30 citations · 60 across the 3 of their papers we have counts for
3 papers · 1 filter
Black Magic in Deep Learning: How Human Skill Impacts Network Training
Kanav Anand, Ziqi Wang, Marco Loog +1
How does a user's prior experience with deep learning impact accuracy? We present an initial study based on 31 participants with different levels of experience. Their task is to pe…
Label Stability in Multiple Instance Learning
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax +2
We address the problem of \emph{instance label stability} in multiple instance learning (MIL) classifiers. These classifiers are trained only on globally annotated images (bags), b…
Classification of COPD with Multiple Instance Learning
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax +3
Chronic obstructive pulmonary disease (COPD) is a lung disease where early detection benefits the survival rate. COPD can be quantified by classifying patches of computed tomograph…