The role of hyperparameters in machine learning models and how to tune them C Arnold, L Biedebach, A Küpfer, M Neunhoeffer Political Science Research and Methods, 1-8, 2023 | 11 | 2023 |
Anomaly detection in sleep: detecting mouth breathing in children L Biedebach, M Óskarsdóttir, ES Arnardóttir, S Sigurdardóttir, MV Clausen, ... Data Mining and Knowledge Discovery, 2023 | 2 | 2023 |
Towards a Deeper Understanding of Sleep Stages through their Representation in the Latent Space of Variational Autoencoders L Biedebach, M Rusanen, B Thordarson, E Arnardottir, M Óskarsdóttir, ... | 2 | 2023 |
Representation Learning for Anomaly Detection in Sleep Identifying Pediatric Mouth Breathing through Convolutional Autoencoders L Biedebach, M Óskarsdóttir, AS Islind, ES Arnardóttir Sleep Medicine 100, S271-S272, 2022 | 1 | 2022 |
To breathe, or not to breathe through the mouth: analysing mouth breathing in a pediatric sleep study L Biedebach, D Gozal, ES Arnardóttir, S Sigurðardóttir, AS Islind Sleep Medicine 115, S286-S287, 2024 | | 2024 |
Two Sides of the Same Pillow: Unfolding the Relationship between Objective and Subjective Sleep Quality with Unsupervised Learning L Biedebach, M Óskarsdóttir, ES Arnardottir, AS Islind ICIS 2023 Proceedings 20, 2023 | | 2023 |