57 citations as recorded by crossref.

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3. Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models R. Scalzo et al. 10.5194/gmd-15-3641-2022
4. Decision-making within geochemical exploration data based on spatial uncertainty – A new insight and a futuristic review B. Sadeghi & D. Cohen 10.1016/j.oregeorev.2023.105660
5. Uncertainty assessment for 3D geologic modeling of fault zones based on geologic inputs and prior knowledge A. Krajnovich et al. 10.5194/se-11-1457-2020
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8. Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications M. Jessell et al. 10.5194/essd-14-381-2022
9. Uncertainty Visualisation of a 3D Geological Geometry Model and Its Application in GIS-Based Mineral Resource Assessment: A Case Study in Huayuan District, Northwestern Hunan Province, China N. Li et al. 10.1007/s12583-021-1434-y
10. A Monte Carlo-based Workflow for Geochemical Anomaly Identification Under Uncertainty and Global Sensitivity Analysis of Model Parameters J. Wang & R. Zuo 10.1007/s11004-023-10060-2
11. Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation L. Wang et al. 10.1016/j.gr.2023.03.006
12. Constraining 3D geometric gravity inversion with a 2D reflection seismic profile using a generalized level set approach: application to the eastern Yilgarn Craton M. Rashidifard et al. 10.5194/se-12-2387-2021
13. An Uncertainty Analysis Method Based on a Globally Optimal Truth Discovery Model for Mineral Prospectivity Mapping N. Li et al. 10.1007/s11004-023-10086-6
14. A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning S. Wang et al. 10.1007/s11004-022-10027-9
15. Structural, petrophysical, and geological constraints in potential field inversion using the Tomofast-x v1.0 open-source code J. Giraud et al. 10.5194/gmd-14-6681-2021
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17. Using Delaunay triangulation and cluster analysis to determine the orientation of a sub-horizontal and noise including contact in Kraków-Silesian Homocline, Poland M. Michalak et al. 10.1016/j.cageo.2019.104322
18. Automated geological map deconstruction for 3D model construction using <i>map2loop</i> 1.0 and <i>map2model</i> 1.0 M. Jessell et al. 10.5194/gmd-14-5063-2021
19. 3D probabilistic geology differentiation based on airborne geophysics, mixed Lp norm joint inversion, and physical property measurements X. Wei & J. Sun 10.1190/geo2021-0833.1
20. Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0.1.2: setting up for success R. Scalzo et al. 10.5194/gmd-12-2941-2019
21. Generalization of level-set inversion to an arbitrary number of geologic units in a regularized least-squares framework J. Giraud et al. 10.1190/geo2020-0263.1
22. Topological analysis in Monte Carlo simulation for uncertainty propagation E. Pakyuz-Charrier et al. 10.5194/se-10-1663-2019
23. Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method M. Abbaszadeh et al. 10.1016/j.cageo.2022.105140
24. Outlier-robust multi-view clustering for uncertain data K. Sharma & A. Seal 10.1016/j.knosys.2020.106567
25. Concentration-concentration fractal modelling: A novel insight for correlation between variables in response to changes in the underlying controlling geological-geochemical processes B. Sadeghi 10.1016/j.oregeorev.2020.103875
26. Utilisation of probabilistic magnetotelluric modelling to constrain magnetic data inversion: proof-of-concept and field application J. Giraud et al. 10.5194/se-14-43-2023
27. Multi-level voxel representations for digital twin models of tunnel geological environment H. Wu et al. 10.1016/j.jag.2022.102887
28. Assessing geometrical uncertainties in geological interface models using Markov chain Monte Carlo sampling via abstract graph J. Huang et al. 10.1016/j.tecto.2023.230032
29. Triangulated irregular network-based probabilistic 3D geological modelling using Markov Chain and Monte Carlo simulation J. Ouyang et al. 10.1016/j.enggeo.2023.107131
30. Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure K. Sharma et al. 10.1109/ACCESS.2021.3083969
31. A general frame for uncertainty propagation under multimodally distributed random variables X. Meng et al. 10.1016/j.cma.2020.113109
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37. Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging J. Giraud et al. 10.5194/se-11-419-2020
38. Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models H. Olierook et al. 10.1016/j.gsf.2020.04.015
39. Explicit-implicit-integrated 3-D geological modelling approach: A case study of the Xianyan Demolition Volcano (Fujian, China) J. Guo et al. 10.1016/j.tecto.2020.228648
40. The role of geological models and uncertainties in safety assessments M. Bjorge et al. 10.1007/s12665-022-10305-z
41. Multi-view spectral clustering for uncertain objects K. Sharma & A. Seal 10.1016/j.ins.2020.08.080
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43. Disjoint interval bound constraints using the alternating direction method of multipliers for geologically constrained inversion: Application to gravity data V. Ogarko et al. 10.1190/geo2019-0633.1
44. A simulation-based framework for modulating the effects of subjectivity in greenfield Mineral Prospectivity Mapping with geochemical and geological data M. Parsa & A. Pour 10.1016/j.gexplo.2021.106838
45. Concentration-distance from centroids (C-DC) multifractal modeling: A novel approach to characterizing geochemical patterns based on sample distance from mineralization B. Sadeghi & D. Cohen 10.1016/j.oregeorev.2021.104302
46. Sensitivity of constrained joint inversions to geological and petrophysical input data uncertainties with posterior geological analysis J. Giraud et al. 10.1093/gji/ggz152
47. loopUI-0.1: indicators to support needs and practices in 3D geological modelling uncertainty quantification G. Pirot et al. 10.5194/gmd-15-4689-2022
48. 3D geological structure inversion from Noddy-generated magnetic data using deep learning methods J. Guo et al. 10.1016/j.cageo.2021.104701
49. Unraveling the uncertainty of geological interfaces through data-knowledge-driven trend surface analysis L. Wang et al. 10.1016/j.cageo.2023.105419
50. Relationship between well pattern density and variation function of stochastic modelling and database establishment J. Wang et al. 10.2516/ogst/2020077
51. Multi‐scenario Interpretations From Sparse Fault Evidence Using Graph Theory and Geological Rules G. Godefroy et al. 10.1029/2020JB020022
52. Reproducibility of atomistic friction computer experiments: a molecular dynamics simulation study S. Stephan et al. 10.1080/08927022.2021.1987430
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54. Estimating uncertainties in 3-D models of complex fold-and-thrust belts: A case study of the Eastern Alps triangle zone S. Brisson et al. 10.1016/j.acags.2023.100115
55. 3D geological modeling of deep fractured low porosity sandstone gas reservoir in the Kuqa Depression, Tarim Basin Z. Liu et al. 10.3389/feart.2023.1171050
56. Quantification of uncertainty in 3-D seismic interpretation: implications for deterministic and stochastic geomodeling and machine learning A. Schaaf & C. Bond 10.5194/se-10-1049-2019
57. Artificial intelligence techniques to the interpretation of geophysical measurements D. FitzGerald 10.1080/22020586.2019.12073000