3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 3 cited
Novel split quality measures for stratified multilabel Cross Validation with application to large and sparse gene ontology datasets
Henri Tiittanen, Liisa Holm, Petri Törönen
Multilabel learning is an important topic in machine learning research. Evaluating models in multilabel settings requires specific cross validation methods designed for multilabel…
q-bio.QM2016
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark +144
Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations i…