Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform

Work

Year: 2022

Type: article

Abstract: Obtaining standardized crowdsourced benchmark of computational methods is a major issue in data science communities. Dedicated frameworks enabling fair benchmarking in a unified environment are yet to... more

Source: Patterns

Authors: Zhen Xu, Sérgio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu +3 more

Institutions: Universitat de Barcelona, Université Paris-Saclay, Gleason (United States), Tsinghua University

Language: English

Cites: 25

Cited by: 49

Related to: 10

FWCI: 5.763

Citation percentile (by year/subfield): 77.15

Topic: Machine Learning and Data Classification

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Sustainable Development Goal: Partnerships for the goals

Open Access status: gold

APC paid (est): $5,200