Mohammad Parsa
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Geological Survey of Canada
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-1919-4023
- OpenAlex ID
- A5069044484, A5123086095, A5123194693
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 11
A data augmentation approach to XGboost-based mineral potential mapping: An example of carbonate-hosted Zn Pb mineral systems of Western Iran,
An improved data-driven fuzzy mineral prospectivity mapping procedure; cosine amplitude-based similarity approach to delineate exploration targets,
Applications of Natural Language Processing to Geoscience Text Data and Prospectivity Modeling,
A simulation-based framework for modulating the effects of subjectivity in greenfield Mineral Prospectivity Mapping with geochemical and geological data,
A study of faults in the Superior province of Ontario and Quebec using the random forest machine learning algorithm: Spatial relationship to gold mines,
Class Label Representativeness in Machine Learning-Based Mineral Prospectivity Mapping,
Deep GMDH Neural Networks for Predictive Mapping of Mineral Prospectivity in Terrains Hosting Few but Large Mineral Deposits,
Denoising of Geochemical Data using Deep Learning–Implications for Regional Surveys
+3 more
← Authored by 11
A data augmentation approach to XGboost-based mineral potential mapping: An example of carbonate-hosted Zn Pb mineral systems of Western Iran,
An improved data-driven fuzzy mineral prospectivity mapping procedure; cosine amplitude-based similarity approach to delineate exploration targets,
Applications of Natural Language Processing to Geoscience Text Data and Prospectivity Modeling,
A simulation-based framework for modulating the effects of subjectivity in greenfield Mineral Prospectivity Mapping with geochemical and geological data,
A study of faults in the Superior province of Ontario and Quebec using the random forest machine learning algorithm: Spatial relationship to gold mines,
Class Label Representativeness in Machine Learning-Based Mineral Prospectivity Mapping,
Deep GMDH Neural Networks for Predictive Mapping of Mineral Prospectivity in Terrains Hosting Few but Large Mineral Deposits,
Denoising of Geochemical Data using Deep Learning–Implications for Regional Surveys
+3 more
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Summary
Mohammad Parsa is a human[1].