Sustainable exploration for orthomagmatic (critical) raw materials in the EU: Charting the road to the green energy transition.


Project Acronym Projekt Kurzbezeichnung
CSTAT: SEMACRET
 
Project Title (de) Projekttitel (de)
Sustainable exploration for orthomagmatic (critical) raw materials in the EU: Charting the road to the green energy transition.
 
Project Title (en) Projekttitel (en)
Sustainable exploration for orthomagmatic (critical) raw materials in the EU: Charting the road to the green energy transition.
 
Consortium Coordinator Koordinator des Konsortiums
 
Principal Investigator Projektleiter_in
 
Funder/Funding Agency Fördergeber
European Commission
Grant number Förderkennnummer
SEMACRET - 101057741 - GAP-101057741
 

Publications

Results 1-8 of 8 (Search time: 0.01 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Kalubowila-2025-Bulletin of the Geological Society of Finland-am.pdf.jpgKalubowila, Charmee ; Sarala, Pertti ; Pospiech, Solveig ; Filzmoser, Peter Exploring high-resolution targeting till geochemical data in central Lapland, FinlandArticle Artikel 2025
2Puchhammer, Patricia ; Wilms, Ines ; Filzmoser, Peter Sparse outlier-robust PCA for multi-source dataPreprint Preprint23-Jul-2024
3Puchhammer, Patricia ; Filzmoser, Peter ; Wilms, Ines Groupwise sparse PCA for spatial dataPresentation Vortrag4-Apr-2024
4Puchhammer, Patricia ; Kalubowila, Charmee ; Braus, Lorena ; Pospiech, Solveig ; Sarala, Pertti ; Filzmoser, Peter A performance study of local outlier detection methods for mineral exploration with geochemical compositional dataArticle Artikel Mar-2024
5Puchhammer, Patricia ; Filzmoser, Peter Spatially Smoothed Robust Covariance Estimation for Local Outlier DetectionArticle Artikel 21-Dec-2023
6Puchhammer, Patricia ; Filzmoser, Peter Spatial outlier detection using the spatially smoothed MRCDPresentation Vortrag7-Aug-2023
7Puchhammer, Patricia ; Filzmoser, Peter Detecting Local Outliers Using the Spatially Smoothed MRCD EstimatorPresentation Vortrag12-Jun-2023
8Filzmoser, Peter Outliers and compositional dataPresentation Vortrag7-Jun-2022