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Cham : Springer International Publishing, 2022, S. 40–51","mla":"Sanaullah, Sanaullah, et al. “SNNs Model Analyzing and Visualizing Experimentation Using RAVSim.” Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, edited by Lazaros Iliadis et al., Springer International Publishing, 2022, pp. 40–51, doi:10.1007/978-3-031-08223-8_4.","bibtex":"@inproceedings{Sanaullah_Koravuna_Rückert_Jungeblut_2022, place={Cham}, series={Communications in Computer and Information Science}, title={SNNs Model Analyzing and Visualizing Experimentation Using RAVSim}, DOI={10.1007/978-3-031-08223-8_4}, booktitle={Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings}, publisher={Springer International Publishing}, author={Sanaullah, Sanaullah and Koravuna, Shamini and Rückert, Ulrich and Jungeblut, Thorsten}, editor={Iliadis, Lazaros and Jayne, Chrisina and Tefas, Anastasios and Pimenidis, EliasEditors}, year={2022}, pages={40–51}, collection={Communications in Computer and Information Science} }","short":"S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: L. Iliadis, C. Jayne, A. Tefas, E. Pimenidis (Eds.), Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, Springer International Publishing, Cham, 2022, pp. 40–51.","chicago":"Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “SNNs Model Analyzing and Visualizing Experimentation Using RAVSim.” In Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, edited by Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, and Elias Pimenidis, 40–51. Communications in Computer and Information Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-08223-8_4.","ama":"Sanaullah S, Koravuna S, Rückert U, Jungeblut T. SNNs Model Analyzing and Visualizing Experimentation Using RAVSim. In: Iliadis L, Jayne C, Tefas A, Pimenidis E, eds. Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings. Communications in Computer and Information Science. 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WORKSHOP COMPUTATIONAL INTELLIGENCE","main_file_link":[{"url":"https://publikationen.bibliothek.kit.edu/1000151141","open_access":"1"}],"volume":32,"type":"conference","doi":"10.5445/KSP/1000151141","corporate_editor":["Karlsruhier Institut für Technologie (KIT)"],"publication_identifier":{"isbn":["978-3-7315-1239-4"]},"conference":{"start_date":"30.11.22","location":"Berlin","end_date":"02.12.22"},"place":"Karlsruhe","citation":{"ama":"Vollenkemper L, Kohlhase M. Spatial Temporal Transformer Networks for Sparse Motion Capture Applications. In: Schulte H, Hoffman F, Mikut R, Karlsruhier Institut für Technologie (KIT), eds. PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE. Vol 32. WORKSHOP COMPUTATIONAL INTELLIGENCE. Karlsruhe: KIT Scientific Publishing; 2022. doi:10.5445/KSP/1000151141","chicago":"Vollenkemper, Lukas, and Martin Kohlhase. “Spatial Temporal Transformer Networks for Sparse Motion Capture Applications.” In PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, edited by Horst Schulte, Frank Hoffman, Ralf Mikut, and Karlsruhier Institut für Technologie (KIT), Vol. 32. WORKSHOP COMPUTATIONAL INTELLIGENCE. Karlsruhe: KIT Scientific Publishing, 2022. https://doi.org/10.5445/KSP/1000151141.","alphadin":"Vollenkemper, Lukas ; Kohlhase, Martin: Spatial Temporal Transformer Networks for Sparse Motion Capture Applications. In: Schulte, H. ; Hoffman, F. ; Mikut, R. ; Karlsruhier Institut für Technologie (KIT) (Hrsg.): PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, WORKSHOP COMPUTATIONAL INTELLIGENCE. Bd. 32. Karlsruhe : KIT Scientific Publishing, 2022","short":"L. Vollenkemper, M. Kohlhase, in: H. Schulte, F. Hoffman, R. Mikut, Karlsruhier Institut für Technologie (KIT) (Eds.), PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, KIT Scientific Publishing, Karlsruhe, 2022.","mla":"Vollenkemper, Lukas, and Martin Kohlhase. “Spatial Temporal Transformer Networks for Sparse Motion Capture Applications.” PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, edited by Horst Schulte et al., vol. 32, KIT Scientific Publishing, 2022, doi:10.5445/KSP/1000151141.","bibtex":"@inproceedings{Vollenkemper_Kohlhase_2022, place={Karlsruhe}, series={WORKSHOP COMPUTATIONAL INTELLIGENCE}, title={Spatial Temporal Transformer Networks for Sparse Motion Capture Applications}, volume={32}, DOI={10.5445/KSP/1000151141}, booktitle={PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE}, publisher={KIT Scientific Publishing}, author={Vollenkemper, Lukas and Kohlhase, Martin}, editor={Schulte, Horst and Hoffman, Frank and Mikut, Ralf and Karlsruhier Institut für Technologie (KIT)Editors}, year={2022}, collection={WORKSHOP COMPUTATIONAL INTELLIGENCE} }","apa":"Vollenkemper, L., & Kohlhase, M. (2022). Spatial Temporal Transformer Networks for Sparse Motion Capture Applications. In H. Schulte, F. Hoffman, R. Mikut, & Karlsruhier Institut für Technologie (KIT) (Eds.), PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE (Vol. 32). Karlsruhe: KIT Scientific Publishing. https://doi.org/10.5445/KSP/1000151141","ieee":"L. Vollenkemper and M. Kohlhase, “Spatial Temporal Transformer Networks for Sparse Motion Capture Applications,” in PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, Berlin, 2022, vol. 32."},"editor":[{"full_name":"Schulte, Horst","last_name":"Schulte","first_name":"Horst"},{"last_name":"Hoffman","full_name":"Hoffman, Frank","first_name":"Frank"},{"full_name":"Mikut, Ralf","last_name":"Mikut","first_name":"Ralf"}]}]