Merkmalerkennung in mehrdimensionalen Datensätzen von geschmierten Kontakten

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Primary Data

Project Acronym Projekt Kurzbezeichnung
CSTAT: Feature detection
 
Project Title (de) Projekttitel (de)
Merkmalerkennung in mehrdimensionalen Datensätzen von geschmierten Kontakten
 
Project Title (en) Projekttitel (en)
Feature detection in multidimensional datasets of lubricated contacts
 
Consortium Coordinator Koordinator des Konsortiums
 
Principal Investigator Projektleiter_in
 

Grants

Funder/Funding Agency Fördergeber
FFG - Österr. Forschungsförderungs- gesellschaft mbH
Grant number Förderkennnummer
RV-TUW-01
 

Publications

Results 1-7 of 7 (Search time: 0.003 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Pfeiffer-2023-Analytica Chimica Acta-vor.pdf.jpgPfeiffer, Pia ; Filzmoser, Peter Robust statistical methods for high-dimensional data, with applications in tribologyArticle Artikel 23-Oct-2023
2Pfeiffer, Pia ; Alfons, Andreas ; Filzmoser, Peter Robust and Sparse CCA: An Algorithm for Dimension Reduction via Sparsity Inducing Penalties.Presentation Vortrag24-May-2023
3Pfeiffer, Pia ; Ronai, Bettina ; Vorlaufer, Georg ; Dörr, Nicole ; Filzmoser, Peter Weighted LASSO variable selection for the analysis of FTIR spectra applied to the prediction of engine oil degradationArticle Artikel 15-Sep-2022
4Pfeiffer, Pia ; Ronai, Bettina ; Vorlaufer, Georg ; Dörr, Nicole ; Filzmoser, Peter Prediction of engine oil degradation based on FTIR spectroscopic dataPresentation Vortrag15-Sep-2022
5Pfeiffer, Pia ; Alfons, Andreas ; Filzmoser, Peter Efficient computation of robust multivariate maximum associationPresentation Vortrag24-Aug-2022
6Pfeiffer, Pia ; Ronai, Bettina ; Vorlaufer, Georg ; Dörr, Nicole ; Filzmoser, Peter Prediction of engine oil degradation based on FTIR spectra and weighted LASSO regressionPresentation Vortrag21-Jun-2022
7Pfeiffer, Pia ; Ronai, Bettina ; Vorlaufer, Georg ; Dörr, Nicole ; Filzmoser, Peter Weighted LASSO feature selection for the analysis of FT-IR spectra applied to relate engine oil degradation patternsPresentation Vortrag28-Apr-2022