Reply to the comment by B. Ghobadipour and B. Mojarradi “M. Abedi, S.A. Torabi, G.-H. Norouzi and M. Hamzeh; ELECTRE III: A knowledge-driven method for integration of geophysical data with geological and geochemical data in mineral prospectivity mapping”

Mineral Prospectivity ◽

ELECTRE III: A knowledge-driven method for integration of geophysical data with geological and geochemical data in mineral prospectivity mapping

Journal of Applied Geophysics ◽

10.1016/j.jappgeo.2012.08.003 ◽

2012 ◽

Vol 87 ◽

pp. 9-18 ◽

Cited By ~ 52

Author(s):

Maysam Abedi ◽

Seyed Ali Torabi ◽

Gholam-Hossain Norouzi ◽

Mohammad Hamzeh

Keyword(s):

Geophysical Data ◽

Geochemical Data ◽

Electre Iii ◽

Mineral Prospectivity ◽

Comment on: M. Abedi, S. A. Torabi, Gh. Norouzi and M. Hamzeh, ‘ELECTRE III: A knowledge-driven method for integration of geophysical data with geological and geochemical data in mineral prospectivity mapping’

Journal of Applied Geophysics ◽

10.1016/j.jappgeo.2015.03.005 ◽

2015 ◽

Vol 117 ◽

pp. 136-137

Author(s):

Behrooz Ghobadipour ◽

Barat Mojarradi

Keyword(s):

Geophysical Data ◽

Geochemical Data ◽

Electre Iii ◽

Mineral Prospectivity ◽

A Monte Carlo-based framework for risk-return analysis in mineral prospectivity mapping

Geoscience Frontiers ◽

10.1016/j.gsf.2020.02.010 ◽

2020 ◽

Vol 11 (6) ◽

pp. 2297-2308 ◽

Cited By ~ 5

Author(s):

Ziye Wang ◽

Zhen Yin ◽

Jef Caers ◽

Renguang Zuo

Keyword(s):

Monte Carlo ◽

Risk Return ◽

Mineral Prospectivity ◽

A Hybrid Logistic Regression: Gene Expression Programming Model and Its Application to Mineral Prospectivity Mapping

10.1007/s11053-021-09918-1 ◽

2021 ◽

Author(s):

Fan Xiao ◽

Weilin Chen ◽

Jun Wang ◽

Oktay Erten

Keyword(s):

Gene Expression ◽

Logistic Regression ◽

Programming Model ◽

Gene Expression Programming ◽

Mineral Prospectivity ◽

Regional-Scale Mineral Prospectivity Mapping: Support Vector Machines and an Improved Data-Driven Multi-criteria Decision-Making Technique

10.1007/s11053-021-09842-4 ◽

2021 ◽

Author(s):

Reza Ghezelbash ◽

Abbas Maghsoudi ◽

Amirreza Bigdeli ◽

Emmanuel John M. Carranza

Keyword(s):

Decision Making ◽

Support Vector Machines ◽

Regional Scale ◽

Data Driven ◽

Support Vector ◽

Multi Criteria Decision Making ◽

Vector Machines ◽

Mineral Prospectivity ◽

Machine Learning-Based 3D Modeling of Mineral Prospectivity Mapping in the Anqing Orefield, Eastern China

10.1007/s11053-021-09893-7 ◽

2021 ◽

Author(s):

Yaozu Qin ◽

Liangming Liu ◽

Weicheng Wu

Keyword(s):

Machine Learning ◽

3D Modeling ◽

Eastern China ◽

Mineral Prospectivity ◽

A COMPARATIVE ANALYSIS OF INDEX OVERLAY AND TOPSIS (BASED ON AHP WEIGHT) FOR IRON SKARN MINERAL PROSPECTIVITY MAPPING, A CASE STUDY IN SARVIAN AREA, MARKAZI PROVINCE, IRAN

Bulletin Of The Mineral Research and Exploration ◽

10.19111/bulletinofmre.305201 ◽

2017 ◽

pp. 1-1

Author(s):

Edris Mansouri ◽

Faranak Feizi ◽

Alireza Jafari Rad ◽

Mehran Arian

Keyword(s):

Comparative Analysis ◽

Mineral Prospectivity ◽

Index Overlay ◽

Prospectivity Mapping ◽

Skarn Mineral

Isolation Forest as an Alternative Data-Driven Mineral Prospectivity Mapping Method with a Higher Data-Processing Efficiency

10.1007/s11053-018-9375-6 ◽

2018 ◽

Vol 28 (1) ◽

pp. 31-46 ◽

Cited By ~ 10

Author(s):

Yongliang Chen ◽

Wei Wu

Keyword(s):

Data Processing ◽

Mapping Method ◽

Data Driven ◽

Processing Efficiency ◽

Mineral Prospectivity ◽

Isolation Forest ◽

Mineral prospectivity mapping of Cu-Au by integrating AHP technique with ARAS and WASPAS models in the Sonajil area, E-Azerbaijan

Zeitschrift der Deutschen Gesellschaft für Geowissenschaften ◽

10.1127/zdgg/2021/0256 ◽

2021 ◽

Author(s):

Mohammadjafar Mohammadzadeh ◽

Aynur Nasseri ◽

Majid Mahboubiaghdam ◽

Moharram Jahangiri

Keyword(s):

Mineral Prospectivity ◽

Random-Drop Data Augmentation of Deep Convolutional Neural Network for Mineral Prospectivity Mapping

10.1007/s11053-020-09742-z ◽

2020 ◽

Cited By ~ 2

Author(s):

Tong Li ◽

Renguang Zuo ◽

Yihui Xiong ◽

Yong Peng

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Data Augmentation ◽

Deep Convolutional Neural Network ◽

Mineral Prospectivity ◽