Katarzyna Małek

Department: 
DBP
Group: 
BP4
Personal webpage: 

https://www.ncbj.gov.pl/bp4/dr-hab-katarzyna-malek
https://kasiamalek.weebly.com/

Research focus: 

galaxy evolution, dust attenuation 

ML expertise / Scientific Expertise: 

SVM, FEM

Relevant publications: 
  1. Małek, K., Solarz, A., Pollo, A. et al., “The VIMOS Public Extragalactic Redshift Survey (VIPERS). A support vector machine classification of galaxies, stars, and AGNs”, Astronomy & Astrophysics, Volume 557, id.A16, 16 pp., 2013, https://www.aanda.org/articles/aa/full_html/2013/09/aa21447-13/aa21447-13.html
  2. Krakowski, T.; Małek, K.; Bilicki, M.; Pollo, A.; Kurcz, A.; Krupa, M., “Machine-learning identification of galaxies in the WISE × SuperCOSMOS all-sky catalogue”, Astronomy & Astrophysics, Volume 596, id.A39, 11 pp., 2016, https://ui.adsabs.harvard.edu/link_gateway/2016A%26A...596A..39K/PUB_PDF
  3. Siudek, M.; Małek, K.; Pollo, A.; Krakowski, T.; Iovino, A. et al., “The VIMOS Public Extragalactic Redshift Survey (VIPERS). The complexity of galaxy populations at 0.4 < z < 1.3 revealed with unsupervised machine-learning algorithms”, Astronomy & Astrophysics, Volume 617, id.A70, 25 pp., 2018, https://ui.adsabs.harvard.edu/link_gateway/2018A%26A...617A..70S/PUB_PDF