A truly spatial Random Forests algorithm for geoscience data analysis and modelling H Talebi, LJM Peeters, A Otto, R Tolosana-Delgado Mathematical Geosciences 54 (1), 1-22, 2022 | 39* | 2022 |
On machine learning algorithms and compositional data R Tolosana-Delgado, H Talebi, M Khodadadzadeh, ... Proceedings of the 8th International Workshop on Compositional Data Analysis …, 2019 | 29 | 2019 |
Risk quantification with combined use of lithological and grade simulations: Application to a porphyry copper deposit H Talebi, EH Sabeti, M Azadi, X Emery Ore Geology Reviews 75, 42-51, 2016 | 29 | 2016 |
Geostatistical Simulation of Geochemical Compositions in the Presence of Multiple Geological Units: Application to Mineral Resource Evaluation H Talebi, U Mueller, R Tolosana-Delgado, KG van den Boogaart Mathematical Geosciences 51 (2), 129-153, 2019 | 28 | 2019 |
Surficial and deep earth material prediction from geochemical compositions H Talebi, U Mueller, R Tolosana-Delgado, EC Grunsky, JM McKinley, ... Natural Resources Research 28 (3), 869-891, 2019 | 27 | 2019 |
Stochastic rock type modeling in a porphyry copper deposit and its application to copper grade evaluation H Talebi, O Asghari, X Emery Journal of Geochemical Exploration 157, 162-168, 2015 | 23 | 2015 |
Simulation of the lately injected dykes in an Iranian porphyry copper deposit using the plurigaussian model H Talebi, O Asghari, X Emery Arabian Journal of Geosciences 7, 2771-2780, 2014 | 22 | 2014 |
Application of plurigaussian simulation to delineate the layout of alteration domains in Sungun copper deposit H Talebi, O Asghari, X Emery Central European Journal of Geosciences 5 (4), 514-522, 2013 | 21 | 2013 |
Joint simulation of compositional and categorical data via direct sampling technique–Application to improve mineral resource confidence H Talebi, U Mueller, R Tolosana-Delgado Computers & Geosciences 122, 87-102, 2019 | 20 | 2019 |
Stochastic Modelling of Mineral Exploration Targets H Talebi, U Mueller, LJM Peeters, A Otto, P de Caritat, ... Mathematical Geosciences 54 (3), 593-621, 2022 | 19* | 2022 |
Towards geostatistical learning for the geosciences: A case study in improving the spatial awareness of spectral clustering H Talebi, LJM Peeters, U Mueller, R Tolosana-Delgado, ... Mathematical Geosciences 52 (8), 1035-1048, 2020 | 18 | 2020 |
A Hybrid Model for Joint Simulation of High-Dimensional Continuous and Categorical Variables H Talebi, J Lo, U Mueller Geostatistics Valencia 2016, 415-430, 2017 | 13 | 2017 |
Artifacts in Localised Multivariate Uniform Conditioning: A Case Study O Rondon, H Talebi Geostatistics Toronto 2021: Quantitative Geology and Geostatistics, 143, 2023 | | 2023 |
Geostatistical semi-supervised learning for spatial prediction F Fouedjio, H Talebi Artificial Intelligence in Geosciences 3, 162-178, 2022 | | 2022 |
Targeting Paleovalley-Related Ferricrete Units in Yilgarn Craton Using High-Resolution Aeromagnetic Data and Spatial Machine Learning H Talebi, J Markov, W Salama, A Otto, V Metelka, R Anand, D Cole Minerals 12 (7), 879, 2022 | | 2022 |
Is Spatial AI Special? H Talebi, M Lindsay, J Klump AGU Fall Meeting Abstracts 2021, IN45H-0524, 2021 | | 2021 |
Compositional Direct Sampling Simulation H Talebi, U Mueller, R Tolosana-Delgado Geostatistics for Compositional Data with R, 187-207, 2021 | | 2021 |
Spectral-spatial clustering of regionalized mixed data H Talebi, LJM Peeters, U Mueller, R Tolosana-Delgado, ... IAMG2019 - 20th Annual Conference of the International Association for …, 2019 | | 2019 |
On the spatial modelling of mixed and constrained geospatial data H Talebi Edith Cowan University, 2018 | | 2018 |
IRON ORE PROCESSING BEHAVIOUR PREDICTION AND ENHANCING PRODUCT QUALITY IN SHORT-TERM PLANNING USING PREDICTIVE GEOMETALLURGY E Arya, T Vasey, E Conroy, G Cresp | | |