| Distinguishing ore deposit type and barren sedimentary pyrite using laser ablation-inductively coupled plasma-mass spectrometry trace element data and statistical analysis of … DD Gregory, MJ Cracknell, RR Large, P McGoldrick, S Kuhn, ... Economic Geology 114 (4), 771-786, 2019 | 97 | 2019 |
| Lithologic mapping using Random Forests applied to geophysical and remote-sensing data: A demonstration study from the Eastern Goldfields of Australia S Kuhn, MJ Cracknell, AM Reading Geophysics 83 (4), B183-B193, 2018 | 84 | 2018 |
| Lithological mapping in the Central African Copper Belt using Random Forests and clustering: Strategies for optimised results S Kuhn, MJ Cracknell, AM Reading Ore Geology Reviews 112, 103015, 2019 | 32 | 2019 |
| Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using random forests: The value of using a soft classifier S Kuhn, MJ Cracknell, AM Reading, S Sykora Geophysics 85 (6), B249-B258, 2020 | 16 | 2020 |
| Lithological mapping via random forests: information entropy as a proxy for inaccuracy S Kuhn, MJ Cracknell, AM Reading ASEG Extended Abstracts 2016 (1), 1-4, 2016 | 14 | 2016 |
| Inverse modeling constrained by potential field data, petrophysics, and improved geologic mapping: A case study from prospective northwest Tasmania E Eshaghi, AM Reading, M Roach, M Duffett, D Bombardieri, ... Geophysics 85 (5), K13-K26, 2020 | 3 | 2020 |
| Machine Learning for Mineral Exploration: Prediction and Quantified Uncertainty at Multiple Exploration Stages S Kuhn CODES / ARC TMVC Hub - University of Tasmania, 2021 | 2 | 2021 |
| Summary and final report on pyrite, magnetite and hematite mineral geochemistry, South Australia J Steadman, R Large, DD Gregory, S Meffre, M Cracknell, S Kuhn University Of Tasmania, 2018 | 2 | 2018 |
| The utility of machine learning in identification of key geophysical and geochemical datasets: A case study in lithological mapping in the Central African Copper Belt S Kuhn, M Cracknell, A Reading ASEG Extended Abstracts 2018 (1), 1-4, 2018 | 2 | 2018 |
| A comparison of random forests and cluster analysis to identify ore deposits type using LA-ICPMS analysis of pyrite DD Gregory, M Cracknell, R Large, P McGoldrick, S Kuhn, M Baker, N Fox, ... University Of Tasmania, 2019 | 1 | 2019 |
| Random Forest classification of pyrite trace element composition to identify ore deposit type in far-field exploration and vectoring D Gregory, R Large, M Cracknell, S Kuhn, V Maslennikov, I Belousov, ... University Of Tasmania, 2017 | 1 | 2017 |
| University of Tasmania Open Access Repository Cover sheet DD Gregory, M Cracknell, R Large, P McGoldrick, S Kuhn, ... Economic Geology 114 (4), 771-786, 2019 | | 2019 |
| Summary report on South Australia pyrite and magnetite geochemistry studies (including Mineral Systems Drilling Program pyrite project) J Steadman, R Large, DD Gregory, S Meffre, M Cracknell, SD Kuhn University Of Tasmania, 2017 | | 2017 |
| Big Data Techniques for Applied Geoscience: Compute and Communicate AM Reading, MJ Cracknell, S Kuhn ASEG Extended Abstracts 2016 (1), 1-5, 2016 | | 2016 |
| Data Driven Knowledge Discovery for Earth Sciences: Aims and Actions A Reading, M Cracknell, S Kuhn, S Hardy University Of Tasmania, 2016 | | 2016 |
| Annual report: South Australian pyrite, hematite and magnetite fingerprint database D Gregory, S Meffre, R Large, M Cracknell, S Kuhn University Of Tasmania, 2015 | | 2015 |
| Towards user friendly data-driven minerals exploration: lithological mapping in an orogenic gold setting S Kuhn, M Cracknell, A Reading, M Roach University Of Tasmania, 2015 | | 2015 |
| Phase 1 report of trace elements in titanite, hematitic sediments, magnetite and chlorite vectoring study D Gregory, R Large, M Cracknell, S Kuhn University Of Tasmania, 2015 | | 2015 |
| Potential Field Geophysical Interpretation of the Cave Rocks Region. Kambalda, Western Australia S Kuhn University of Tasmania, 2008 | | 2008 |
Matthew J. CracknellSenior Lecturer @ Centre for Ore Deposit and Earth Sciences, University of TasmaniaVerified email at utas.edu.au
