1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
mlscorecheck: Testing the consistency of reported performance scores and experiments in machine learning
György Kovács, Attila Fazekas
Addressing the reproducibility crisis in artificial intelligence through the validation of reported experimental results is a challenging task. It necessitates either the reimpleme…
cs.LG2023★ 1 cited
Testing the Consistency of Performance Scores Reported for Binary Classification Problems
Attila Fazekas, György Kovács
Binary classification is a fundamental task in machine learning, with applications spanning various scientific domains. Whether scientists are conducting fundamental research or re…