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Found 5 papers, 3 papers with code
Advanced sleep spindle identification with neural networks
Our model's performance exceeds that of the state-of-the-art detector and of most experts in the MODA dataset.
Ranked #1 on
Spindle Detection
on MODA dataset
Automated scoring of pre-REM sleep in mice with deep learning
When restricted to the classical stages, the optimized network showed state-of-the-art classification performance with an out-of-sample F1 score of 0. 95 in male C57BL/6J mice.
Differentially Private Generation of Small Images
We explore the training of generative adversarial networks with differential privacy to anonymize image data sets.
Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning
Sleep scoring is a necessary and time-consuming task in sleep studies.
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates
To quantify how well the distributions of the surrogates and the original data match, we evaluated a trained classifier on surrogates of correctly classified examples, and summarized these conditional predictions in a confusion matrix.
