The tracking of changes in chemical processes using computer vision and self-organizing maps. - Jannie S. J. Van Deventer; Chris Aldrich; Derick W. Moolman (ICNN, 1995)

Visualization of transformed multivariate data sets with autoassociative neural networks. - Chris Aldrich (Pattern Recognit. Lett., 1998)

Combinatorial evolution of regression nodes in feedforward neural networks. - Gregor P. J. Schmitz; Chris Aldrich (Neural Networks, 1999)

ANN-DT: an algorithm for extraction of decision trees from artificial neural networks. - Gregor P. J. Schmitz; Chris Aldrich; F. S. Gouws (IEEE Trans. Neural Networks, 1999)

Intelligent process control utilising symbiotic memetic neuro-evolution. - Alex v. E. Conradie; Risto Miikkulainen; Chris Aldrich (IEEE Congress on Evolutionary Computation, 2002)

Adaptive Control Utilising Neural Swarming. - Alex v. E. Conradie; Risto Miikkulainen; Christiaan Aldrich (GECCO, 2002)

Diagnostic monitoring of internal combustion engines by use of independent component analysis and neural networks. - J. P. Barnard; Chris Aldrich (IJCNN, 2003)

Identification of chaotic process systems with least squares support vector machines. - Gorden T. Jemwa; Chris Aldrich (IJCNN, 2003)

Development of neurocontrollers with evolutionary reinforcement learning. - Alex v. E. Conradie; Christiaan Aldrich (Comput. Chem. Eng., 2005)

Classification of process dynamics with Monte Carlo singular spectrum analysis. - Gorden T. Jemwa; Chris Aldrich (Comput. Chem. Eng., 2006)

Rock image segmentation using watershed with shape markers. - Anthony Amankwah; Chris Aldrich (AIPR, 2010)

The cross-entropy method in multi-objective optimisation: An assessment. - James Bekker; Chris Aldrich (Eur. J. Oper. Res., 2011)

Motion estimation in flotation froth images based on edge detection and mutual information. - Anthony Amankwah; Chris Aldrich (IGARSS, 2012)

Estimating size fraction categories of coal particles on conveyor belts using image texture modeling methods. - Gorden T. Jemwa; Chris Aldrich (Expert Syst. Appl., 2012)

Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods - Chris Aldrich; Lidia Auret (Springer, 2013)

Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms. - Anthony Amankwah; Chris Aldrich (IGARSS, 2014)

Motion estimation in flotation froth using the Kalman filter. - Anthony Amankwah; Chris Aldrich (IGARSS, 2015)

A spatial information measure method for hyperspectral image visualization. - Anthony Amankwah; Chris Aldrich (IGARSS, 2015)

Statistical process monitoring of a base metal flotation plant using a Gaussian mixture model and dissimilarity scale based singular spectrum analysis. - Syamala Krishnannair; Chris Aldrich (SSCI, 2018)

Monitoring of Froth Flotation with Transfer Learning and Principal Component Models*. - Xiu Liu; Chris Aldrich (ANZCC, 2021)

Spatially Weighted Mutual Information for Image Registration. - Chris Aldrich; Anthony Amankwah (IGARSS, 2021)

Monitoring of a Platinum Group Metal Flotation Plant with an Isolation Forest. - Xiu Liu; Chris Aldrich (ANZCC, 2022)

Application of unthresholded recurrence plots and texture analysis for industrial loops with faulty valves. - Tze Lin Kok; Chris Aldrich; Haslinda Zabiri; Syed Ali Ammar Taqvi; Jacques Olivier (Soft Comput., 2022)

A Hybrid Intelligent Framework for Maximising SAG Mill Throughput: An Integration of Expert Knowledge, Machine Learning and Evolutionary Algorithms for Parameter Optimisation. - Zahra Ghasemi; Mehdi Neshat; Chris Aldrich; John Karageorgos; Max Zanin; Frank Neumann 001; Lei Chen (CoRR, 2023)

Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction. - Zahra Ghasemi; Mehdi Neshat; Chris Aldrich; John Karageorgos; Max Zanin; Frank Neumann 001; Lei Chen (CEC, 2024)

Image Restoration Using Radar Point Spread Function. - Anthony Amankwah; Chris Aldrich (IGARSS, 2024)

A Review of Orebody Knowledge Enhancement Using Machine Learning on Open-Pit Mine Measure-While-Drilling Data. - Daniel M. Goldstein; Chris Aldrich; Louisa O'Connor (Mach. Learn. Knowl. Extr., 2024)

Imbalanced Classification of Ultrahigh Carbon Steel Microstructures with Vision Transformers and Image Synthesis of Minority Class. - Xiu Liu; Chris Aldrich; Ke Liu (ANZCC, 2025)