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A. Melo

11 papers hereh-index 319 citations12 works total

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

author position
  • middle author8
  • last author2

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • astro-ph.IM6
  • astro-ph.GA3
  • astro-ph.CO2
same name
  • A. Melo — 399 papers
  • A. Melo — 18 papers
  • A. Melo — 18 papers, h 4
  • A. Melo — 11 papers
  • A. Melo — 8 papers
  • A. Melo — 7 papers, h 5

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

activity
20242026
most citedHOLISMOKES XIII: Strong-lens candidates at all mass scales and their environments from the Hyper-Suprime Cam and deep learning

9 citations · 40 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

astro-ph.IM2026

OASIS: On-the-fly ASynchronous Image Stream classification -- Transformer-based models for the early detection of strongly lensed supernovae

Satadru Bag, Raoul Canameras, Sherry H. Suyu +4

Time-domain surveys often produce asynchronous image sequences across irregular observation times and photometric bands. In many applications, predictions are needed after each new…

astro-ph.IM2026

HOLISMOKES XXI: Detecting strongly lensed type Ia supernovae from time series of multi-band LSST-like imaging data -- Part II

Satadru Bag, Raoul Canameras, Sherry H. Suyu +5

Strong gravitationally lensed supernovae (LSNe) are rare but extremely valuable probes of cosmology and astrophysics. Prompt identification within the alert streams of time-domain…

astro-ph.IM2026

Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems

Euclid Collaboration, S. H. Vincken, K. Rojas +302

We present AstroVink, a vision transformer classifier designed for automated identification of strong lens candidates in Euclid imaging. We build upon the DINOv2 encoder, fine tune…

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