1 citations · 1 across the 4 of their papers we have counts for
4 papers
Multi-Window Temporal Analysis for Enhanced Arrhythmia Classification: Leveraging Long-Range Dependencies in Electrocardiogram Signals
Tiezhi Wang, Wilhelm Haverkamp, Nils Strodthoff
Objective. Arrhythmia classification from electrocardiograms (ECGs) suffers from high false positive rates and limited cross-dataset generalization, particularly for atrial fibrill…
Spineless Traversal for Layout Invalidation
Marisa Kirisame, Tiezhi Wang, Pavel Panchekha
Latency is a major concern for web rendering engines like those in Chrome, Safari, and Firefox. These engines reduce latency by using an incremental layout algorithm to redraw the…
Assessing the importance of long-range correlations for deep-learning-based sleep staging
Tiezhi Wang, Nils Strodthoff
This study aims to elucidate the significance of long-range correlations for deep-learning-based sleep staging. It is centered around S4Sleep(TS), a recently proposed model for aut…
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
Tiezhi Wang, Nils Strodthoff
Scoring sleep stages in polysomnography recordings is a time-consuming task plagued by significant inter-rater variability. Therefore, it stands to benefit from the application of…