53 citations · 135 across the 12 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2022★ 53 cited
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring
Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost +4
Over the last few years, research in automatic sleep scoring has mainly focused on developing increasingly complex deep learning architectures. However, recently these approaches a…
stat.ML2016★ 25 cited
GENESIM: genetic extraction of a single, interpretable model
Gilles Vandewiele, Olivier Janssens, Femke Ongenae +2
Models obtained by decision tree induction techniques excel in being interpretable.However, they can be prone to overfitting, which results in a low predictive performance. Ensembl…