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researcher

Rafael Izbicki

Centro de Ciências Exatas e de Tecnologia, Universidade Federal de São Carlos, São Carlos, Brasil.

47 papers hereh-index 262k citations93 works total

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

author position
  • first author9
  • middle author30
  • last author6

Across the 45 of 47 papers where every author was matched, so the position is known.

fields
  • stat.ME14
  • stat.ML12
  • math.ST5
  • stat.AP4
  • astro-ph.IM3
  • cs.LG3
affiliations
  • Centro de Ciências Exatas e de Tecnologia, Universidade Federal de São Carlos, São Carlos, Brasil.
Homepage
same name
  • Rafael Izbicki — 11 papers, h 5
  • Rafael Izbicki — 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

activity
20112023
most citedNew Image Statistics for Detecting Disturbed Galaxy Morphologies at High Redshift

91 citations · 581 across the 43 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

stat.ME2023

Spectral smooth tests for goodness-of-fit

Victor Candido Reis, Rafael Izbicki

Goodness-of-fit tests are crucial tools for assessing the validity of statistical models. In this paper, we introduce a novel approach, the Spectral Smooth Test (SST), that general…

stat.ML2023

Expertise-based Weighting for Regression Models with Noisy Labels

Milene Regina dos Santos, Rafael Izbicki

Regression methods assume that accurate labels are available for training. However, in certain scenarios, obtaining accurate labels may not be feasible, and relying on multiple spe…

cs.CL2023

Is augmentation effective to improve prediction in imbalanced text datasets?

Gabriel O. Assunção, Rafael Izbicki, Marcos O. Prates

Imbalanced datasets present a significant challenge for machine learning models, often leading to biased predictions. To address this issue, data augmentation techniques are widely…

stat.ME2023

Flexible conditional density estimation for time series

Gustavo Grivol, Rafael Izbicki, Alex A. Okuno +1

This paper introduces FlexCodeTS, a new conditional density estimator for time series. FlexCodeTS is a flexible nonparametric conditional density estimator, which can be based on a…

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