Western Hemisphere Webinar, Part 1
EDT
11.00 – 11.10
Mohammad Parsa & Daniel Coutts
Welcome & Introduction
11.10 – 11.30
Universidad de Chile
A combined use of geostatistics and machine learning to predict hydrothermal alterations for mineral exploration
11.30 – 11.50
Antoine Cate
SRK
The Foundation of Prospectivity Mapping: Prioritizing Data Quality Over Algorithm Complexity
11.50 – 12.10
Steven Zhang
Geological Survey of Canada
Recursive label annotation for mineral prospectivity mapping
12.10 – 12.30
Angel Daruna
SRI International, USA
Enabling Scalable Mineral Exploration: Self-Supervision and Explainability
12.30 – 12.50
Arya Kimiaghalam
University of Toronto
Interactive Immediate Neighbour Interpolation for Geophysical Raster Data
12.50 – 13.10
Lahiru Matheesha Nagasingha
Polytechnique Montréal
Uncertainty aware risk-return analysis for mineral prospectivity modelling
13.10 – 13.30
Kyubo Noh
University of Toronto
Applying agentic AI in the domain of mineral prospectivity mapping