2024-10-03, 11:30–12:15, Raiffa Room (IIASA)
In this workshop, the participants will apply an automated machine learning framework suitable for EO data.
In this workshop, the participants will apply an automated machine learning framework suitable for EO data able to:
- Define an optimum number of models to produce per-pixel values and prediction interval considering the mapping requirements and computational resources available
- Evaluate the computation efficiency and model performance for several ML models considering specific input EO data and target variable
- Establish the model hyper-parameters able to reduce the computation time without significantly reducing the model performance - Establish a plan for distributing the processing in a multi-node high performance computing (HPC) environment.
Open-Earth-Monitor Cyberinfrastructure (Grant agreement ID: 101059548)
Please provide URL that you plan to use to distribute your materials (if available). –
Computer scientist with a PhD in Environmental Science working with remote sensing, data science, machine learning, high-performance computing and WebGIS applications.