3 citations · 4 across the 2 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…
stat.ML2019★ 1 cited
Estimating regression errors without ground truth values
Henri Tiittanen, Emilia Oikarinen, Andreas Henelius +1
Regression analysis is a standard supervised machine learning method used to model an outcome variable in terms of a set of predictor variables. In most real-world applications we…