Publications

Oliver Kirsten, Martin Bogdan, and Sophie Adama. Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient. 2023 7th International Conference on Imaging, Signal Processing and Communications (ICISPC), 37-41, 2023. [PUMA: models Consciousness Prediction from:scadsfct Syndrome Predictive processing modeling Theory algorithms data learning Information Complexity Modeling Processing Machine Learning Neuroscience Training Measures Locked-In and Computational Signal]

Aris Marcolongo, Mykhailo Vladymyrov, Sebastian Lienert, Nadav Peleg, Sigve Haug, and Jakob Zscheischler. Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks. Environmental Data Science, (1):e2, 2022. [PUMA: Convolutional Networks Predicting low gross production data from:scadsfct primary Neural weather]

Markus Bauer, and Christoph Augenstein. Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.. Proceedings of the 18th Conference on Computer Science and Intelligence Systems, (35):93–101, IEEE, September 2023. [PUMA: Study Learning Computer Data Self-Supervised from:scadsfct Unlabelled Comparative Vision.] URL

Vincent D Friedrich, Peter Pennitz, Emanuel Wyler, Julia M Adler, Dylan Postmus, Luiz Gustavo Teixeira Alves, Julia Prigann, Fabian Pott, Daria Vladimirova, Thomas Hoefler, Cengiz Goekeri, Markus Landthaler, Christine Goffinet, Antoine-Emmanuel Saliba, Markus Scholz, Martin Witzenrath, Jakob Trimpert, Holger Kirsten, and Geraldine Nouailles. Neural Network-Assisted Humanization of COVID-19 Hamster scRNAseq Data Reveals Matching Severity States in Human Disease. Cold Spring Harbor Laboratory, January 2024. [PUMA: States Network HCOVID-19 Data Severity from:scadsfct Neural scRNAseq] URL