%0 Conference Paper %1 KirstenBogdanAdama2023DoC-Forest %A Kirsten, Oliver %A Bogdan, Martin %A Adama, Sophie %B 2023 7th International Conference on Imaging, Signal Processing and Communications (ICISPC) %D 2023 %K Complexity Computational Consciousness Information Learning Locked-In Machine Measures Modeling Neuroscience Prediction Predictive Processing Signal Syndrome Theory Training Zno algorithms and data learning modeling models processing %P 37-41 %R 10.1109/ICISPC59567.2023.00015 %T Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient

@inproceedings{KirstenBogdanAdama2023DoC-Forest, added-at = {2025-01-07T11:15:34.000+0100}, author = {Kirsten, Oliver and Bogdan, Martin and Adama, Sophie}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2fb3bee36dcb014e480f012b2162f34bf/scadsfct}, booktitle = {2023 7th International Conference on Imaging, Signal Processing and Communications (ICISPC)}, doi = {10.1109/ICISPC59567.2023.00015}, interhash = {67b0981f08c219ef7743a384ad10a048}, intrahash = {fb3bee36dcb014e480f012b2162f34bf}, keywords = {Complexity Computational Consciousness Information Learning Locked-In Machine Measures Modeling Neuroscience Prediction Predictive Processing Signal Syndrome Theory Training Zno algorithms and data learning modeling models processing}, pages = {37-41}, timestamp = {2025-02-17T11:25:22.000+0100}, title = {Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient}, year = 2023 }