Chris Aldrich

Affiliations:
  • Curtin University, Western Australian School of Mines, Perth, Australia
  • University of Stellenbosch, Stellenbosch, South Africa (former)


According to our database1, Chris Aldrich authored at least 23 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction.
CoRR, 2024

2023
A Hybrid Intelligent Framework for Maximising SAG Mill Throughput: An Integration of Expert Knowledge, Machine Learning and Evolutionary Algorithms for Parameter Optimisation.
CoRR, 2023

2022
Application of unthresholded recurrence plots and texture analysis for industrial loops with faulty valves.
Soft Comput., 2022

Monitoring of a Platinum Group Metal Flotation Plant with an Isolation Forest.
Proceedings of the Australian & New Zealand Control Conference, 2022

2021
Spatially Weighted Mutual Information for Image Registration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Monitoring of Froth Flotation with Transfer Learning and Principal Component Models<sup>*</sup>.
Proceedings of the 2021 Australian & New Zealand Control Conference, 2021

2018
Statistical process monitoring of a base metal flotation plant using a Gaussian mixture model and dissimilarity scale based singular spectrum analysis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2015
A spatial information measure method for hyperspectral image visualization.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Motion estimation in flotation froth using the Kalman filter.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods
Advances in Computer Vision and Pattern Recognition, Springer, ISBN: 978-1-4471-5185-2, 2013

2012
Estimating size fraction categories of coal particles on conveyor belts using image texture modeling methods.
Expert Syst. Appl., 2012

Motion estimation in flotation froth images based on edge detection and mutual information.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
The cross-entropy method in multi-objective optimisation: An assessment.
Eur. J. Oper. Res., 2011

2010
Rock image segmentation using watershed with shape markers.
Proceedings of the 39th IEEE Applied Imagery Pattern Recognition Workshop, 2010

2006
Classification of process dynamics with Monte Carlo singular spectrum analysis.
Comput. Chem. Eng., 2006

2005
Development of neurocontrollers with evolutionary reinforcement learning.
Comput. Chem. Eng., 2005

2002
Adaptive Control Utilising Neural Swarming.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Intelligent process control utilising symbiotic memetic neuro-evolution.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

1999
ANN-DT: an algorithm for extraction of decision trees from artificial neural networks.
IEEE Trans. Neural Networks, 1999

Combinatorial evolution of regression nodes in feedforward neural networks.
Neural Networks, 1999

1998
Visualization of transformed multivariate data sets with autoassociative neural networks.
Pattern Recognit. Lett., 1998

1995
The tracking of changes in chemical processes using computer vision and self-organizing maps.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995


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