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Marcelo Becker

7 papers hereh-index 347 citations10 works total

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

author position
  • middle author1
  • last author6

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
  • cs.RO1
same name
  • Marcelo Becker — 10 papers, h 1
  • Marcelo Becker — 4 papers, h 2
  • Marcelo Becker — 2 papers, h 3
  • Marcelo Becker — 2 papers, h 0
  • Marcelo Becker — 1 paper
  • Marcelo Becker — 1 paper

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 citedThe Impact of Feature Scaling In Machine Learning: Effects on Regression and Classification Tasks

50 citations · 53 across the 7 of their papers we have counts for

collaborators
Showing 2026 · cs.CVShow all

3 papers · 2 filters

cs.CV2026

Biological Sex Determination in Cadavers Using Deep Learning Algorithms from Computed Tomography Images of Pelvis and Skull

Giovanna Herculano Tormena, Davi Nascimento Araújo, Germano Coimbra Soares de Carvalho +10

Sexual identification of decomposed cadavers challenges traditional methods dependent on visual anthropological analysis. This study evaluates state-of-the-art deep learning (inclu…

cs.CV2026

Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI

Joao Manoel Herrera Pinheiro, Gabriela Do Nascimento Herrera, Alvaro Doria Dos Santos +7

Accurate taxonomic identification of parasitoid wasps within the superfamily Ichneumonoidea is essential for biodiversity assessment, ecological monitoring, and biological control…

cs.CV2026

Descriptor: Parasitoid Wasps and Associated Hymenoptera Dataset (DAPWH)

Joao Manoel Herrera Pinheiro, Gabriela Do Nascimento Herrera, Luciana Bueno Dos Reis Fernandes +7

Accurate taxonomic identification is the cornerstone of biodiversity monitoring and agricultural management, particularly for the hyper-diverse superfamily Ichneumonoidea. Comprisi…

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