Citation Impact
Citing Papers
Digital Economy as a Factor in the Technological Development of the Mineral Sector
2019 Standout
Artificial intelligence applications in Latin American higher education: a systematic review
2022 Standout
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
2020 Standout
A Systematic Review of Research on the Use of Artificial Intelligence in English Language Teaching and Learning (2015-2021): What are the Current Effects?
2022 Standout
GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
2015 Standout
Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)
2014
Metaverse-Powered Experiential Situational English-Teaching Design: An Emotion-Based Analysis Method
2022 Standout
Design of online intelligent English teaching platform based on artificial intelligence techniques
2020 Standout
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Usage of Machine Learning for Strategic Decision Making at Higher Educational Institutions
2019
An English Network Teaching Method Supported by Artificial Intelligence Technology and WBIETS System
2021
Random Forest-Based Prospectivity Modelling of Greenfield Terrains Using Sparse Deposit Data: An Example from the Tanami Region, Western Australia
2017
Cemented paste backfill for mineral tailings management: Review and future perspectives
2019 Standout
Recycling phosphogypsum and construction demolition waste for cemented paste backfill and its environmental impact
2018 Standout
Prediction of open stope hangingwall stability using random forests
2018
Comparison of the Data-Driven Random Forests Model and a Knowledge-Driven Method for Mineral Prospectivity Mapping: A Case Study for Gold Deposits Around the Huritz Group and Nueltin Suite, Nunavut, Canada
2015
Lithologic mapping using Random Forests applied to geophysical and remote-sensing data: A demonstration study from the Eastern Goldfields of Australia
2018
Constitutive modelling of cemented paste backfill: A data-mining approach
2018
Research on the improvement of teachers’ teaching ability based on machine learning and digital twin technology
2020
Works of M. Chica-Rivas being referenced
Predictive modelling of gold potential with the integration of multisource information based on random forest: a case study on the Rodalquilar area, Southern Spain
2014
Evaluation of different machine learning methods for land cover mapping of a Mediterranean area using multi-seasonal Landsat images and Digital Terrain Models
2012
Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
2015