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 | 104 | 2021 |
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 | 76 | 2023 |
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 | 69 | 2023 |
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 | 42 | 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 | 39 | 2020 |
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 | 36 | 2022 |
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 | 34 | 2019 |
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 | 33 | 2019 |
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 | 22 | 2023 |
Hybridizing K-means clustering algorithm with harmony search and artificial bee colony optimizers for intelligence mineral prospectivity mapping M Daviran, R Ghezelbash, M Niknezhad, A Maghsoudi, H Ghaeminejad Earth Science Informatics 16 (3), 2143-2165, 2023 | 20 | 2023 |
GWOKM: A novel hybrid optimization algorithm for geochemical anomaly detection based on Grey wolf optimizer and K-means clustering M Daviran, R Ghezelbash, A Maghsoudi Geochemistry 84 (1), 126036, 2024 | 16 | 2024 |
Implementation of Fuzzy-AHP and Fuzzy-GAMMA approaches for discovering the prospectivity areas of Au mineralization in Takhte-Soleyman district R Ghezelbash, A Maghsoudi, M Daviran Researches in Earth Sciences 10 (1), 143-162, 2019 | 10 | 2019 |
Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms M Daviran, A Maghsoudi, R Ghezelbash Computers & Geosciences 195, 105785, 2025 | 8 | 2025 |
Uncertainty quantification in genetic algorithm-optimized artificial intelligence-based mineral prospectivity models: automated hyperparameter tuning for support vector … M Daviran, R Ghezelbash, M Hajihosseinlou, A Maghsoudi Modeling Earth Systems and Environment 11 (1), 1-23, 2025 | 2 | 2025 |
Density based spatial clustering of applications with noise and fuzzy C-means algorithms for unsupervised mineral prospectivity mapping R Ghezelbash, M Daviran, A Maghsoudi, M Hajihosseinlou Earth Science Informatics 18 (2), 217, 2025 | | 2025 |