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Peer-reviewedPublisher termsAstronomy & Astrophysics

Data representation matters: Optimising machine learning for X-ray source classification by leveraging spatio-spectral information

  • Maggie Lieu
  • Ivan Valtchanov
  • Marguerite Pierre
  • Esin Gulbahar
  • Elias Koulouridis
  • Iván Muñoz Rodríguez
  • Lucio Chiappetti
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{lieu2026data,
  title = {{Data representation matters: Optimising machine learning for X-ray source classification by leveraging spatio-spectral information}},
  author = {Maggie Lieu and Ivan Valtchanov and Marguerite Pierre and Esin Gulbahar and Elias Koulouridis and Iván Muñoz Rodríguez and Lucio Chiappetti},
  journal = {Astronomy \& Astrophysics},
  year = {2026},
  month = oct,
  doi = {10.1051/0004-6361/202660440},
  url = {https://www.aanda.org/10.1051/0004-6361/202660440},
}
RIS
TY  - JOUR
TI  - Data representation matters: Optimising machine learning for X-ray source classification by leveraging spatio-spectral information
AU  - Maggie Lieu
AU  - Ivan Valtchanov
AU  - Marguerite Pierre
AU  - Esin Gulbahar
AU  - Elias Koulouridis
AU  - Iván Muñoz Rodríguez
AU  - Lucio Chiappetti
PY  - 2026
DA  - 2026/10/22
JO  - Astronomy & Astrophysics
DO  - 10.1051/0004-6361/202660440
UR  - https://www.aanda.org/10.1051/0004-6361/202660440
SN  - 0004-6361
SN  - 1432-0746
ER  -