Joel Janek Dabrowski

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Primate Visual Cortex

Top Venues

Comput. Electron. Agric.

Expert Syst. Appl.

Publications

Xing Wang, Joel Janek Dabrowski, Joshua Pinskier, Lois Liow, Vinoth Viswanathan, Richard Scalzo, David Howard
PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers. CoRR (2024)
Joel Janek Dabrowski, Ashfaqur Rahman
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. IJCNN (2023)
Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert
A Neural Emulator for Uncertainty Estimation of Fire Propagation. INNS DLIA@IJCNN (2023)
Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert
A Neural Emulator for Uncertainty Estimation of Fire Propagation. CoRR (2023)
Joel Janek Dabrowski, Ashfaqur Rahman
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. CoRR (2023)
Andrew Bolt, Carolyn Huston, Petra Kuhnert, Joel Janek Dabrowski, James Hilton, Conrad Sanderson
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models. SPA (2022)
Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton, Conrad Sanderson, Daniel MacKinlay, Carolyn Huston, Andrew Bolt, Petra Kuhnert
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires. CoRR (2022)
Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold
Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. PAKDD (3) (2022)
Andrew Bolt, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert
An Emulation Framework for Fire Front Spread. CoRR (2022)
Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection. CoRR (2022)
Joel Janek Dabrowski, Daniel Edward Pagendam
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution. CoRR (2022)
Andrew Bolt, Carolyn Huston, Petra Kuhnert, Joel Janek Dabrowski, James Hilton, Conrad Sanderson
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models. CoRR (2022)
Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. CoRR (2020)
Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam, Andrew George
Enforcing mean reversion in state space models for prawn pond water quality forecasting. Comput. Electron. Agric. 168 (2020)
Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting. CoRR (2020)
Joel Janek Dabrowski, Ashfaqur Rahman
Sequence-to-Sequence Imputation of Missing Sensor Data. CoRR (2020)
Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting. ICONIP (3) (2020)
Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. ICONIP (4) (2019)
Ashfaqur Rahman, Stuart Arnold, Joel Janek Dabrowski
Identification of variables affecting production outcome in prawn ponds: A machine learning approach. Comput. Electron. Agric. 156 (2019)
Joel Janek Dabrowski, Ashfaqur Rahman
Sequence-to-Sequence Imputation of Missing Sensor Data. Australasian Conference on Artificial Intelligence (2019)
Joel Janek Dabrowski, Johan Pieter de Villiers, Conrad Beyers
Naïve Bayes switching linear dynamical system: A model for dynamic system modelling, classification, and information fusion. Inf. Fusion 42 (2018)
Joel Janek Dabrowski, Ashfaqur Rahman, Andrew George, Stuart Arnold, John McCulloch
State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming. KDD (2018)
Joel Janek Dabrowski, Johan Pieter de Villiers, Conrad Beyers
Context-based behaviour modelling and classification of marine vessels in an abalone poaching situation. Eng. Appl. Artif. Intell. 64 (2017)
Joel Janek Dabrowski, Conrad Beyers, Johan Pieter de Villiers
Systemic banking crisis early warning systems using dynamic Bayesian networks. Expert Syst. Appl. 62 (2016)
Joel Janek Dabrowski, Johan Pieter de Villiers
A unified model for context-based behavioural modelling and classification. Expert Syst. Appl. 42 (19) (2015)
Joel Janek Dabrowski, Johan Pieter de Villiers
Maritime piracy situation modelling with dynamic Bayesian networks. Inf. Fusion 23 (2015)