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start [2020/12/10 15:34] – [Welcome to our Machine Learning Portal!] admin | start [2021/03/03 11:24] (current) – admin | ||
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- | This site will be filled with more and more content during the progress of our work package. There are also [[:news|]], [[: | + | This site will be filled with more and more content during the progress of our work package. There is a [[: |
+ | <WRAP info> | ||
- | ===== Objectives ===== | + | You can also follow us on Twitter ([[https:// |
- | The main objectives of the machine learning work package are: | + | </WRAP> |
- | + | ||
- | * To develop machine learning (ML) tools, designed for and tested on planetary science cases submitted by the community, and to provide sustainable, | + | |
- | * To foster wider use of ML technologies in data driven space research, demonstrate ML capabilities and generate a wider discussion on further possible applications of ML | + | |
- | + | ||
- | The goal is to build a multipurpose toolset for ML-based data analysis that will be applicable to a range of scientific research questions in planetary science with minor or easily-achievable customization efforts. | + | |
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- | The tools will be shared and made accessible to the wider planetary science community through this webpage, the ML Portal. The ML work package will also provide documentation and tutorials, to support the beneficiaries and the users of the ML tools. | + | |
- | + | ||
- | ===== Work Package Beneficiaries and Partners ===== | + | |
- | + | ||
- | | \\ **Work Package Beneficiaries and Partners** || | + | |
- | | \\ ACRI-ST| \\ ACRI-ST, France| | + | |
- | | \\ AOP| \\ Armagh Observatory and Planetarium, | + | |
- | | \\ DLR| \\ Deutsches Zentrum für Luft- und Raumfahrt, Germany| | + | |
- | | \\ KNOW| \\ Know-Center GmbH, Austria| | + | |
- | | \\ IAP-CAS| \\ Institute of Atmospheric Physics, Academy of Sciences of Czech Republic, Czech Republic| | + | |
- | | \\ INAF| \\ National Institute for Astrophysics, | + | |
- | | \\ IWF-OEAW| \\ Space Research Institute, Austrian Academy of Sciences, Austria| | + | |
- | | \\ LMSU| \\ M.V. Lomonosov Moscow State University, Russia| | + | |
- | | \\ UNIPASSAU| \\ University of Passau, Germany| | + | |
- | + | ||
- | ===== Science Cases ===== | + | |
- | + | ||
- | During the proposal phase of Europlanet 2024 RI, the scientific community was asked to submit so-called science cases - problems where machine learning approaches seem promising. The following science cases where selected and are now worked on in our work package. | + | |
- | + | ||
- | ^Proposer | + | |
- | |IAP-CAS | + | |
- | | ::: |[[: | + | |
- | |INAF |Mineral identification via reflectance spectra (planetary surfaces/compositions/ | + | |
- | |DLR |[[: | + | |
- | |AOP |[[: | + | |
- | |GMAP |[[: | + | |
- | |IWF-OEAW | + | |
- | |LMSU |[[: | + | |
start.1607610887.txt.gz · Last modified: 2020/12/10 15:34 by admin