68 citations as recorded by crossref.

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3. Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization J. Giraud et al. 10.5194/se-10-193-2019
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5. 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
6. 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
7. Uncertainty analysis on environmental impacts of hydraulic fracturing A. Movassagh et al. 10.1071/AJ21071
8. Constraining uncertainty of fault orientation using a combinatorial algorithm M. Michalak et al. 10.1016/j.cageo.2021.104777
9. Integration of deep learning models for mineral prospectivity mapping: a novel Bayesian index approach to reducing uncertainty in exploration Z. Hoseinzade et al. 10.1007/s40808-025-02342-x
10. 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
11. Research Progress of Three-Dimensional Engineering Geological Evaluation Modeling G. Wei et al. 10.3390/su17083739
12. 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
13. 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
14. 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
15. 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
16. 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
17. A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning S. Wang et al. 10.1007/s11004-022-10027-9
18. 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
19. Addressing challenges in uncertainty quantification: the case of geohazard assessments I. Cardenas et al. 10.5194/gmd-16-1601-2023
20. 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
21. Automated geological map deconstruction for 3D model construction using map2loop 1.0 and map2model 1.0 M. Jessell et al. 10.5194/gmd-14-5063-2021
22. 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
23. 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
24. 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
25. Topological analysis in Monte Carlo simulation for uncertainty propagation E. Pakyuz-Charrier et al. 10.5194/se-10-1663-2019
26. 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
27. Outlier-robust multi-view clustering for uncertain data K. Sharma & A. Seal 10.1016/j.knosys.2020.106567
28. 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
29. 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
30. Multi-level voxel representations for digital twin models of tunnel geological environment H. Wu et al. 10.1016/j.jag.2022.102887
31. 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
32. 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
33. Mitigating uncertainties in mineral exploration targeting: Majority voting and confidence index approaches in the context of an exploration information system (EIS) M. Yousefi et al. 10.1016/j.oregeorev.2024.105930
34. Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure K. Sharma et al. 10.1109/ACCESS.2021.3083969
35. A general frame for uncertainty propagation under multimodally distributed random variables X. Meng et al. 10.1016/j.cma.2020.113109
36. Uncertainty assessment of a 3D geological model by integrating data errors, spatial variations and cognition bias D. Liang et al. 10.1007/s12145-020-00548-4
37. Category-based fractal modelling: A novel model to integrate the geology into the data for more effective processing and interpretation B. Sadeghi & D. Cohen 10.1016/j.gexplo.2021.106783
38. Boundary simulation – a hierarchical approach for multiple categories F. Amarante et al. 10.1080/25726838.2021.1889295
39. Uncertainty analysis of 3D potential-field deterministic inversion using mixed Lp norms X. Wei & J. Sun 10.1190/geo2020-0672.1
40. Modeling uncertain data using Monte Carlo integration method for clustering K. Sharma & A. Seal 10.1016/j.eswa.2019.06.050
41. Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging J. Giraud et al. 10.5194/se-11-419-2020
42. 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
43. 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
44. The role of geological models and uncertainties in safety assessments M. Bjorge et al. 10.1007/s12665-022-10305-z
45. Multi-view spectral clustering for uncertain objects K. Sharma & A. Seal 10.1016/j.ins.2020.08.080
46. Regional groundwater flow and karst evolution–theoretical approach and example from Switzerland S. Scheidler et al. 10.1007/s12665-021-09471-3
47. 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
48. 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
49. Estimating relative uncertainty of geological 3D models with low density of input data in geologically complex regions F. Staněk et al. 10.1007/s12145-025-01778-0
50. Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts X. Wei et al. 10.1016/j.cageo.2024.105779
51. 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
52. Sensitivity of constrained joint inversions to geological and petrophysical input data uncertainties with posterior geological analysis J. Giraud et al. 10.1093/gji/ggz152
53. 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
54. 3D geological structure inversion from Noddy-generated magnetic data using deep learning methods J. Guo et al. 10.1016/j.cageo.2021.104701
55. Twin support vector regression for characterizing uncertainty in surface reconstruction S. Yu et al. 10.1038/s41598-024-70109-y
56. Unraveling the uncertainty of geological interfaces through data-knowledge-driven trend surface analysis L. Wang et al. 10.1016/j.cageo.2023.105419
57. Representing the Uncertainty of a 3D Geological Model via Global Optimum Truth Discovery Technology N. Li et al. 10.1007/s11053-024-10404-7
58. Relationship between well pattern density and variation function of stochastic modelling and database establishment J. Wang et al. 10.2516/ogst/2020077
59. Multi‐scenario Interpretations From Sparse Fault Evidence Using Graph Theory and Geological Rules G. Godefroy et al. 10.1029/2020JB020022
60. 3D structural implicit modelling of folded metamorphic units at Lago di Cignana with uncertainty assessment G. Arienti et al. 10.1016/j.jsg.2024.105329
61. Dynamic uncertainty propagation analysis framework for nonlinear control problem based on manifold learning and optimal polynomial method and its application on active suspension system J. Liu et al. 10.1177/10775463241276242
62. Reproducibility of atomistic friction computer experiments: a molecular dynamics simulation study S. Stephan et al. 10.1080/08927022.2021.1987430
63. Variational Gaussian processes for implicit geological modeling Í. Gonçalves et al. 10.1016/j.cageo.2023.105323
64. Three-Dimensional Geological Modeling Method Based on Potential Vector Fields P. Liu et al. 10.3390/app15073594
65. 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
66. 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
67. 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
68. Artificial intelligence techniques to the interpretation of geophysical measurements D. FitzGerald 10.1080/22020586.2019.12073000