%0 Journal Article %1 Adama2022-bm %A Adama, Sophie %A Wu, Shang-Ju %A Nicolaou, Nicoletta %A Bogdan, Martin %D 2022 %I ARGESIM Arbeitsgemeinschaft Simulation News %J SNE Simul. Notes Eur. %K conscious hybrid learning machine patient states zno {CLIS} %N 1 %P 37--45 %R 10.11128/sne.32.tn.10596 %T Extendable hybrid approach to detect conscious states in a CLIS patient using machine learning %V 32

@article{Adama2022-bm, added-at = {2025-01-07T11:31:14.000+0100}, author = {Adama, Sophie and Wu, Shang-Ju and Nicolaou, Nicoletta and Bogdan, Martin}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/24c587d49b4c2f628099f494efc4fdb21/scadsfct}, doi = {10.11128/sne.32.tn.10596}, interhash = {0be86ef73314580c0f7d2a6c4739bd10}, intrahash = {4c587d49b4c2f628099f494efc4fdb21}, journal = {SNE Simul. Notes Eur.}, keywords = {conscious hybrid learning machine patient states zno {CLIS}}, number = 1, pages = {37--45}, publisher = {ARGESIM Arbeitsgemeinschaft Simulation News}, timestamp = {2025-08-25T13:40:19.000+0200}, title = {Extendable hybrid approach to detect conscious states in a CLIS patient using machine learning}, volume = 32, year = 2022 }