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Brandenberger, L.; Bakhteev, O.; Fernandez, J. M.; Schlosser, S.; Salamanca, L. "Introducing embed2discover: A tool for semi-automated, dictionary-based content-analysis" Preprint 2024 View publication
Preprint
Moebus, Max; Gashi, Shkurta; Hilty, Marc; Oldrati, Pietro; Holz, Christian; PHRT Consortium, "Meaningful digital biomarkers derived from wearable sensors to predict daily fatigue in multiple sclerosis patients and healthy controls" iScience 27 2 108965 2024 View publication
Journal Article
Moebus, M.; Hilty, M.; Oldrati, P.; Barrios, L.; PHRT Author Consortium; Holz, C. "Assessing the Role of the Autonomic Nervous System as a Driver of Sleep Quality in Patients With Multiple Sclerosis: Observation Study" JMIR Neurotechnology 3 e48148 2024 View publication
Journal Article
Schillinger, M.; Shen, X.; Samarin, M.; Meinshausen, N. "Machine Learning for Multivariate Downscaling: A Generative Model Inspired by Forecast Evaluation" EGU General Assembly 2024 View publication
Conference Paper
Schillinger, M.; Shen, X.; Samarin, M.; Meinshausen, N. "Generative Modelling for Multivariate Downscaling via Proper Scoring Rules" International Meeting on Statistical Climatology 2024 View publication
Presentation
Kacprzak, T.; Samothrakitis, S.; Larsen, C. B.; Kopeček, J.; Strobl, M.; Polatidis, E.; Obozinski, G. "Laue Indexing with Optimal Transport" Preprint 2024 View publication
Preprint
Bassi, A.; Höge, M.; Mira, A.; Fenicia, F.; Albert, C. "Learning Landscape Features from Streamflow with Autoencoders" Preprint 2024 View publication
Preprint
Wang, R.; Xin, Y.; Zhang, Y.; Perez-Cruz, F.; Raubal, M. "Counterfactual Explanations for Deep Learning-Based Traffic Forecasting" Preprint 2024 View publication
Preprint
Humml, J. M.; Cohen, V.; Perez-Cruz, F.; Gharib, M.; Rösgen, T. "Augmented Reality Guided Aerodynamic Sampling" AIAA SCITECH 2024 Forum 2024 View publication
Conference Paper
Di Noia, A.; Macocco, I.; Glielmo, A.; Laio, A.; Mira, A. "Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identification" Preprint 2024 View publication
Preprint
Humml, J. M.; Oshima, E.; O'Gara, S.; Rusch, A.; Gharib, M.; Lee, V.; Khodadoust, A. "Development of machine learning tools for aerospace design: wind tunnel investigations on a speed bump model" AIAA SCITECH 2024 Forum 2024 View publication
Conference Paper
Bertoli, G.; Mohebi, S.; Ozdemir, F.; Jucker, J.; Rüdisühli, S.; Perez-Cruz, F.; Schemm, S. "Revisiting Machine Learning Approaches for Short- and Longwave Radiation Inference in Weather and Climate Models, Part II: Online Performance" Preprint 2024 View publication
Preprint
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