Joel Janek Dabrowski

According to our database, Joel Janek Dabrowski authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A Neural Emulator for Uncertainty Estimation of Fire Propagation.

Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning.

Joel Janek Dabrowski, Ashfaqur Rahman

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires.

Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton, Conrad Sanderson, Daniel MacKinlay, Carolyn Huston, Andrew Bolt, Petra Kuhnert

CoRR, 2022

Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution.

Joel Janek Dabrowski, Daniel Edward Pagendam

CoRR, 2022

An Emulation Framework for Fire Front Spread.

Andrew Bolt, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert

CoRR, 2022

A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models.

Andrew Bolt, Carolyn Huston, Petra Kuhnert, Joel Janek Dabrowski, James Hilton, Conrad Sanderson

Proceedings of the Signal Processing: Algorithms, 2022

Deep Learning for Prawn Farming - Forecasting and Anomaly Detection.

Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

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

ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting.

Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman

Proceedings of the Neural Information Processing - 27th International Conference, 2020

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

Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction.

Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Sequence-to-Sequence Imputation of Missing Sensor Data.

Joel Janek Dabrowski, Ashfaqur Rahman

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

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

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

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

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

2016

Systemic banking crisis early warning systems using dynamic Bayesian networks.

Joel Janek Dabrowski, Conrad Beyers, Johan Pieter de Villiers

Expert Syst. Appl., 2016

2015

Maritime piracy situation modelling with dynamic Bayesian networks.

Joel Janek Dabrowski, Johan Pieter de Villiers

Inf. Fusion, 2015

A unified model for context-based behavioural modelling and classification.

Joel Janek Dabrowski, Johan Pieter de Villiers

Expert Syst. Appl., 2015