| A new strategy for spatial predictive mapping of mineral prospectivity: Automated hyperparameter tuning of random forest approach M Daviran, A Maghsoudi, R Ghezelbash, B Pradhan Computers & Geosciences 148, 104688, 2021 | 72 | 2021 |
| Optimization of geochemical anomaly detection using a novel genetic K-means clustering (GKMC) algorithm R Ghezelbash, A Maghsoudi, EJM Carranza Computers & Geosciences 134, 104335, 2020 | 72 | 2020 |
| Decomposition of anomaly patterns of multi-element geochemical signatures in Ahar area, NW Iran: a comparison of U-spatial statistics and fractal models M Parsa, A Maghsoudi, R Ghezelbash Arabian journal of Geosciences 9, 1-16, 2016 | 61 | 2016 |
| Performance evaluation of RBF-and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of SA multifractal model and mineralization … R Ghezelbash, A Maghsoudi, EJM Carranza Earth Science Informatics 12 (3), 277-293, 2019 | 60 | 2019 |
| Mapping of single-and multi-element geochemical indicators based on catchment basin analysis: Application of fractal method and unsupervised clustering models R Ghezelbash, A Maghsoudi, EJM Carranza Journal of Geochemical Exploration 199, 90-104, 2019 | 59 | 2019 |
| Application of self-organizing map (SOM) and K-means clustering algorithms for portraying geochemical anomaly patterns in Moalleman district, NE Iran A Bigdeli, A Maghsoudi, R Ghezelbash Journal of Geochemical Exploration 233, 106923, 2022 | 49 | 2022 |
| A hybrid AHP-VIKOR approach for prospectivity modeling of porphyry Cu deposits in the Varzaghan District, NW Iran R Ghezelbash, A Maghsoudi Arabian Journal of Geosciences 11, 1-15, 2018 | 49 | 2018 |
| Landslide susceptibility prediction using artificial neural networks, SVMs and random forest: hyperparameters tuning by genetic optimization algorithm M Daviran, M Shamekhi, R Ghezelbash, A Maghsoudi International Journal of Environmental Science and Technology 20 (1), 259-276, 2023 | 44 | 2023 |
| Comparison of U-spatial statistics and C–A fractal models for delineating anomaly patterns of porphyry-type Cu geochemical signatures in the Varzaghan district, NW Iran R Ghezelbash, A Maghsoudi Comptes Rendus Geoscience 350 (4), 180-191, 2018 | 42 | 2018 |
| Regional-scale mineral prospectivity mapping: Support vector machines and an improved data-driven multi-criteria decision-making technique R Ghezelbash, A Maghsoudi, A Bigdeli, EJM Carranza Natural Resources Research 30, 1977-2005, 2021 | 40 | 2021 |
| Prospectivity modeling of porphyry copper deposits: recognition of efficient mono-and multi-element geochemical signatures in the Varzaghan district, NW Iran R Ghezelbash, A Maghsoudi, M Daviran Acta Geochimica 38, 131-144, 2019 | 36 | 2019 |
| Sensitivity analysis of prospectivity modeling to evidence maps: Enhancing success of targeting for epithermal gold, Takab district, NW Iran R Ghezelbash, A Maghsoudi, EJM Carranza Ore Geology Reviews 120, 103394, 2020 | 35 | 2020 |
| An improved data-driven multiple criteria decision-making procedure for spatial modeling of mineral prospectivity: adaption of prediction–area plot and logistic functions R Ghezelbash, A Maghsoudi, EJM Carranza Natural Resources Research 28, 1299-1316, 2019 | 34 | 2019 |
| Combination of multifractal geostatistical interpolation and spectrum–area (S–A) fractal model for Cu–Au geochemical prospects in Feizabad district, NE Iran R Ghezelbash, A Maghsoudi, M Daviran Arabian Journal of Geosciences 12, 1-14, 2019 | 32 | 2019 |
| Assessment of Various Fuzzy c-Mean Clustering Validation Indices for Mapping Mineral Prospectivity: Combination of Multifractal Geochemical Model and … M Daviran, A Maghsoudi, DR Cohen, R Ghezelbash, H Yilmaz Natural Resources Research 29, 229-246, 2020 | 30 | 2020 |
| Genetic algorithm to optimize the SVM and K-means algorithms for mapping of mineral prospectivity R Ghezelbash, A Maghsoudi, M Shamekhi, B Pradhan, M Daviran Neural Computing and Applications 35 (1), 719-733, 2023 | 29 | 2023 |
| Incorporation of principal component analysis, geostatistical interpolation approaches and frequency-space-based models for portraying the Cu-Au geochemical prospects in the … R Ghezelbash, A Maghsoudi, M Daviran, H Yilmaz Geochemistry 79 (2), 323-336, 2019 | 25 | 2019 |
| Quantifying uncertainties linked to the diversity of mathematical frameworks in knowledge-driven mineral prospectivity mapping M Daviran, M Parsa, A Maghsoudi, R Ghezelbash Natural Resources Research 31 (5), 2271-2287, 2022 | 24 | 2022 |
| A novel scheme for mapping of MVT-type Pb–Zn prospectivity: LightGBM, a highly efficient gradient boosting decision tree machine learning algorithm M Hajihosseinlou, A Maghsoudi, R Ghezelbash Natural Resources Research 32 (6), 2417-2438, 2023 | 12 | 2023 |
| Incorporating the genetic and firefly optimization algorithms into K-means clustering method for detection of porphyry and skarn Cu-related geochemical footprints in Baft … R Ghezelbash, M Daviran, A Maghsoudi, H Ghaeminejad, M Niknezhad Applied Geochemistry 148, 105538, 2023 | 12 | 2023 |
Abbas MaghsoudiAssociate Professor, Amirkabir University of TechnologyVerified email at aut.ac.ir
