Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform-Reference-Cited by-同舟云学术

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

Published:2022-07 Issue:7 Volume:3 Page:100543
ISSN:2666-3899
Container-title:Patterns
language:en
Short-container-title:Patterns

Author:

Xu Zhen^ORCID,Escalera Sergio,Pavão Adrien,Richard Magali,Tu Wei-Wei,Yao Quanming^ORCID,Zhao Huan,Guyon Isabelle^ORCID

Publisher

Elsevier BV

Subject

General Decision Sciences

Reference21 articles.

1. Openml: networked science in machine learning;Vanschoren;SIGKDD Explor.,2014

2. Analysis of dawnbench, a time-to-accuracy machine learning performance benchmark;Coleman;ACM SIGOPS Oper. Syst. Rev.,2019

3. Are we ready for autonomous driving? The KITTI vision benchmark suite;Geiger,2012

4. Automated Machine Learning - Methods, Systems, Challenges,2019

5. Open graph benchmark: datasets for machine learning on graphs;Hu,2020

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2. Challenges and perspectives in computational deconvolution of genomics data;Nature Methods;2024-02-19

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