Emmanuel John M. Carranza

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 8

Top Topics

Machine Learning

Image Enhancement

Predictive Modeling

Top Venues

Comput. Geosci.

Earth Sci. Informatics

Publications

Xingnian Jiang, Xinqing Wang, Yue Liu, Emmanuel John M. Carranza, Shuyun Xie, Xiang Wan
Spatial extrapolation of downscaled geochemical data using conditional GAN. Comput. Geosci. 179 (2023)
Saeid Esmaeiloghli, Seyed Hassan Tabatabaei, Emmanuel John M. Carranza
Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization. Comput. Geosci. 175 (2023)
Sergei Shevyrev, Ekaterina V. Gorobeyko, Emmanuel John M. Carranza, Natalia G. Boriskina
First-Pass prospectivity mapping for Au-Ag mineralization in Sikhote-Alin Superterrane, Southeast Russia through field sampling, image enhancement on ASTER data, and MaxEnt modeling. Earth Sci. Informatics 16 (1) (2023)
Ran Jia, Yikai Lv, Gongwen Wang, Emmanuel John M. Carranza, Yongqing Chen, Chao Wei, Zhiqiang Zhang
A stacking methodology of machine learning for 3D geological modeling with geological-geophysical datasets, Laochang Sn camp, Gejiu (China). Comput. Geosci. 151 (2021)
Reza Ghezelbash, Abbas Maghsoudi, Emmanuel John M. Carranza
-means clustering (GKMC) algorithm. Comput. Geosci. 134 (2020)
Guxi Wang, Hongwei Han, Emmanuel John M. Carranza, Si Guo, Ke Guo, Keyan Xiao
Tensor-Based Low-Rank and Sparse Prior Information Constraints for Hyperspectral Image Denoising. IEEE Access 8 (2020)
Shuai Zhang, Keyan Xiao, Emmanuel John M. Carranza, Fan Yang, Zhicheng Zhao
Integration of auto-encoder network with density-based spatial clustering for geochemical anomaly detection for mineral exploration. Comput. Geosci. 130 (2019)
Reza Ghezelbash, Abbas Maghsoudi, Emmanuel John M. Carranza
Performance evaluation of RBF- and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of S-A multifractal model and mineralization controls. Earth Sci. Informatics 12 (3) (2019)
Mahyar Yousefi, Emmanuel John M. Carranza
Geometric average of spatial evidence data layers: A GIS-based multi-criteria decision-making approach to mineral prospectivity mapping. Comput. Geosci. 83 (2015)
Mahyar Yousefi, Emmanuel John M. Carranza
Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping. Comput. Geosci. 74 (2015)
Emmanuel John M. Carranza, Alice G. Laborte
Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines). Comput. Geosci. 74 (2015)
Mahyar Yousefi, Emmanuel John M. Carranza
Prediction-area (P-A) plot and C-A fractal analysis to classify and evaluate evidential maps for mineral prospectivity modeling. Comput. Geosci. 79 (2015)
Freek D. van der Meer, Harald van der Werff, Frank van Ruitenbeek, Chris A. Hecker, Wim H. Bakker, Marleen F. Noomen, Mark van der Meijde, Emmanuel John M. Carranza, J. Boudewijn de Smeth, Tsehaie Woldai
Multi- and hyperspectral geologic remote sensing: A review. Int. J. Appl. Earth Obs. Geoinformation 14 (1) (2012)
Xiaogang Ma, Emmanuel John M. Carranza, Chonglong Wu, Freek D. van der Meer
Ontology-aided annotation, visualization, and generalization of geological time-scale information from online geological map services. Comput. Geosci. 40 (2012)
Jiangnan Zhao, Shouyu Chen, Renguang Zuo, Emmanuel John M. Carranza
Mapping complexity of spatial distribution of faults using fractal and multifractal models: vectoring towards exploration targets. Comput. Geosci. 37 (12) (2011)
Renguang Zuo, Emmanuel John M. Carranza
Support vector machine: A tool for mapping mineral prospectivity. Comput. Geosci. 37 (12) (2011)
Xiaogang Ma, Emmanuel John M. Carranza, Chonglong Wu, Freek D. van der Meer, Gang Liu
A SKOS-based multilingual thesaurus of geological time scale for interoperability of online geological maps. Comput. Geosci. 37 (10) (2011)
Emmanuel John M. Carranza
Geocomputation of mineral exploration targets. Comput. Geosci. 37 (12) (2011)
Mansour Ziaii, Emmanuel John M. Carranza, Mahdi Ziaei
Application of geochemical zonality coefficients in mineral prospectivity mapping. Comput. Geosci. 37 (12) (2011)
Xiaogang Ma, Emmanuel John M. Carranza, Freek D. van der Meer, Chonglong Wu, Xialin Zhang
Algorithms for multi-parameter constrained compositing of borehole assay intervals from economic aspects. Comput. Geosci. 36 (7) (2010)
Xiaogang Ma, Chonglong Wu, Emmanuel John M. Carranza, Ernst M. Schetselaar, Freek D. van der Meer, Gang Liu, Xinqing Wang, Xialin Zhang
Development of a controlled vocabulary for semantic interoperability of mineral exploration geodata for mining projects. Comput. Geosci. 36 (12) (2010)
Emmanuel John M. Carranza
Objective selection of suitable unit cell size in data-driven modeling of mineral prospectivity. Comput. Geosci. 35 (10) (2009)
Pravesh Debba, Emmanuel John M. Carranza, Alfred Stein, Freek D. van der Meer
Optimum Sampling Scheme for Characterization of Mine Tailings. IGARSS (4) (2009)
Pravesh Debba, Alfred Stein, Freek D. van der Meer, Emmanuel John M. Carranza, Arko Lucieer
Field Sampling from a Segmented Image. ICCSA (1) (2008)
Emmanuel John M. Carranza, Frank van Ruitenbeek, Chris A. Hecker, Mark van der Meijde, Freek D. van der Meer
Knowledge-guided data-driven evidential belief modeling of mineral prospectivity in Cabo de Gata, SE Spain. Int. J. Appl. Earth Obs. Geoinformation 10 (3) (2008)
Pravesh Debba, Emmanuel John M. Carranza, Freek D. van der Meer, Alfred Stein
Abundance Estimation of Spectrally Similar Minerals by Using Derivative Spectra in Simulated Annealing. IEEE Trans. Geosci. Remote. Sens. 44 (12) (2006)
Alok Porwal, Emmanuel John M. Carranza, M. Hale
Bayesian network classifiers for mineral potential mapping. Comput. Geosci. 32 (1) (2006)