research
∙
08/09/2022
A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets
This paper proposes a Bayesian model to compare multiple algorithms on m...
share
research
∙
08/26/2020
How to tune the RBF SVM hyperparameters?: An empirical evaluation of 18 search algorithms
SVM with an RBF kernel is usually one of the best classification algorit...
research
∙
10/16/2018
An empirical evaluation of imbalanced data strategies from a practitioner's point of view
This research tested the following well known strategies to deal with bi...
research
∙
09/25/2018
Nested cross-validation when selecting classifiers is overzealous for most practical applications
When selecting a classification algorithm to be applied to a particular ...
research
∙
06/13/2016
Specialized Support Vector Machines for open-set recognition
Often, when dealing with real-world recognition problems, we do not need...
research
∙
06/02/2016
Comparison of 14 different families of classification algorithms on 115 binary datasets
We tested 14 very different classification algorithms (random forest, gr...
research
∙
06/27/2012
