Reza Ghezelbash - Concepedia

Concepedia

Author

Reza Ghezelbash

Amirkabir University of Technology ORCID

Also Known As

R. Ghezelbash, Reza Ghezelbash

52

Publications

1.9K

Citations

27

H-Index

66

Concepts

All Affiliations

Amirkabir University of Technology University of Tehran University of Shahrood University of KwaZulu-Natal Sejong University

RG

About

Reza Ghezelbash is an author at Amirkabir University of Technology specializing in engineering, geography, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	26	30	1.7K
2	Management	3	3	148
3	Public Health	1	1	39
4	Social Sciences	1	1	57
5	Biostatistics	1	1	28

Reza Ghezelbash

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38

Publications

1.9K

Citations

27

H-Index

	Year	Citations
A new strategy for spatial predictive mapping of mineral prospectivity: Automated hyperparameter tuning of random forest approach Mehrdad Daviran, Abbas Maghsoudi, Reza Ghezelbash, Computers & Geosciences Spatial Predictive MappingEngineeringData ScienceGeomorphologyMineral Exploration	2021	123
A Novel Scheme for Mapping of MVT-Type Pb–Zn Prospectivity: LightGBM, a Highly Efficient Gradient Boosting Decision Tree Machine Learning Algorithm Mahsa Hajihosseinlou, Abbas Maghsoudi, Reza Ghezelbash Natural Resources Research EngineeringMachine LearningData ScienceData MiningDecision Tree	2023	121
Landslide susceptibility prediction using artificial neural networks, SVMs and random forest: hyperparameters tuning by genetic optimization algorithm Mehrdad Daviran, Mehdi Shamekhi, Reza Ghezelbash, International Journal of Environmental Science and Technology Geotechnical EngineeringRock SlideDisaster DetectionEngineeringMachine Learning	2022	116
Optimization of geochemical anomaly detection using a novel genetic K-means clustering (GKMC) algorithm Reza Ghezelbash, Abbas Maghsoudi, Emmanuel John M. Carranza Computers & Geosciences Geochemical AnomalyAnomaly DetectionEnvironmental MonitoringData ScienceData Mining	2019	104
Application of self-organizing map (SOM) and K-means clustering algorithms for portraying geochemical anomaly patterns in Moalleman district, NE Iran Amirreza Bigdeli, Abbas Maghsoudi, Reza Ghezelbash Journal of Geochemical Exploration Geochemical AnomalyEngineeringData ScienceK-means Clustering AlgorithmsData Mining	2021	93
Stacking: A novel data-driven ensemble machine learning strategy for prediction and mapping of Pb-Zn prospectivity in Varcheh district, west Iran Mahsa Hajihosseinlou, Abbas Maghsoudi, Reza Ghezelbash Expert Systems with Applications Probabilistic ForecastingEngineeringMachine LearningData ScienceData Mining	2023	89
Genetic algorithm to optimize the SVM and K-means algorithms for mapping of mineral prospectivity Reza Ghezelbash, Abbas Maghsoudi, Mehdi Shamekhi, Neural Computing and Applications Ore ExplorationEngineeringData ScienceData MiningMineral Exploration	2022	88
Regional-Scale Mineral Prospectivity Mapping: Support Vector Machines and an Improved Data-Driven Multi-criteria Decision-Making Technique Reza Ghezelbash, Abbas Maghsoudi, Amirreza Bigdeli, Natural Resources Research Environmental MonitoringEngineeringData ScienceMineral ExplorationPredictive Analytics	2021	79
Mapping of single- and multi-element geochemical indicators based on catchment basin analysis: Application of fractal method and unsupervised clustering models Reza Ghezelbash, Abbas Maghsoudi, Emmanuel John M. Carranza Journal of Geochemical Exploration HydrogeologyMulti-element Geochemical IndicatorsEnvironmental MonitoringCatchment Basin AnalysisEngineering	2019	71
Performance evaluation of RBF- and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of S-A multifractal model and mineralization controls Reza Ghezelbash, Abbas Maghsoudi, Emmanuel John M. Carranza Earth Science Informatics Support Vector MachineEngineeringMachine LearningData ScienceMineral Exploration	2019	69

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