265 citations · 1k across the 17 of their papers we have counts for
17 papers
Automatic Readability Assessment of German Sentences with Transformer Ensembles
Patrick Gustav Blaneck, Tobias Bornheim, Niklas Grieger +1
Reliable methods for automatic readability assessment have the potential to impact a variety of fields, ranging from machine translation to self-informed learning. Recently, large…
Advanced sleep spindle identification with neural networks
Lars Kaulen, Justus T. C. Schwabedal, Jules Schneider +2
Sleep spindles are neurophysiological phenomena that appear to be linked to memory formation and other functions of the central nervous system, and that can be observed in electroe…
Automated scoring of pre-REM sleep in mice with deep learning
Niklas Grieger, Justus T. C. Schwabedal, Stefanie Wendel +2
Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems,…
Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning
Justus T. C. Schwabedal, Daniel Sippel, Moritz D. Brandt +1
Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-ter…
Early warning signal for interior crises in excitable systems
Rajat Karnatak, Holger Kantz, Stephan Bialonski
The ability to reliably predict critical transitions in dynamical systems is a long-standing goal of diverse scientific communities. Previous work focused on early warning signals…
Evaluation of selected recurrence measures in discriminating pre-ictal and inter-ictal periods from epileptic EEG data
Eulalie Joelle Ngamga, Stephan Bialonski, Norbert Marwan +3
We investigate the suitability of selected measures of complexity based on recurrence quantification analysis and recurrence networks for an identification of pre-seizure states in…