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2012.01172
Cited By

ReproducedPapers.org: Openly teaching and structuring machine learning
reproducibility

ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility

International Workshop on Reproducible Research in Pattern Recognition (RRPR), 2020

1 December 2020

Jesse H. Krijthe

Cynthia C. S. Liem

Annibale Panichella

Mathijs de Weerdt

ArXiv (abs)PDF HTML

Papers citing "ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility"

3 / 3 papers shown

Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers

Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers

Harald Semmelrock

Tony Ross-Hellauer

Simone Kopeinik

Stefan Thalmann

597

65

0

20 Jun 2024

Reproducibility in Machine Learning-Driven Research

Reproducibility in Machine Learning-Driven Research

Harald Semmelrock

Simone Kopeinik

Tony Ross-Hellauer

224

36

0

19 Jul 2023

Reproducibility as a Mechanism for Teaching Fairness, Accountability,
Confidentiality, and Transparency in Artificial Intelligence

Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial IntelligenceAAAI Conference on Artificial Intelligence (AAAI), 2021

Maurits J. R. Bleeker

Samarth Bhargav

Maarten de Rijke

360

15

0

01 Nov 2021

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