| Evaluation of automated lithology classification architectures using highly-sampled wireline logs for coal exploration T Horrocks, EJ Holden, D Wedge Computers & Geosciences 83, 209-218, 2015 | 60 | 2015 |
| GeoDocA–Fast analysis of geological content in mineral exploration reports: A text mining approach EJ Holden, W Liu, T Horrocks, R Wang, D Wedge, P Duuring, ... Ore Geology Reviews 111, 102919, 2019 | 41 | 2019 |
| Geochemical characterisation of rock hydration processes using t-SNE T Horrocks, EJ Holden, D Wedge, C Wijns, M Fiorentini Computers & geosciences 124, 46-57, 2019 | 21 | 2019 |
| Classification of gold-bearing particles using visual cues and cost-sensitive machine learning T Horrocks, D Wedge, EJ Holden, P Kovesi, N Clarke, J Vann Mathematical Geosciences 47, 521-545, 2015 | 13 | 2015 |
| A comparative study of neural network methods for first break detection using seismic refraction data over a detrital iron ore deposit T Gillfeather-Clark, T Horrocks, EJ Holden, D Wedge Ore Geology Reviews 137, 104201, 2021 | 8 | 2021 |
| Learning characteristic natural gamma shale marker signatures in iron ore deposits D Nathan, P Duuring, EJ Holden, D Wedge, T Horrocks Computers & Geosciences 106, 77-88, 2017 | 6 | 2017 |
| Automated extraction of seed morphological traits from images RLC Dayrell, T Ott, T Horrocks, P Poschlod Methods in Ecology and Evolution 14 (7), 1708-1718, 2023 | 3 | 2023 |
| Integrated analysis of geological, geophysical, and geochemical data of the Kevitsa Ni-Cu-PGE deposit: machine learning approaches T Horrocks | 3 | 2019 |
| 3-D geochemical interpolation guided by geophysical inversion models T Horrocks, EJ Holden, D Wedge, C Wijns Geoscience Frontiers 12 (3), 101089, 2021 | 2 | 2021 |
| Viability of long-short term memory neural networks for seismic refraction first break detection–a preliminary study T Gillfeather-Clark, EJ Holden, D Wedge, T Horrocks, C Byrne, ... ASEG Extended Abstracts 2019 (1), 1-5, 2019 | 2 | 2019 |
| Anomaly detection in fourier transform infrared spectroscopy of geological specimens using variational autoencoders CM Gonzalez, T Horrocks, D Wedge, EJ Holden, N Hackman, T Green Ore Geology Reviews, 105478, 2023 | 1 | 2023 |
| Magnetic grid resolution enhancement using machine learning: A case study from the Eastern Goldfields Superterrane L Smith, T Horrocks, EJ Holden, D Wedge, N Akhtar Ore Geology Reviews 150, 105119, 2022 | 1 | 2022 |
| Predicting 3D geochemical models from multiple geophysical inversion models by Gaussian process regression with custom kernels T Horrocks, EJ Holden, D Wedge, C Wijns AGU Fall Meeting Abstracts 2018, NG33B-0952, 2018 | 1 | 2018 |
| A nonparametric boundary detection technique applied to 3D inverted surveys of the Kevitsa Ni-Cu-PGE deposit T Horrocks, EJ Holden, D Wedge, C Wijns Geophysics 83 (1), IM1-IM13, 2018 | 1 | 2018 |
| Automated geological logging from FTIR reflectance spectra utilising geochemical and historical logging constraints T Horrocks, D Wedge, N Hackman, T Green, EJ Holden Ore Geology Reviews, 106004, 2024 | | 2024 |
| Centre for Exploration Targeting, School of Earth Sciences, The University of Western Australia, Australia T Gillfeather-Clark, T Horrocks, EJ Holden, D Wedge ORE GEOLOGY REVIEWS 137, 2021 | | 2021 |
| Applications of Graph Machine Learning for Geophysics Interpretation T Gillfeather-Clark, T Horrocks, D Wedge, EJ Holden | | |
Eun-Jung HoldenProfessor, The University of Western AustraliaVerified email at uwa.edu.au
