Search Results for author: Attila Fazekas

Found 5 papers, 3 papers with code

mlscorecheck: Testing the consistency of reported performance scores and experiments in machine learning

no code implementations13 Nov 2023 György Kovács, Attila Fazekas

Addressing the reproducibility crisis in artificial intelligence through the validation of reported experimental results is a challenging task.

Testing the Consistency of Performance Scores Reported for Binary Classification Problems

2 code implementations19 Oct 2023 Attila Fazekas, György Kovács

In this paper, we introduce numerical techniques to assess the consistency of reported performance scores and the assumed experimental setup.

Binary Classification Specificity

Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure

no code implementations24 Jul 2020 Attila Fazekas, György Kovács

The recently introduced Matching by Tone Mapping (MTM) dissimilarity measure enables template matching under smooth non-linear distortions and also has a well-established mathematical background.

Open-Ended Question Answering Template Matching +1

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