2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2023
Reject option models comprising out-of-distribution detection
Vojtech Franc, Daniel Prusa, Jakub Paplham
The optimal prediction strategy for out-of-distribution (OOD) setups is a fundamental question in machine learning. In this paper, we address this question and present several cont…
cs.CV2023★ 2 cited
A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
Jakub Paplham, Vojtech Franc
Comparing different age estimation methods poses a challenge due to the unreliability of published results stemming from inconsistencies in the benchmarking process. Previous studi…
cs.LG2020
On Model Evaluation under Non-constant Class Imbalance
Jan Brabec, Tomáš Komárek, Vojtěch Franc +1
Many real-world classification problems are significantly class-imbalanced to detriment of the class of interest. The standard set of proper evaluation metrics is well-known but th…