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A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing Data

artículo científico publicado en 2022

A review of machine learning in processing remote sensing data for mineral exploration

scientific article published in 2022

Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models

artículo científico

Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in Badlands

Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction.

artículo científico publicado en 2015

Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data

artículo científico publicado en 2019

Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0.1.2: setting up for success

artículo científico publicado en 2019

Multicore Parallel Tempering Bayeslands for Basin and Landscape Evolution

Predicting the emplacement of Cordilleran porphyry copper systems using a spatio-temporal machine learning model

Problem Decomposition and  Adaptation in Cooperative  Neuro-Evolution

2012 doctoral thesis by Rohitash Chandra at Victoria University of Wellington

Reef-Insight: A Framework for Reef Habitat Mapping with Clustering Methods Using Remote Sensing

scientific article published in 2023

Surrogate-assisted Bayesian inversion for landscape and basin evolution models

scientific article published in 2020

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