard
2023	—	`conf`	A Neural Emulator for Uncertainty Estimation of Fire Propagation. INNS DLIA@IJCNN Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert
2023	J	`jnl`	A Neural Emulator for Uncertainty Estimation of Fire Propagation. CoRR Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert
2023	B	`conf`	Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. IJCNN Joel Janek Dabrowski, Ashfaqur Rahman
2023	J	`jnl`	Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. CoRR Joel Janek Dabrowski, Ashfaqur Rahman
2022	—	`conf`	A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models. SPA Andrew Bolt, Carolyn Huston, Petra Kuhnert, Joel Janek Dabrowski, James Hilton, Conrad Sanderson
2022	J	`jnl`	A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models. CoRR Andrew Bolt, Carolyn Huston, Petra Kuhnert, Joel Janek Dabrowski, James Hilton, Conrad Sanderson
2022	J	`jnl`	An Emulation Framework for Fire Front Spread. CoRR Andrew Bolt, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert
2022	J	`jnl`	Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution. CoRR Joel Janek Dabrowski, Daniel Edward Pagendam
2022	J	`jnl`	Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires. CoRR Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton, Conrad Sanderson, Daniel MacKinlay, Carolyn Huston, Andrew Bolt, Petra Kuhnert
2022	—	`conf`	Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. PAKDD (3) Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold
2022	J	`jnl`	Deep Learning for Prawn Farming: Forecasting and Anomaly Detection. CoRR Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold
2020	J	`jnl`	Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. CoRR Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers
2020	J	`jnl`	Enforcing mean reversion in state space models for prawn pond water quality forecasting. Comput. Electron. Agric. Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam, Andrew George
2020	J	`jnl`	ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting. CoRR Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman
2020	—	`conf`	ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting. ICONIP (3) Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman
2020	—	`ed.`	Image and Video Technology - PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18-22, 2019, Revised Selected Papers PSIVT Workshops Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul
2020	J	`jnl`	Sequence-to-Sequence Imputation of Missing Sensor Data. CoRR Joel Janek Dabrowski, Ashfaqur Rahman
2019	—	`conf`	Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. ICONIP (4) Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers
2019	J	`jnl`	Identification of variables affecting production outcome in prawn ponds: A machine learning approach. Comput. Electron. Agric. Ashfaqur Rahman, Stuart Arnold, Joel Janek Dabrowski
2019	—	`conf`	Sequence-to-Sequence Imputation of Missing Sensor Data. Australasian Conference on Artificial Intelligence Joel Janek Dabrowski, Ashfaqur Rahman
2018	J	`jnl`	Naïve Bayes switching linear dynamical system: A model for dynamic system modelling, classification, and information fusion. Inf. Fusion Joel Janek Dabrowski, Johan Pieter de Villiers, Conrad Beyers
2018	A*	`conf`	State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming. KDD Joel Janek Dabrowski, Ashfaqur Rahman, Andrew George, Stuart Arnold, John McCulloch
2017	J	`jnl`	Context-based behaviour modelling and classification of marine vessels in an abalone poaching situation. Eng. Appl. Artif. Intell. Joel Janek Dabrowski, Johan Pieter de Villiers, Conrad Beyers
2016	J	`jnl`	Systemic banking crisis early warning systems using dynamic Bayesian networks. Expert Syst. Appl. Joel Janek Dabrowski, Conrad Beyers, Johan Pieter de Villiers
2015	J	`jnl`	A unified model for context-based behavioural modelling and classification. Expert Syst. Appl. Joel Janek Dabrowski, Johan Pieter de Villiers
2015	J	`jnl`	Maritime piracy situation modelling with dynamic Bayesian networks. Inf. Fusion Joel Janek Dabrowski, Johan Pieter de Villiers