◍wovepaper
SearchResearchersInstitutions
Sign in
institution

University of Applied Sciences Upper Austria

Austria

23 papers here358 citations across 23
fields
  • cs.LG14
  • cs.CR2
  • cs.CE1
  • cs.DB1
  • cs.NE1
  • cs.PL1
  • math.CV1
  • math.OC1
ROR 03jqp6d56OpenAlex

affiliations via OpenAlex

output
20162026
most citedContemporary Symbolic Regression Methods and their Relative Performance

144 citations

researchers with a paper here
  • G. Kronberger2 profiles10 · h 24
  • M. Kommenda10 · h 20
  • Bogdan Burlacu2 profiles6 · h 13
  • M. Affenzeller6 · h 27
  • Lukas Kammerer3 · h 6
  • A. Beham2 · h 15
  • Daniel Dorfmeister2 profiles2 · h 3
  • F. Eibensteiner2 · h 10
  • Florian Holzinger2 profiles2 · h 2
  • Martina Zeinzinger2 · h 2
  • Stephan M. Winkler2 · h 26
  • A. Fonseca1 · h 4
collaborating institutions
  • Johannes Kepler University of LinzAT7 papers
  • Boston Children's HospitalUS2 papers
  • Harvard UniversityUS2 papers
  • Software Competence Center Hagenberg (Austria)AT2 papers
  • Universidade Federal do ABCBR2 papers
  • Boston UniversityUS1 paper
  • Centre National de la Recherche ScientifiqueFR1 paper
  • Centrum Wiskunde & InformaticaNL1 paper
  • Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper
  • Kogakkan UniversityJP1 paper
  • Langley Research CenterUS1 paper
  • Ollscoil na Gaillimhe – University of GalwayIE1 paper
Showing cs.NEShow all

1 paper · 1 filter

cs.NE2021★ 144 cited

Contemporary Symbolic Regression Methods and their Relative Performance

William La Cava, Patryk Orzechowski, Bogdan Burlacu +5

Many promising approaches to symbolic regression have been presented in recent years, yet progress in the field continues to suffer from a lack of uniform, robust, and transparent…

◍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.