An improved data-driven fuzzy mineral prospectivity mapping procedure; cosine amplitude-based similarity approach to delineate exploration targets. - Mohammad Parsa; Abbas Maghsoudi; Mahyar Yousefi (Int. J. Appl. Earth Obs. Geoinformation, 2017)

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 Sci. Informatics, 2019)

Optimization of geochemical anomaly detection using a novel genetic K-means clustering (GKMC) algorithm. - Reza Ghezelbash; Abbas Maghsoudi; Emmanuel John M. Carranza (Comput. Geosci., 2020)

A Remote Sensing-Based Application of Bayesian Networks for Epithermal Gold Potential Mapping in Ahar-Arasbaran Area, NW Iran. - Seyed Mohammad Bolouki; Hamid Reza Ramazi; Abbas Maghsoudi; Amin Beiranvand Pour; Ghahraman Sohrabi (Remote. Sens., 2020)

A new strategy for spatial predictive mapping of mineral prospectivity: Automated hyperparameter tuning of random forest approach. - Mehrdad Daviran; Abbas Maghsoudi; Reza Ghezelbash; Biswajeet Pradhan (Comput. Geosci., 2021)

Fusion of Remote Sensing, Magnetometric, and Geological Data to Identify Polymetallic Mineral Potential Zones in Chakchak Region, Yazd, Iran. - Ali Akbar Aali; Adel Shirazy; Aref Shirazi; Amin Beiranvand Pour; Ardeshir Hezarkhani; Abbas Maghsoudi; Mazlan Hashim; Shayan Khakmardan (Remote. Sens., 2022)

Genetic algorithm to optimize the SVM and K-means algorithms for mapping of mineral prospectivity. - Reza Ghezelbash; Abbas Maghsoudi; Mehdi Shamekhi; Biswajeet Pradhan; Mehrdad Daviran (Neural Comput. Appl., 2023)

Hybridizing K-means clustering algorithm with harmony search and artificial bee colony optimizers for intelligence mineral prospectivity mapping. - Mehrdad Daviran; Reza Ghezelbash; Mohammad Niknezhad; Abbas Maghsoudi; Hessam Ghaeminejad (Earth Sci. Informatics, 2023)

A comparative study of the XGBoost ensemble learning and multilayer perceptron in mineral prospectivity modeling: a case study of the Torud-Chahshirin belt, NE Iran. - Amirreza Bigdeli; Abbas Maghsoudi; Reza Ghezelbash (Earth Sci. Informatics, 2024)

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 Syst. Appl., 2024)

Regularization in machine learning models for MVT Pb-Zn prospectivity mapping: applying lasso and elastic-net algorithms. - Mahsa Hajihosseinlou; Abbas Maghsoudi; Reza Ghezelbash (Earth Sci. Informatics, 2024)

Data-driven AHP: a novel method for porphyry copper prospectivity mapping in the Varzaghan District, NW Iran. - Mobin Saremi; Abbas Maghsoudi; Zohre Hoseinzade; Ahmadreza Mokhtari (Earth Sci. Informatics, 2024)

Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms. - Mehrdad Daviran; Abbas Maghsoudi; Reza Ghezelbash (Comput. Geosci., 2025)

Density based spatial clustering of applications with noise and fuzzy C-means algorithms for unsupervised mineral prospectivity mapping. - Reza Ghezelbash; Mehrdad Daviran; Abbas Maghsoudi; Mahsa Hajihosseinlou (Earth Sci. Informatics, 2025)