◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

André G. C. Pacheco

4 papers here

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

author position
  • first author3
  • last author1

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

fields
  • eess.IV2
  • cs.AI1
  • cs.LG1
ORCID 0000-0003-0117-9308
same name
  • André G. C. Pacheco — 2 papers, h 2
  • André G. C. Pacheco — 1 paper, h 15

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
20162020
most citedRecent advances in deep learning applied to skin cancer detection

11 citations · 18 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2020★ 1 cited

PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones

Andre G. C. Pacheco, Gustavo R. Lima, Amanda S. Salomão +16

Over the past few years, different computer-aided diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images s…

eess.IV2019★ 11 cited

Recent advances in deep learning applied to skin cancer detection

Andre G. C. Pacheco, Renato A. Krohling

Skin cancer is a major public health problem around the world. Its early detection is very important to increase patient prognostics. However, the lack of qualified professionals a…

cs.LG2016

Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS

Andre G. C. Pacheco, Renato A. Krohling

In classification problems when multiples algorithms are applied to different benchmarks a difficult issue arises, i.e., how can we rank the algorithms? In machine learning it is c…

cs.AI2016★ 6 cited

TODIM and TOPSIS with Z-numbers

R. A. Krohling, Artem dos Santos, A. G. C. Pacheco

In this paper, we present an approach that is able to handle with Z-numbers in the context of Multi-Criteria Decision Making (MCDM) problems. Z-numbers are composed of two parts, t…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.