2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CY2017
Smartphone-based paroxysmal atrial fibrillation monitoring with robust generalization
Tamas Madl, David Madl
Atrial fibrillation is increasingly prevalent, especially in the elderly, and challenging to detect due paroxysmal nature. Here, we propose novel computational methods based on hea…
stat.ML2017★ 2 cited
Safe Semi-Supervised Learning of Sum-Product Networks
Martin Trapp, Tamas Madl, Robert Peharz +2
In several domains obtaining class annotations is expensive while at the same time unlabelled data are abundant. While most semi-supervised approaches enforce restrictive assumptio…