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Róbert Szabó

4 papers hereh-index 339 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.HE1
  • astro-ph.IM1
  • astro-ph.SR1
  • cs.CV1
same name
  • Róbert Szabó — 5 papers, h 2
  • Róbert Szabó — 4 papers, h 2
  • Róbert Szabó — 1 paper, h 1
  • Róbert Szabó — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSN 2018agk: A Prototypical Type Ia Supernova with a Smooth Power-law Rise in Kepler (K2)

16 citations · 33 across the 3 of their papers we have counts for

collaborators

4 papers

astro-ph.IM2021★ 12 cited

Automated Extended Aperture Photometry of K2 variable stars

Attila Bódi, Pál Szabó, Emese Plachy +2

Proper photometric data are challenging to obtain in the K2 mission of the Kepler space telescope due to strong systematics caused by the two-wheel-mode operation. It is especially…

astro-ph.SR2021

K2 Observations of Galactic RRd Stars

Paweł Moskalik, James M. Nemec, László Molnár +3

We have analysed high-precision photometry of 77 double-mode RR Lyrae (RRd) stars observed by NASA's Kepler-K2 mission during Campaigns 1-18. Among those stars, we have identified…

astro-ph.HE2021★ 16 cited

SN 2018agk: A Prototypical Type Ia Supernova with a Smooth Power-law Rise in Kepler (K2)

Qinan Wang, Armin Rest, Yossef Zenati +73

We present the 30-min cadence Kepler/K2 light curve of the Type Ia supernova (SN Ia) SN 2018agk, covering approximately one week before explosion, the full rise phase and the decli…

cs.CV2020★ 5 cited

Visualizing Transfer Learning

Róbert Szabó, Dániel Katona, Márton Csillag +2

We provide visualizations of individual neurons of a deep image recognition network during the temporal process of transfer learning. These visualizations qualitatively demonstrate…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.