L. Auret

发表

Machine learning applications in minerals processing: A review

Lidia Auret, John T. McCoy, L. Auret, 2019, Minerals Engineering.

Empirical comparison of tree ensemble variable importance measures

C. Aldrich, L. Auret, 2011 .

Early Detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals

L. Auret, C. Aldrich, L. Auret, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

Using apparent activation energy as a reactivity criterion for biomass pyrolysis

A. Bridgwater, L. Auret, M. Carrier, 2016 .

Overview of Process Fault Diagnosis

Chris Aldrich, Lidia Auret, C. Aldrich, 2013 .

Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

Chris Aldrich, Lidia Auret, C. Aldrich, 2013, Advances in Computer Vision and Pattern Recognition.

Tree-Based Methods

Chris Aldrich, Lidia Auret, C. Aldrich, 2013 .

On-line monitoring of hydrocyclones by use of image analysis.

Chris Aldrich, Lidia Auret, Vuuren M.J. Janse van, 2010 .

Artificial Neural Networks

Chris Aldrich, Lidia Auret, C. Aldrich, 2013 .

A control system framework for reflective practice: Design-based research applied to process control teaching

Karin Elizabeth Wolff, Lidia Auret, L. Auret, 2018, 2018 IEEE Global Engineering Education Conference (EDUCON).

Fault detection and diagnosis with random forest feature extraction and variable importance methods

Chris Aldrich, Lidia Auret, C. Aldrich, 2010 .

Interpretation of nonlinear relationships between process variables by use of random forests

Chris Aldrich, Lidia Auret, C. Aldrich, 2012 .

Application of Data-based Process Topology and Feature Extraction for Fault Diagnosis of an Industrial Platinum Group Metals Concentrator Plant

Lidia Auret, Brian Lindner, L. Auret, 2015 .

Data-driven fault detection with process topology for fault identification

Lidia Auret, Brian Lindner, L. Auret, 2014 .

Unsupervised Process Fault Detection with Random Forests

Chris Aldrich, Lidia Auret, C. Aldrich, 2010 .

[60]Fullerene immobilized in a thin functionalized polypyrrole film. Basic principles for the elaboration of an oxygen sensor

Jean-Marc Janot, L. Auret, P. Seta, 2002 .

Process Monitoring Using Multiscale Methods

Chris Aldrich, Lidia Auret, C. Aldrich, 2013 .

Change point detection in time series data with random forests

Chris Aldrich, Lidia Auret, C. Aldrich, 2010 .

Process monitoring and fault diagnosis using random forests

Lidia Auret, L. Auret, 2010 .

Fault diagnosis and economic performance evaluation for a simulated base metal leaching operation

Lidia Auret, John T. McCoy, Jason John Miskin, 2018, Minerals Engineering.

Monitoring of a simulated milling circuit: Fault diagnosis and economic impact

Brian Lindner, Lidia Auret, B. J. Wakefield, 2018 .

Economic Assessment of Condition-based Maintenance with Statistical Process Monitoring

Lidia Auret, John T. McCoy, Alessandra Kerremans, 2018 .

Fault Diagnosis for an Industrial High Pressure Leaching Process with a Monitoring Dashboard

Lidia Auret, John T. McCoy, Adriaan Lodewicus Haasbroek, 2018 .

Comparative analysis of Granger causality and transfer entropy to present a decision flow for the application of oscillation diagnosis

Brian Lindner, Lidia Auret, Margret Bauer, 2019, Journal of Process Control.

Variational Autoencoders for Missing Data Imputation with Application to a Simulated Milling Circuit

Lidia Auret, Steve Kroon, John T. McCoy, 2018 .

Performance of Convolutional Neural Networks for Feature Extraction in Froth Flotation Sensing

Chris Aldrich, Lidia Auret, John T. McCoy, 2017 .

Observations on the separation of iron ore in a prototype batch jig

Chris Aldrich, Lidia Auret, Andrei Kolesnikov, 2013 .

One-Dimensional Convolutional Auto-Encoder for Predicting Furnace Blowback Events from Multivariate Time Series Process Data—A Case Study

L. Auret, S. Bradshaw, T. Louw, 2021, Minerals.

The Application of Classification Methods to the Gross Error Detection Problem

C. Aldrich, L. Auret, E. Gerber, 2014 .

A Systematic Workflow for Oscillation Diagnosis Using Transfer Entropy

Brian Lindner, Lidia Auret, Margret Bauer, 2020, IEEE Transactions on Control Systems Technology.

Exergy-based fault detection on the Tennessee Eastman process

G. V. Schoor, K. Uren, L. Auret, 2020 .

Spiral Concentrator Interface Monitoring Through Image Processing: A Statistical Learning Approach

Ernst C. Nienaber, Lidia Auret, John T. McCoy, 2017 .

Investigating the Impact of Perturbations in Chemical Processes on Data-Based Causality Analysis. Part 2: Testing Granger Causality and Transfer Entropy

L. Auret, M. Bauer, Brian Lindner, 2017 .

Diagnosis of oscillations in an industrial mineral process using transfer entropy and nonlinearity index

L. Auret, M. Bauer, M. Chioua, 2018 .

Statistical Learning Theory and Kernel-Based Methods

Chris Aldrich, Lidia Auret, C. Aldrich, 2013 .

Monitoring of Mineral Processing Operations based on Multivariate Similarity Indices

C. Aldrich, L. Auret, 2011 .

Abstract2 Early detection of autism spectrum disorder (ASD) in infants is vital in maximizing the impact and potential long-term outcomes of early delivery of rehabilitative therapies

L. Auret, J. Pineda, C. Aldrich, 2013 .

Fault Diagnosis in Steady-State Process Systems

Chris Aldrich, Lidia Auret, C. Aldrich, 2013 .