ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.03991
  4. Cited By
The challenge of reproducible ML: an empirical study on the impact of
  bugs

The challenge of reproducible ML: an empirical study on the impact of bugs

International Conference on Software Quality, Reliability and Security (QRS), 2021
9 September 2021
Emilio Rivera-Landos
Foutse Khomh
Amin Nikanjam
ArXiv (abs)PDFHTML

Papers citing "The challenge of reproducible ML: an empirical study on the impact of bugs"

3 / 3 papers shown
Bug Characterization in Machine Learning-based Systems
Bug Characterization in Machine Learning-based SystemsEmpirical Software Engineering (EMSE), 2023
Mohammad Mehdi Morovati
Amin Nikanjam
Florian Tambon
Foutse Khomh
Zhen Ming
Z. Jiang
182
28
0
26 Jul 2023
Online learning techniques for prediction of temporal tabular datasets
  with regime changes
Online learning techniques for prediction of temporal tabular datasets with regime changes
Thomas Wong
Mauricio Barahona
OODAI4TS
240
1
0
30 Dec 2022
Bugs in Machine Learning-based Systems: A Faultload Benchmark
Bugs in Machine Learning-based Systems: A Faultload BenchmarkEmpirical Software Engineering (EMSE), 2022
Mohammad Mehdi Morovati
Amin Nikanjam
Foutse Khomh
Zhen Ming
Z. Jiang
162
30
0
24 Jun 2022
1