Abbas Maghsoudi

According to our database, Abbas Maghsoudi authored at least 13 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms.

Mehrdad Daviran, Abbas Maghsoudi, Reza Ghezelbash

Comput. Geosci., 2025

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, December, 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, October, 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., March, 2024

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, February, 2024

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, September, 2023

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

2022

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., December, 2022

2021

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

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

Optimization of geochemical anomaly detection using a novel genetic <i>K</i>-means clustering (GKMC) algorithm.

Reza Ghezelbash, Abbas Maghsoudi, Emmanuel John M. Carranza

Comput. Geosci., 2020

2019

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

2017

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