Isabel Cecilia Contreras Acosta

Orcid: 0000-0002-4758-6550

According to our database1, Isabel Cecilia Contreras Acosta authored at least 13 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2021
The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Resolution Enhancement for Drill-Core Hyperspectral Mineral Mapping.
Remote. Sens., 2021

2020
Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data.
Remote. Sens., 2020

2019
A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction.
Sensors, 2019

A Supervised Method for Nonlinear Hyperspectral Unmixing.
Remote. Sens., 2019

Geochemical And Hyperspectral Data Fusion For Drill-Core Mineral Mapping.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
A Machine Learning Technique for Drill Core Hyperspectral Data Analysis.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Extraction of Structural and Mineralogical Features from Hyperspectral Drill-Core Scans.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Subspace Multinomial Logistic Regression Ensemble for Classification of Hyperspectral Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018


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