The research developed during the last year is summarized in the Annual Report 2019. This report is made available to the general public for reference. Collaboration from other research groups and from industry is encouraged.
Please contact Prof. Julian M. Ortiz if you would like to discuss a collaborative project.
The contents of the Annual Report 2019 can be downloaded in a single pdf document or as individual papers.
Table of contents Introduction Ortiz JM (2019) Geometallurgical modeling framework Cevik SI, Olivo G, Ortiz JM (2019) Knowledge discovery from geochemical data with supervised and unsupervised methods Avalos S, Ortiz JM (2019) Exploring the RCNN technique in a multiple-point statistics framework Riquelme A, Ortiz JM (2019) Updating geological codes through iterative jack-knife Riquelme A, Ortiz JM (2019) Modeling the uncertainty in geological volumes: the log-normal case Riquelme A, Ortiz JM (2019) A general approach to the assessment of uncertainty in volumes by using the multi-Gaussian model Bolgkoranou M, Ortiz JM (2019) Multivariate geostatistical simulation using Principal Component Analysis Midkiff W, Ortiz JM (2019) A literature review of p-wave velocities in rock under compression Ortiz JM (2019) MultiGaussian kriging: a review Avalos SA, Kracht W, Ortiz JM (2019) Using LSTM and GRU to predict SAG mill energy consumption Avalos S, Ortiz JM (2019) A simple, synthetic and two dimensional geometallurgical modeling application Avalos S, Ortiz JM (2019) Convolutional neural networks architecture: a tutorial Cevik SI, Ortiz JM (2019) Machine Learning in mineral exploration: a tutorial
