45 citations · 70 across the 3 of their papers we have counts for
5 papers
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,…
Differentially Private Generation of Small Images
Justus T. C. Schwabedal, Pascal Michel, Mario S. Riontino
We explore the training of generative adversarial networks with differential privacy to anonymize image data sets. On MNIST, we numerically measure the privacy-utility trade-off us…
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…
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates
Justus T. C. Schwabedal, John C. Snyder, Ayse Cakmak +2
Randomizing the Fourier-transform (FT) phases of temporal-spatial data generates surrogates that approximate examples from the data-generating distribution. We propose such FT surr…