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Francky Fouedjio
Francky Fouedjio
Rio Tinto & Kaplan Business School
Adresse e-mail validée de riotinto.com - Page d'accueil
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A Hierarchical Clustering Method for Multivariate Geostatistical Data
F Fouedjio
Spatial Statistics 18, 333-351, 2016
742016
Estimation of Space Deformation Model for Non-stationary Random Functions
F Fouedjio, N Desassis, T Romary
Spatial Statistics 13, 45-61, 2015
502015
A Generalized Convolution Model and Estimation for Non-stationary Random Functions
F Fouedjio, N Desassis, J Rivoirard
Spatial Statistics 16, 35-52, 2016
472016
Exploring Prediction Uncertainty of Spatial Data in Geostatistical and Machine Learning Approaches
F Fouedjio, J Klump
Environmental Earth Sciences 78 (1), 78-38, 2019
442019
Second-order Non-stationary Modeling Approaches for Univariate Geostatistical Data
F Fouedjio
Stochastic Environmental Research and Risk Assessment 31 (8), 1887–1906, 2016
402016
Geostatistical Clustering as an Aid for Ore Body Domaining: Case Study at the Rocklea Dome Channel Iron Ore Deposit, Western Australia
F Fouedjio, EJ Hill, C Laukamp
Applied Earth Science, TIMM B, Vol. 127 (1), pp. 15-29, 2017
372017
Exact Conditioning of Regression Random Forest for Spatial Prediction
F Fouedjio
Artificial Intelligence in Geosciences 1, 11-23, 2020
242020
A Spectral Clustering Approach for Multivariate Geostatistical Data
F Fouedjio
International Journal of Data Science and Analytics 4 (4), 301–312, 2017
172017
A geostatistical implicit modeling framework for uncertainty quantification of 3D geo-domain boundaries: Application to lithological domains from a porphyry copper deposit
F Fouedjio, C Scheidt, L Yang, P Achtziger-Zupančič, J Caers
Computers & Geosciences 157, 104931, 2021
142021
Clustering of multivariate geostatistical data
F Fouedjio
Wiley Interdisciplinary Reviews: Computational Statistics 12 (5), e1510, 2020
122020
A Fully Non-stationary Linear Coregionalization Model for Multivariate Random Fields
F Fouedjio
Stochastic Environmental Research and Risk Assessment 32 (6), 1699–1721, 2017
102017
Predictive geological mapping using closed-form non-stationary covariance functions with locally varying anisotropy: case study at El Teniente Mine (Chile)
F Fouedjio, S Séguret
Natural Resources Research 25 (4), 431-443, 2016
102016
A Clustering Approach for Discovering Intrinsic Clusters in Multivariate Geostatistical Data
F Fouedjio
In Perner, P. (Eds.): Machine Learning and Data Mining in Pattern …, 2016
102016
Space Deformation Non-stationary Geostatistical Approach for Prediction of Geological Objects: Case Study at El Teniente Mine (Chile)
F Fouedjio
Natural Resources Research 25 (3), 283-296, 2015
92015
Conditional Simulation of Categorical Spatial Variables using Gibbs Sampling of a Truncated Multivariate Normal Distribution Subject to Linear Inequality Constraints
F Fouedjio, C Scheidt, L Yang, Y Wang, J Caers
Stochastic Environmental Research and Risk Assessment, 2020
82020
Discovering Spatially Contiguous Clusters in Multivariate Geostatistical Data Through Spectral Clustering
F Fouedjio
In J. Li et al. (Eds.): Advanced Data Mining and Applications. ADMA 2016 …, 2016
82016
Classification random forest with exact conditioning for spatial prediction of categorical variables
F Fouedjio
Artificial Intelligence in Geosciences 2, 82-95, 2021
72021
A Spectral Clustering Method for Large-Scale Geostatistical Datasets
F Fouedjio
In Perner, P. (Ed.) : Machine Learning and Data Mining in Pattern …, 2017
52017
Random forest for spatial prediction of censored response variables
F Fouedjio
Artificial Intelligence in Geosciences 2, 115-127, 2022
32022
Travail des Enfants de 5-14 ans et Rendement Scolaire au Cameroun
F Fouedjio
Éditions Universitaires Européennes, 120 pages, 2015
22015
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