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Generative and reproducible benchmarks for comprehensive evaluation of
  machine learning classifiers

Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers

14 July 2021
Patryk Orzechowski
J. Moore
    ELM
    VLM
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Papers citing "Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers"

3 / 3 papers shown
Title
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
Qi Liu
Zhengze Gong
Zhenya Huang
Chuanren Liu
Hengshu Zhu
Zhi Li
Enhong Chen
Hui Xiong
32
0
0
14 Jul 2023
Faster Convergence with Lexicase Selection in Tree-based Automated
  Machine Learning
Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning
Nicholas Matsumoto
A. Saini
P. Ribeiro
Hyun-Deok Choi
A. Orlenko
L. Lyytikainen
J. Laurikka
T. Lehtimaki
Sandra Batista
Jason W. Moore
6
3
0
01 Feb 2023
Benchmarking AutoML algorithms on a collection of synthetic
  classification problems
Benchmarking AutoML algorithms on a collection of synthetic classification problems
P. Ribeiro
Patryk Orzechowski
Joost B. Wagenaar
J. H. Moore
27
2
0
06 Dec 2022
1