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Abbas Maghsoudi
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2020 – today
- 2025
- [j13]Mehrdad Daviran, Abbas Maghsoudi, Reza Ghezelbash:
Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms. Comput. Geosci. 195: 105785 (2025) - 2024
- [j12]Amirreza Bigdeli, Abbas Maghsoudi, Reza Ghezelbash:
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. Earth Sci. Informatics 17(1): 483-499 (2024) - [j11]Mahsa Hajihosseinlou, Abbas Maghsoudi, Reza Ghezelbash:
Regularization in machine learning models for MVT Pb-Zn prospectivity mapping: applying lasso and elastic-net algorithms. Earth Sci. Informatics 17(5): 4859-4873 (2024) - [j10]Mobin Saremi, Abbas Maghsoudi, Zohre Hoseinzade, Ahmadreza Mokhtari:
Data-driven AHP: a novel method for porphyry copper prospectivity mapping in the Varzaghan District, NW Iran. Earth Sci. Informatics 17(6): 5063-5078 (2024) - [j9]Mahsa Hajihosseinlou, Abbas Maghsoudi, Reza Ghezelbash:
Stacking: A novel data-driven ensemble machine learning strategy for prediction and mapping of Pb-Zn prospectivity in Varcheh district, west Iran. Expert Syst. Appl. 237(Part C): 121668 (2024) - 2023
- [j8]Mehrdad Daviran, Reza Ghezelbash, Mohammad Niknezhad, Abbas Maghsoudi, Hessam Ghaeminejad:
Hybridizing K-means clustering algorithm with harmony search and artificial bee colony optimizers for intelligence mineral prospectivity mapping. Earth Sci. Informatics 16(3): 2143-2165 (2023) - [j7]Reza Ghezelbash, Abbas Maghsoudi, Mehdi Shamekhi, Biswajeet Pradhan, Mehrdad Daviran:
Genetic algorithm to optimize the SVM and K-means algorithms for mapping of mineral prospectivity. Neural Comput. Appl. 35(1): 719-733 (2023) - 2022
- [j6]Ali Akbar Aali, Adel Shirazy, Aref Shirazi, Amin Beiranvand Pour, Ardeshir Hezarkhani, Abbas Maghsoudi, Mazlan Hashim, Shayan Khakmardan:
Fusion of Remote Sensing, Magnetometric, and Geological Data to Identify Polymetallic Mineral Potential Zones in Chakchak Region, Yazd, Iran. Remote. Sens. 14(23): 6018 (2022) - 2021
- [j5]Mehrdad Daviran, Abbas Maghsoudi, Reza Ghezelbash, Biswajeet Pradhan:
A new strategy for spatial predictive mapping of mineral prospectivity: Automated hyperparameter tuning of random forest approach. Comput. Geosci. 148: 104688 (2021) - 2020
- [j4]Reza Ghezelbash, Abbas Maghsoudi, Emmanuel John M. Carranza:
Optimization of geochemical anomaly detection using a novel genetic K-means clustering (GKMC) algorithm. Comput. Geosci. 134 (2020) - [j3]Seyed Mohammad Bolouki, Hamid Reza Ramazi, Abbas Maghsoudi, Amin Beiranvand Pour, Ghahraman Sohrabi:
A Remote Sensing-Based Application of Bayesian Networks for Epithermal Gold Potential Mapping in Ahar-Arasbaran Area, NW Iran. Remote. Sens. 12(1): 105 (2020)
2010 – 2019
- 2019
- [j2]Reza Ghezelbash, Abbas Maghsoudi, Emmanuel John M. Carranza:
Performance evaluation of RBF- and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of S-A multifractal model and mineralization controls. Earth Sci. Informatics 12(3): 277-293 (2019) - 2017
- [j1]Mohammad Parsa, Abbas Maghsoudi, Mahyar Yousefi:
An improved data-driven fuzzy mineral prospectivity mapping procedure; cosine amplitude-based similarity approach to delineate exploration targets. Int. J. Appl. Earth Obs. Geoinformation 58: 157-167 (2017)
Coauthor Index
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