Annual Report 2021

The Annual Report for 2021 presents the output of our research in the last year. All papers are open to the general public for reference, in order to encourage collaboration with other research groups and industry.

Please contact Prof. Julian M. Ortiz if you would like to discuss a collaborative project.

The contents of the Annual Report 2021 can be downloaded in a single pdf document or as individual papers.

Table of contents

Introduction
Ortiz JM (2021) Progress towards geometallurgical digital twins, paper 2021-01
Avalos S, Ortiz JM (2021) Fundamentals of Deep Q-Learning, paper 2021-02
Avalos S, Ortiz JM (2021) Understanding process performance with causal inference for continuous variables, paper 2021-03
Riquelme A, Ortiz JM (2020) Notes on the topology of random fields, paper 2021-04
Casson D, Ortiz JM (2020) Application of Disjunctive Kriging in Sequential Simulation, paper 2021-05
Altinpinar M, Ortiz JM (2021) A quick guide to developing a mine plan, paper 2020-06
Koruk K (2021) A simple implementation example of SVC, paper 2021-07
Koruk K (2021) Relevance Vector Machines: an introduction, paper 2021-08